ORIGINAL_ARTICLE
Estimating Floods of Various Return Periods for Babolrood Catchment Using WMS Model
Flood hazard assessment is an important topic that can reduce flood-related losses. Rainfall-runoff modeling plays a key role in the management of water resources in addition to protecting from flood hazards. The use of hydrological models to simulate the runoff necessitates the proper calibration of the different parameters. Therefore, In the present study, the Watershed Modeling System (WMS11.0) was evaluated to simulate peak discharge and volume of floods of Babolrood catchment. WMS model calibrated and validated using 3 and 2 rainfall events, respectively. Afterwards, design precipitation (DP) for 2, 5, 10, 25, 50, 100 and 500-year return periods was determined and flood resulting from DPs simulated. The results showed that the WMS model could accurately estimate the peak discharge (the error was about 5%) and the and flood volume (the error was less than 26%). But the model was not able to simulate properly the shape of the hydrograph. It also revealed that peak discharge and flood volume arising from 2 to 500-year return periods of rainfall vary between 50 to 300 m3/s and 6.6 to 32.4 Mm3, respectively.
https://jrwm.ut.ac.ir/article_85213_1505a8df6f7ba2595c877e6a88304d18.pdf
2021-11-22
469
481
10.22059/jrwm.2021.320960.1579
Rainfall-runoff
design precipitation
peak discharge modeling
flood hydrograph
Toktam
Imani
t.imani6215@gmail.com
1
Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology.
AUTHOR
Mahdi
Delghandi
delghandi@gmail.com
2
Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology
LEAD_AUTHOR
Samad
Emamgholizadeh
s_gholizadeh517@yahoo.com
3
Department of Water and Environmental Engineering, Faculty of Civil, Shahrood University of technology.
AUTHOR
Zahra
Ganji Noroozi
z_ganji59@yahoo.com
4
Department of Water and Soil, Faculty of Agricultural Engineering, Shahrood University of technology.
AUTHOR
[1] Abbaspour, K. C., Johnson, A. and Van Genuchten, M.T. (2004). Estimating uncertain flow and transport parameters using a sequential uncertainty fitting procedure. Vadose Zone Journal, 3 (4), 1340–1352.
1
[2] Ahbari, A., Stour, L., Agoumi, A. and Serhir, N. (2018). Estimation of initial values of the HMS model parameters: application to the basin of Bin El Ouidane (Azilal, Morocco). Journal of Materials and Environmental Sciences, 1(9), 305–317.
2
[3] Alizadeh, A. (2011). Principles of Applied Hydrology, 29th Edition, University of imam reza.
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[4] Almasi, P., Soltani, S., Goodarzi, M. and Modarres, R. (2017). Assessment the Impacts of Climate Change on Surface Runoff in Bazoft Watershed. Journal of Water and Soil Science, 78(20). 39 – 52.
4
[5] Arvand, S., Delghandi, M., ganji, Z. and Alipour, A. (2020). Evaluation of Storm Water Management Model (SWMM5.0) in simulation of urban runoff (case study: urban catchment of Neyshabur). Irrigation & Water Engineering, 39(10), 68 – 81.
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[6] Baginska, B., Milne-Home, W. and Cornish, P. S. (2003). Modelling nutrient transport in Currency Creek, NSW, with Ann-AGNPS and PEST. Environmental Modelling and Software, 8-9(18), 801–808.
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[7] Ghahraman, B. and Abkhezr, H. (2004). Duration-Frequency Relationships of Rainfall in Iran. Journal of Science and Technology of Agriculture and Natural Resources, 2(8), 1-14.
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[8] Ghobadiyan, R., Jahandideh, K. and Fatahi Chaghabagi, A. (2012). Simulation of the Rainfall-Runoff Process in the Gharasoo Catchment using WMS Model. Journal of Irrigation and Water Engineering, 9(3), 89-98.
8
[9] Goodarzi, M., Salahi, B. and Hossini, S.A. (2019). Assessment of IHACRES Model in Simulating River Discharge in Urmia Lake Basin. Iranian journal of Watershed Management Science and Engineering, 43(12), 1-10.
9
[10] Gumindoga, W., Rwasoka, D. T., Nhapi, I. and Dube, T. (2017). Ungauged runoff simulation in Upper Manyame Catchment, Zimbabwe: Appli cation of the HEC-HMS model. Physics and Chemistry of the Earth, Parts A/B/C, 100, 371–382.
10
[11] Haddeland, I., Clark, D. B., Franssen, W., Ludwig, F., Voß, F., Arnell, N. W., Bertrand, N., Best, M., Folwell, S., Gerten, D., Gomes, S., Gosling, S. N., Hagemann, S., Hanasaki, N., Harding, R., Heinke, J., Kabat, P., Koirala, S., Oki, T., Polcher, J., Stacke, T., Viterbo, P., Weedon, G. P. and Yeh, P. (2011). Multimodel estimate of the global terrestrial water balance: setup and first results. Journal of Hydrometeorology, 12, 869-884.
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[12] IPCC. (2014). Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, Pachauri, R. K. and Meyer, L. A. (eds.)]. IPCC, Geneva, Switzerland. 151 pp.
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[13] Kauffeldt, A., Wetterhall, F., Pappenberger, F., Salamon, P. and Thielen, J. (2016). Technical review of large-scale hydrological models for implementation in operational flood forecasting schemes on continental level. Environmental Modelling and Software, 75, 68–76.
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[14] Marko, K., Elfeki, A., Alamri, N. and Chaabani, A. (2018). Two Dimensional Flood Inundation Modelling in Urban Areas Using WMS, HEC-RAS and GIS (Case Study in Jeddah City, Saudi Arabia. 1st Springer Conference of the Arabian Journal of Geosciences (CAJG-1), 12-15 November, Sousse, Tunisia 2018, pp. 265–267.
14
[15] Mattar, M. A. and Alamoud, A. I. (2017). Gene expression programming approach for modeling the hydraulic performance of labyrinth-channel emitters. Computers and Electronics in Agriculture, 142, 450-460.
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[16] Moradkhani, H., Sorooshian, S., Gupta, H. V. and Houser, P. (2005). Dual state-parameter estimation of hydrological models using ensemble Kalman filter. Advances in Water Resources, 2 (28), 135–147.
16
[17] Mousavi, S. J., Abbaspour, K. C., Kamali, B., Amini, M. and Yang, H. (2012). Uncertainty-based automatic calibration of HEC-HMS model using sequential uncertainty fitting approach. Journal of Hydroinformatics, 14(2), 286–309.
17
[18] Niyazi, B. A., Masoud, M. H., Ahmed, M., Basahi, J. M. and Rashed, M. A. (2020). Runoff assessment and modeling in arid regions by integration of watershed and hydrologic models with GIS techniques. Journal of African Earth Sciences, 172, 103966.
18
[19] Nouri, F., Behmanesh, j., Mohammad Nejad, B.A. and Rezaei, H. (2012). Evaluation of WMS/HEC-HMS Model in Forecasting of Ghorve Watershed. Journal of Water and Soil Conservation, 4(19), 201-210.
19
[20] Pani, E.A. and Haragan, D. R. (1981). A comparison of Texas and Illinois Temporal Rainfall Distributions. 4th Conference on Hydrometeorology, American Meteorology Society, Boston, USA, pp. 76-80.
20
[21] Parisuj, P., Goharnejad, H. and Moazami, S. (2018). Rainfall-Runoff Hydrologic Simulation Using Adjusted Satellite Rainfall Algorithms, a Case Study: Voshmgir Dam Basin. Golestan, Iran. Water Resources Research, 3(14), 174-188.
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[22] Rafiei Emam, A., Mishra, B., Kumar, P., Masago, Y. and Fukushi, K. (2016). Impact Assessment of Climate and Land-Use Changes on Flooding Behavior in the Upper Ciliwung River, Jakarta,
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[23] Srinivas, R., Singh, A. P. and Deshmukh, A. (2018). Development of a HEC-HMS-based watershed modeling system for identification, allocation, and optimization of reservoirs in a river basin, Environmental Monitoring and Assessment. 190(31), https://doi.org/10.1007/s10661-017-6418-0
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[24] Tolson, B.A. and Shoemaker, C. A. (2008). Efficient prediction uncertainty approximation in the calibration of environmental simulation models. Water Resources Research, 44, W04411, doi: 10.1029/2007WR005869.
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[25] Youssef, A. M. A., Ibrahem, S. M. M., El Sayed, A. N. and Masoud, M. H. Z. (2020). Assessment and management of water resources in Wadi El-Deeb using geophysical, hydrological and GIS Techniques-Red Sea. Journal of African Earth Sciences, 164, 103777.
25
[26] Zhang, H. L., Wang, Y. J., Wang, Y. Q., Li, D. X. and Wang, X. K. (2013). The effect of watershed scale on HEC-HMS calibrated parameters: a case study in the Clear Creek watershed in Iowa, US. Hydrology and Earth System Sciences, 17, 2735–2745.
26
ORIGINAL_ARTICLE
Predicting and detecting the trend of temporal and spatial changes of land use using land change modeler
The purpose of this study is to investigate land use changes in the past and predict future land use using land change modeler in Halil River watershed. The detection of land use changes was performed using Landsat satellite images (L5-TM-1991, L7- ETM+-2003 and L8-OLI-2020). Transition potential modeling was done using MLP neural network method and eight variables including altitude, slope, aspect, distance to road, distance to river, distance to agricultural lands, distance to urban and Normalized Difference Vegetation Index (NDVI). Finally, the Markov chain was used to predict future land use changes. Investigating the calibration periods using kappa statistics showed that the period of 1991-2020 had the highest accuracy to predict land use for 2041. The results of land use changes indicated that during the calibration period, among the six categories namely rangeland, agricultural land, residential land, barren land, rock and orchard, the highest increase and the highest decrease in area was related to agricultural lands and rangelands by 293.7 and 382.6 km2, respectively. Also, the area of barren lands, orchard and residential lands has increased and rocky lands have remained unchanged. The degradation of rangelands has been more in line with the conversion of these lands into agricultural, orchard and residential lands. Also, the prediction of future land use map (2041) using land change modeler showed that , the area of rangelands will decrease by 201.1 km2 and the area of agricultural lands, residential lands, orchards and barren lands will increase by 158.01, 22.38, 20.2 and 0.53 km2, respectively.
https://jrwm.ut.ac.ir/article_85215_d9eb0bda81b4bdb5132f6857e72158f9.pdf
2021-11-22
483
500
10.22059/jrwm.2021.327646.1601
modeling
neural network
Markov Chain
Halil River
Ali
Azareh
aliazareh@gmail.com
1
Department of Geography, University of Jiroft, Kerman, Iran.
LEAD_AUTHOR
Elham
Rafiei Sardooi
ellrafiei@ujiroft.ac.ir
2
Department of ecological engineering, Faculty of Natural Resources, University of Jiroft, Kerman, Iran.
AUTHOR
Afifi, M. E. (2020). Modeling land use changes using Markov chain model and LCM model. Journal of Applied researches in Geographical Sciences, 20(56),141-158.
1
Ahmadlou, M. and Delavar, M. R. (2015). Multiple Land Use Change Modeling Using Multivariate Adaptive Regression Spline and Geospatial Information System. Journal of Geomatics Science and Technology, 5(2), 131-146.
2
Akbari, E., Zangane Asadi, M. A. and Taghavi, B. (2016). Change detection land use and land cover regional Neyshabour using Different methods of statistical training theory Document Type: Research Paper. Geographical Planning of Space Quarterly Journal, 6(20), 35-50.
3
Anand, J., Gosain, A. K. and Khosa, R. (2018). Prediction of land use changes based on Land Change Modeler and attribution of changes in the water balance of Ganga basin to land use change using the SWAT model. Science of the Total Environment, 644, 503-519.
4
Azimi Sardari, M. R., Bazrafshan, O., Panagopoulos, T. and Sardooi, E. R. (2019). Modeling the impact of climate change and land use change scenarios on soil erosion at the Minab Dam Watershed. Sustainability, 11(12), 3353.
5
Azizi Ghalati, S., Rangzan, K., Taghizadeh, A., Ahmadi, Sh. (2014). LCM Logistic regression modelling of land-use changes in Kouhmare Sorkhi, Fars Province. Iranian Journal of Forest and Poplar Research, 22(4), 585-596.
6
Eastman, J. R. (2006). IDRISI Andes guide to GIS and image processing. Clark University, Worcester, 328.
7
Eastman, J. R. (2016). IDRISI Terrset Manual. Clark Labs, Clark University, Worcester, MA, , Provided as a PDF with the IDRISI Terrset software package.
8
Eastman, J. R., Van Fossen, M. E. and Solarzano, L. A. (2012). Transition potential modeling for land cover change. In: Maguire, D., Good Child, M., Batty, M. (Eds.), GIS, Spatial Analysis and Modeling. ESRI Press, Redlands, California.
9
Ferchichi, A., Boulila, W. and Farah, I. R. (2018). Reducing uncertainties in land cover change models using sensitivity analysis. Knowledge and Information Systems, 55(3), 719-740.
10
Ghabaei Sough, M., Mosaedi, A., Hesam, M., Hezarjaribi, A. (2010). Evaluation Effect of Input Parameters Preprocessing in Artificial Neural Networks (Anns) by Using Stepwise Regression and Gamma Test Techniques for Fast Estimation of Daily Evapotranspiration. Journal of Water and Soil, 24(3), 610-624.
11
Gholamalifard, M., Joorabian Shooshtari, Sh., Hosseini Kahnuj, S. H., Mirzaei, M. (2013). Land Cover Change Modeling of Coastal Areas of Mazandaran Province Using LCM in a GIS Environment. Journal of environmental studies, 38 (4), 109-124
12
Gómez, C., White, J. C. and Wulder, M. A. (2011). Characterizing the state and processes of change in a dynamic forest environment using hierarchical spatio-temporal segmentation. Science of the total environment. 115(7), 1665–1679
13
Gontier, M., Mörtberg, U. and Balfors, B. (2009). Comparing GIS-based habitat models for applications in EIA and SEA. Environmental Impact Assessment Review, 30(1), 8-18.
14
Gross, J. E., Nemani, R. R., Turner, W. and Melton, F. (2006). Remote sensing for the national parks. Park Science, 24(1), 30-36.
15
Gupta, R. and Sharma, L. K. (2020). Efficacy of Spatial Land Change Modeler as a forecasting indicator for anthropogenic change dynamics over five decades: A case study of Shoolpaneshwar Wildlife Sanctuary, Gujarat, India. Ecological Indicators, 112, 106171.
16
Hathout, S. (2002). The use of GIS for monitoring and predicting urban growth in East and West St Paul, Winnipeg, Manitoba, Canada. Journal of Environmental Management, (66), 229-238.
17
Hayatzadeh, M., Ekhtesasi, M., Malekinezhad. H., Fathzadeh, A. and Azimzadeh, H. (2016). Simulation of Future Land Use Map of the Catchment Area, with the Integration of Cellular Automata and Markov Chain Models Based on Selection of the Best Classification Algorithm (A Case Study of Fakhrabad Basin of Mehriz, Yazd). Environmental Erosion Research, 6(4), 1-22.
18
Ildermi, A., Nouri, H., Naderi, M., Aghabeigi, S., Zaini Wand, H. (2017). Forecasting Land Use Change Using Markov Chain Model and CA Markov (Case Study: Green Watershed). Watershed Management Research, 8 (16), 232-240.
19
Leta, M. K., Demissie, T. A. and Tränckner, J. (2021). Modeling and Prediction of Land Use Land Cover Change Dynamics Based on Land Change Modeler (LCM) in Nashe Watershed, Upper Blue Nile Basin, Ethiopia. Sustainability, 13(7), 3740.
20
Linkie, M., Smith, R.J. and Leader-Williams, N. (2004). Mapping and predicting deforestation patterns in the lowlands of Sumatra. Biodiversity and Conservation, 13 (10), 1809-1818.
21
Lu, D., Mausel, P., Brondizio, E. and Moran, E. (2004). Change detection techniques. International Journal of Remote Sensing, 25(12), 2365-2401.
22
Mas, J. F., Kolb, M., Paegelow, M., Olmedo, M. T. C. and Houet, T. (2014). Inductive pattern-based land use/cover change models: A comparison of four software packages. Environmental Modelling & Software, 51, 94-111.
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26
Mohammad Yousefi, M., Pajoohesh, M. and Honarbakhsh, A. (2020). Modeling Trends Land Use Changes Local by Using LCM Model Based on Artificial Neural Networks and Markov Chain Analysis (Case Study: BeheshtAbad Watershed). Journal of Watershed Management Research, 11(21), 129-142.
27
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28
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29
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30
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31
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Salehi Sedeh, R., Sharifi, M. (2006). Application of neural networks in predicting river flow in Kardeh Paired Watershed. The 2nd Conference on Water Resources Management. Ferdowsi University of Mashhad, Mashhad, pp. 1-9.
33
Singh, A. (1989). Digital change detection techniques using remotely-sensed data. International Journal of Remote Sensing, 10, 989-1003.
34
Singh, N. and Punia, M. (2018). Geospatial Approach for Land Use/Land Cover Change Prediction: A case study of Bhagirathi Basin, Uttarakhand, INDIA. cosp, 42, A3-1.
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Sundara Kumar, K., Udaya Bhaskar, P. and Padmakumari, K. (2015). Application of land change modeler for prediction of future land use land cover (a case study: of Vijayawada city). International Conference on Science, Technology and Management, 2571-2581
36
Tso, B. and Mather, P. (2009). M. Classification Methods for Remotely Sensed Data, Chapter 2-3.
37
Václavík, T. and Rogan, J. (2009). Identifying trends in land use/land cover changes in the context of post-socialist transformation in central Europe. GIS Science and Remote Sensing, 49(1), 1-32.
38
Vafaei, S., Darvishsefat, A. A. and Pir Bavaghar, M. (2013). Monitoring and predicting land use changes using LCM module (Case study: Marivan region). Iranian Journal of Forest, 5(3), 323-336.
39
Wu, Q., Li, H. Q., Wang, R. S., Paulussen, J., He, Y., Wang, M., ... & Wang, Z. (2006). Monitoring and predicting land use change in Beijing using remote sensing and GIS. Landscape and urban planning, 78(4), 322-333.
40
ORIGINAL_ARTICLE
Quantitative assessment and validation of the TM land surface temperature using synoptic weather stations
Land surface temperature (LST) is an essential parameter in ecological, hydrologic, climatic, and related studies. The objective of this study was to evaluate the performance of Artis and Sobrino algorithms for retrieving LST from 2009 Landsat TM thermal infrared band in Damaneh region of Isfahan province. The accuracy of LST extracted from geometrically corrected image was then assessed against field-based LST data recorded at 10 meteorological stations using linear regression analysis. The results showed that both algorithms were able to map LST spatial distribution in the region and they were significantly correlated (R>0.97), but the Artis algorithm performed slightly better than Sobrino one. This algorithm explained up to 72% of the variation in the field measurements of LST. According to this algorithm, bare lands and highly vegetated agricultural and rangeland areas had the highest (328k0) and lowest LST (291k0) in the region, respectively. As the results indicated here the decrease in vegetation cover corresponds with increase in temperature values, therefore, remotely-sensed LST information with their extensive coverage can have a key role in ecosystem management.
https://jrwm.ut.ac.ir/article_85218_23bafd32a54372109681324b99fd3335.pdf
2021-11-22
501
511
10.22059/jrwm.2021.100253.706
LST
Satellite data
Climatic data
linear regression analysis
Nahid
Moshtagh
n_moshtagh1984@yahoo.com
1
Department of Natural Resources, Isfahan University of Technology
AUTHOR
Reza
Jafari
reza.jafari@cc.iut.ac.ir
2
Associate professor, Department of Natural Resources, Isfahan University of Technology
LEAD_AUTHOR
Saied
Soltani
ssoltani@cc.iut.ac.ir
3
Department of Natural Resources, Isfahan University of Technology
AUTHOR
Nafiseh
Ramezani
nafiseh.ramezani@yahoo.com
4
Department of Natural Resources, Isfahan University of Technology
AUTHOR
[1] Amiri, R., Weng, Q., Alimohammadi, A. and Alavipanah, S. K., (2009). Spatial–temporal dynamics of land surface temperature in relation to fractional vegetation cover and land use/cover in the Tabriz urban area, Iran. Remote Sensing of Environment, 113 (12), 2606-2617.
1
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2
[3] Becker, F., (1987). The impact of spectral emissivity on the measurement of land surface temperature from a satellite. International Journal of Remote Sensing, 8 (10), 1509-1522.
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[4] Becker, F. and Li, Z. L., (1995). Surface temperature and emissivity at various scales: Definition, measurement and related problems. Remote Sensing Reviews, 12 (3-4), 225-253.
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[5] Benmecheta, A., Abdellaoui, A. and Hamou, A., (2013). A comparative study of land surface temperature retrieval methods from remote sensing data. Canadian Journal of Remote Sensing, 39 (01), 59-73.
5
[6] Carnahan, W. H. and Larson, R. C., (1990). An analysis of an urban heat sink. Remote Sensing of Environment, 33 (1), 65-71.
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[7] Caselles, V., Coll, C., Valor, E. and Rubio, E., (1995). Mapping land surface emissivity using AVHRR data application to La Mancha, Spain. Remote Sensing Reviews, 12 (3-4), 311-333.
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[8] Dai, X., Guo, Z., Zhang, L. and Li, D., (2010). Spatio-temporal exploratory analysis of urban surface temperature field in Shanghai, China. Stochastic Environmental Research and Risk Assessment, 24 (2), 247-257.
8
[9] Dashtekian, K. and M. A. Dehghani, (2008). Land surface temperature analysis of desert area in relation with vegetation and urban development using RS and GIS, case study: Yazd-Ashkezar area. Pajouhesh & Sazandegi, 77, 169-179.
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[10] Gallo, K. P. and Tarpley, J. D., (1996). The comparison of vegetation index and surface temperature composites for urban heat-island analysis. International Journal of Remote Sensing, 17 (15), 3071-3076.
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[11] Gangopadhyay, P. K., Van der Meer, F., Van Dijk, P. M. and Saha, K., (2012). Use of satellite-derived emissivity to detect coalfire-related surface temperature anomalies in Jharia coalfield, India. International Journal of Remote Sensing, 33 (21), 6942-6955.
11
[12] Hong, S.h., Hendrickx, J. M. H. and Borchers, B., (2009). Up-scaling of SEBAL derived evapotranspiration maps from Landsat (30m) to MODIS (250m) scale. Journal of Hydrology, 370 (1–4), 122-138.
12
[13] Jensen, J. R., (1996). Introductory Digital Image Processing, A Remote Sensing Perspective, 2nd Edition, Upper Saddle River, New Jersey: Prentice Hall Press.
13
[14] Kant, Y. and Badarinath, K. V. S., (2002). Ground-based method for measuring thermal infrared effective emissivities: Implications and perspectives on the measurement of land surface temperature from satellite data. International Journal of Remote Sensing, 23 (11), 2179-2191.
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[15] Kite, G. and Droogers, P., (2000). Comparing Estimates of Actual Evapotranspiration From Satellites, Hydrological Models, and Field Data: A Case Study from Western Turkey.
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[16] Lillesand, T., Kiefer, R. W. and Chipman, J., (2004). Remote Sensing and Image Interpretation, 6 Edition, Wiley; 6 Press.
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[17] Mallick, J., Singh, C. K., Shashtri, S., Rahman, A. and Mukherjee, S., (2012). Land surface emissivity retrieval based on moisture index from LANDSAT TM satellite data over heterogeneous surfaces of Delhi city. International Journal of Applied Earth Observation and Geoinformation, 19, 348-358.
17
[18] Qin, Z., Karnieli, A. and Berliner, P., (2001). A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region. International Journal of Remote Sensing, 22 (18), 3719-3746.
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[19] Sobrino, J. A., El Kharraz, J. and Li, Z. L., (2003). Surface temperature and water vapour retrieval from MODIS data. International Journal of Remote Sensing, 24 (24), 5161-5182.
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[20] Sobrino, J. A., Jiménez-Muñoz, J. C. and Paolini, L., (2004). Land surface temperature retrieval from LANDSAT TM 5. Remote Sensing of Environment, 90 (4), 434-440.
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[21] Srivastava, P. K., Majumdar, T. J. and Bhattacharya, A., (2010). Study of land surface temperature and spectral emissivity using multi-sensor satellite data. Journal of Earth System Science, 119 (1), 67-74.
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[22] Srivastava, P. K., Majumdar, T. J. and Bhattacharya, A. K., (2009). Surface temperature estimation in Singhbhum Shear Zone of India using Landsat-7 ETM+ thermal infrared data. Advances in Space Research, 43 (10), 1563-1574.
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[23] Sun, Q., Tan, J. and Xu, Y., (2010). An ERDAS image processing method for retrieving LST and describing urban heat evolution: a case study in the Pearl River Delta Region in South China. Environmental Earth Sciences, 59 (5), 1047-1055.
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[24] Van de Griend, A. A., and Owe, M, (1993). On the relationship between thermal emissivity and the normalized difference vegetation index for natural surface. International Journal of Remote Sensing, 14 (6), 119-131.
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[25] Wan, Z., Wang, P. and Li, X., (2004). Using MODIS Land Surface Temperature and Normalized Difference Vegetation Index products for monitoring drought in the southern Great Plains, USA. International Journal of Remote Sensing, 25 (1), 61-72.
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[26] Wan, Z., Zhang, Y., Zhang, Q. and Li, Z. L., (2004). Quality assessment and validation of the MODIS global land surface temperature. International Journal of Remote Sensing, 25 (1), 261-274.
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[27] Weng, Q., Lu, D. and Schubring, J., (2004). Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies. Remote Sensing of Environment, 89 (4), 467-483.
27
[28] Zhangyan, J., Yunhao, C. and Jing, L., (2006). On urban heat island of Beijing based on landsat TM data. Geo-spatial Information Science, 9 (4), 293-297.
28
ORIGINAL_ARTICLE
Investigating the challenges and obstacles of rangeland ecotourism from the perspective of experts and stakeholders
(Case study of rural rangelands in Isfahan province)
The purpose of this article is to investigate the obstacles and challenges of rangeland ecotourism from the perspective of experts and stakeholders using the Delphi method and confirmatory factor analysis.The present research is applied research in terms of purpose and descriptive-analytical research in nature and has a quantitative qualitative approach. The statistical population of the study consists of two groups. The first group included experts and the second group included stakeholders. The sample size for the first group was selected using snowball or chain sampling of 28 people and the second group is based on the statistics of about 1000 people in rural areas of Isfahan province, which was determined based on Cochran's formula of 276 people.Data analysis was performed using SPSS software version 23. In order to identify the existing challenges of rangeland ecotourism in rural communities of Isfahan province, Delphi technique was used. The results in the qualitative part of the research indicated that the most important challenges facing rangeland ecotourism are structural and managerial factors, policy-making, financial and economic factors, individual-personality, research and information. In the quantitative part, using confirmatory factor analysis, there are 5 factors, which are: financial and economic factors, managerial and structural factors, weakness of laws and comprehensive policy, research and information, and individual and personality factors, respectively, which is 78.73. Explains the percentage of total variance.
https://jrwm.ut.ac.ir/article_85219_e60c8d6f7a53ecb4b03a25187e8b2045.pdf
2021-11-22
513
527
10.22059/jrwm.2021.315302.1555
Range Ecotourism
Challenges and Barriers
Rural Areas
Isfahan province
Ahmad
Hajarian
a.hajarian@ltr.ui.ac.ir
1
department rural planning faculty geography university Isfahan Iran
LEAD_AUTHOR
[1] Aliani, H., Kafaky, SB., Saffari, A. and Monavari, SM. (2016). Determining an appropriate method for the purpose of land allocation for ecotourism development (case study: Taleghan County, Iran), Environ Monit Assess, 188(11), 651-672.
1
[2] Azarnivand, H., Nasri, M, and Najafi, A. (2006). Ecotourism and natural attractions in attract tourists in the desert”, Conference Academic- Regional desert architecture, Islamic azad University Ardestān, 17 P. (In Persian)
2
[3] Babaie-Kafaky, S., Mataji, A. and Ahmadi Sani, N. (2009). Ecological capability assessment for multiple-use in forest areas using GIS- based multiple criteria decision-making approach. American Journal of Environmental Sciences n.5.
3
[4] Beyranvand, I. (2008). Spatial analysis of natural tourism attractions of the city of Khorramabaddissertation Masters, Faculty of Geography, University of Isfahan. (In Persian)
4
[5] Bin, I., Soucheng, D., Mei, and Exue, M. (2008). Ecotourism Model and Benefits of Periphery Region in Western Sichuan Province”, Chinese Journal of Population”, Resource and Environment, 2(6), 14-18.
5
[6] Bunruamkaew, K, Murayama, Y, (2011). Site Suitability Evaluation for Ecotourism, Using GIS & AHP: A Case study of Surat Thani Province Thailand”, Journal of Management Tourism, 14(1), 38-53.
6
[7] Firuzi, M, Goudarzi, M, Zarei, R. and Abdulmotalb, A. (2013). Evaluation of ecological typical Tourism Region area Shahed abaspor with an emphasis on sustainable tourism development, Journal of Research Geographical Sciences Applied, 13 (28), 153- 176. (In Persian)
7
[8] Hetzer, N. (1965). Environment, tourism. culture. renamed Ecosphere.
8
[9] Jafari, Z., Michael Tabrizi, A, Mohammad Zadeh, A. and Abdi omed, M. (2011). Evaluation the ecotourism Golestan National Park using multi-criteria analysis and GIS”, Renewable Natural Resources Research, 2(4), 25-37. [In Persian]
9
[10] Jozi, S. and Moradi, N. (2011). Boulhasan region of Dezfool ecological potential assessment to establish tourism using SMITH method, Environment and Development Journal, 2(3): 71-14.
10
[11] Karimzadeh, Z. (2014). Ecological capability assessment the central part of Birjand based on weighted linear combination of geographic information systems”, Ahmed Zadeh, Seyyed Saeed Reza, Thesis Masters, University of Natural Resources Birjand. (In Persian)
11
[12] Laurance, W, Alonso, M. and Campbell, M. (2005). Challenge for forest conservation in Gabon, Central Africa. Futures, 38(1), 454- 474.
12
[13] Rayfield, J., and Croom, B. (2010). Program needs of middle school agricultural education teachers: A Delphi Study, Journal of Agricultural Education, 51(4), 131–141.
13
[14] Roberts, N. (2004). Public deliberation in an age of direct citizen participation. American Review of Public Administration, 34, 315-353.
14
[15] Salman maheki, A. (2002). Evaluation of ecotourism in the city Bhshahr with multi-criteria analysis in GIS”, Journal Sciences Technology Environment, 1(1), 187-198. (In Persian)
15
[16] Tambunan, T. (2008). Trade liberalization effects on the development of small and medium-sized enterprises in Indonesia: A case study". Asia Pacific Development Journal، 15(2), 35-43.
16
[17] Thampi, santosh, p. (2005). Ecotourism in Keral India: Lesson from Eco Development Project in Periyar Tiger Reserve, No 13.
17
[18] Vosoghi, A. (2005). Practical feasibility of ecotourism projects in protected areas in Khuzestan province first phase: dose and Karkheh protected area. Environmental Protection Agency, p: 24.
18
[19] Buckley, R. (2012). Sustainable tourism: Research and reality. Annals of Tourism Research, 39(2): 528-546.
19
ORIGINAL_ARTICLE
Medicinal plants with therapeutic uses in indigenous communities located in the foothills of Sabalan (Case study: Meshginshahr city, Ardabil province)
In recent decades, the scientific community of the world has paid particular attention to the local and indigenous knowledge of medicinal plants and ethnobotany science. The purpose of this study was to introduce the culture of traditional use of medicinal herbs in Meshginshahr city for treatment of diseases. For this purpose, local names, medicinal properties, method of use and other information of medicinal species were collected at the same time. In this study information of 25 families and 55 medicinal species was recorded from the region. The Lamiaceae, Asteraceae and Fabaceae families had the highest number of plant species, respectively. The most used medicinal plants in this region were applied for treatment of different ailments including, gastrointestinal, infectious and anti-inflammatory and pain. Most herbal species were used to treat gastrointestinal diseases, which 64% of informant people reported this. Maximum number of plant species was used for treatment of gastrointestinal diseases (50%), which 64% of informants noted this subject. In the otrher hand, the least used plants species were related to fungal and parasitic diseases (8%). The most used medicinal organs were leaf, flowering shoot and flower, respectively, which most of them were used as either boiled or bloated. Various medicinal species in Meshkinshahr and the growing interest among people to use medicinal herbs, gives the promise to take an important step in order to resistive economy by developing employment projects based on the cultivation and processing of medicinal plants.
https://jrwm.ut.ac.ir/article_85221_6cec0b4a5414bd2f98df2777a9c50cc0.pdf
2021-11-22
529
542
10.22059/jrwm.2021.311829.1542
Ethnobotany
Native knowledge
medicinal properties
Rangeland medicinal plants
Meshkinshahr.
Mohsen
Sabzi nojedeh
m.sabzi@tabrizu.ac.ir
1
Assistant professor ;Ahar Faculty of Agriculture and Natural Resources, University of Tabriz, Ahar, Iran
LEAD_AUTHOR
mina
amani
mina76amani@yahoo.com
2
PhD student in Horticultural Science and Engineering, Physiology of Production and Post-Harvesting of Horticultural Plants, Faculty of Agriculture, University of Tabriz, Tabriz, Iran.
AUTHOR
Mehdi
Younessi Hamzekhanlu
myounessi@tabrizu.ac.ir
3
Assistant professor,‎‏ ‏Ahar Faculty of Agriculture and Natural Resources, University of Tabriz, ‎Ahar, Iran.‎
AUTHOR
Leila
badri‎
mina76amani@gmail.com
4
B.Sc Graduate of Medicinal Plants Production, Ahar Faculty of Agriculture and Natural ‎Resources, University of Tabriz, Ahar, Iran.
AUTHOR
Omid
Fathizadeh
omid.fathizadeh@tabrizu.ac.ir
5
Assistant professor,‎‏ ‏Ahar Faculty of Agriculture and Natural Resources, University of Tabriz, ‎Ahar, Iran.
AUTHOR
Esmaeil
Sheidai Karkaj
esmaeil_sheidayi@yahoo.com
6
Assistant professor, Department of Range and Watershed Management, Faculty of Natural Resources, Urmia University, Urmia, Iran
AUTHOR
Abdolshahi, A., Naybandi-Atashi, S., Heydari-Majd, M., Salehi, B., Kobarfard, F., Ayatollahi, A. and Iriti, M. (2018). Antibacterial activity of some Lamiaceae species against Staphylococcus aureus in yoghurt-based drink (Doogh). Cellular and Molecular Biology, 64 (8), 71-77.
1
Ali Mirzaei, F., Bahman, B., Mohammadi Ostadklayeh, A. and Shahraki, M. (2018). Native knowledge of medicinal plants from the perspective of nomadic farmers in forty-four rangelands of Khorasan Razavi province, Iranian Journal of Indigenous Sciences, 4(7), 157-201. (In Persian).
2
Assadi, M., Masoumi, A., Khatam Saz, M. and Mozaffarian, V. (1987-2017). Flora of Iran. Research Institute of Forests and Rangelands. Iran, Vol: 1-79. (In Persian).
3
Dolatkhahi, M., Ghorbani Nahoji, M., Mehrafarin, A. Amininejad, Gh. and Dolatkhahi, A. (2012). Study about ethnobotany of medicinal plants in Kazeroun: Identification, distribution and traditional costs. Journal of Medicinal Plants, 42, 163-178. (In Persian).
4
Farhadi, M. (2014). Ethnography of Traditional Sciences and Technologies: The Name of the Night of Iranian Ethnographers. Indigenous Sciences of Iran, 2. (In Persian).
5
Farhadi, M. (2017). Variety of multi-vessel and inter-vessel cultivation (interlocking). Indigenous knowledge of Iran. Issue 8. (In Persian).
6
Ghahreman, A. (1983-2003). Color flora of Iran. Research Institute of Forests and Rangelands, Tehran, Iran, Vol: 1-26 (In Persian).
7
Hafez Nia, M. (2006). Introduction to research methodology in humanities. Twelfth edition. Side Publications. 420 pages. (In Persian).
8
Heinrich, M., Ankli, A., Frei, B., Weimann, C. and Sticher, O. (1998). Medicinal plants in Mexico: Helers consensus and cultural importance. Social science & medicine, 47(11), 1859-
9
Iran Manesh, M., Najafi, Sh. and Yousefi, M. (2010). Ethnobotany of Sistan region. Journal of Herbal Medicine. 1 (2), 61 68. (In Persian).
10
Khodayari, H., Amani, S. H. and Amiri. H. (2014). Ethnobotany of Medicinal Plants Northeast of Khuzestan Province. Journal of Ecofito Chemistry of Medicinal Plants, 4(8): 12-26. (In Persian).
11
Mobin, S. (1975-1994). Flora of Iran (Vascular plants). Tehran university publishing, Tehran, Iran. Vol: 1-4. (In Persian).
12
Mosaddegh, M., Naghibi, F., Moazzeni, H., Pirani A. and Esmaeili, S. (2012). Ethnobotanical survey of herbal remedies traditionally used in Kohghiluyeh va Boyer Ahmad province of Journal of Ethnopharmacology, 111(1), 11-12. (In Persian).
13
Purkarim Anari, M. (2012). City of Sustainable Antiquities (Meshkinshahr) First Edition. Shafiq Publications. 174 pages. (In Persian).
14
Ramezanian, M. and MinaeiFar, A.A. (2016). Ethnobotanical study of medicinal plants in Fasa county. Journal of Islamic and Iranian Traditional Medicine, 7(2), 221-231. (In Persian).
15
Rechinger, KH. (1963-2012). Flora Iranica. Akademische Druck University Verlagsanstalt. Graz, Austria. Vol: 1-176.
16
Saadatpour, M., Barani, h., Abedi Sarvestani, A. and Forouzeh, M. (2017). Ethnobotanical Study of Medicinal Plants of Sajasrood (Zanjan Province), Journal of herbal medicines, 3 (3), 185-193. (In Persian).
17
Sajjadi, S., Batooli, H. and Ghanbari, A. (2011). Collection, evaluation and ethnobotany of Kashan medicinal plants. Journal of Islamic and Iranian Traditional Medicine, 2(1), 29-36. (In Persian).
18
Salarzadeh Amiri, N. (2019). Content analysis in social sciences and humanities. Seventh edition. Allameh Tabatabai University Press. 290 pages. (In Persian).
19
Sharififfer, F., Moharramani, M., Moattar, F., Babacanlu, P. and Khodami, M. (2013). Ethnobotanical Study of Some Medicinal Plants of Jupar Mountain Area of Kerman Province. Journal of Kerman University of Medical Sciences, 21(1), 37-51. (In Persian).
20
Silva, N. C. C. and Fernandes Júnior, A. (2010). Biological properties of medicinal plants: a review of their antimicrobial activity. Journal of venomous animals and toxins including tropical diseases, 16(3), 402-413.
21
Surmaghi, M. S., Amin, Y. A. G. and Mahmoodi, Z. (1992). Survey of Iranian plants for saponins alkaloids flavonoids and tannins. IV. DARU journal of pharmaceutical sciences, 2 (2-3), 1-11.
22
Taghipour, Sh., Hasanzade, M. and Hosseini Serghin, S. (2011). Identified of flora, life form and geographical distribution of plants in the Alaa and Rudzard region (Khuzestan province). Taxonomy and biosystematics journal, 9 (2), 15-30. (In Persian).
23
Ullah, M., Khan, M. U., Mahmood, A., Malik, R. N., Hussain, M., Wazir, S. M. and Shinwari, K. (2013). An ethnobotanical survey of indigenous medicinal plants in Wana district South Waziristan agency, Pakistan. Journal of Ethnopharmacology, 150 (3), 918-924.
24
Younessi-Hamzekhanlu, M., Ozturk, M., Altay, V., Nojadeh, M.S. and Alakbarli, F. (2020). Ethnopharmacological study of medicinal plants from Khoy city of West Azerbaijan-Iran. Indian Journal of Traditional Knowledge, 19 (2), 251-267.
25
Zolfaghari, B., Sadeghi, M., Tiri, A. and YousefaliTabar, M. (2013). Collect, identify and assess traditional uses of plants selection of babol city. Journal of Islamic and Iranian traditional medicine; 3(1), 113-123.
26
ORIGINAL_ARTICLE
Acidic Rainfall Effect on Erodibility of slope main Aspects in Gachsaran formation (A case study: Kuhe Gach Watershed Area in Izeh Township)
Acidic rainfall is one of the complications of industry life that a point of view geographically in recent years spread widely and the attention of many researchers has been found. These rains have significant effects on the different ecosystems of earth. In this study, in order to investigate the sensitivity of erosion and sediment yield of Gachsaran Formation to acidic rainfall and its density change, parts of the Kuhe Gach watershed area in Izeh Township are selected with the area of 1202 hectares. This investigation in order to determine productivity runoff and sediment in 8 points and with 3 replicates in Gachsaran formation in different intensities 1, 1/25 mm in min and in the intensities of distilled water and 4, 5 acidic water in four aspects of northern, southern, eastern, western with using kamphorst rain simulator was done. In order to analyze statistical was used SPSS and EXCEL packages. The highest of runoff and sediment rates in Gachsaran formation in 1, 1/25 mm in min are related to 4 acidic rainfalls. The rainfall of 5 acidic also runoff and sediment are more than the rain of distilled water. The infiltration rates in rainfall different intensities also showed a significant difference.
https://jrwm.ut.ac.ir/article_85235_bf72b6364ae212b1c35526cfeb426588.pdf
2021-11-22
543
556
10.22059/jrwm.2021.302177.1503
Key words: Soil erosion
Acidic rainfall
Gachsaran formation
Kamphorst rain simulator
hamzeh
saeediyan
hamzah.4900@yahoo.com
1
Research Assistant Professor, Department of Soil Conservation and Watershed Management Research, Kerman Agricultural and Natural Resource Research Center, Agricultural Research, Education and Extension Organization, Kerman, Iran.
LEAD_AUTHOR
Hamid Reza
Moradi
hrmoradi@modares.ac.ir
2
Associate professor, Department of watershed management engineering, college of natural resource, Tarbiat modares university, Noor, Iran,
AUTHOR
Sadat
Feiznia
sfeiz@ut.ac.ir
3
Professor, Department of watershed management engineering, college of natural resource, Tehran university, Iran, Sfeiz@ut.ac.ir
AUTHOR
nader
Bahramifar
nbahramifar@yahoo.com
4
Associate professor, college natural resource of Tarbiat modares university, Noor, Mazandaran, Iran
AUTHOR
Ahmadi, H. (2007). Applied Geomorphology, Vol 1 (Water Erosion), Fifth Edition, Tehran University Press, 714 pp. (In Persian)
1
Arnaez, J., Lasanta, T., Ruiz-Flano, P. and Ortigosa, L. (2007). Factors Affecting Runoff and Erosion under Simulated Rainfall in Mediterranean Vineyards. Soil and Tillage Research, 93, 324-334.
2
Botkin, D. B. and Keller, A. (2003). Environmental Science, 4th Ed. John Wiley and Sons, pp. 485-519.
3
Duiker, S.W., Flanagan, D.C. and Lal, R. (2001). Erodibility and Infiltration Characteristics of Five Major Soils of Southwest Spain. Catena, 45(2), 103-121.
4
Feiznia, S. and Zareh Khoshaghbal, M. (2003). Investigating the Sensitivity of Geological Formations to Erosion and Sediment Production in Latian Watershed. Iran Natural Resources Journal, 56 (4), 365-381. (In Persian)
5
Gupta, P. (2009). Laboratory Analysis Methods in Environmental Studies, Translation by Maryam Shapouri, Babak Ghaednaya, Maryam Mir Sahsan, Arash Haghshenas and Fereidoun Ofi, Islamic Azad University of SAvadkou Branch, 496 pp.
6
Hang, J. J., Lin, C. P. and Wang, Y. M. (2013). Determination of soil erodibility index for Taiwan mountainous area. Research Journal of Applied Sciences, Engineering and Technology, Department of Civil Engineering, National Pingtung University of Sciences and of Science and Technology, 5(17), 4343-4348.
7
Haregewegn, N., Poesen, J., Nyssen, J., Verstraeten, G., Vente, J., Govers, G., Deckers, S. and Igwe, C.A. (2003). Erodibility of Soils of the Upper Rainforest Zone, Southeastern Nigeria. Land Degradation and Development, 14, 323-334.
8
Jordan, A. and Martinez-Zavala, L. (2008). Soil Loss and Runoff Rates on Unpaved Forest Roads in Southern Spain after Simulated Rainfall. Journal of Forest Ecology and Management, 255, 913-919.
9
Kamphorst, A. (1987). A Small Rainfall Simulator for the Determination of Soil Erodibility. Netherlands journal of agricultural science, 35, 407-415.
10
Kanazu, T., Matsumura, T., Nishiuchi, T. and Yamamoto, T. (2001). Effect of simulated acid rain on deterioration of concrete. Water, Air and Soil Pollution, 130, 1481-1486.
11
Kinnell, P.I.A. (2005). Sediment Transport by Medium to Large Drops Impacting Flows at Subterminal Velocity. Journal of Soil Science Society of America, 69 (3), 902-905.
12
Manahan, A. (1992). Environmental Chemistry, Translated by Jafar Nowroozi and Saeed Ferdowsi, Scientific Publication of Islamic Azad University, 727 pp.
13
Manahan, S. E. (2005). Environmental Chemistry, CRC Press, 763 pp.
14
Manyiwa, T. and Dikinya, O. (2013). Using universal soil loss equation and soil erodibility factor to assess soil erosion in Tshesebe villag, Northeast Botswana. African Journal of Agricultural Research, 30, 4170 - 4178.
15
McFee, W.W. (1980). Sensitivity of Soil Regions to Long-term Acid Precipitation, In: Shriner, D.S., CR. Richmond and S.E. Lindberg eds. Atmospheric Sulfur Deposition, Ann Arbor Science, Michigan, pp. 495-506.
16
Morady, H. R. and Saidian, H. (2010). Comparing the Most Important Factors in the Erosion and Sediment Production in Different Land U Journal of Environmental Science and Engineering, No 4, 11: 1-11.
17
Norton, D., Shainberg, I., Cihacek, L. and Edwards, J.H. (1999). Erosion and Soil Chemical Properties. Soil Water Conservation Society, pp. 39-56.
18
Pell, E. J., Arny C. I and. Pearson, N. S. (1987). Impact of Simulated Acid Precipitation on Quantity and Quality of a field grown potato crop, Environ. Exp, Bot. v. 27, 6-14.
19
Persyn, R.A., Glanville, T.D., Richard, T.L., Laflen, J.M. and Dixon, P.M. (2004). Environmental Effects of Applying Composted Organics to New Highway Embankments: Part 1, Interrill Runoff and Erosion, Transactions of the ASAE, 47(2), 463-469.
20
Pimentel, D. and Kounang, N. (1998). Ecology of Soil Erosion in Ecosystems of Disturbed Ground. 1, 416-426.
21
Raisian, R. (2005). Investigation of the Amount of Erosion and Sediment in the Gregak Area Using Rain Simulation. Soil and Watershed Management Institute, Applied Design, 156 pp.
22
Richson, R. J. (1995). Experiment Techniques for Erosion Studies: Rainfall Simulation, Institute of Water and Environment, Cranfield University, UK, 49 pp.
23
Rienks, S.M., Botha, G.A. and Hughes, J.C. (1999). Some Physical and Chemical Properties of Sediments Exposed in a Gully (Donga) in Northern KwaZulu-Natal, South Africa and Their Relationship to the Erodibility of the Colluvial Layers. Catena, 39, 11-31.
24
Roose, E. (1996). Land Husbandry-Components and Strategy, FAO Soils Bulletin No. 70, Food and Agricultural of the United Nations, Rome.
25
Saeediyan, H., Moradi, H, R., Feiznia, S. and Bahramifar, N. (2014). The role of main slope aspects on Some Soil Physical and Chemical Properties (Case Study: Gachsaran and Aghajari Formations of Kuhe Gach and Margha watersheds of izeh township). Journal of Watershed Management, Volume 5, No. 9, spring and summer. (In Persian)
26
Scott Munro, D. and Hung L.J. (1997). Rainfall, Evaporation and Runoff Responses to Hillslope Aspect in the Shenchong Basin. Catena, 29, 131-144.
27
Shabani, F., Kumar, L. and Esmaeili, A. (2014). Improvement to the prediction of the USLE K factor. Geomorphology, 204, 229 - 234.
28
SheklAbadi, M., Khademi. H. and Charkhabi. A. (2003). Runoff Production in Soils with Different Materiel in Golabad Abad Ardestan Watershed. Science and Technology of Agriculture and Natural Resources, 7 (2), 85-101.
29
Smith, W.H. (1981). Air Pollution and Forests, Interaction between Contaminants and Forest Ecosystems, Springer Verlag, 379 pp.
30
Tomlinson, G. H. (2003). Acidic deposition, nutrient leaching and forest growth. Biogeochemistry, v. 65, 51-81.
31
Wiklander, L. (1973). The Acidifcation of Soil by Aacid Precipitation. Grundforbattring, V.25, 155-164.
32
Wiklander, L. (1980). Interaction between Cations and Anions Infuencing Adsorption and leaching, In: Hutchinson, T.C. and Havas, M. (eds.) Effect of Acid Precipitation on Terrestrial ecosystems, Plenum Press, New York, pp. 239-254.
33
Wilcox B. P. and Wood M. K. (1986). A Hand Portable Single Nozzle Rainfall Simulator Designed for Use on Steep Slopes. Journal of Range Management, 39 (4), 375-377.
34
ORIGINAL_ARTICLE
Investigating and analyzing the network of key organizational stakeholders in collaborative land use planning
Sustainable land management requires the identification of key land use planning actors. Social network analysis is one of the best ways to identify important factors in Management change. In this study, to analyze the stakeholders related to participatory Management in the watershed of Anzali Wetland, the criteria and policy indicators at the level of the network of organizational stakeholders were done using the method of social network analysis . In this regard, 36 organizational stakeholders related to participatory land use management in Gilan province were studied and analyzed. In this research indices of density, size, Reciprocity, Transitivity, Centralization and Geodesic Distance in the network of relationships at the macro level and Core-peripheral index in the middle scale and centrality indicators at the micro (actors) scale of the network were examined. Based on the results ofmacro-level indicators, the density is moderate and according to the results of the Reciprocity and the moderate amount of Mutual relations among organizational stakeholders, the cohesion and organizational capital are also assessed as moderate. The resilience and balance of the information exchange network are also low due to the low transitivity index. The results of the core-periphery index analysis show a higher density of links and greater organizational cohesion among central organizations compared to the peripheral subgroup. Also, the amount of information exchange between central and peripheral subgroups was evaluated as moderate. Based on the results of centrality indices, the geometric position of each actor was determined according to the desired criteria in the network
https://jrwm.ut.ac.ir/article_85237_36a1004f5150ac7cd9ba41ed8bcf8ad4.pdf
2021-11-22
557
569
10.22059/jrwm.2020.311803.1541
Collaborative Land use Planning
Gilan province
Key actors
Organizational Stakeholders
Social network analysis
reza
shakeri
rshakerir@gmail.com
1
Ph.D. Candidate, Department of Environmental Science, Faculty of Natural Resources and Environment, Malayer University, Malayer, and Faculty member of Khatam Al-Anbia University of Technology, Behbahan, Iran
AUTHOR
Mehdi
Ghorbani
mehghorbani@ut.ac.ir
2
Associate Professor of Reviving Arid & Mountainous Regions, University of Tehran, Karaj, Iran
LEAD_AUTHOR
kamran
shayesteh
ka_shayesteh@yahoo.com
3
Assistant Professor of Environmental Assessment, Faculty of Natural and Environmental Sciences, Malayer University, Malayer, Iran
AUTHOR
Andriamihaja, O. R., Metz, F., Zaehringer, J. G., Fischer, M., and Messerli, P. (2021). Identifying agents of change for sustainable land governance. Land Use Policy, 100, 104882.
1
Bodin, Ö, and Crona, B. I. (2009). The role of social networks in natural resource governance: What relational patterns make a difference? Global environmental change, 19(3), 366-374.
2
Bodin, Ö, Crona, B., and Ernstson, H. (2006). Social networks in natural resource management: what is there to learn from a structural perspective? Ecology and society, 11(2).
3
Bodin, Ö, and Prell, C. (2011). Social network analysis in natural resource governance: summary and outlook.
4
Bonacich, P. (1972). Factoring and weighting approaches to status scores and clique identification. Journal of mathematical sociology, 2(1), 113-120.
5
Borgatti, S. P., Everett, M. G., and Freeman, L. C. (2002). Ucinet for Windows: Software for social network analysis. Harvard, MA: analytic technologies, 6.
6
Borgatti, S. P., Mehra, A., Brass, D. J., and Labianca, G. (2009). Network analysis in the social sciences. Science, 323(5916), 892-895.
7
Brandes, U., and Erlebach, T. (2005). Fundamentals. In Network analysis (pp. 7-15): Springer.
8
Clarke, G. (2007). Agents of transformation? Donors, faith-based organisations and international development. Third World Quarterly, 28(1), 77-96.
9
Cohen, P. J., Evans, L. S., and Mills, M. (2012). Social networks supporting governance of coastal ecosystems in Solomon Islands. Conservation Letters, 5(5), 376-386.
10
Coleman, J. S. (1994). Foundations of social theory. Harvard university press.
11
Crona, B. and Bodin, Ö. (2006). What you know is who you know? Communication patterns among resource users as a prerequisite for co-management. Ecology and society, 11(2).
12
Di Gregorio, M., Fatorelli, L., Paavola, J., Locatelli, B., Pramova, E., Nurrochmat, D. R. ... and Kusumadewi, S. D. (2019). Multi-level governance and power in climate change policy networks. Global Environmental Change, 54, 64-77.
13
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45
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52
ORIGINAL_ARTICLE
Investigation of Forage Cactus Plantation (Opuntia ficus indica L.) in Reviving and Repairing Destroyed Tropical Rangelands (Case Study: Qasrshirin Rangelands of Kermanshah Province)
Therefore, in order to evaluate the cultivability of forage cactus (Opuntia ficus indica L.) in the Naft shahr of Qesir shirin city, Kermanshah province has been considered. Different treatments without irrigation, 1, 15, 30 days, once irrigation in three repetitions for three years were performed based on a completely randomized block design. Cultivation of cactus plant in the first half of November and irrigation began on the first of June. The means of the results were compared using Duncan's multiple range test in SPSS software.The results of analysis of variance showed that the effect of irrigation cycle and the interaction effect of irrigation cycle at the time of measurement on the number of pads and plant height had a significant effect at the statistical level of 0.01. Survival of 75, 57, 43 and 38% of plants was obtained with 15-day irrigation cycle, 30-day treatment, one-time irrigation and no irrigation treatment, respectively. The results of this study show that planting cactus in areas with arid desert climate such as Qesir shirin and Somar in Kermanshah province is recommended due to its high adaptability. Dry forage production Cactus forage can be effective for livestock development in these and similar areas. Also, due to the role of cactus in soil conservation, it is possible to prevent the occurrence of dust, desertification, pasture destruction and soil erosion in the region by developing crops. Also,
https://jrwm.ut.ac.ir/article_83992_1aadeb1474fb372d48cc5d1e9936edf1.pdf
2021-11-22
571
583
10.22059/jrwm.2021.325462.1597
Dust
Forage Cactus
Impact of irrigation period
Qesir shirin
Soil erosion
Khosro
Shahbazi
khosrw_shahbazi@yahoo.com
1
1Assistant Professor, Research Institute of Forests and Rangelands, Agricultural Research, Education and extension Organization (AREEO), Tehran, Iran
LEAD_AUTHOR
Borzoo
Yoosefi
borzooyoosefi@gmail.com
2
Expert of Agricultural Research and Training Center and Kermanshah Province, Agricultural Research, Education and Extension Organization, Tehran, Iran
AUTHOR
[1]Barbera, G., Inglese, P., and Pimienta-Barrios, E. (1995). Agroecology, Cultivation and Uses of Cactus Pear Eds.). FAO Plant Production and Protection Paper 132, Rome.
1
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2
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3
[4]Domingues, O. (1963). Origem e introducao da palma forrageira no nordeste. Instituto Joaquim Nabuco de Pesquisas Socias, Pernambuco, Brazil.
4
[5]Dos Santos, D.C., and de Albuquerque, S.G. (2001). Fodder use in the semi arid northeast of Brazil. p. 37–49. In C. Mondragon-Jacobo and S. Perez-Gonzalez (ed.) Cactus (Opuntia spp.) as forage. FAO plant production and protection paper 169, FAO, Rome, Italy.
5
[6]Felker, P., Soulier, C., Leguizamón, G., and Ochoa, J. (2002). A comparison of the fruit parameters of 12 Opuntia clones grown in Argentina and the United States. Journal of Arid Environments, 52(3), 361-370.
6
[7]Forni, E., Polesello, A., Montefiori, D., and Maestrelli, A. (1992). High-performance liquid chromatographic analysis of the pigments of blood-red prickly pear (Opuntia ficus indica). Journal of Chromatography 593, 177-183.
7
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[9]Gagender, Y., Sing, G., Dagar, J. C., and Khajanchi, L. (2014). Performance of edible cactus (Opuntia ficus-indica) in saline environments. INDIAN J AGR SCI, 84(4),73-87.
9
[10]Galizzi, F., Felker, P., and Gardiner, G. )2004(. Correlations between soil and cladode nutrient concentrations and fruit yield and quality in Opuntia ficus indica in a traditional farm setting in Santiago del Estero, Argentina. J. Arid Environ. 59, 115–132.
10
[11]Gonzalez, C.L. (1989). Potential of fertilization to improve nutritive value of prickly pear cactus (Opuntia lindheimerii Engelm.). J. Arid Environ. 16, 87–94.
11
[12]Guevara, J.C., Colomer, J.H.S., Jua´rez, M.C., and Estevez. O.R. (2003). Opuntia ellisiana: Cold hardiness, above-ground biomass production and nutritional quality in the Mendoza plain, Argentina [Online]. Available at: www.jpacd.org; verified 28 June 2006. Journal Prof. Assn. Cactus Devel. 5, 55–64.
12
[13]Gregory, R.A., and Felker. P. (1992). Crude protein and phosphorus contents of 8 contrasting Opuntia forage clones. Journal of Arid Environments 22:323-331.148 J. PACD – 2003.
13
[14]Han, H., and Felker. P., (1997). Field validation of water use efficiency of a CAM plant Opuntia ellisiana in south Texas. J. Arid Environ. 36, 133–148.
14
[15]Joubert, E. (1993). Processing of the fruit of five prickly pear cultivars grown in South Africa. International Journal of Food Science Technology 28, 377-387.
15
[16]Kheyrodin H. (2013). Effects of vegetation on soil erosion in desert areas. The 3th National Conference on Wind Erosion and Dust Storms, Yazd University, IRAN.
16
[17]Kuti, J.O., and Galloway, C.M. (1994). Sugar composition and invertase activity in prickly pear fruit. Journal Food Science 59(2), 387-393.
17
[18]Lopez, J.J., Rodriguez-G, A., Perez-R, L., and Fuentes-R. J.M. (1996). A survey of forage uses of cactus in northern Mexico [Online]. Available at: www.jpacd.org; verified 28 June 2006. J. Prof. Assn. Cactus Devel. 1, 10–19.
18
[19]Elbana, M., El-Gamal, E. H., Mohamed, A., Fernando, A. L., Pari, L., Outzourhit, A., Elwakeel, M., El-Sheikh, E.A., and Rashad, M. (2020). Effect of irrigation scheduling on canopy cover development and crop-water management related parameters of O.ficus-indica under prolonged drought conditions. Scientific Journal of Agricultural Sciences 2 (2): 113-122.
19
[20]Masjedi, A. R., and Fathi Moghadam. M. (2009). A laboratory study of vegetation effects on preventing soil erosion in water catchments. Journal of Watershed Engineering and Management.
20
[21]Merin, U., Gagel, S., Popel, G., Bernstein, S., and Rosenthal. I. (1987). Thermal degradation kinetics of prickly pear fruit red pigment. Food Science 52, 485-486.
21
[22]Mondragon-Jacobo, C., and Perez-Gonzalez. S. (2001). Cactus (Opuntia spp) as forage. FAO Plant Production and Protection Paper 169. FAO, Rome, Italy.
22
[23]Monjauze, A., and LeHouerou. H.N. (1965). Le role des Opuntia dans l’economie agricole Nord Africaine. Extrait de Bulletin de l’Ecole Nationale Superieure d’Agriculture de Tunis.
23
[24]Nefzaoui, A., and Salem, H.B. (2001). Opuntia spp. A strategic fodder and efficient tool to combat desertification in the WANA region. p. 73–90 In C. Mondragon-Jacobo and S. Perez-Gonzalez (ed.) Cactus (Opuntia spp.) as forage. FAO plant production and protection paper 169, FAO, Rome, Italy.
24
[25]Nobel, P.S. (1991). Tansley Review no 32. Achievable productivities of CAM plants: Basis for high values compared with C3 and C4 plants. New Phytol. 119, 183–205.
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[26]Nobel, P.S. (1994). Remarkable agaves and cacti. Oxford Univ. Press, New York
26
[27]Pourjavad, H., Rashki, A., Hosseinalizadeh, M. (2017). Assessing the influence of plant species on wind erosion in arid regions: (a case study of the Sebri region of Sabzevar, Iran). Desert Ecosystem Engineering Journal, 6(14), 21-32.
27
[28]Rearte, D. (1996). La integracion de la ganaderia Argentina. INTA-SAGPyA. Balcarce (Argentina), 31 pp.
28
[29]Redhead, J. (1990). Utilization of tropical foods: fruits and leaves. FAO Food and Nutrition Paper No: 47/7. Food and Agriculture Organization of the United Nations, Rome.
29
[30]Retamal, N., Durán, J. M., and Fernández. J. (1987). Seasonal variations of chemical composition in prickly pear (Opuntia ficus‐indica (L.) miller). Journal of the Science of Food and Agriculture, 38(4): 303-311.
30
[31]Rodriguez-Felix, A., and Cantwell, M. (1988). Developmental changes in the composition and quality of prickly pear cactus cladodes (nopalitos). Plant Foods Hum. Nutr. 38, 83–93.
31
[32]Snyman, H.A. (2004). Effect of Various Water Application Strategies on Root Development of Opuntia ficus-indica and O. robusta Under Greenhouse Growth Conditions. anuary 2004 Journal of the Professional Association for Cactus Development (6):34-61.
32
[33]Suter-Burri, K., Gromke, C., Leonard, K. C., and Graf, F. (2013). Spatial patterns of aeolian sediment deposition in vegetation canopies: Observations from wind tunnel experiments using colored sand. Aeolian Research, 8, 65-73. 71- Szarek, S. R., & Ting, I. P. (1975). Physiological responses to rainfall in Opuntia basilaris (Cactaceae). American Journal of Botany, 62(6), 602-609.
33
[34]Turker, N., Coşkuner, Y., Ekiz, H. I., Aksay, S., and Karababa, E. (2001). The effects of fermentation on the thermostability of the yellow-orange pigments extracted from cactus pear (Opuntia ficus-indica). European Food Research and Technology, 212(2), 213-216.
34
[35]Varley, A., Fonseca, M., Dos Santos, R., Abel da, J., Silva, S., Rodrigues, L., Santos, D. C., Cleiton, R., and Barbosa Brito, F. (2019). Morpho-physiology, yield, and water-use efficiency of Opuntia ficus-indica irrigated with saline water. Acta Scientiarum. Agronomy 41.
35
ORIGINAL_ARTICLE
Allelopathic Effects of Eucalyptus camaldulensis on Seed Germination and Initial Growth of Three Medicinal species
The allelopathic influence of aqueous extracts of Eucalyptus camaldulensis on Cassia angustifolia Vahl., Datura stramonium L. and Hibiscus sabdariffa L. germination (%), germination stages and seedling growth were examined. For this goal, the extract was prepared from the shoot and roots of Eucalyptus camaldulensis firstly. The extract was diluted by adding distilled water to 0 (control), 25, 50, 75 and 100 percent. The effect of the four mentioned treatments, as well as distilled water as control were studied in four repetitions on seed germination using a completely randomized design. Results showed that there were significant differences among the measured characteristics for germination percentage and speed, length of root, length of shoot, length seedling and vigority index (p<1%) in all three species. Comparison of means indicated that increasing the concentration of allelopathic extract of Eucalyptus decreased seed germination and initial growth of seedlings in all three species significantly. The highest germination percentage and speed was belonging to Hibiscus sabdariffa (60% and 3.5) at zero concentration (control). Also, germination of Datura stramonium done only until concentration of 25 percent (20%) and at concentrations 50, 75 and 100 % it was zero. According to the results Datura stramonium had more sensibility than two other species related to allelopathic effect of Eucalyptus camaldulensis. Generally, it is recommended not to plant eucalyptus as a windbreak with medicinal species Cassia angustifolia, Datura stramonium and Hibiscus sabdariffa as much as possible in the study area.
https://jrwm.ut.ac.ir/article_85238_1aa0f90595a69bfec86a8c8cad383944.pdf
2021-11-22
585
596
10.22059/jrwm.2021.303243.1507
germination
Allelopathy
Extract
Eucalyptus camaldulensis
Medicinal plant
Morteza
Saberi
m_saberi63@yahoo.com
1
Assistant professor, Range and watershed management department, Water and Soil collage, University of Zabol, Iran
LEAD_AUTHOR
Vahid
Karimian
v.karimiyan_49@yahoo.com
2
Ph.D. Graduate, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran.
AUTHOR
Majid
khazaei
khazayi64@gmail.com
3
3- Assistant Professor, Forests, Rangelands and Watershed Management Enginering, Department, Kohgiluyeh & Boyerahmad Agricultural and Natural Resources Research and Education Center, Agricultural Research , Education and Extension Organization (AREEO), Yasouj, Iran.
AUTHOR
Abdi, S. Abedi, R. (2019). Nonlinear regression modelling of rye and foxtail germination behavior under allelopathic effects of peppermint, chicory and sage. Journal of Plant Research. 32, 3. 573-581.
1
Agraval, R. (2005). Seed Technology. Oxford and IBH Publishing Co.
2
Bagheri, S. (2014). Allelopathic Effects of eucalyptus and seeding depth on germination characteristics and early growth of Agropyroum desertorum. Range Management, 1 (3), 64-51.
3
Ben-hammouda, M., Ghorbal, H., kremer, R.J. and Oueslati, O. (2001). Allelopathy effects of barlyextracts on germination and seedling growth of bread and durum wheats. Agronomy, 21, 65-71.
4
Bertin, C., Yang, X. and Weston, L.A. (2003). The role of root exudates and allelochemicals in the rhizosphere. Plant and Soil, 256, 67-83.
5
Bogatek, R., Gniazdowka, A., Stepien, J. and Kupidlowska, E. (2005). Sunflower allelochemicals mode of action in germinating mustard seeds. Proceedings of the 4th World Congress on Allelopathy, 4-7 May, Wagga Wagga, Australia, Pp. 277-279.
6
Camberato, J. and Mccarty, B. (1999). Irrigation water quality: part I. Salinity. South Carolina Turfgrass Foundation New, 6, 6-8.
7
Daneshmandi, M.SH. and Azizi, M. (2009). Allelopathic effect of eucalyptus globulus on bermuda grass (cynodon dactylon (l.) pers.) germination and rhizome growth. Iranian Journal of Medicinal and Aromatic Plants, 25 (3), 333-345.
8
Darier, S. and Youssef, S R. (2005). Effect of soil type, salinity, and allelochemical on germination and seedling growth of medicinal plant (Lepidium sativium) Annals of Applied Biology, 136(3), 273-279.
9
El-Khatib, A. A., Hegazy, A. K., Gala, H. K. (2004). Does allelopathy have a role in the ecology of Chenopodium mural. Annales Botanici Fennici, 41, 37-45.
10
Gholami, P., Amozgar, l., Habibi, M. and Hamze-Ali Shirmardi, H.A. (2015). Allelopathic effect of Artemisia aucheri on seed germination of Agropyron elongatum and Agropyron repens. Journal of Plant Ecosystem Conservation, 3(6), 69-80.
11
Gholami, P., Ghorbani, J. and Ghaderi, Sh. (2011). Allelopathic effects of Artemisia aucheri on seed germination properties of Festuca arundinacea Schreb and Dactylis glomerata. Journal of Plant Ecophysiology, 3(9),41-52.
12
Ghorbanli, M.L., Bakhshi Khaniki, G.R. and Shojaei, A.A. (2008). Examination of the effects of allelopathy of artemisia sieberi besser subsp. sieberi on seed germination and Avena lodoviciana and maranthus retroflexus seedlings growth. Pajouhesh-Va-Sazandegi, 21(2), 129-134.
13
Glass, A. D. M. (1974). Influence of phenolic acids on ion uptake. III. Inhibition of potassium absorption. Journal of Experimental Botany, 25(84), 1104-1113.
14
Gniazowska, A. (2005). Allelopathic interactions between plants. Multi site action of allelochemicals. Acta Physiologiae Plantarum, 27(3), 395-407.
15
Hejazi, A., Ghaffuri, S.M. and Hosseini Mazinani, S.M. (2001). Investigation the probable allelopathic effect of root exudation of wheat, cotton sunflower on different growth development stayes and seed yield at sunflower. Pajouhesh-Va-Sazandegi, 14(51), 88-93.
16
Jefferson, L. and M-pennacchio, V. (2003). Allelopathic effects of foliage extracts from four chenopodiaceae species on seed germination, Journal of Arid Environments, 55(2), 273-285.
17
Kil, B.S., Han, D.M., Lee, C.H., Kim, Y.S., Yun, K.Y. and Yoo, H.G. (2000). Allelopathic effects of Artimisia lavandulaefolia. Korean Journal Ecology, 23, 149-155.
18
Maguirw, I. D. (1962). Speed of germination- arid in selection and evaluation for seedling emergence and vigor. Crop Science, 2, 176-177.
19
Makizadeh tafti, M. farhoudi, R. (2017). Investigation on the Effect of Alternate Barley Extract on Seedling Growth and stability of the cell membrane of seedlings of weeds of wild oat and Ryegrass. Journal of Plant Production Science. 7, 1: 65-72.
20
Mohamadi, N., Rajaie, P. and Fahimi, H. (2012). The allelopathic assay of Eucalyptus camaldulensis Labill on morphological and physiological parameters on monocot and dicot plants. Iranian Journal of Biology, 25 (3), 456-464.
21
Nega, F., & Gudeta, T. (2019). Allelopathic Effect of Eucalyptus globulus Labill. on Seed Germination and Seedling Growth of Hordeum vulgare and Eragrostis tef. Journal of Experimental Agriculture International, 30(4), 1-12.
22
Osareh, M.H. and Sardabi, H. (2007). Eucalyptus, Cognition, Introduction and Increase Using New Technologies. Volume One, Publications of Forests and Rangelands Research Institute.
23
Pouresmaeil, M. Motafakkerazad, R. Sabzi Nojadeh, M. (2020). Identification of chemical constituents and evaluation of allelopathic potential of field bindweed organs extract on growth and physiological parameters of bread wheat. Journal of Plant Research. Available Online.
24
Rice, E.L. (1984). Allelopathy, 2ed Edition, Academic press.
25
Saberi, M., Davari, A., Tarnian, F., Shahreki, M. and Shahreki, E. (2013). Allelopathic Effects of Eucalyptus camaldulensis on Seed Germination and Initial Growth of four range species. Annals of Biological Research, 4 (1), 152-159.
26
Safari, H., Tavili, A. and Saberi, M. (2010). Allelopathic effects of Thymus kotschyanus on seed germination and initial growth of Bromus tomentellus and Trifolium repens. Frontiers of Agriculture in China, 4(4), 475–480.
27
Satyajit, O. and Subrata, M. (2020). Studies on Allelopathic Effect of Aqueous Leaf Extract of Putranjiva Roxburghii on Seed Germination and Early Growth of Chickpea (Cicer Arietinum L.), Indian Journal of Agricultural Research, 54(2): 0367-8245.
28
Scrivant, L.R. and Anton, A.M. (2019) Allelopathic effect of endemic South American Bothriochloa species (Poaceae: Andropogoneae), Journal of Essential Oil Research, 31:3, 247-254.
29
Seigler, D. S. (1996). Chemistry and mechanisms of allelopathic interactions. Agronomy Journal, 88(6): 876-885.
30
Singh, N.B. and Ranjana, R. (2003). Effect of leaf leachate of Eucalyptus on germination, growth and metabolism of green gram, black gram and peanut. Allelopathy Journal, 11, 43-52.
31
Zhao, Wei. Zheng, Zheng. Zhang, J. Roger, S. Lui, Xi. (2012). Allelopathically inhibitory effects of eucalyptus extracts on the growth of Microcystis aeruginosa. Chemosphere, 225: 424-433.
32
ORIGINAL_ARTICLE
Ability of Loadest Regression Methods to Estimate Annual Suspended Sediment
Having knowledge on the quantitative amount of watershed sediment yield is one of the most basic information to deal with soil erosion and conservation as well as design of dams. In Iran, the estimation of suspended sediment load is often based on measurement curve methods. Since sediment discharge data are random and discontinuous, in practice, their internalization and extrapolation is associated with many errors. This review is to evaluate the number of data available to estimate daily sediment load with Loadest regression models. Therefore, daily discharge data of Ghazaghli station in Gorganrood forest watershed were used. So that different percentages of available data were accidentally deleted and the amount of sediment load was estimated by 11 methods. According to the evaluation results (Taylor diagram), model number 2 has the best accuracy and in the absence of up to 50% of the daily sediment data, the correlation coefficient of more than 0/5 in the annual sediment estimation and only for the first year And in the rest of the years under study the correlation coefficient is unacceptable. Therefore, the use of sediment measurement curve methods with the data available at the level of Iranian stations, if the number of data available to construct the measurement curve is less than 185 will be associated with very little accuracy. Also, the higher the amount of available data belonging to the periods of low sediment transport (autumn and dry years), the lower the efficiency of the Loadest method will be.
https://jrwm.ut.ac.ir/article_85286_f177a6ce669af5ceacd2147df6a8ff22.pdf
2021-11-22
597
609
10.22059/jrwm.2021.301593.1492
Taylor Diagram
Gorganrood
correlation coefficient
Suspended Sediment
Aliakbar
Nazari Samani
aknazari@ut.ac.ir
1
Faculty of Natural Resources, University of Tehran, Karaj, Iran
LEAD_AUTHOR
Aryan
Salvati
aryansalvati@ut.ac.ir
2
Master of Science in Natural Resources
AUTHOR
Azami, A., and Biroudian, N., and Najafinejad, A., and Yaghmaei, F. and Arab Khedri, M. (2009). Determining the appropriate method for estimating suspended sediment load in Illam dam basin. Watershed Management Research (Pajouhesh Sazandegi), 22, 2(83), 75-82.
1
Azizi, GH., Safar rad T., Moahamadi H. and Sabokbar F H., (2016). Evaluation and Comparison of Recovered Rainfall Data for Use in Iran. Natural Geography Research; 48(1), 33-49 (in Farsi).
2
Best, J. (2019). Anthropogenic stresses on the world’s big rivers. Nature Geoscience, 12(1), 7-21.
3
Chaab, H., Jafari, A., Jalili, S. and Zahiri, J., (2018). Comparison of methods for estimating suspended sediment load upstream and downstream of Dez Reservoir Dam, 11th International Seminar on River Engineering, Ahvaz (in Farsi).
4
Cohn, T.A., (1995). Recent advances in statistical methods for the estimation of sediment and nutrient transport in rivers: Reviews in Geophysics, 33, 1117–1124.
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Cohn, T.A., Caulder, D.L., Gilroy, E.J., Zynjuk, L.D. and Summers, R.M., (1992). The validity of a simple statistical model for estimating fluvial constituent loads, An empirical study involving nutrient loads entering Chesapeake Bay: Water Resources Research, 28(9), 2353–2363.
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Giosan, L., Syvitski, J., Constantinescu, S. and Day, J., (2014). Protect the world’s deltas. Nature 516 (7529), 31–33.
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Guo, C., Jin, Z., Guo, L., Lu, J., Ren, S. and Zhou, Y. (2020). On the cumulative dam impact in the upper Changjiang River: Streamflow and sediment load changes. Catena, 184, 104250.
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Himanshu, S.K., Pandey, A., Yadav, B. and Gupta, A. (2019). Evaluation of best management practices for sediment and nutrient loss control using SWAT model. Soil and Tillage Research, 192, 42-58.
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Mirzaei, M., and Arab Khedri, M., and Feyznia, S. and Ahmadi, H., (2005). Comparison of statistical methods for estimating suspended sediment in rivers. Iranian Journal of Natural Resources, 58 (2), 301-313.
14
Moradi Nejad, A., Davood Maghami, D. and Moradi, M., (1398). Evaluation of efficiency of methods for estimating suspended sediment load of Qarachai river. Environment and Water Engineering, 5 (4), 328-338 (in Farsi).
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Peng, T., Tian, H., Singh, V.P., Chen, M., Liu, J., Ma , H. and Wang, J. (2020). Quantitative assessment of drivers of sediment load reduction in the Yangtze River basin, China. Journal of Hydrology, 580, 124242.
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Rahimi, M., (1397). Assessing the accuracy and efficiency of sediment estimation methods (Case study: Dorodzan Dam watershed), International Conference on Society and Environment, Tehran.
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Runkel, R.L., Crawford, C. G. and Cohn, T.A. (2004). Load Estimator (LOADEST): A FORTRAN program for estimating constituent loads in streams and rivers (No. 4-A5).
18
Rustaei, M., Agh Ataby, M.A., Raghimi M., Nemati M. and Rahimi Chakdel A., (2015). Active Tectonics Analysis by Using Geomorphic Signatures in the Gorgan Drainage Basin in North Eastern Alborz, Geographycal Research, 29, 4(115), 43-56 (in Farsi).
19
Srivastava, A., Brooks, E.S., Dobre, M., Elliot, W. J., Wu, J.Q., Flanagan, D.C. and Link, T.E. (2020). Modeling forest management effects on water and sediment yield from nested, paired watersheds in the interior Pacific Northwest, USA using WEPP. Science of the Total Environment, 701, 134877.
20
Sun, P., Wu, Y., Yang, Z., Sivakumar, B., Qiu, L., Liu, S. and Cai, Y. (2019). Can the grain-for-green program really ensure a low sediment load on the Chinese Loess Plateau?. Engineering, 5(5), 855-864.
21
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24
ORIGINAL_ARTICLE
The status and value of renewable natural resources and its protection and exploitation in the religion of Islam
Water, soil, pasture, forest, etc. are a valuable divine deposit for the people of any society and the national wealth of that society, which not only should be tried to preserve and protect these national assets, but should By adopting principled, technical, and regenerative exploitation policies, it passed on these most precious sources of life to future generations. With the increasing power of technologies in the exploitation of natural resources, the environmental-environmental balance in recent centuries has been disturbed to the detriment of nature, which has created miserable and sometimes irreparable conditions and is referred to as the crisis of natural resources and the environment. It becomes. Today, the international community sees the solution to this dilemma as protecting the environment, and in doing so, wants to know how it can draw on religious teachings in this important matter. The mentioned research seeks to answer this question by descriptive-analytical method. The results show that in order to get rid of the current environmental crisis, we must refer to moral principles and religious texts, especially Islam, because the basis of the crisis in renewable natural resources is the moral crisis among humans and attention to the fundamental values of Islam. Due to its divine and moral support, it plays a key role in the sustainability and protection of the environment and renewable natural resources.
https://jrwm.ut.ac.ir/article_85239_60ddc7714214a748d1ac52438856cdfd.pdf
2021-11-22
611
623
10.22059/jrwm.2021.312890.1546
Natural Resources
Optimal exploitation
Environmental Protection
religious teachings
Shiva
Eyvazi
eyvazi@gmail.com
1
Department of Forestry, Rangeland and Watershed Management, Tehran Science and Research Branch, Islamic Azad University
AUTHOR
Sasan
Babaei Kafaki
s_babaie@srbiau.ac.ir
2
Faculty of Natural Resources and Environment, Islamic Azad University, Research Sciences Branch
LEAD_AUTHOR
Mohammad
Jafari
jafary@ut.ac.ir
3
Professor of the College of Agriculture and Natural Resources, University of Tehran
AUTHOR
Mohammad
Tahmoures
tahmoures@ut.ac.ir
4
Soil Conservation and Watershed Management Department, Zanjan Agricultural and Natural Resources Research Center, AREEO, Zanjan, Iran.
AUTHOR
[1] Adltalab, M. (2001). Forests and Rangelands. Special educational journal of the youth mobilization project in construction, Tehran: Deputy for Promotion and Public Participation of the Office of Participation and Basij.
1
[2] Askari, F. (1999). Natural resources from the perspective of the Holy Quran and hadiths. Proceedings of the Conference on Islam and the Environment, Department of Environment, Tehran, Iran.
2
[3] Behbahani, M. and Ghasemi, B. (2013). Seek sustainable development of rangelands. Jihad Monthly Publication, 16 (182,183).
3
[4] Comprehensive software of Tebyan Hadiths, Computer Research Center of Islamic Sciences, Qom, Iran.
4
[5] Comprehensive software of Noor interpretations, Computer Research Center of Islamic Sciences, Qom, Iran.
5
[6] Ebne Abi Jomhoor, M. (1984). Awali Alali, Seydoshohada Publications, Qom.
6
[7] Haddad Iraqi, K. (2010). Forest protection. Geography Education Development Quarterly, Volume 25, Number 1.
7
[8] Hor Amoli, M. (1993). Wasa'il al-Shia. Alolbeyt Publications, Qom.
8
[9] Jabarloo Shabestari, B. (2006). An analysis of the effects of biological factors (livestock and humans) on the country's rangelands. Jihad Monthly Publication, Thirteenth Year, No. 161.
9
[10] Javadi Amuli, A. (2008). Islam and the Environment, Asra Publications, Qom, 360 p.
10
[11] Karbasi, H. (1999). A view of the environment from the perspective of Islam. Proceedings of the Conference on Islam and the Environment, Department of Environment, Tehran, Iran.
11
[12] Khoshakhlagh, R. (2001). Natural resources economy. Tehran: Academic Center for Education, Culture and Research, Isfahan Branch.
12
[13] Mesdaghi, M. (1998). Rangeland management in Iran, Imam Reza International University, Mashhad.
13
[14] Mohaghegh Damad, M. (2014). Environmental theology. Iranian Institute of Philosophy, Tehran.
14
[15] Mohammadi, A. (2006). The effect of a healthy environment on human beings in Islamic teachings. Journal of the Islamic Revolutionary Guard Corps, No. 300.
15
[16] Mohammadi, Z. And Hosseini, M. (1999). Water from the perspective of Islam. Proceedings of the Conference on Islam and the Environment, Department of Environment, Tehran, Iran.
16
[17] Quran, International Center for the Publication of the Holy Quran, Astan Quds Razavi, Mashhad, Iran.
17
[18] Sheykh Sadoogh, A. (1980). Man, La Yahduruhu al-Faqih. Translated by Seyed Sadr al-Din Bolaghi, Dar al-Kitab al-Islamiya Publications, Tehran.
18
[19] Tabatabaei, M.H. (2003). Tafsir al-Mizan. Translated by Seyed Mohammad Baqer Mousavi Hamedani, Islamic Publications Office, Qom.
19
[20] Toosi, M. (2008). Almabsoot fi Alfeghh Emamie. Almortazavieh Publications, Beirut.
20
ORIGINAL_ARTICLE
Investigating ecological and economic aspects of rangeland livestock managements for meat or milk production
Rangeland stockholders are traditionally using their rangeland for producing various livestock productions such as milk, wool and meet (Several Products, SP). However in recent years, meat production as the only product (Meat Production, MP) is implemented in some rangelands of Khorasan Razavi. We compared effects of 7 years rangeland utilization methods (SP or MP) on the rangeland ecology and their economic benefits for the stockholders. By doing field visits, plant canopy cover, productivity, rangeland conditions and trends, and species diversity were measured and then calculated. Moreover, livestock weight, milk and meat productions, the time spent for livestock management, and 24 hours activities of animals in the rangelands were measured and compared between SP and MP methods. Results indicated similar species diversity and plant production for both MP and SP methods. Major differences were found in terms of incomes, total incomes was 17% higher but total expenses were 70% lower in MP method, leading to 24% higher net income. Moreover, rangers had to spend more time for preparing milk products and selling them in cities, by the MP method. In their daily activity, livestock spent hours more for walking and grazing, which had led to higher soil and vegetation deterioration in MP site. In future, higher income and easier livestock management may encourage stockholders towards higher implementation of MP method. Therefore, future studies should consider best MP method that leads to least side effects on the rangeland soil and vegetation.
https://jrwm.ut.ac.ir/article_85240_7204fca9d275cf0f7f2cde9d29d50d91.pdf
2021-11-22
625
632
10.22059/jrwm.2021.142614.963
rangeland economy
meat production
milk production method
daily livestock activity
livestock management in rangelands
Mohammad
Farzam
mjankju@ferdowsi.um.ac.ir
1
Professor, Department of Range and Watershed Management, Ferdowsi University of Mashhad, Iran
LEAD_AUTHOR
Yasamin
Fazeli
fazeli.yasamin@gmail.com
2
MSc in Range Management, Department of Range and Watershed Management, Ferdowsi University of Mashhad, Iran
AUTHOR
mohammad
Ghorbani
ghorbani@ferdowsi.um.ac.ir
3
Professor, Department of Agriculture Economy, Ferdowsi University of Mashhad
AUTHOR
[1] Agudelo, C., Rivera, B., Tabasco, J. and Estrada, R. (2003). Designing Policies to Reduce Rural Poverty and Environmental Degradation in a Hillside Zone of the Colombian Andes, World development, 31(11): 19-24.
1
[2] Ahmadzadeh, B. (2006). Investigating relationship between economic and social factors affecting desertification. MSc Thesis, Gorgan University of Agriculture and Natural Resources. 166p.
2
[3] Arzani, H., Abedi, M. (2015). Rangeland Assessment, Vol. 2 Vegetation Measurement. Tehran University Press. 322p, ISSBN: 978-9640367971
3
[4] Arzani, H., Azarnivand, H., Mehrabi, A. A., Nikkhah, A., Fazel Dehkordi, L. (2007). Minimum Area required for livestock managers in Semnan province. Pajouhesh va Sazandegi Journal in Natural Resources 74:107-113
4
[5] Bajian, Gh. R. (2007). A review on management of nomadic rangelands in the past and present times: their changes, challenges and recommendations. Seasonal Scientific and Research Journal on Rangelands and Deserts of Iran, 14(4): 524-538
5
[6] Breman, H. (1983). Rangeland productivity and exploitation in the Sahel, Journal of Science, (221): 4618.
6
[7] Bugalho, M. N., Lecomte, X., Goncalves, M., Caldeira, M.C., Branco,M. (2011). Establishing grazing andgrazing-excluded patches increases plant and invertebrate diversity in a Mediterranean oak woodland. Forest Ecology and Management: 261: 2133–2139.
7
[8] Dehghanian, S., Kohansal, M. (2010). A study on production economy on Khorasan nomads. Journal of Agriculture Economy and Development, 8(2): 24-35.
8
[9] Khdashenas, M., Farzam, M., Abrishamchi P. (2016). Morphological and Phenological responses of Stipa turkestanica, Melica persica and Elymus elongatus to microclimate changes during growth season. Rangeland, 10 (3): 267-257.
9
[10] Fitzimons, J. (1996). Sedentarization: It’s Impact on Production Systems, Natural Resources and Resource Ownership. Sub-Regional Workshop on Land Tenure Issues in Natural Resources Management in the Anglophone East Africa, with a Focus on the IGAD Region. Addis Abbaba.
10
[11] Hoffman, K., (2002). The changing face of pastoralism in the Kush-Himalayan-Tibetan plates Highlands’s fringing a sustainable path for the further. A regional strategy workshop in the international year of mountains, Lhasa. P.R. China, 132-140.
11
[12] Jankju M., Ghorbani, M. (2007). New approach to economic evaluation of range management projects in Iran. Rangeland 1 (3) 292-307.
12
[13] Jankju, M., Delavari, A., Ganjali, A. (2008). Pit seeding of Bromus kopetdaghensis in shrublands. Rangeland 2(4) 314-328.
13
[14] Khaksarzade, V., Jankju, M., Lagzian, A. (2105). Effects of livestock grazing and canopy cover of range shrubs on the symbiosis between Mycorrhiza and Bromus kopetdaghensis. Rangeland, 9(4) : 344-355.
14
[15] Kafilzadeh, F., Esmaeilizadeh, A., Seyyedan, M. (2001). Journal of Agriculture Economy and Development, 12(38): 12-23
15
[16] Kardovani, P. (2002). Rangelands their challenges and resolutions in Iran. Tehran University Press, 3rd Edition, 342 p.
16
[17] Khakipur, L., Barani, H., Darijani, A., Karamian, R. (2011). Investigation relative incorporation of rangelands in the incomes of nomadic families (Case Study: Hamian Watershed). Scientific and Research Journal of Rangelands, 5(4): 430-437.
17
[18] Lynam, T., Stafford Smith, M. (2003). Monitoring in a complex world: seeking slow variables, a scaled focus and speedier learning. The 7th International Rangeland Congress, Durban, South Africa, pp 69-78.
18
[19] Mansoori, M. (2002). A comparative study on production economy of nomads and their readiness for changes in the production methods; case studies Jalaili Tribe, Northeast of Iran. Journal of Social and Humanity Science of Shiraz University 19(1): 45-56
19
[20] Mesdaghi, M. (2007). Range Management in Iran. 5th Edition. Imam Reza University Press. 352p.
20
[21] Razavi, M. (2010). Economy of settled nomads in the summer rangelands on north Semnan and role of local community on it. Journal of Agriculture Economy and Development, 8(31): 12-23
21
[22] Shahmohammadi, A., Khatoonabadi, A. (2001). Evaluating Economic and Social effects of entrance and removal of grazing livestock on summer rangelands of Ferydoonshahr rangelands. Proceeding of 3rd National Conference on Rangelands and Rangeland Management in Iran. Published by National Center on Forests and Rangelands, page 123.
22
ORIGINAL_ARTICLE
Economic evaluation of medicinal plants exploitation, Aliabad Mosiri rangelands, Koohrang Bakhtiari
Knowledge of medicinal plants and economic evaluation of their use is one of the basic requirements for the preparation of multi-purpose rangeland plans. The aim of this study was to estimate the economic indicators of the use of medicinal plants used in Aliabad Mosiri summer rangeland, located in Koohrang Bakhtiari. For this purpose, in the years 2018 to 2020, while sampling the vegetation and measuring the amount of organ production used by medicinal plants and the amount of forage of grazing species, economic indicators were calculated according to the collected data. According to the results, gross income from the use of medicinal plants includes; Shallots (Allium hirtifolium), Allium jesdianum, Allium ampeloprasu, Mentha longifolia and Thymus daenensis, in a harvest period, was estimated at 1139.463974 million Rials per hectare. From the deduction of overt and covert operating costs, the economic rent resulting from the sale of medicinal plants, 40,0342,242 million Rials per hectare per year was obtained. The expected value of each hectare of rangelands in the region from the place of exploitation of medicinal plants, taking into account the discount rate of 5.4 percent in September 2020, 71.74547 million Rials per hectare and from the place of forage for grazing livestock, 1.130050 million rials per hectare. It was estimated that the share of medicinal plants in the total expected value is 87%. .Also, the annual employment of medicinal plants in the 300-hectare area of distribution of medicinal plants, three people per year, was calculated
https://jrwm.ut.ac.ir/article_85241_a81191f43d90264a8beb7b994350ce11.pdf
2021-11-22
633
647
10.22059/jrwm.2021.320148.1577
Expected pasture value
Net income
economic profit
medicinal plants
Multi-Purpose Use
elham
fakhimi
elhamfakhimi@gmail.com
1
Assistant Professor, Research Division of Natural Resources, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center, AREEO Shahrekord, Iran.
AUTHOR
Javad
Motamedi
motamedi.torkan@gmail.com
2
Associate Professor, Rangeland Research Division, Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran
LEAD_AUTHOR
Zeinab
Gholipour
z.gholipor60@gmail.com
3
Expert, Research Division of Natural Resources, Chaharmahal and Bakhtiari Agriculture and Natural Resources Research and Education Centre, AREEO Shahrekord, Iran
AUTHOR
Ezat allah
Soleimani
soleimani.ezat@gmail.com
4
expert of Rangeland, Natural Resources Office of Chahar Mahal and Bakhtiari province
AUTHOR
Shahbaz
Shamsoddini
shamsoddinis@yahoo.com
5
Instructor, Chaharmahal and Bakhtiari Agricultural and Natural Resources Research and Education Center AREEO, Shahrekord, Iran
AUTHOR
[1] Arzani, H. (1997). Instructions for assessing rangelands in different climatic zones. Publications of the Forests and Rangelands Research Institute, 67 p (In Persion).
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[2] Arzani, H. (2010). Forage quality and daily requriment of animal grazing.. University of Tehran Press, 354 p (In Persion).
2
[3] Arzani, H. and Abedi, M. (2015a). Rangeland assessment, Volume I: Invantory and monitoring. University of Tehran Press, 224 p (In Persion).
3
[4] Arzani, H. and Abedi, M. (2015b). Rangeland Assessment, Volume II: Measuring vegetation, University of Tehran Press, 306 p (In Persion).
4
[5] Arzani, H., Borhani, M. and Charehsaz, N. (2016). World rangelands: Developments and future vision. Pooneh Publishing, 360 p (In Persion).
5
[6] Arzani, H. Motamedi, J. (2019). Reducing pressure on rangelands through economicization of rangeland management. Iranian Journal of Nature, 4 (2):7-14 (In Persion).
6
[7] Amir Nejad, H. (2007). Determining the total economic value of forests in northern Iran with emphasis on valuation of environmental and ecological services: A case study of forests in Nowshahr region, Ph.D thesis in Agricultural Economics, Faculty of Agriculture, Tarbiat Modares University, 154 p (In Persion).
7
[8] Datsgiri, A. (2015). Estimating of expected value of the shallot byproduct in Saral meadows, Master's thesis in Range Management, Faculty of Natural Resources, University of Urmia, 105p (In Persian).
8
[9] Daneshvar Ameri, Zh. and Yazdani, S. (2007). Factors affecting marketing margins shrimp. Journal of Agricultural Sciences, 1(2): 125-115 (In Persion).
9
[10] Ebrahimi, A., Milotic, T. and Hoffmann, M. (2010). A herbivore grazing capacity model accounting for spatio-temporal environmental variation: A tools for a more sustainable nature conservation and rangeland management. Journal of Ecological Modelling, 221(4): 900-910.
10
[11] Edak, N., Arzani, H. and Heshmatolvaezin, M. (2019).Investigating the role of beekeeping in increasing rangeland income (Case study: Zhivar village in Kurdistan province). Journal of Rangeland and Watershed Management, 71 (1): 1-10 (In Persion).
11
[12] Eskandari, N., Alizadeh, A. and Mahdavi, F. (2008). Rangeland management policies in Iran. Pooneh Publishing, 195 p (In Persion).
12
[13] Faustmann, M. (1995). On the determination of the value which forest land and immature stands possess for forestry. Journal of Forest Economics, 1(1): 7-44p.
13
[14] Fwape, J.A. and Onyekwelu, J. (2002). The economic values of non-wood forest products in Nigeria. Xi World Forestry Congress, Antalya, Turkey, 12 p.
14
[15] Ghanbari, S. (2019). Economic evaluation of rangeland production functions in West Azerbaijan. The First International Conference and the Fourth National Conference on the Protection of Natural Resources and the Environment, Mohaghegh Ardabili University, 10 p (In Persion).
15
[16] Heshmatolvaezin, S.M.H., Barkaoui, A. and Peyron, J. (2007). Estimating the value of standing timber on the basis of parcel characteristics- The case of Beech in Lorraine Prior to the 1999 Storms. Revue Forestiere Francaise, 59 (6): 625-638.
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[17] Heshmatolvaezin, S.M.H., Ghanbari, S. and Tavili, A. (2010). Income of Eremurus (Erenurus olgae) and forage production in the Khazangah rangelands of Makoo, Journal of Range and Watershed Management, 63(2): 183-195 (In Persion).
17
[18] Hosseini, S. and Ahughalandari, M. (2007). Economic analysis of marketing margin of Iranian Saffron. The Sixth Conference of Agricultural Economics, Mashhad, 8p (In Persion).
18
[19] Http://www.chbmet.ir/c3.asp (2021/2/5).
19
[20] Jafarzadeh, A., Mahdavi, A., Falah Shamsi, S.R. and Yousefpour, R. (2018). Economic evaluation of some services of Zagros rangelands ecosystem in Ilam province. Journal of Rangeland, 13 (3): 436-449 (In Persion).
20
[21] Janse, G. and Ottitsch, A. (2005). Forest in flueincing the role of non-wood forest products and services. Journal of Forest Policy and Econimics, 7(3): 309-319.
21
[22] Kupahi, M. (2008). Principles of agriculture economics. Tehran University Press, 509p (In Persion).
22
[23] Lalman, D. (2000). Limit feeding concentrate diets to beef cows as an alternative to feeding hay. F-3028, 4p
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[24] Moradi, S. (2018). Economic valuation of rangeland forage production function using hedonic pricing method- Case study: Zamkan Watershed, Kermanshah Province. The First International Conference on Environmental Sciences, Agriculture and Natural Resources, Tehran, 11 p (In Persion).
24
[25] Motamedi, J., Alijanpour, A. and Banj shafie, A. (2015). Recognition and utilization of by-products of rangelands and forests in West Azerbaijan province. Vice Research of Urmia University, 125 p (In Persion).
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[26] Motamedi, J., Abdolalizadeh, Z. and SheydaeiKarkaj, E. (2016). Field and laboratory methods in research of grasslands and livestock products. Urmia University Press, 530 p (In Persion).
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[27] Motamedi, J. Arzani, H. Jafari, M. Farahpour, M. and Zare Chahooki, M.A. (2018). Presenting a model for estimating long-term grazing capacity of rangelands. Journal of Range and Desert Research, 26 (1): 241-259 (In Persion).
27
[28] Motamedi, J., Mofidi Chalan, M., Rahmanpour, S. and Souri, M. (2018). Economic evalution of Shallot utilization in Varnasa rangelands, Naghadeh, Iran. Journal of Rangeland Science, 8(3): 240-252.
28
[29] Person, J., Redfearn, D. and Derwnoski, M. (2020). Estimating a fair value for standing forage, Agriculture economics, Cornhusker economics, 6 p.
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[30] Peyron, J.L. (1998). Elaboration d'un système de comptes economiques articulées de la foret au niveau national, Thèse de doctorat de l'université de Nancy II en sciences économiques, 368 p.
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31
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38
ORIGINAL_ARTICLE
Soil seed bank diversity and richness following cessation of cultivation in shrubland and grassland in semi-steppic rangelands of Chaharmahal and Bakhtiari province
Soil seed bank has an important role in vegetation restoration following cessation of disturbance. In this study, the soil seed bank richness and diversity were investigated in semi-steppic rangeland with a history of land conversion into cultivation in Charmahal-Bakhtiari province. Land-use changes were identified in grassland and shrubland and then were classified into four groups according to the time since abandonment including < 5, 5-15, 15-25 and > 25 years. Aspect was considered in each group. Soil was sampled and seed bank was identified using seedling germination method in glasshouse. Then, seed bank richness and diversity indices were calculated. Results showed that in seed bank the number of perrenilas was greater than annuals. In both grassland and shrubland time since abandonment significantly influenced the soil seed bank richness and diversity. In grassland soil seed bank richness and diversity decreased with time of abandonment but in area with more than 25 yrs of abandonment seed abnk richness and diversity significantly increased. Aspect significantly affected both seed bank richness and diversity in shrubland. North slpoe showed fluctuation in seed bank richness and diversity during abandonment while an increase was found in west slope and a reduction in south and east slopes. In both sites the soil seed bank indices significantly increased shortly after abandonment (<5 yrs) but seed bank richness and diversity showed resilient in >25 yrs in grassland and >15 yrs in shrubland.
https://jrwm.ut.ac.ir/article_85242_91837dc44f2f2d11fea3b6ec5435ad97.pdf
2021-11-22
649
661
10.22059/jrwm.2021.325395.1596
Land-Use Change
Abandoned land
disturbance
restoration
Succession
Elaheh
Fahimipour
elaheh_fahimipour@yahoo.com
1
Ph.D. Student in Range Management, Department of Rangeland Management, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University
AUTHOR
Jamshid
Ghorbani
j.ghorbani@sanru.ac.ir
2
Department of Rangeland Management, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University
LEAD_AUTHOR
Ghodratollah
Heydari
gh.heydari@sanru.ac.ir
3
Sari Agricultural Sciences and Natural Resources
AUTHOR
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37
ORIGINAL_ARTICLE
Evaluating the trend of urban green space changes using landscape metrics (Case study: Qazvin city)
Rising temperatures and the formation of Urban Heat Islands (UHI) are the main consequences of population growth and uncontrolled expansion of cities. Green infrastructures are one of the nature based solutions. These infrastructures can be considered as an important strategy to reduce the damages caused by urban development and increase the quality of citizens’s life. Landscape ecology and its metrics are among the methods of evaluating green infrastructure in urban environments. Hence, the main objective of this research is to evaluate changes in urban green infrastructure during the period of 2013-2019 in Qazvin city. To do so, green infrastructures changes were investigated using remote sensing data and landscape metrics including presence (Class Area), stability (Mean Patch Size) and distribution (Patch Density, Mean Euclidean Distance Neighbor) in three regions of Qazvin. The results showed a decrease of 73.71 hectares in the Class Area (presence) and an increase of 0.1061 hectares in their Mean Patch Size (stability). Furthermore, the density of green infrastructures has experienced 0.8075 decrease per 100 hectares while the Mean Euclidean distance neighbor has increased about 5.5846 meters. These results indicate the conversion of small classes of green infrastructures to bigger classes and increase their stability despite the decrease in their presence. Therefore, planning and management by creating and expansion of green lands seems necessary in order to reduce the effects of urban development, improve the quality of citizen’s life and preserving green infrastructures of Qazvin.
https://jrwm.ut.ac.ir/article_85243_fd9c4451f015a9ca150f3e926c36a1d2.pdf
2021-11-22
663
676
10.22059/jrwm.2021.310429.1532
Environmental Sustainability
Urban Green Infrastructures
Landscape Ecology
Qazvin City
Soheil
Gheshlaghpour
soel.gheshlaghpor@ut.ac.ir
1
MSc student of urban planning, Fine Arts, University of Tehran, Tehran, Iran
AUTHOR
Masoumeh
Moghbel
moghbel@ut.ac.ir
2
Department of Physical Geography, Faculty of Geography, University of Tehran, Tehran, Iran
LEAD_AUTHOR
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ORIGINAL_ARTICLE
Assessing the Effects of Natural resource plans in livelihood of Sarduieh nomads, Jiroft county
People's attitudes toward influence of natural resource management projects on their livelihood could be playing a role important in the sustainability of these projects. This paper accomplished with general aim to studying the attitude of rancher towards the effects of range and watershed plans in sustainable livelihoods capitals tribal families in Sarduieh of Jiroft county. In this regard, five allotments selected that they were done range management and watershed plans. Sampling was simple Random method and the number of samples was determined by Krejcie and Morgan of 48 ranchers. Data were collected via focus groups and interviews structured questionnaire that its validity and reliability were achieved at an acceptable level. Forms and questionnaires analyzed after the initial review and verify the accuracy of the data. For processing and extraction of quantitative and qualitative data used from software SPSS18 and using statistical techniques appropriate with measurement level of variables. The findings show that there was a significant relationship between natural-ecological capital, human-technical, social and sustainable livelihoods of farmers. The results from multiple regression analysis showed that totally 83% of the variance of sustainable livelihoods is determined by third variable including natural capital, social capital and human capital and technical. Also, the findings of this study showed that the highest standard regression coefficient was related to index of natural capital and ecological indicators.
https://jrwm.ut.ac.ir/article_85462_fae44d9159d4af1e2a94d33cba03f15a.pdf
2021-11-22
677
688
10.22059/jrwm.2022.114284.812
Livelihood
Natural resources plans
Nomads of Sarduieh
Nomads’ livelihood index
Jiroft
Hamid Reza
Saeidi Goraghani
hamidsaidi65@yahoo.com
1
Ph.D Graduated in Range Management, Faculty of Natural Resources, University of Tehran, Karaj, Iran
AUTHOR
Hossein
Arzani
harzani@ut.ac.ir
2
Professor, Faculty of Natural Resources, University college of Agriculture and Natural resources, University of Tehran, Karaj, Iran
LEAD_AUTHOR
Hossein
Azarnivand
hazar@ut.ac.ir
3
Professor, Faculty of Natural Resources, University college of Agriculture and Natural resources, University of Tehran, Karaj, Iran
AUTHOR
Mehdi
Ghorbani
mehghorbani@ut.ac.ir
4
Associate Professor, Faculty of Natural Resources, University college of Agriculture and Natural resources, University of Tehran, Karaj, Iran.
AUTHOR
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5
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6
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7
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17
[18] Saeedi Goraghani, H.R. (2011). Assessment of Competition Impacts in Utilization on Range Condition (Case Study: Damavand Summer Rangeland in Amol County). MSc thesis, University of Agricultural Sciences and Natural Resources Sari, Iran.
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