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<ArticleSet>
<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Evaluation of Some Morphological, Phytochemical and Ecological Characteristics of Different Populations of Satureja rechingeri Jamzad</ArticleTitle>
<VernacularTitle>Evaluation of Some Morphological, Phytochemical and Ecological Characteristics of Different Populations of Satureja rechingeri Jamzad</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>12</LastPage>
			<ELocationID EIdType="pii">61729</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61729</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Hassan</FirstName>
					<LastName>Esmaeili</LastName>
<Affiliation>M.S. Student, Medicinal Plants and Drug Research Institute, Shahid
Beheshti University, G. C., Tehran, I.R.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Javad</FirstName>
					<LastName>Hadian</LastName>
<Affiliation>Associate Prof., Department of Agriculture, Medicinal Plants and Drug
Research Institute, Shahid Beheshti University, G. C., Tehran, I.R.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hossein</FirstName>
					<LastName>Mirjalili</LastName>
<Affiliation>Associate Prof., Department of Agriculture, Medicinal
Plants and Drug Research Institute, Shahid Beheshti University, G. C., Tehran,
I.R.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Hassan</FirstName>
					<LastName>Rezadoost</LastName>
<Affiliation>Assistant Prof., Department of Phytochemistry, Medicinal Plants
and Drug Research Institute, Shahid Beheshti University, G. C., Tehran, I.R.IRAN.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>03</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>Satureja rechingeri, an endemic species from Iran, is distributed in narrow habitats in Ilam and&lt;br /&gt;Khuzestan provinces. This study was conducted in 2013 and some morphological characteristics, oil&lt;br /&gt;content, rosmarinic acid content and ecological features of different populations of S. rechingeri&lt;br /&gt;were studied. Identified habitats of S. rechingeri are located in sub-tropical areas of Ilam and&lt;br /&gt;khuzistan provinces, within 32-33◦ longitude and 46-49◦ latitude and the plant mainly grows on&lt;br /&gt;calcareous rocks in the northern and southern slopes. The highest coefficient of variation among the&lt;br /&gt;traits of S. rechingeri was obtained for leaf surface area (43.01%) and the lowest (9.25%) was&lt;br /&gt;obtained for the diameter of the calyx. The coefficient of variation for essential oil yield was&lt;br /&gt;33.71%. The lowest (2.1%) and the highest (3.51%) average essential oil yields were observed in&lt;br /&gt;Kaver and Lives populations, respectively. Minimum (0.93%) and maximum (6.2%) essential oil&lt;br /&gt;yields were observed among the individuals of the Lives and Kaver populations, respectively.&lt;br /&gt;Highest (54.49%) coefficient of variation for rosmarinic acid content was observed in Bone Adab&lt;br /&gt;population. Amount of rosmarinic acid of methanolic extract of under study populations showed&lt;br /&gt;high variability and varied from 0.54 to 7.29% among individuals, while the average rosmarinic&lt;br /&gt;acid in populations varied from 1.62 percent (Kaver population) to 4.14 percent (Zarrin Abad&lt;br /&gt;population). Diversity of S. richingeri within populations was higher than among them showing&lt;br /&gt;limited segregating of populations.</Abstract>
			<OtherAbstract Language="FA">Satureja rechingeri, an endemic species from Iran, is distributed in narrow habitats in Ilam and&lt;br /&gt;Khuzestan provinces. This study was conducted in 2013 and some morphological characteristics, oil&lt;br /&gt;content, rosmarinic acid content and ecological features of different populations of S. rechingeri&lt;br /&gt;were studied. Identified habitats of S. rechingeri are located in sub-tropical areas of Ilam and&lt;br /&gt;khuzistan provinces, within 32-33◦ longitude and 46-49◦ latitude and the plant mainly grows on&lt;br /&gt;calcareous rocks in the northern and southern slopes. The highest coefficient of variation among the&lt;br /&gt;traits of S. rechingeri was obtained for leaf surface area (43.01%) and the lowest (9.25%) was&lt;br /&gt;obtained for the diameter of the calyx. The coefficient of variation for essential oil yield was&lt;br /&gt;33.71%. The lowest (2.1%) and the highest (3.51%) average essential oil yields were observed in&lt;br /&gt;Kaver and Lives populations, respectively. Minimum (0.93%) and maximum (6.2%) essential oil&lt;br /&gt;yields were observed among the individuals of the Lives and Kaver populations, respectively.&lt;br /&gt;Highest (54.49%) coefficient of variation for rosmarinic acid content was observed in Bone Adab&lt;br /&gt;population. Amount of rosmarinic acid of methanolic extract of under study populations showed&lt;br /&gt;high variability and varied from 0.54 to 7.29% among individuals, while the average rosmarinic&lt;br /&gt;acid in populations varied from 1.62 percent (Kaver population) to 4.14 percent (Zarrin Abad&lt;br /&gt;population). Diversity of S. richingeri within populations was higher than among them showing&lt;br /&gt;limited segregating of populations.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Satureja rechingeri</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Natural habitat</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Morphology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rosmarinic acid</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">oil content</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61729_2c7101da363f65e4351f6a1a9210bfbd.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Heavy Metals (Pb and Ni) in Soil and Plant Halimocnemis pilifera in Halgheh Darreh Waste Disposal Site in Karaj</ArticleTitle>
<VernacularTitle>Heavy Metals (Pb and Ni) in Soil and Plant Halimocnemis pilifera in Halgheh Darreh Waste Disposal Site in Karaj</VernacularTitle>
			<FirstPage>13</FirstPage>
			<LastPage>26</LastPage>
			<ELocationID EIdType="pii">61730</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61730</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Nafise</FirstName>
					<LastName>Panahi</LastName>
<Affiliation>MSc. Graduate, Department of Environment Engineering, Faculty of
Natural Resources, University of Tehran, I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Amirhossein</FirstName>
					<LastName>Hamidian</LastName>
<Affiliation>Assistant professor, Faculty of Natural Resources, University
of Tehran, I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Tavili</LastName>
<Affiliation>Associate Professor, Faculty of Natural Resources, University of Tehran,
I.R.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>08</Month>
					<Day>26</Day>
				</PubDate>
			</History>
		<Abstract>This study was conducted in Halgheh Darreh waste disposal site in Karaj in order to determine the&lt;br /&gt;concentration of Ni and Pb in Halimocnemis pilifera and in region’s soil. Three 50*50 m plots in&lt;br /&gt;the direction of the prevailing wind were selected. The First plot was close to the leachate ponds&lt;br /&gt;and the next two plots were located at 500 and 1000 m from the first plot, respectively. Ten random&lt;br /&gt;samples from root and shoot of the plant and also from the soil were collected. The concentrations&lt;br /&gt;of the metals were determined using a flame atomic absorption spectormetery (AA 240 (FS) Varian&lt;br /&gt;Company, USA) after dry acid digestion. Two-way and one-way ANOVA were used to assess the&lt;br /&gt;differences of metal concentrations in roots and shoots of the plants, and in the soil of the plots,&lt;br /&gt;respectively. Duncan Test was applied to compare the average concentrations of metals in different&lt;br /&gt;plots. The results revealed that the soil of the different plots do not have a significant difference in&lt;br /&gt;Ni and Pb concentrations. No significant difference was observed between the metal concentrations&lt;br /&gt;in roots and shoots of the plants. The plants in the second and third plots showed to have the highest&lt;br /&gt;concentration of Pb (3.27 mg kg-1) and Ni (4.41 mg kg-1), respectively. Bioconcentration and&lt;br /&gt;transmission factors for Ni and Pb (TF=1.21; 0.75 and BCF=1.11; 0.29, respectively) suggested that&lt;br /&gt;H.pilifera is an appropriate plant to remove Pb and Ni from soil.</Abstract>
			<OtherAbstract Language="FA">This study was conducted in Halgheh Darreh waste disposal site in Karaj in order to determine the&lt;br /&gt;concentration of Ni and Pb in Halimocnemis pilifera and in region’s soil. Three 50*50 m plots in&lt;br /&gt;the direction of the prevailing wind were selected. The First plot was close to the leachate ponds&lt;br /&gt;and the next two plots were located at 500 and 1000 m from the first plot, respectively. Ten random&lt;br /&gt;samples from root and shoot of the plant and also from the soil were collected. The concentrations&lt;br /&gt;of the metals were determined using a flame atomic absorption spectormetery (AA 240 (FS) Varian&lt;br /&gt;Company, USA) after dry acid digestion. Two-way and one-way ANOVA were used to assess the&lt;br /&gt;differences of metal concentrations in roots and shoots of the plants, and in the soil of the plots,&lt;br /&gt;respectively. Duncan Test was applied to compare the average concentrations of metals in different&lt;br /&gt;plots. The results revealed that the soil of the different plots do not have a significant difference in&lt;br /&gt;Ni and Pb concentrations. No significant difference was observed between the metal concentrations&lt;br /&gt;in roots and shoots of the plants. The plants in the second and third plots showed to have the highest&lt;br /&gt;concentration of Pb (3.27 mg kg-1) and Ni (4.41 mg kg-1), respectively. Bioconcentration and&lt;br /&gt;transmission factors for Ni and Pb (TF=1.21; 0.75 and BCF=1.11; 0.29, respectively) suggested that&lt;br /&gt;H.pilifera is an appropriate plant to remove Pb and Ni from soil.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">soil pollution</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Plant H.pilifera</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Heavy Metals (Ni</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">and Pb)</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Waste Disposal Site</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Halghe Darre</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61730_f90a5376383bda9595ee92e57db50dbc.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analysis of Gully Morphometery in Relation with Physical and Chemical Characteristics of Soil in Kojur, Noushar, Mazandaran Province</ArticleTitle>
<VernacularTitle>Analysis of Gully Morphometery in Relation with Physical and Chemical Characteristics of Soil in Kojur, Noushar, Mazandaran Province</VernacularTitle>
			<FirstPage>27</FirstPage>
			<LastPage>38</LastPage>
			<ELocationID EIdType="pii">61731</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61731</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad Mahdi</FirstName>
					<LastName>Hoseinzadeh</LastName>
<Affiliation>Associate pro. Faculty of Earth Science, Shahid
Beheshti University, Tehran, I.R.IAN</Affiliation>

</Author>
<Author>
					<FirstName>Reza</FirstName>
					<LastName>Esmaili</LastName>
<Affiliation>Assistant Prof. Department of Geography, University of Mazandaran,
Babolsar, I.R.IAN</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Hasan</FirstName>
					<LastName>Jouri</LastName>
<Affiliation>Assistant Prof. Department of Natural Resource, Islamic
Azad University, Nour branch, I.R.IAN</Affiliation>

</Author>
<Author>
					<FirstName>Samaneh</FirstName>
					<LastName>Pourkalhor</LastName>
<Affiliation>Expert of Soil Laboratory, Islamic Azad University, Chalos
Branch, I.R.IAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>09</Month>
					<Day>17</Day>
				</PubDate>
			</History>
		<Abstract>Gully erosion is one of the most destructive types of hydraulic erosion and an important process in&lt;br /&gt;soil destruction that in some cases creates long, vast, deep canals. Study area was located in the&lt;br /&gt;northeastern Alborz, Mazandaran province and Nowshar County (Firozkola subbasin a portion of&lt;br /&gt;Kojur watershed). This paper examines gully morphometery in relation with physical and chemical&lt;br /&gt;characteristics of soil. The morphometery of gullies such as width, depth and slope were determined&lt;br /&gt;in field. Physical and chemical properties of soil such as exchange cation (EC), organic and&lt;br /&gt;inorganic carbon, soil acidity and soil texture were determined in the laboratory. Data analyses were&lt;br /&gt;performed by Detrended correspondence analysis (DCA). The DCA analysis indicated that the&lt;br /&gt;width and slope are correlated with OC and clay negatively but they have positive correlation with&lt;br /&gt;pH. Hence, it&#039;s expected that following reduction of OC and clay and an increase in PH, gully width&lt;br /&gt;boosts. Besides, if EC increases and CaCO3 decreases, depth and w/d ratio of gully will increase.</Abstract>
			<OtherAbstract Language="FA">Gully erosion is one of the most destructive types of hydraulic erosion and an important process in&lt;br /&gt;soil destruction that in some cases creates long, vast, deep canals. Study area was located in the&lt;br /&gt;northeastern Alborz, Mazandaran province and Nowshar County (Firozkola subbasin a portion of&lt;br /&gt;Kojur watershed). This paper examines gully morphometery in relation with physical and chemical&lt;br /&gt;characteristics of soil. The morphometery of gullies such as width, depth and slope were determined&lt;br /&gt;in field. Physical and chemical properties of soil such as exchange cation (EC), organic and&lt;br /&gt;inorganic carbon, soil acidity and soil texture were determined in the laboratory. Data analyses were&lt;br /&gt;performed by Detrended correspondence analysis (DCA). The DCA analysis indicated that the&lt;br /&gt;width and slope are correlated with OC and clay negatively but they have positive correlation with&lt;br /&gt;pH. Hence, it&#039;s expected that following reduction of OC and clay and an increase in PH, gully width&lt;br /&gt;boosts. Besides, if EC increases and CaCO3 decreases, depth and w/d ratio of gully will increase.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">DCA analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Gully erosion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Morphometery</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Kojur</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61731_9b89131773792cd2fcdf501289fe9200.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Runoff Estimation of Urban Catchment Using URBS-UH Model (Case Study Baharestan City)</ArticleTitle>
<VernacularTitle>Runoff Estimation of Urban Catchment Using URBS-UH Model (Case Study Baharestan City)</VernacularTitle>
			<FirstPage>39</FirstPage>
			<LastPage>50</LastPage>
			<ELocationID EIdType="pii">61732</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61732</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Zohreh</FirstName>
					<LastName>Khorsandi</LastName>
<Affiliation>Ph.D. Student of Watershed Management,
Science and Research Branch, Islamic Azad University, Tehran, I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Mahdavi</LastName>
<Affiliation>Professor, Faculty of Natural Resources, University of
Tehran, I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Salajeghe</LastName>
<Affiliation>; Professor, Faculty of Natural Resources, University of Tehran,
I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Saeid</FirstName>
					<LastName>Eslamian</LastName>
<Affiliation>Professor, Faculty of Agriculture, Isfahan University of
Technology, I.R.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>Quantification of urban hydrologic response of catchments to rain fall is one of the most important&lt;br /&gt;issues in urban hydrology. Despite its importance, there is scant information by means of which&lt;br /&gt;required data can be obtained for quantifying hydrologic response. In this study, urban database was&lt;br /&gt;developed for a part of Baharestan City in Isfahan Province and using the information, the urban&lt;br /&gt;unit hydrograph was determined through URBS-UH model for two catchments of Baharestan. Peak&lt;br /&gt;of hydrograph of the first and second catchment was estimated 0.0727m3/s and 0.096, respectively.&lt;br /&gt;Flood hydrograph of some rain occurred previously in Baharestan was determined through the unit&lt;br /&gt;hydrograph. Peak discharge of flood was also measured and the efficiency of the developed model&lt;br /&gt;was examined based on the peak information. Nash–Sutcliffe coefficient of the first and the second&lt;br /&gt;catchment were estimated 0.89 and 0.79, respectively. The developed model showed good to very&lt;br /&gt;good performance in the pilot area.</Abstract>
			<OtherAbstract Language="FA">Quantification of urban hydrologic response of catchments to rain fall is one of the most important&lt;br /&gt;issues in urban hydrology. Despite its importance, there is scant information by means of which&lt;br /&gt;required data can be obtained for quantifying hydrologic response. In this study, urban database was&lt;br /&gt;developed for a part of Baharestan City in Isfahan Province and using the information, the urban&lt;br /&gt;unit hydrograph was determined through URBS-UH model for two catchments of Baharestan. Peak&lt;br /&gt;of hydrograph of the first and second catchment was estimated 0.0727m3/s and 0.096, respectively.&lt;br /&gt;Flood hydrograph of some rain occurred previously in Baharestan was determined through the unit&lt;br /&gt;hydrograph. Peak discharge of flood was also measured and the efficiency of the developed model&lt;br /&gt;was examined based on the peak information. Nash–Sutcliffe coefficient of the first and the second&lt;br /&gt;catchment were estimated 0.89 and 0.79, respectively. The developed model showed good to very&lt;br /&gt;good performance in the pilot area.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Urban hydrology</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Unit Hydrograph</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">URBS-UH model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Baharestan</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61732_9ee8aad199b1f6ac723f2595827884ff.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Impacts of Large-Scale Climate Signals on Seasonal Rainfall in the Maharlu - Bakhtegan Watershed</ArticleTitle>
<VernacularTitle>Impacts of Large-Scale Climate Signals on Seasonal Rainfall in the Maharlu - Bakhtegan Watershed</VernacularTitle>
			<FirstPage>51</FirstPage>
			<LastPage>63</LastPage>
			<ELocationID EIdType="pii">61733</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61733</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Bahram</FirstName>
					<LastName>Choubin</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>SHahram</FirstName>
					<LastName>KHalighi Sigaroodi</LastName>
<Affiliation></Affiliation>

</Author>
<Author>
					<FirstName>Arash</FirstName>
					<LastName>Malekian</LastName>
<Affiliation></Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>05</Month>
					<Day>11</Day>
				</PubDate>
			</History>
		<Abstract>Predicting climate trends, especially forecasting rainfall, provides managers of different fields with&lt;br /&gt;suitable tools so that considering these predictions; they can devise future-state policies. At this&lt;br /&gt;study, after selecting the most effective climate indices applying PCA method, the effects of largescale&lt;br /&gt;climate signals in seasonal rainfall of basin Maharlu - Bakhtegan were investigated both&lt;br /&gt;simultaneously and by delay through statistical methods (Pearson correlation and cross-correlation&lt;br /&gt;coefficient) and by applying stepwise regression model, regression equation for forecasting rainfall&lt;br /&gt;was offered. The results showed that in cross-correlation between the time series of SPI (dependent&lt;br /&gt;variable) at time (t) and climate signals (independent variable) at time (t-k), only SOI index&lt;br /&gt;concurrently has a significant relationship with rainfall, whereas, most of indices turned significant&lt;br /&gt;with standardized precipitation index with different lag times. In season to season study of the&lt;br /&gt;signals with the standard precipitation index using Pearson&#039;s correlation coefficient it was found that&lt;br /&gt;climate signals of spring and summer are not significantly correlated with SPI. Representation&lt;br /&gt;coefficients (R2) and standardized regression effect (Beta) in stepwise regression model showed that&lt;br /&gt;simultaneous and with season to season delays signals (for example: SPI index of autumn with four&lt;br /&gt;previous seasons indexes) at method Pearson correlation have higher relationship with seasonal&lt;br /&gt;standardized precipitation index than the cross-correlation in time (t-k), (which signals of all&lt;br /&gt;seasons given is delay together with than SPI of all seasons) show.</Abstract>
			<OtherAbstract Language="FA">Predicting climate trends, especially forecasting rainfall, provides managers of different fields with&lt;br /&gt;suitable tools so that considering these predictions; they can devise future-state policies. At this&lt;br /&gt;study, after selecting the most effective climate indices applying PCA method, the effects of largescale&lt;br /&gt;climate signals in seasonal rainfall of basin Maharlu - Bakhtegan were investigated both&lt;br /&gt;simultaneously and by delay through statistical methods (Pearson correlation and cross-correlation&lt;br /&gt;coefficient) and by applying stepwise regression model, regression equation for forecasting rainfall&lt;br /&gt;was offered. The results showed that in cross-correlation between the time series of SPI (dependent&lt;br /&gt;variable) at time (t) and climate signals (independent variable) at time (t-k), only SOI index&lt;br /&gt;concurrently has a significant relationship with rainfall, whereas, most of indices turned significant&lt;br /&gt;with standardized precipitation index with different lag times. In season to season study of the&lt;br /&gt;signals with the standard precipitation index using Pearson&#039;s correlation coefficient it was found that&lt;br /&gt;climate signals of spring and summer are not significantly correlated with SPI. Representation&lt;br /&gt;coefficients (R2) and standardized regression effect (Beta) in stepwise regression model showed that&lt;br /&gt;simultaneous and with season to season delays signals (for example: SPI index of autumn with four&lt;br /&gt;previous seasons indexes) at method Pearson correlation have higher relationship with seasonal&lt;br /&gt;standardized precipitation index than the cross-correlation in time (t-k), (which signals of all&lt;br /&gt;seasons given is delay together with than SPI of all seasons) show.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Seasonal Rainfall</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Principal component analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Maharlu - Bakhtegan watershed</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Large-scale climate signals</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Cross- correlation</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61733_13aa7dc302492d19f90b4eb3f2474892.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Comparison of Neuro Fuzzy, Neural Network Artificial and Statistical Methods for Estimating Suspended Load Rivers (Case Study: Taleghan Basin Upstream)</ArticleTitle>
<VernacularTitle>Comparison of Neuro Fuzzy, Neural Network Artificial and Statistical Methods for Estimating Suspended Load Rivers (Case Study: Taleghan Basin Upstream)</VernacularTitle>
			<FirstPage>65</FirstPage>
			<LastPage>78</LastPage>
			<ELocationID EIdType="pii">61734</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61734</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amin</FirstName>
					<LastName>Zoratipour</LastName>
<Affiliation>Assistant Professor, Department of Range and Watershed
Management, Khuzestan Ramin Agriculture and Natural Resources University</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>07</Month>
					<Day>22</Day>
				</PubDate>
			</History>
		<Abstract>Abstract
Estimation of fine suspended load rivers is important in designing reserves, transition volume of&lt;br /&gt;sediment, and estimating lake pollution. Thus, some methods are needed for determining damages&lt;br /&gt;caused by sedimentations in environment and determining its effects on the watersheds. There are&lt;br /&gt;many methods for estimating suspended load, one of these methods that solves the problems of&lt;br /&gt;sediment discharge and can predict it is using Neuro fuzzy or ANFIS (Adaptive Network Fuzzy&lt;br /&gt;Inference System), and ANN (Artificial Neural Network) methods. These make a function between&lt;br /&gt;sediment and simultaneous discharge by use of different algorithms. The goal of this research is&lt;br /&gt;comparing the effectiveness of Neuro fuzzy, neural network artificial and statistical methods for&lt;br /&gt;estimating suspended load river in Glinak station of Taleghan Basin. It was found out that&lt;br /&gt;suspended load estimations of Nero fuzzy method with MAE 1006 ton/day, and correlation&lt;br /&gt;efficiency (R) 77%, RMSE 2621 ton/day and Nash-Sutcliff error (NS) 0.51 is better than Neural&lt;br /&gt;Network Artificial and Statistical methods and Artificial Neural Network method rather than&lt;br /&gt;Statistical Method are more proper. Also, contracting both neural networks artificial to fuzzy laws&lt;br /&gt;can be illustrated better than other methods, variation of sediment Load River. One more merit of&lt;br /&gt;this method is that it is not sensitive to few errors in early statistical data and this fact enables better&lt;br /&gt;estimation of neural network model in comparison with statistical model. Finally, Neuro fuzzy&lt;br /&gt;method works better as the percent of train data to test data increases.</Abstract>
			<OtherAbstract Language="FA">Abstract
Estimation of fine suspended load rivers is important in designing reserves, transition volume of&lt;br /&gt;sediment, and estimating lake pollution. Thus, some methods are needed for determining damages&lt;br /&gt;caused by sedimentations in environment and determining its effects on the watersheds. There are&lt;br /&gt;many methods for estimating suspended load, one of these methods that solves the problems of&lt;br /&gt;sediment discharge and can predict it is using Neuro fuzzy or ANFIS (Adaptive Network Fuzzy&lt;br /&gt;Inference System), and ANN (Artificial Neural Network) methods. These make a function between&lt;br /&gt;sediment and simultaneous discharge by use of different algorithms. The goal of this research is&lt;br /&gt;comparing the effectiveness of Neuro fuzzy, neural network artificial and statistical methods for&lt;br /&gt;estimating suspended load river in Glinak station of Taleghan Basin. It was found out that&lt;br /&gt;suspended load estimations of Nero fuzzy method with MAE 1006 ton/day, and correlation&lt;br /&gt;efficiency (R) 77%, RMSE 2621 ton/day and Nash-Sutcliff error (NS) 0.51 is better than Neural&lt;br /&gt;Network Artificial and Statistical methods and Artificial Neural Network method rather than&lt;br /&gt;Statistical Method are more proper. Also, contracting both neural networks artificial to fuzzy laws&lt;br /&gt;can be illustrated better than other methods, variation of sediment Load River. One more merit of&lt;br /&gt;this method is that it is not sensitive to few errors in early statistical data and this fact enables better&lt;br /&gt;estimation of neural network model in comparison with statistical model. Finally, Neuro fuzzy&lt;br /&gt;method works better as the percent of train data to test data increases.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Neuro fuzzy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Artificial Neural Network</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Suspended Load</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Statistical Method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Taleghan</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61734_bb3aba3afb5589bbc7caeb260ddf89a7.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Mineralogy Investigation of Sediments of Riverbed in Shafarood Watershed, Gilan Province for Determining the Rate of Erosion and Sedimentation</ArticleTitle>
<VernacularTitle>Mineralogy Investigation of Sediments of Riverbed in Shafarood Watershed, Gilan Province for Determining the Rate of Erosion and Sedimentation</VernacularTitle>
			<FirstPage>79</FirstPage>
			<LastPage>92</LastPage>
			<ELocationID EIdType="pii">61735</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61735</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mohammad</FirstName>
					<LastName>Rostamtabar</LastName>
<Affiliation>M.s. Student of Sedimentology, Islamic Azad University,
Science and Researches Branch, Tehran, I.R.IAN</Affiliation>

</Author>
<Author>
					<FirstName>Sadat</FirstName>
					<LastName>Feiznia</LastName>
<Affiliation>Professor, Reclamation of Arid and Mountainous Areas, Faculty of Natural Resources, University of Tehran, I.R.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Ziaodin</FirstName>
					<LastName>Shoaii</LastName>
<Affiliation>Associate Professor, Soil Conservation and Watershed Research
Center, I.R.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>02</Month>
					<Day>16</Day>
				</PubDate>
			</History>
		<Abstract>More accurate understanding of rock formations and sedimentary units sensitive to erosion will&lt;br /&gt;enable us to present appropriate and timely methods in order to prevent accelerated erosion. In this&lt;br /&gt;study, through predefined sampling from main and minor channels and granulometric analysis&lt;br /&gt;using index sieves, mineralogical investigation has been performed qualitatively and quantitatively&lt;br /&gt;by binoculars in laboratory. After that, sedimentation potential has been calculated by using&lt;br /&gt;practical formulas. Then, sedimentation potential of each sedimentary unit has been estimated from&lt;br /&gt;average results of sedimentary sample and with this method, sedimentation potential of Shafarood&lt;br /&gt;Watershed has been obtained from average results of five sub basins. An equation has been&lt;br /&gt;calculated for each sub basin and by this, an equation for whole watershed was presented. In this&lt;br /&gt;equation, the Y which refers to the amount of delivered sediments has been placed in one side and&lt;br /&gt;rock unit coefficients on the other side. The coefficient of each rock unit has a rule in sediment&lt;br /&gt;production. These coefficients are dimensionless and demonstrate rock unit sensitivity to erosion.&lt;br /&gt;The bigger this value, the more sensitive that rock unit is to erosion. In this way, the map of&lt;br /&gt;sensitivity to erosion for each sub basin has been prepared by using (ARC GIS) software.&lt;br /&gt;According to average sedimentation potential of Shafarood Watershed, marl units (Pgf), silty sandy&lt;br /&gt;shale (Jsh) and sandy limestone (Kusl), have respectively the highest sensitivity and limestone units&lt;br /&gt;(P), andesite - basalt (Pev) and tuffy shale (V) have the least sensitivity to the erosion.</Abstract>
			<OtherAbstract Language="FA">More accurate understanding of rock formations and sedimentary units sensitive to erosion will&lt;br /&gt;enable us to present appropriate and timely methods in order to prevent accelerated erosion. In this&lt;br /&gt;study, through predefined sampling from main and minor channels and granulometric analysis&lt;br /&gt;using index sieves, mineralogical investigation has been performed qualitatively and quantitatively&lt;br /&gt;by binoculars in laboratory. After that, sedimentation potential has been calculated by using&lt;br /&gt;practical formulas. Then, sedimentation potential of each sedimentary unit has been estimated from&lt;br /&gt;average results of sedimentary sample and with this method, sedimentation potential of Shafarood&lt;br /&gt;Watershed has been obtained from average results of five sub basins. An equation has been&lt;br /&gt;calculated for each sub basin and by this, an equation for whole watershed was presented. In this&lt;br /&gt;equation, the Y which refers to the amount of delivered sediments has been placed in one side and&lt;br /&gt;rock unit coefficients on the other side. The coefficient of each rock unit has a rule in sediment&lt;br /&gt;production. These coefficients are dimensionless and demonstrate rock unit sensitivity to erosion.&lt;br /&gt;The bigger this value, the more sensitive that rock unit is to erosion. In this way, the map of&lt;br /&gt;sensitivity to erosion for each sub basin has been prepared by using (ARC GIS) software.&lt;br /&gt;According to average sedimentation potential of Shafarood Watershed, marl units (Pgf), silty sandy&lt;br /&gt;shale (Jsh) and sandy limestone (Kusl), have respectively the highest sensitivity and limestone units&lt;br /&gt;(P), andesite - basalt (Pev) and tuffy shale (V) have the least sensitivity to the erosion.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Sediment mineralogy</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Predefined sampling</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Index sieves</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Binoculars</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rock units</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sedimentation potential</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sensitivity to erosion</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61735_2c342ea1d7b0e17d2b55864dbc21c7a8.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Aassessment of Development Impacts in Land Use and Land Price Changes (Case Study: Taleghan Dam)</ArticleTitle>
<VernacularTitle>Aassessment of Development Impacts in Land Use and Land Price Changes (Case Study: Taleghan Dam)</VernacularTitle>
			<FirstPage>93</FirstPage>
			<LastPage>106</LastPage>
			<ELocationID EIdType="pii">61736</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61736</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Sakine</FirstName>
					<LastName>Saedi</LastName>
<Affiliation>Msc Graduate of Rangeland Management, Faculty of Natural Resources,
University of Tehran, Karaj, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Ali Akbar</FirstName>
					<LastName>Mehrabi</LastName>
<Affiliation>Professor of Watershed Management, Faculty of Agriculture and
Natural Resources, Science and Research Branch, Islamic Azad University, Tehran, I.R.
Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Tavili</LastName>
<Affiliation>Associate Professor, Faculty of Natural Resources, University of Tehran,
Karaj, I.R. Iran.</Affiliation>

</Author>
<Author>
					<FirstName>Seideh</FirstName>
					<LastName>Heydari</LastName>
<Affiliation>Msc. Faculty of Natural Resources, University of Tehran, Karaj, I.R.
Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>01</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>Development impact assessment is key to achieving a comprehensive planning aligned with land&lt;br /&gt;sustainability. In human and natural systems studies, changes can be simultaneously examined in&lt;br /&gt;two different systems. The purpose of this paper is to understand the effects of dam construction on&lt;br /&gt;land prices and land use change in nearby villages of Taleghan Dam. Descriptive - qualitative&lt;br /&gt;statistics were used in this research and library and field methods were used for collecting the&lt;br /&gt;required information. In order to specify the land value of the four villages of the area of the dam&lt;br /&gt;for four decaes, based on the prices of the year 1390, the land vlue formula was applied. Also, TM&lt;br /&gt;satellite images of 1379 and 1386 were used for pinpointing land use changes. The results of these&lt;br /&gt;studies indicate that dam construction in 1380s and 1390s increased land price significantly and&lt;br /&gt;changes in land price affected upon land use changes in nearby villages of dam and the price of land&lt;br /&gt;in the Zydasht village overlooking the dam increased dramatically.Based on the results of this&lt;br /&gt;research, it can be stated that the dynamics of the land use of the area was affected by land price&lt;br /&gt;that for achieving sustainability in the watershed, an effective law must be enforced to prevent land&lt;br /&gt;degradation and control land prices.</Abstract>
			<OtherAbstract Language="FA">Development impact assessment is key to achieving a comprehensive planning aligned with land&lt;br /&gt;sustainability. In human and natural systems studies, changes can be simultaneously examined in&lt;br /&gt;two different systems. The purpose of this paper is to understand the effects of dam construction on&lt;br /&gt;land prices and land use change in nearby villages of Taleghan Dam. Descriptive - qualitative&lt;br /&gt;statistics were used in this research and library and field methods were used for collecting the&lt;br /&gt;required information. In order to specify the land value of the four villages of the area of the dam&lt;br /&gt;for four decaes, based on the prices of the year 1390, the land vlue formula was applied. Also, TM&lt;br /&gt;satellite images of 1379 and 1386 were used for pinpointing land use changes. The results of these&lt;br /&gt;studies indicate that dam construction in 1380s and 1390s increased land price significantly and&lt;br /&gt;changes in land price affected upon land use changes in nearby villages of dam and the price of land&lt;br /&gt;in the Zydasht village overlooking the dam increased dramatically.Based on the results of this&lt;br /&gt;research, it can be stated that the dynamics of the land use of the area was affected by land price&lt;br /&gt;that for achieving sustainability in the watershed, an effective law must be enforced to prevent land&lt;br /&gt;degradation and control land prices.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">development impact assessment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">sustainability of land</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">land use changes</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">land prices and Taleghan Dam</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61736_083c1222b827210448ba4d8bda1506cd.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Developing a Decision Support System for Evaluating and Managing Rangeland Ecosystems (Case Study: Semi-Steppe Rangelands of Feridan- Isfahan)</ArticleTitle>
<VernacularTitle>Developing a Decision Support System for Evaluating and Managing Rangeland Ecosystems (Case Study: Semi-Steppe Rangelands of Feridan- Isfahan)</VernacularTitle>
			<FirstPage>107</FirstPage>
			<LastPage>123</LastPage>
			<ELocationID EIdType="pii">61737</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61737</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Nima</FirstName>
					<LastName>Shakeri Boroujeni</LastName>
<Affiliation>Master of Science in Range Management, Department of
Natural Resources, Isfahan University of Technology, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Bashari</LastName>
<Affiliation>Assistant Prof., Department of Natural Resources, Isfahan University
of Technology, Isfahan 84156-83111, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Tarkesh Esfahani</LastName>
<Affiliation>Department of Natural Resources, Isfahan University of
Technology, Isfahan 84156-83111, IR.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>12</Month>
					<Day>25</Day>
				</PubDate>
			</History>
		<Abstract>This study sought to develop a Decision Support System (DSS) for assisting range managers to&lt;br /&gt;detect range condition and make informed decisions about Feridan County rangelands. All plant&lt;br /&gt;species frequencies were measured in 31 range sites with various grazing histories using step point&lt;br /&gt;method. Four hundred points along four perpendiculars 30 meters transects were measured in each&lt;br /&gt;site and grazing indicator species were identified using grazing gradient analysis. The range&lt;br /&gt;conditions of the sites were determined by evaluating the frequencies of indicator species along&lt;br /&gt;grazing gradient using Resource Environment Data Information System (REDIS). The best&lt;br /&gt;management practices and ecological interpretation for each range condition classes were then&lt;br /&gt;inserted into the REDIS model. The end users can import the indicator species frequencies of a&lt;br /&gt;selected site into the REDIS model and obtain the required information about range condition class,&lt;br /&gt;ecological information and management options. According to the results, the frequencies of six&lt;br /&gt;range species in the study area can appropriately determine range condition classes quantitatively.&lt;br /&gt;The model performance was then evaluated by comparing the range condition classes of 12&lt;br /&gt;independent sites by REDIS model and ‘Four Factors’ method. The REDIS model had an accuracy&lt;br /&gt;of 91 percent. The mangers can save the condition position of a selected site along a condition&lt;br /&gt;gradient in REDIS model; hence they could simply monitor the range condition changes of the&lt;br /&gt;studied site.</Abstract>
			<OtherAbstract Language="FA">This study sought to develop a Decision Support System (DSS) for assisting range managers to&lt;br /&gt;detect range condition and make informed decisions about Feridan County rangelands. All plant&lt;br /&gt;species frequencies were measured in 31 range sites with various grazing histories using step point&lt;br /&gt;method. Four hundred points along four perpendiculars 30 meters transects were measured in each&lt;br /&gt;site and grazing indicator species were identified using grazing gradient analysis. The range&lt;br /&gt;conditions of the sites were determined by evaluating the frequencies of indicator species along&lt;br /&gt;grazing gradient using Resource Environment Data Information System (REDIS). The best&lt;br /&gt;management practices and ecological interpretation for each range condition classes were then&lt;br /&gt;inserted into the REDIS model. The end users can import the indicator species frequencies of a&lt;br /&gt;selected site into the REDIS model and obtain the required information about range condition class,&lt;br /&gt;ecological information and management options. According to the results, the frequencies of six&lt;br /&gt;range species in the study area can appropriately determine range condition classes quantitatively.&lt;br /&gt;The model performance was then evaluated by comparing the range condition classes of 12&lt;br /&gt;independent sites by REDIS model and ‘Four Factors’ method. The REDIS model had an accuracy&lt;br /&gt;of 91 percent. The mangers can save the condition position of a selected site along a condition&lt;br /&gt;gradient in REDIS model; hence they could simply monitor the range condition changes of the&lt;br /&gt;studied site.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">decision support system</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Indicator Species</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">grazing gradient</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Resource Environment Data Information System</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61737_661dc14fe0cbe295dfd6f16241133191.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Investigation of the Effect of Storm Occurrence Time on Prioritization of Factors Affecting on Erosion Using WEPP Model Sensitivity Analysis (Case Study: Shanganeh Watershed, Khorasan Razavi Province)</ArticleTitle>
<VernacularTitle>Investigation of the Effect of Storm Occurrence Time on Prioritization of Factors Affecting on Erosion Using WEPP Model Sensitivity Analysis (Case Study: Shanganeh Watershed, Khorasan Razavi Province)</VernacularTitle>
			<FirstPage>125</FirstPage>
			<LastPage>140</LastPage>
			<ELocationID EIdType="pii">61738</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61738</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Talebi</LastName>
<Affiliation>Associated Prof., Faculty of Natural Resources and Desert Studies,
University of Yazd, I.I.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Shahrbanoo</FirstName>
					<LastName>Abbasi Jondani</LastName>
<Affiliation>Ph.D. Student of Watershed Management, Faculty of
Natural Resources, University of Tehran, I.I.IRAN.</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>11</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>WEPP model needs a great deal of input data. Identifying the model’s sensitive parameters and&lt;br /&gt;their prioritization increases the accuracy and efficiency of the model. On the other hand, WEPP&lt;br /&gt;model can simulate processes affecting on runoff, erosion and sediment throughout the year. Thus,&lt;br /&gt;model sensitivity must vary based on the storm occurrence time and parameters value in different&lt;br /&gt;sections of the year. To prove this assumption, two spring and autumn storm events related to 2008&lt;br /&gt;were selected and sensitivity analysis of the WEPP model was done in three plots with different&lt;br /&gt;conditions in Sanganeh watershed. For sensitivity analysis, the OAT method was used and&lt;br /&gt;sensitivity degree of parameters was calculated. Obtained results show that the rate of sand is the&lt;br /&gt;most sensitive parameter of WEPP model. This parameter was followed by other parameters like&lt;br /&gt;clay percent, effective hydraulic conductivity, height and intensity of rainfall, day degree of&lt;br /&gt;growing, growing season and percent of growing season when leaf area index decreases. Most&lt;br /&gt;variations are observed in prioritization of sensitive parameter in the plant/ management file. In&lt;br /&gt;most cases, sensitivity degree of these parameters in autumn event comparing to the spring event&lt;br /&gt;has significantly reduced in all plots. In general, obtained results show that the rate of sensitivity of&lt;br /&gt;the WEPP model to different parameters varies during the time. Hence, for using this complex&lt;br /&gt;model in regions with data limitation, the user must be aware to this issue that regarding storm time,&lt;br /&gt;which parameter is more sensitive in the pilot area and need to be carefully measured in the field.</Abstract>
			<OtherAbstract Language="FA">WEPP model needs a great deal of input data. Identifying the model’s sensitive parameters and&lt;br /&gt;their prioritization increases the accuracy and efficiency of the model. On the other hand, WEPP&lt;br /&gt;model can simulate processes affecting on runoff, erosion and sediment throughout the year. Thus,&lt;br /&gt;model sensitivity must vary based on the storm occurrence time and parameters value in different&lt;br /&gt;sections of the year. To prove this assumption, two spring and autumn storm events related to 2008&lt;br /&gt;were selected and sensitivity analysis of the WEPP model was done in three plots with different&lt;br /&gt;conditions in Sanganeh watershed. For sensitivity analysis, the OAT method was used and&lt;br /&gt;sensitivity degree of parameters was calculated. Obtained results show that the rate of sand is the&lt;br /&gt;most sensitive parameter of WEPP model. This parameter was followed by other parameters like&lt;br /&gt;clay percent, effective hydraulic conductivity, height and intensity of rainfall, day degree of&lt;br /&gt;growing, growing season and percent of growing season when leaf area index decreases. Most&lt;br /&gt;variations are observed in prioritization of sensitive parameter in the plant/ management file. In&lt;br /&gt;most cases, sensitivity degree of these parameters in autumn event comparing to the spring event&lt;br /&gt;has significantly reduced in all plots. In general, obtained results show that the rate of sensitivity of&lt;br /&gt;the WEPP model to different parameters varies during the time. Hence, for using this complex&lt;br /&gt;model in regions with data limitation, the user must be aware to this issue that regarding storm time,&lt;br /&gt;which parameter is more sensitive in the pilot area and need to be carefully measured in the field.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">WEPP hillslope model</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sensitivity analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">OAT method</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sensitivity Degree</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Prioritization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Sanganeh Watershed</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61738_d024f2169b2fed3ab5613f1335dfdad6.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Drought Monitoring Using Vegetation Index (NDVI) (Case study: Rangelands of Ilam Province)</ArticleTitle>
<VernacularTitle>Drought Monitoring Using Vegetation Index (NDVI) (Case study: Rangelands of Ilam Province)</VernacularTitle>
			<FirstPage>141</FirstPage>
			<LastPage>154</LastPage>
			<ELocationID EIdType="pii">61739</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61739</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Leila</FirstName>
					<LastName>Fazel Dehkordi</LastName>
<Affiliation>Ph.D. Graduate of Rangeland Management, Faculty of
Natural Resources, University of Tehran, Karaj, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Hossein</FirstName>
					<LastName>Azarnivand</LastName>
<Affiliation>Professor, Faculty of Natural Resources, University of
Tehran, Karaj, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Ali</FirstName>
					<LastName>Zare Chahouki</LastName>
<Affiliation>Associate Professor, Faculty of Natural
Resources, University of Tehran, Karaj, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Farhad</FirstName>
					<LastName>Mahmoudi Kohan</LastName>
<Affiliation>M.Sc. Graduate of Remote Sensing, University of
Kerman, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Shahram</FirstName>
					<LastName>Khalighi Sigaroudi</LastName>
<Affiliation>Assistant Professor, Faculty of Natural Resources,
University of Tehran, Karaj, I.R. Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>06</Month>
					<Day>02</Day>
				</PubDate>
			</History>
		<Abstract>To identify an appropriate index for monitoring and evaluation of drought, rainfall data obtained&lt;br /&gt;from meteorological stations of Ilam Province from 2000 to 2011 and MODIS satellite images with&lt;br /&gt;16-day intervals were collected and processed. The Standardized Precipitation Index (SPI) was&lt;br /&gt;calculated based on rainfall data; therefore, the rainfall data were used for measuring SPI and&lt;br /&gt;satellite images were used for calculating NDVI. Also, the percentages of canopy cover in range&lt;br /&gt;types were selected from the information of the National Evaluation of rangelands in different&lt;br /&gt;climatic zones. The correlation between SPI and NDVI and also canopy cover and NDVI was&lt;br /&gt;examined. The relationship between vegetation index (NDVI) and SPI was determined by&lt;br /&gt;regression. The results of SPI showed that in 2000 a severe drought and in 2006 a medium wet&lt;br /&gt;occurred in rangelands of Ilam Province. NDVI value variations have as well confirmed it. The&lt;br /&gt;results showed that NDVI and life form (annual forb and annual grass) has the highest percentage of&lt;br /&gt;correlation. Also examining of result showed that most correlation of SPI and NDVI was in 3 and 6-&lt;br /&gt;months intervals. Evaluation of regression models performance in range types described that&lt;br /&gt;models in 3 and 6- months intervals was suitable for monitoring drought. The result of regression&lt;br /&gt;confirmed that NDVI was an appropriate index for monitoring and assessment of drought.</Abstract>
			<OtherAbstract Language="FA">To identify an appropriate index for monitoring and evaluation of drought, rainfall data obtained&lt;br /&gt;from meteorological stations of Ilam Province from 2000 to 2011 and MODIS satellite images with&lt;br /&gt;16-day intervals were collected and processed. The Standardized Precipitation Index (SPI) was&lt;br /&gt;calculated based on rainfall data; therefore, the rainfall data were used for measuring SPI and&lt;br /&gt;satellite images were used for calculating NDVI. Also, the percentages of canopy cover in range&lt;br /&gt;types were selected from the information of the National Evaluation of rangelands in different&lt;br /&gt;climatic zones. The correlation between SPI and NDVI and also canopy cover and NDVI was&lt;br /&gt;examined. The relationship between vegetation index (NDVI) and SPI was determined by&lt;br /&gt;regression. The results of SPI showed that in 2000 a severe drought and in 2006 a medium wet&lt;br /&gt;occurred in rangelands of Ilam Province. NDVI value variations have as well confirmed it. The&lt;br /&gt;results showed that NDVI and life form (annual forb and annual grass) has the highest percentage of&lt;br /&gt;correlation. Also examining of result showed that most correlation of SPI and NDVI was in 3 and 6-&lt;br /&gt;months intervals. Evaluation of regression models performance in range types described that&lt;br /&gt;models in 3 and 6- months intervals was suitable for monitoring drought. The result of regression&lt;br /&gt;confirmed that NDVI was an appropriate index for monitoring and assessment of drought.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Drought</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Standardized Precipitation Index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Normalized difference vegetation index</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Regression</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ilam</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rangeland</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61739_43b89a846b7d4af4b2ae0d87f7b7e093.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Analysis of Policy Network and Organizational Cohesion of the Stakeholders of Natural Resources of Semnan Province</ArticleTitle>
<VernacularTitle>Analysis of Policy Network and Organizational Cohesion of the Stakeholders of Natural Resources of Semnan Province</VernacularTitle>
			<FirstPage>155</FirstPage>
			<LastPage>166</LastPage>
			<ELocationID EIdType="pii">61740</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61740</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Ghorbani</LastName>
<Affiliation>Assistant Prof., Faculty of Natural Resources, University of Tehran,
I.I.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Vahid</FirstName>
					<LastName>Jafarian</LastName>
<Affiliation>Ph.D. Student, Faculty of Desert Science, Semnan University,
I.I.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Mohammad Reza</FirstName>
					<LastName>Yazdani</LastName>
<Affiliation>Assistant Prof., Faculty of Desert Science, Semnan University, I.I.IRAN.</Affiliation>

</Author>
<Author>
					<FirstName>Mahsa</FirstName>
					<LastName>Abdolshahnejad</LastName>
<Affiliation>Ph.D. Student, Faculty of Desert Science, University of
Tehran,I.I.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>01</Month>
					<Day>07</Day>
				</PubDate>
			</History>
		<Abstract>Achieving integrated natural resource management fundamentally needs effective and coordinated&lt;br /&gt;relationship, collaboration, and synergy among various actors who have common but different&lt;br /&gt;responsibilities. In this sense, the foundation of comprehensive and integrated management is not&lt;br /&gt;compatible with centralization and top-down strategies. The aim of this paper is analysis of network&lt;br /&gt;and organizational cohesion of natural resources stakeholders in Semnan province. In this study,&lt;br /&gt;relations of existing organizations within the network have been investigated based on interorganizational&lt;br /&gt;information transfer and collaboration through social network analysis method and&lt;br /&gt;applying macro-level and middle indexes of institutional network including; the network size,&lt;br /&gt;density, ties reciprocity, and centralization at macro-level and core-periphery index at middle level.&lt;br /&gt;Policy monitoring emphasized in present paper’s title refers to this question that how successfully&lt;br /&gt;natural resource integrated management policies have been realized at least within the fourth and&lt;br /&gt;fifth development programs. Therefore, present study is an attempt to address this question&lt;br /&gt;quantitatively and relying on the results of indexes of structural analysis of natural resource&lt;br /&gt;stakeholders’ network in the pilot area. The results of this study indicate that institutional cohesion&lt;br /&gt;is 40 percent (poor) and sustainability of institutional network based on reciprocity is about 47&lt;br /&gt;percent (medium). Additionally the core-periphery index showed that the density of institutional&lt;br /&gt;network of Semnan province in core actors’ subgroup is 77 percent and in periphery actors’&lt;br /&gt;subgroup is 25 percent. Research findings identify existing capacities for applyin integrated natural&lt;br /&gt;resources management and reveal the necessity of reducing network centralization and&lt;br /&gt;strengthening the relationship among various stakeholders of this section.</Abstract>
			<OtherAbstract Language="FA">Achieving integrated natural resource management fundamentally needs effective and coordinated&lt;br /&gt;relationship, collaboration, and synergy among various actors who have common but different&lt;br /&gt;responsibilities. In this sense, the foundation of comprehensive and integrated management is not&lt;br /&gt;compatible with centralization and top-down strategies. The aim of this paper is analysis of network&lt;br /&gt;and organizational cohesion of natural resources stakeholders in Semnan province. In this study,&lt;br /&gt;relations of existing organizations within the network have been investigated based on interorganizational&lt;br /&gt;information transfer and collaboration through social network analysis method and&lt;br /&gt;applying macro-level and middle indexes of institutional network including; the network size,&lt;br /&gt;density, ties reciprocity, and centralization at macro-level and core-periphery index at middle level.&lt;br /&gt;Policy monitoring emphasized in present paper’s title refers to this question that how successfully&lt;br /&gt;natural resource integrated management policies have been realized at least within the fourth and&lt;br /&gt;fifth development programs. Therefore, present study is an attempt to address this question&lt;br /&gt;quantitatively and relying on the results of indexes of structural analysis of natural resource&lt;br /&gt;stakeholders’ network in the pilot area. The results of this study indicate that institutional cohesion&lt;br /&gt;is 40 percent (poor) and sustainability of institutional network based on reciprocity is about 47&lt;br /&gt;percent (medium). Additionally the core-periphery index showed that the density of institutional&lt;br /&gt;network of Semnan province in core actors’ subgroup is 77 percent and in periphery actors’&lt;br /&gt;subgroup is 25 percent. Research findings identify existing capacities for applyin integrated natural&lt;br /&gt;resources management and reveal the necessity of reducing network centralization and&lt;br /&gt;strengthening the relationship among various stakeholders of this section.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">organizational cohesion</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">network analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Decentralization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">integrated natural resources management</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Semnan Province</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61740_06f16bc50aa49090f274ae64127be628.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Assessment of Forest Roads Sediment Yield using WARSEM, SEDMODL and Direct Measurement through Rainfall Simulation</ArticleTitle>
<VernacularTitle>Assessment of Forest Roads Sediment Yield using WARSEM, SEDMODL and Direct Measurement through Rainfall Simulation</VernacularTitle>
			<FirstPage>167</FirstPage>
			<LastPage>186</LastPage>
			<ELocationID EIdType="pii">61742</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61742</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Ataollah</FirstName>
					<LastName>Kavian</LastName>
<Affiliation>Associate Professor, Department of Watershed Management
Engineering, Sari Agricultural Sciences and Natural Resources University, Sari, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Atta</FirstName>
					<LastName>Safari</LastName>
<Affiliation>PhD Student, Department of Watershed Management Engineering, Sari
Agricultural Sciences and Natural Resources University, Sari, I.R. Iran</Affiliation>

</Author>
<Author>
					<FirstName>Aidin</FirstName>
					<LastName>Parsakhoo</LastName>
<Affiliation>Assistant Professor, Department of Forestry, Gorgan Agricultural
Sciences and Natural Resources University, Gorgan, I.R. Iran</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>03</Month>
					<Day>13</Day>
				</PubDate>
			</History>
		<Abstract>In this study, the sediment yield of forest roads of Darabkola watershed was investigated and&lt;br /&gt;estimated using WARSEM and SEDMODEL. Rainfall simulator was applied to measure the&lt;br /&gt;sediment of abovementioned roads directly. In order to apply WARSEM and SEDMODEL models,&lt;br /&gt;field operations for measurement of different parameters including road length and width, height&lt;br /&gt;and coverage of road cut-slope, road longitudinal slope, shape and configuration of the road, road&lt;br /&gt;surface, and etc. were carried out in 63 different segments of the path of forest roads in the study&lt;br /&gt;area as 11979 meters long. Then sediment yield of roads was measured by rainfall simulator with&lt;br /&gt;nozzle of 3 meters high and plot of 2 square meters. Results of the WARSEM and SEDMODL&lt;br /&gt;models and rainfall simulation showed that sediment yield of forest roads are equal to 9.918, 5.109,&lt;br /&gt;and 4.141 kg/m2/year, respectively. Results also showed that there was no significant difference&lt;br /&gt;between sediment yield of rainfall simulation and SEDMODEL at significance level of %95. It was&lt;br /&gt;also revealed that SEDMODL is more suitable for estimating sediment yield of forest road with&lt;br /&gt;values of RD, MD, BIAS, RE and RMSE equal to 21.42, 4.54, 0.04, 17.59 and 0.71, respectively.</Abstract>
			<OtherAbstract Language="FA">In this study, the sediment yield of forest roads of Darabkola watershed was investigated and&lt;br /&gt;estimated using WARSEM and SEDMODEL. Rainfall simulator was applied to measure the&lt;br /&gt;sediment of abovementioned roads directly. In order to apply WARSEM and SEDMODEL models,&lt;br /&gt;field operations for measurement of different parameters including road length and width, height&lt;br /&gt;and coverage of road cut-slope, road longitudinal slope, shape and configuration of the road, road&lt;br /&gt;surface, and etc. were carried out in 63 different segments of the path of forest roads in the study&lt;br /&gt;area as 11979 meters long. Then sediment yield of roads was measured by rainfall simulator with&lt;br /&gt;nozzle of 3 meters high and plot of 2 square meters. Results of the WARSEM and SEDMODL&lt;br /&gt;models and rainfall simulation showed that sediment yield of forest roads are equal to 9.918, 5.109,&lt;br /&gt;and 4.141 kg/m2/year, respectively. Results also showed that there was no significant difference&lt;br /&gt;between sediment yield of rainfall simulation and SEDMODEL at significance level of %95. It was&lt;br /&gt;also revealed that SEDMODL is more suitable for estimating sediment yield of forest road with&lt;br /&gt;values of RD, MD, BIAS, RE and RMSE equal to 21.42, 4.54, 0.04, 17.59 and 0.71, respectively.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Sediment yield</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Forest roads</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rainfall simulator</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">WARSEM</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">SEDMODL</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61742_9f1a67042f648291db96f95aea19b2e9.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Applying Landscape Function Analysis Method in Order to Assess the Ecological Function of Plant Patches in Rangeland Management Treatments (Pilot: Kojour Noshahr Rangelands)</ArticleTitle>
<VernacularTitle>Applying Landscape Function Analysis Method in Order to Assess the Ecological Function of Plant Patches in Rangeland Management Treatments (Pilot: Kojour Noshahr Rangelands)</VernacularTitle>
			<FirstPage>187</FirstPage>
			<LastPage>199</LastPage>
			<ELocationID EIdType="pii">61743</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61743</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Sana</FirstName>
					<LastName>Mohebbi</LastName>
<Affiliation>Tarbiat Modares University, Faculty of Natural Resources</Affiliation>

</Author>
<Author>
					<FirstName>Ghasem Ali</FirstName>
					<LastName>Dianati Tilaki</LastName>
<Affiliation>Tarbiat Modares University, Faculty of Natural Resources</Affiliation>

</Author>
<Author>
					<FirstName>Mehdi</FirstName>
					<LastName>Abedi</LastName>
<Affiliation>Tarbiat Modares University, Faculty of Natural Resources</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>07</Month>
					<Day>28</Day>
				</PubDate>
			</History>
		<Abstract>Assessment of rangeland ecological characteristics have been proposed as an important factor in&lt;br /&gt;reviewing and monitoring the effects of various management measures and it demands different&lt;br /&gt;tools for quantifying and offering a reasonable criterion for comparison of different managements.&lt;br /&gt;For this purpose, the Landscape Function Analysis (LFA) method is capable of displaying the&lt;br /&gt;structural and functional status of pastureland with considering the basic and simple indicators and&lt;br /&gt;it can be resorted to as a basis for selecting optimal and sustainable management. In this study, it&lt;br /&gt;was found out that among different types of pasture management in Kojour Noshahr including;&lt;br /&gt;exclosure, grazing, plowing and planting management - in almost identical conditions regarding&lt;br /&gt;plant types, animal types, soil, geology, and climate the exclosure management was significantly&lt;br /&gt;(P&lt;0/05) more favorable than other kinds of managements in terms of structural and functional&lt;br /&gt;features and it was followed by planting and grazing. Meanwhile, the plowed pastures were&lt;br /&gt;significantly unfavorable (P&lt;0/05) both in terms of structural features and functional characteristics.&lt;br /&gt;Therefore; exclosure can be a perfect option to protect rangeland resources in this region.</Abstract>
			<OtherAbstract Language="FA">Assessment of rangeland ecological characteristics have been proposed as an important factor in&lt;br /&gt;reviewing and monitoring the effects of various management measures and it demands different&lt;br /&gt;tools for quantifying and offering a reasonable criterion for comparison of different managements.&lt;br /&gt;For this purpose, the Landscape Function Analysis (LFA) method is capable of displaying the&lt;br /&gt;structural and functional status of pastureland with considering the basic and simple indicators and&lt;br /&gt;it can be resorted to as a basis for selecting optimal and sustainable management. In this study, it&lt;br /&gt;was found out that among different types of pasture management in Kojour Noshahr including;&lt;br /&gt;exclosure, grazing, plowing and planting management - in almost identical conditions regarding&lt;br /&gt;plant types, animal types, soil, geology, and climate the exclosure management was significantly&lt;br /&gt;(P&lt;0/05) more favorable than other kinds of managements in terms of structural and functional&lt;br /&gt;features and it was followed by planting and grazing. Meanwhile, the plowed pastures were&lt;br /&gt;significantly unfavorable (P&lt;0/05) both in terms of structural features and functional characteristics.&lt;br /&gt;Therefore; exclosure can be a perfect option to protect rangeland resources in this region.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Rangeland</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Health assessment</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ecological function</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">LFA</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Kojour Noshahr</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61743_61f0114a09d9f6dd741a24de04fa93c1.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Comparison of Effective Factors on Landslide Hazard in Two Spatial Scales through Multiple Regressions(Case Study: Taleghan Watershed)</ArticleTitle>
<VernacularTitle>Comparison of Effective Factors on Landslide Hazard in Two Spatial Scales through Multiple Regressions(Case Study: Taleghan Watershed)</VernacularTitle>
			<FirstPage>201</FirstPage>
			<LastPage>210</LastPage>
			<ELocationID EIdType="pii">61744</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61744</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Elham</FirstName>
					<LastName>Meshkati</LastName>
<Affiliation>M.Sc. Student of Watershed management, Islamic Azad University,
Science and Research Branch. Tehran, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Hassan</FirstName>
					<LastName>Ahmadi</LastName>
<Affiliation>Professor of Faculty of Natural Resources, Islamic Azad University,
Science and Research Branch-Tehran, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Aliakbar</FirstName>
					<LastName>Nazari Samani</LastName>
<Affiliation>Associated Professor, Faculty of Natural Resources,
University of Tehran., IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>M.H</FirstName>
					<LastName>Davoodi</LastName>
<Affiliation>Assistant Professor, Soil Conservation and Watershed
Management Research Institute, IR.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>04</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>Landslide occurs inevitably and naturally in many slopes due to sensitive formations, moisture, and&lt;br /&gt;other factors. Taleghan watershed is prone to landslide due to the presence of huge Miocene marl&lt;br /&gt;masses. After construction of Taleghan reservoir dam, moisture and ecological condition of the&lt;br /&gt;region changed. In this paper, factors impacting upon landslide hazard (slope, aspect, hypsometry,&lt;br /&gt;geology, land use, distance to road, distance to lake) were studied and their role and importance on&lt;br /&gt;this phenomenon were verified in a large (maximum distance of 1500 meter from lake) and a small&lt;br /&gt;(maximum distance of 450 meter from lake) spatial scale. Thus, GIS maps of the above mentioned&lt;br /&gt;parameters were provided using satellite and aerial images and field activities. All maps were&lt;br /&gt;crossed with a resolution of 100m*100m. It was found out that the distance to the lake didn’t&lt;br /&gt;influence upon landslide in a large spatial scale but it falls effective as the distance to the lake&lt;br /&gt;reduces. In fact lake has a local effect and mostly influences at maximum 200 meter distance.</Abstract>
			<OtherAbstract Language="FA">Landslide occurs inevitably and naturally in many slopes due to sensitive formations, moisture, and&lt;br /&gt;other factors. Taleghan watershed is prone to landslide due to the presence of huge Miocene marl&lt;br /&gt;masses. After construction of Taleghan reservoir dam, moisture and ecological condition of the&lt;br /&gt;region changed. In this paper, factors impacting upon landslide hazard (slope, aspect, hypsometry,&lt;br /&gt;geology, land use, distance to road, distance to lake) were studied and their role and importance on&lt;br /&gt;this phenomenon were verified in a large (maximum distance of 1500 meter from lake) and a small&lt;br /&gt;(maximum distance of 450 meter from lake) spatial scale. Thus, GIS maps of the above mentioned&lt;br /&gt;parameters were provided using satellite and aerial images and field activities. All maps were&lt;br /&gt;crossed with a resolution of 100m*100m. It was found out that the distance to the lake didn’t&lt;br /&gt;influence upon landslide in a large spatial scale but it falls effective as the distance to the lake&lt;br /&gt;reduces. In fact lake has a local effect and mostly influences at maximum 200 meter distance.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">landslide</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">multi-variate regression</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">hazard zonation</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Taleghan</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61744_6e1efe34d636f9028b42679826cc63cc.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Applying FTOPSIS in Prioritizing Biological Management Scenarios of Watershed Reources (Case study: Dare Nari Sarvestan Watershed, Fars)</ArticleTitle>
<VernacularTitle>Applying FTOPSIS in Prioritizing Biological Management Scenarios of Watershed Reources (Case study: Dare Nari Sarvestan Watershed, Fars)</VernacularTitle>
			<FirstPage>211</FirstPage>
			<LastPage>228</LastPage>
			<ELocationID EIdType="pii">61745</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61745</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Amir Reza</FirstName>
					<LastName>Keshtkar</LastName>
<Affiliation>Associate Professor, Desert Management Department,
International Desert Research Center (IDRC), University of Tehran, Karaj, I.R. IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Behnaz</FirstName>
					<LastName>Asefjah</LastName>
<Affiliation>Msc of Coexist With Desert, Desert Management Department,
International Desert Research Center (IDRC), University of Tehran, Karaj, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Yusef</FirstName>
					<LastName>Erfanifard</LastName>
<Affiliation>Asscociate Professor, Natural Resources and Environment
Engineering Department, Faculty of Agriculture, Shiraz University, I.R. IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Ali</FirstName>
					<LastName>Afzali</LastName>
<Affiliation>BSc of Desert Management, International Desert Research Center (IDRC),
University of Tehran, I.R. IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2015</Year>
					<Month>03</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>The development and implementation of practical natural resources and catchment management&lt;br /&gt;policies require a comprehensive knowledge of the system processes (biological, physical, and&lt;br /&gt;socio-economic), their complicated interactions, and how they react to different changes. The&lt;br /&gt;current research assessed the ecological, physical, and socio-economic consequences of&lt;br /&gt;biologically-based management scenarios targeting runoff and soil erosion problems in the&lt;br /&gt;Darenari catchment. The Darenari catchment with an approximate area of 554 ha is located in Fars&lt;br /&gt;province, Iran. Three biological activities and 8 management scenarios were considered. Ecological&lt;br /&gt;consequences were studied using the weighted land cover area index (WLCAI). Physical effects&lt;br /&gt;were investigated applying the runoff curve number (SCS-CN) hydrologic model. Economic and&lt;br /&gt;social effects were assessed applying the cost/benefit analysis as well as examining the outcomes of&lt;br /&gt;a social survey. Then, a fuzzy AHP approach was applied to weigh the criteria and ultimately, the&lt;br /&gt;best management option was chosen using FTOPSIS model. The results showed that social criteria&lt;br /&gt;with the highest weight and scenario No 8 was the best scenario and had first priority. The results&lt;br /&gt;idicated that the multi-criteria decision making techniques included capability of expressing&lt;br /&gt;different aspects of the problem and are the perfect tool for watershed resources management.</Abstract>
			<OtherAbstract Language="FA">The development and implementation of practical natural resources and catchment management&lt;br /&gt;policies require a comprehensive knowledge of the system processes (biological, physical, and&lt;br /&gt;socio-economic), their complicated interactions, and how they react to different changes. The&lt;br /&gt;current research assessed the ecological, physical, and socio-economic consequences of&lt;br /&gt;biologically-based management scenarios targeting runoff and soil erosion problems in the&lt;br /&gt;Darenari catchment. The Darenari catchment with an approximate area of 554 ha is located in Fars&lt;br /&gt;province, Iran. Three biological activities and 8 management scenarios were considered. Ecological&lt;br /&gt;consequences were studied using the weighted land cover area index (WLCAI). Physical effects&lt;br /&gt;were investigated applying the runoff curve number (SCS-CN) hydrologic model. Economic and&lt;br /&gt;social effects were assessed applying the cost/benefit analysis as well as examining the outcomes of&lt;br /&gt;a social survey. Then, a fuzzy AHP approach was applied to weigh the criteria and ultimately, the&lt;br /&gt;best management option was chosen using FTOPSIS model. The results showed that social criteria&lt;br /&gt;with the highest weight and scenario No 8 was the best scenario and had first priority. The results&lt;br /&gt;idicated that the multi-criteria decision making techniques included capability of expressing&lt;br /&gt;different aspects of the problem and are the perfect tool for watershed resources management.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Biologic management scenarios</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Dare Nari watershed</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Fuzzy Multiple-criteria decision making</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Watershed management</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61745_414eacec7cd418ff8de7526a6e157c96.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Vegetation Changes Procedure Inside and Outside of Exclosure in Tanglaybid Rangelands of Yazd Province (2000-2005)</ArticleTitle>
<VernacularTitle>Vegetation Changes Procedure Inside and Outside of Exclosure in Tanglaybid Rangelands of Yazd Province (2000-2005)</VernacularTitle>
			<FirstPage>229</FirstPage>
			<LastPage>244</LastPage>
			<ELocationID EIdType="pii">61776</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61776</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>AliB.</FirstName>
					<LastName>Mirgalili</LastName>
<Affiliation>Ph.D. Student of Rangeland Sciences, Faculty of Natural
Resources, Sari University of Agricultural Sciences &amp; Natural Resources, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>MohammadR.</FirstName>
					<LastName>Fazelpoor</LastName>
<Affiliation>Ph.D. of Watershed Management, Faculty of Natural
Resources of Yazd University, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Fariba</FirstName>
					<LastName>Zakizadeh</LastName>
<Affiliation>M.Sc. of Watershed Management, Faculty of Natural Resources of
Yazd University, IR.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2014</Year>
					<Month>05</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>Grazing animals affect rangeland vegetation structure and function both directly and indirectly.&lt;br /&gt;These effects can be assessed in exclosures. In this study, vegetation changes inside and outside of&lt;br /&gt;exclosures of Tanglaybid rangelands, located in south-western part of Yazd province, have been&lt;br /&gt;investigated. Vegetation changes study was carried out in 3 key areas inside and also 3 key areas&lt;br /&gt;outside of exclosure and lasted for 5 years (2000-2005). Every key area included 3 transects of 100&lt;br /&gt;meters long and 40 meters intervals. The transects were selected vertical to slope, including 10&lt;br /&gt;fixed plots (2×1 m2). Vegetation cover, density and frequency percentage of each plot species were&lt;br /&gt;measured annually. The random- systematic method was applied as a sampling method. Vegetation&lt;br /&gt;changes inside and outside of exclosure were assessed, in a completely random plan, applying&lt;br /&gt;Duncan&#039;s test (P &lt; 0.05). The results showed that vegetation cover percentages increased&lt;br /&gt;significantly (P &lt; 0.05), inside the exclosure comparing to outside of it. Mean coverage of annual&lt;br /&gt;and perennial grasses and also bushes, inside the exclosure comparing to its outside increased 47,&lt;br /&gt;38 and 7%, respectively. Thus, in present research, exclosure has positive effects on vegetation&lt;br /&gt;cover changes of several species. Frequency percentage results showed that there was no significant&lt;br /&gt;difference, inside against outside the exclosure in 2000, 2001, 2002, 2003, and 2004. Regarding&lt;br /&gt;density, there was significant difference only in 2001.The results can be considered in future&lt;br /&gt;management of the area&#039;s rangelands and similar regions throughout Iran</Abstract>
			<OtherAbstract Language="FA">Grazing animals affect rangeland vegetation structure and function both directly and indirectly.&lt;br /&gt;These effects can be assessed in exclosures. In this study, vegetation changes inside and outside of&lt;br /&gt;exclosures of Tanglaybid rangelands, located in south-western part of Yazd province, have been&lt;br /&gt;investigated. Vegetation changes study was carried out in 3 key areas inside and also 3 key areas&lt;br /&gt;outside of exclosure and lasted for 5 years (2000-2005). Every key area included 3 transects of 100&lt;br /&gt;meters long and 40 meters intervals. The transects were selected vertical to slope, including 10&lt;br /&gt;fixed plots (2×1 m2). Vegetation cover, density and frequency percentage of each plot species were&lt;br /&gt;measured annually. The random- systematic method was applied as a sampling method. Vegetation&lt;br /&gt;changes inside and outside of exclosure were assessed, in a completely random plan, applying&lt;br /&gt;Duncan&#039;s test (P &lt; 0.05). The results showed that vegetation cover percentages increased&lt;br /&gt;significantly (P &lt; 0.05), inside the exclosure comparing to outside of it. Mean coverage of annual&lt;br /&gt;and perennial grasses and also bushes, inside the exclosure comparing to its outside increased 47,&lt;br /&gt;38 and 7%, respectively. Thus, in present research, exclosure has positive effects on vegetation&lt;br /&gt;cover changes of several species. Frequency percentage results showed that there was no significant&lt;br /&gt;difference, inside against outside the exclosure in 2000, 2001, 2002, 2003, and 2004. Regarding&lt;br /&gt;density, there was significant difference only in 2001.The results can be considered in future&lt;br /&gt;management of the area&#039;s rangelands and similar regions throughout Iran</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Canopy cover</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Tanglaybid</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Grazing</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Exclosure</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Rangeland</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Yazd</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61776_de1e1eeb1a4c68b1b3ac469e8be18821.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Classification of Vegetation and Its Ordination Regaring Geologic, Physiographic and Edaphic Factors (Case Study: Manesht Protected Area, Ilam, Iran)</ArticleTitle>
<VernacularTitle>Classification of Vegetation and Its Ordination Regaring Geologic, Physiographic and Edaphic Factors (Case Study: Manesht Protected Area, Ilam, Iran)</VernacularTitle>
			<FirstPage>245</FirstPage>
			<LastPage>260</LastPage>
			<ELocationID EIdType="pii">61777</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.61777</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
<Author>
					<FirstName>Mostafa</FirstName>
					<LastName>Naderi</LastName>
<Affiliation>MSc. Student, Faculty of Natural Resources, Yazd University,
IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Asghar</FirstName>
					<LastName>Mosleh Arany</LastName>
<Affiliation>Associate Professor, Faculty of Natural Resources, Yazd
University, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Gholamhosein</FirstName>
					<LastName>Moradi</LastName>
<Affiliation>Assistent Professor, Faculty of Natural Resources, Yazd
University, IR.IRAN</Affiliation>

</Author>
<Author>
					<FirstName>Abdosalam</FirstName>
					<LastName>Piri</LastName>
<Affiliation>MSc., Natural Resources and Watershed Management Office of Ilam
Province.</Affiliation>

</Author>
<Author>
					<FirstName>Mehrdad</FirstName>
					<LastName>Kuhzadian</LastName>
<Affiliation>MSc., Natural Resources and Watershed Management Office of
Ilam province.</Affiliation>

</Author>
<Author>
					<FirstName>Hamid</FirstName>
					<LastName>Azimzadeh</LastName>
<Affiliation>Assistent Professor, Faculty of Natural Resources, Yazd
University, IR.IRAN</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2013</Year>
					<Month>11</Month>
					<Day>23</Day>
				</PubDate>
			</History>
		<Abstract>This research aimed at studying the vegetation and investigating the effects of physiographic,&lt;br /&gt;edaphic and geological factors upon distribution of plant communities in Manesht district in Ilam&lt;br /&gt;province. Sampling was done based on plant types and land unit map. The number of samples was&lt;br /&gt;determined by Krebs method. In total, 125 square sampling plots of 400 2 m area were selected by&lt;br /&gt;random systematic method. To determine soil factors, two soil samples (0–30, 30-90 cm deep) were&lt;br /&gt;collected from each land unit and physico-chemical parameters were measured. Using TWINSPAN,&lt;br /&gt;vegetation of study area was classified and then PCA and CCA were used to investigate the&lt;br /&gt;relationship between vegetation and environmental factors. Based on TWINSPAN, four vegetation&lt;br /&gt;groups were recognized. According to TWINSPAN results, four ecological groups were identified&lt;br /&gt;that first and second groups with 31 and 46 sample plots, respectively and by Quercus barantti,&lt;br /&gt;Crataegus pontica and Acer monspessulanum, as indicator species, are more calciphiles than&lt;br /&gt;another groups. The first three axes of the PCA accounted for 62.83%, 23.45% and 13.72% of the&lt;br /&gt;total plant cover variability, respectively. Also based on Mont Carlo analysis, first and second axes&lt;br /&gt;with 0.68 and 0.48 eigenvalue, accounted for 28% and 19% of the variability, respectively and the&lt;br /&gt;correlation coefficient of axes and species is 0.98. According to PCA and CCA, Formation, organic&lt;br /&gt;matter and lime were the most important factors on establishing of ecological groups.</Abstract>
			<OtherAbstract Language="FA">This research aimed at studying the vegetation and investigating the effects of physiographic,&lt;br /&gt;edaphic and geological factors upon distribution of plant communities in Manesht district in Ilam&lt;br /&gt;province. Sampling was done based on plant types and land unit map. The number of samples was&lt;br /&gt;determined by Krebs method. In total, 125 square sampling plots of 400 2 m area were selected by&lt;br /&gt;random systematic method. To determine soil factors, two soil samples (0–30, 30-90 cm deep) were&lt;br /&gt;collected from each land unit and physico-chemical parameters were measured. Using TWINSPAN,&lt;br /&gt;vegetation of study area was classified and then PCA and CCA were used to investigate the&lt;br /&gt;relationship between vegetation and environmental factors. Based on TWINSPAN, four vegetation&lt;br /&gt;groups were recognized. According to TWINSPAN results, four ecological groups were identified&lt;br /&gt;that first and second groups with 31 and 46 sample plots, respectively and by Quercus barantti,&lt;br /&gt;Crataegus pontica and Acer monspessulanum, as indicator species, are more calciphiles than&lt;br /&gt;another groups. The first three axes of the PCA accounted for 62.83%, 23.45% and 13.72% of the&lt;br /&gt;total plant cover variability, respectively. Also based on Mont Carlo analysis, first and second axes&lt;br /&gt;with 0.68 and 0.48 eigenvalue, accounted for 28% and 19% of the variability, respectively and the&lt;br /&gt;correlation coefficient of axes and species is 0.98. According to PCA and CCA, Formation, organic&lt;br /&gt;matter and lime were the most important factors on establishing of ecological groups.</OtherAbstract>
		<ObjectList>
			<Object Type="keyword">
			<Param Name="value">Canonical correspondence analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Manesht protected area</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">principal components analysis</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Two-Way Indicator Species Analysis</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_61777_cac828635a129dd514d89f7fa8c6835c.pdf</ArchiveCopySource>
</Article>

<Article>
<Journal>
				<PublisherName>University of Tehran</PublisherName>
				<JournalTitle>Journal of Range and Watershed Managment</JournalTitle>
				<Issn>5044-2008</Issn>
				<Volume>69</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2016</Year>
					<Month>05</Month>
					<Day>21</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Enlish Abstract</ArticleTitle>
<VernacularTitle>Enlish Abstract</VernacularTitle>
			<FirstPage>1</FirstPage>
			<LastPage>18</LastPage>
			<ELocationID EIdType="pii">58087</ELocationID>
			
<ELocationID EIdType="doi">10.22059/jrwm.2016.58087</ELocationID>
			
			<Language>FA</Language>
<AuthorList>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2016</Year>
					<Month>07</Month>
					<Day>19</Day>
				</PubDate>
			</History>
		<Abstract></Abstract>
			<OtherAbstract Language="FA"></OtherAbstract>
<ArchiveCopySource DocType="pdf">https://jrwm.ut.ac.ir/article_58087_802e89d45a2026d3eedce51a31e18977.pdf</ArchiveCopySource>
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