<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>1401</YEAR>
<VOL>11</VOL>
<NO>1</NO>
<MOSALSAL>39</MOSALSAL>
<PAGE_NO>96</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>بررسی وضعیت ذخیره ماهی ساردین سند (Sardinella sindensis Day, 1878) با استفاده از مدل صید-حداکثر محصول پایدار در آب‌های جنوبی ایران (خلیج فارس و دریای عمان)</TitleF>
		<TitleE>Investigation of Sardinella Sindensis (Day, 1878) Stock Status Using the Catch-Maximum Sustainable Yield Model in the Southern Waters of Iran (Persian Gulf and Oman Sea)</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>درمیان گونه&#8204;های مختلف ماهیان سطح&#8204;زی&#8204;ریز، گونه ساردین سند (Sardinella sindensis Day, 1878) یکی از مهم&#8204;ترین گونه&#8204;های اقتصادی مورد بهره&#8204;برداری توسط صیادان است. در سال&#8204;های اخیر، میزان صید این گونه افزایش یافته و با توجه به داده&#8204;های محدود، امکان استفاده از مدل&#8204;های مبنی بر داده&#8204;های تکمیلی برای ارزیابی ذخایر آن وجود ندارد. در مطالعه حاضر، جهت تعیین وضعیت ذخیره ماهی ساردین سند در آب&#8204;های جنوبی از مدل صید-حداکثر محصول پایدار(Catch-Maximum Sustainable Yield, CMSY) &#160;استفاده شد. داده&#8204;های صید مربوط به 23 سال گذشته (1398- 1376) جمع&#8204;آوری و برای محاسبه نقاط مرجع شیلاتی وارد مدل شدند. مقدار محاسبه شده برای شاخص B/BMSY توسط مدل بیشتر از 1/0 و مقدار شاخص F/FMSY کمتر از 1/0 تخمین زده شد که بیانگر عدم صید بی&#8204;رویه از ذخیره این گونه در آب&#8204;های جنوبی کشور می&#8204;باشد. مقدار حداکثر محصول قابل برداشت (Maximum Sustainable Yield, MSY) 86 هزار تن تخمین زده شد که در چند سال اخیر میزان برداشت، بیشتر از این مقدار بوده که این امر باعث شده است تا ذخیره به تدریج به سمت حالت صید بی&#8204;رویه حرکت نماید. با توجه به نتایج حاصل، پیشنهاد می&#8204;شود که کنترل و مدیریت بر فعالیت&#8204;های صید و صیادی بصورت منطقه&#8204;ای (به ویژه در آب&#8204;های استان هرمزگان) و با در نظر گرفتن پتانسیل&#8204;های شیلاتی، همراه با پایش وضعیت بهره&#8204;برداری و با در نظر گرفتن عوامل محیطی تأثیرگذار بر ذخایر این ماهیان صورت پذیرد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Among the various species of small pelagic fish, Sardinella sindensis (Day ,1878) has high economic and ecological importance and is one of the most important species exploited by fishermen. In recent years, the catch rate of this species has increased, and due to the limited data available on its stock in southern waters, it is not possible to use models based on the complementary data to assess its stock. In the present study, the catch-maximum sustainable yield (CMSY) model was used to determine the stock status of Sardinella sindensis in southern waters. Catch data related to the last 23 years (1997- 2019) were collected and entered into the model to calculate fisheries reference points. The value for B/BMSY by the model was estimated to be more than 1.0 and the value of F/FMSY was less than 1.0, which indicates the healthy stock status of this species in the southern waters of Iran. The maximum sustainable yield (MSY) was estimated to be &#160;86,000 tons. In recent years, the catch rate has been exceeded this amount and has caused the stock to move gradually towards the overfishing zone. Based on the results, it is suggested to control and manage the fishing activities regionally (specially in Hormozgan province) by taking into account the fishery potentials, monitoring the exploitation status with regard to the environmental factors affecting the stocks of this species.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>11</FPAGE>
			<TPAGE>13</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/26
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/10/5
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/7
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/3/17
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>علی</Name>
				<MidName></MidName>
				<Family>حقی وایقان</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Haghi Vayghan</FamilyE>
				<Organizations>
				<Organization>دانشگاه ارومیه</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>a.haghi@urmia.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مهرناز</Name>
				<MidName></MidName>
				<Family>قنبرزاده</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ghanbarzadeh</FamilyE>
				<Organizations>
				<Organization>دانشگاه هرمزگان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>mehrna.ghanbarzadeh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Small pelagic fish</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Sardinella sindensis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Catch-maximum sustainable yield model</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Fishery management</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Persian Gulf</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Sea of Oman</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ماهیان سطح‌زی ریز</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ساردین سند</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مدل صید-حداکثر محصول پایدار</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مدیریت صید</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>خلیج فارس و دریای عمان</KeyText>
			</KEYWORD>
		</KEYWORDS>

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			<REFRENCE>
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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تنوع ژنتیکی Avicennia marina در اکوسیستم های ساحلی جنوب ایران با استفاده از نشانگرهای مولکولی و ریخت شناسی</TitleF>
		<TitleE>Genetic Diversity of Avicennia Marina in Costal Ecosystems of Southern Iran Based on Molecular Markers and Morphological Characteristics</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>جنگل&#8204;های مانگرو ایران زیستگاه&#8204;های ساحلی درختان حرا در منطقه جنوب غربی آسیا هستند. آگاهی از تنوع ژنتیکی جنگل&#8204;های مانگرو اطلاعات ارزشمندی را جهت جلوگیری از فرسایش ژنتیکی در خزانه ژنی این اکوسیستم&#8204;های گیاهی و حفاظت از آنها فراهم می&#8204;نماید. هدف تحقیق، بررسی تنوع ژنتیکی در جنگل&#8204;های مانگرو چهار منطقه ساحلی جنوبی ایران با استفاده از نشانگرهای ریزماهواره و ویژگی&#8204;های ریخت&#8204;شناسی می&#8204;باشد. تجزیه خوشه&#8204;ای داده&#8204;های مولکولی با استفاده از الگوریتم Neighbor joining تعداد 60 درخت نمونه&#8204;برداری شده از مناطق ساحلی مختلف را در چهار گروه دسته&#8204;بندی نمود. تجزیه واریانس مولکولی داده&#8204;ها نشان داد سهم عمده واریانس کل (%77) مربوط به تنوع درون جمعیت&#8204;ها می&#8204;باشد. بیشترین مقدار تعداد آلل مؤثر، شاخص تنوع شانون و میزان هتروزیگوسی برای جمعیت قشم به&#8204;دست آمد که نشان داد این جمعیت دارای بیشترین تنوع ژنتیکی در بین جمعیت&#8204;های مورد بررسی است. نتایج ارزیابی&#8204;های ریخت&#8204;شناسی درختان نشان داد که از نظر صفات ارتفاع، قطر برابر سینه و قطر یقه درختان و همچنین اندازه برگ، قطر ریشه&#8204;های هوایی و طول این ریشه&#8204;ها تفاوت معنی&#8204;داری بین نمونه&#8204;های گیاهی چهار منطقه وجود دارد. نتایج این تحقیق اطلاعات مفیدی در زمینه تنوع ژنتیکی جنگل&#8204;های مانگرو ایران فراهم نمود که می&#8204;تواند در مطالعات تکاملی و برنامه&#8204;های حفاظت از این اکوسیستم&#8204;های گیاهی با ارزش مورد استفاده قرار گیرد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Iranian mangrove forests provides valuable information to prevent genetic erosion in the gene pool of these ecosystems. The aim of this study was to investigate the genetic diversity among mangrove forests located in four different regions of Iran, based on morphological characteristics and microsatellite markers. Cluster analysis of molecular data, using neighbor joining algorithm classified the 60 mangrove trees, sampled from different coastal areas, into four groups. Analysis of molecular variance showed that the majority (77%) of the variance explained by among-population variation and the highest values of genetic diversity parameters including number of effective alleles, Shannon&#8217;s information index, and Nei&#8217;s genetic diversity were obtained for the Qeshm population, indicating that region is the most diverse population among all the studied populations. Baced on the morphological analyses significant differences were observed between all populations in terms of height, diameter at breast height, collar diameter, leaf size, pneumatophore length and pneumatophore diameter. The present study, provides useful information about genetic diversity of mangrove habitats which can be used in evolutionary studies and conservation efforts for these valuable plant ecosystems.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>15</FPAGE>
			<TPAGE>26</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/262022/02/20
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/12/1
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/72022/07/4
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/4/13
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>ستاره</Name>
				<MidName></MidName>
				<Family>کوچکی چنانی</Family>
				<NameE>S.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Koochaki chenani</FamilyE>
				<Organizations>
				<Organization>دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>setarehkoochaki32@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ساسان</Name>
				<MidName></MidName>
				<Family>بابایی کفاکی</Family>
				<NameE>S.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Babaie kafaki</FamilyE>
				<Organizations>
				<Organization>دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>s.babaie.rs@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>هادی</Name>
				<MidName></MidName>
				<Family>کیادلیری</Family>
				<NameE>H.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kiadaliri</FamilyE>
				<Organizations>
				<Organization>دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>hadi.kiadaliri@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>آسا</Name>
				<MidName></MidName>
				<Family>ابراهیمی</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ebrahimi</FamilyE>
				<Organizations>
				<Organization>دانشگاه آزاد اسلامی، واحد علوم و تحقیقات، تهران، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>dr.asaebrahimi@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>علیرضا</Name>
				<MidName></MidName>
				<Family>اطمینان</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Etminan</FamilyE>
				<Organizations>
				<Organization>واحد کرمانشاه. دانشگاه آزاد اسلامی، کرمانشاه، ایران</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>alietminan55@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Genetic diversity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Costal habitat</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mangrove</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Morphology</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Molecular marker</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تنوع ژنتیکی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ریخت‌شناسی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>زیستگاه ساحلی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مانگرو</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>نشانگر مولکولی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Alongi, D.M. 2015. The impact of climate change on mangrove forests. Current Climate Change Reports 1: 30-39.##2.	Bradeen, J.M., I.C. Bach, M. Briard, C.V. Le, D. Grzebelus, D.A. Senalik and P.W. Simon. 2002. Molecular diversity analysis of cultivated carrot (Daucus carota L.) and wild Daucus populations reveals a genetically nonstructured composition. Journal of the American Society for Horticultural Science 127: 383-391.##3.	Dahdouh-Guebas, F.R., J.G. Kairo, R. De Bondt and N. Koedam. 2007. Pneumatophore height and density in relation to microtopography in the grey mangrove Avicennia marina. Belgian Journal of Botany 140: 213-221.##4.	Dimendra, H., T. Muthusamy, S. Sunil Kumar and K. Kathiresan. 2013. Genetic diversity in three populations of Avicennia marina along the eastcoast of India by RAPD markers. Journal of Environmental Biology 34: 663-666.##5.	Doyle, J.J. and K.J. Doyle. 1987. A rapid DNA isolation procedure for small quantities of fresh leaf tissue.Phytochemical Bulletin 19:11–15.##6.	Efrén, C., I. León, J. Pinedo. 2018. Biogeochemistry of mangrove sediments in the swamp of  Mallorquin,Colombia. Regional Studies in Marine Science 17: 38-46.##7.	Ghasemi, S., M. Zakaria and N. Mola Hoveizeh. 2011. Abundance of molluscs (gastropods) at mangroveforests of Iran. Journal of American Science7(1):660-669.##8.	Faisal, M. and M. Anis. 2002. Conservation of some rare and endangered medicinal plants adopting biotechnological approaches. In: International Symposium on Plant Biodiversity: Conservation and Evaluation December 17-20. Bose Institute, Kolkata, India.##9.	Gharacheh, M., M. Salari Aliabadi, S. Ghaemmaghami and A. Qasemi. 2020. Genetic diversity of plantations and natural stands of Avicenna marina across northern coast of Persian Gulf. Journal of Plant Ecosystem Conservation 8(16): 217-228.##10.	Gholamian, F., A. Etminan, M. Changizi, S. Khaghani and M. Gomarian. 2019. Assessment of genetic diversity in Triticum urartu Thumanjan ex Gandilyan accessions using start codon targeted polymorphism (SCoT) and CAATbox derived polymorphism (CBDP) markers. Biotechnology and Biotechnological Equipment 33(1): 1653-1662.##11.	Hilaluddin, F., F.M. Yusoff, F.M.I. Natrah and P.T. Lim. 2020. Disturbance of mangrove forests causes alterations in estuarine phytoplankton community structure in Malaysian Matang mangrove forests. Marine Environmental Research 158: 104935.##12.	Huang, J., X. Lu, W. Zhang, R. Huang, S. Chen and Y. Zheng. 2014. Transcriptome sequencing and analysis of leaf tissue of Avicennia marina using the Illumina platform. PlosOne 9: e108785.  ##13.	Jafarnia, S., J. Oladi, S.M. Hoojati and K. Mir Akhor Loo. 2016. Status and change detection of mangrove forest in Qeshm Island using satellite imagery from 1988 to 2008. Journal of Environmental Science and Technology18(1): 177-191.##14.	Lodhi, M.A., Ye, G.N., Weeden, N.F, Reisch, BI. 1998. A simple and efficient method DNA extraction from grapevine cultivars and visit species. Plant Molecular Biology Reporter 12(1):6-13.##15.	Maguire, T.L., Peakall, R., Saenger, P. 2002. Comparative analysis of genetic diversity in the mangrove species Avicennia marina (Forsk.) Vierh. (Avicenniaceae) detected by AFLPs and SSRs. Theoretical and Applied Genetics 104:388–398##16.	Maguire, T.L., P. Saenger, P.R. Baverstock and R.J. Henry. 2000. Microsatellite analysis of genetic structure in the mangrove species Avicennia marina (Forsk.) Vierh. (Avicenniaceae). Molecular Ecology 9: 1853-1862.##17.	Manson, F.J., N.R. Loneragan, B.D. Harch, G.A. Skilleter and L. Williams. 2005. A broad-scale analysis of links between coastal fisheries production and mangrove extent: a case-study for northeastern Australia. Fisheries Research 74: 69-85.##18.	Martin, C., H. Almahasheer and C.M. Duarte. 2019. Mangrove forests as traps for marine litter. Environmental Pollution 247:508-499.##19.	Mohammadi, S.A. and B.M. Prasanna. 2003. Analysis of genetic diversity in crop plants-salient statistical tools and considerations. Crop Science 43:1235-1248.##20.	Mori, G.M., M.I. Zucchi and A.P. Souza. 2015. Multiple-geographic-scale genetic structure of two mangrove tree species: The roles of mating system, hybridization, limited dispersal and extrinsic factors. PlosOne10: e0118710.##21.	Nowak, J.L., S. Okon and A. Wieremczuk .2020. Molecular diversity analysis of genotypes from four Aegilops species based on retrotransposon– microsatellite amplifed polymorphism (REMAP) markers. Cereal Research Communications 49(1):37-44.##22.	Peakall, R. and P.E. Smouse. 2006. Genalex6: genetic analysis in excel. Population genetic software for teaching and research. Molecular Ecology Notes 6:288-295.##23.	Perrier, X., A. Flori, F. Bonnot. 2003. Data Analysis Methods. In: Hamon P, Seguin M, Perrier X, Glaszmann JC (Eds.), Genetic Diversity of Cultivated Tropical Plants, London, Plymouth, UK, pp.43-76.##24.	Pezhmanmehr, M., M.E. Hassani, F. Jahansooz, A.A. Najafi, F. Sefidkon, M. Mardi and M. Pirseiedi .2009.Assessment of genetic diversity in some Iranian populations of Bunium persicum using RAPD and AFLP markers.Iranian Journal of Biotechnology 7(2):93-100##25.	Pirseyedi, M., A. Shirvany and A. Danehkar. 2008. Genetic variation of mangrove species Avicennia marina in Iran revealed by microsatellite markers. African Journal of Biotechnology 7 (17):3017-3021.##26.	Sabri, D.M., S.A. El-Hussieny and N. Elnwishy. 2018. Genotypic variations of mangrove (Avicennia marina) in Nabq protectorate, South Sinai, Egypt. International Journal of Agriculture &#38; Biology 20(3): 637‒646.##27.	Singh, J.K. 2020. Structural characteristics of mangrove forest in different coastal habitats of Gulf of Khambhat arid region of Gujarat, west coast of India. Heliyon 6(8): e04685.##28.	Solouki, M., H. Mehdikhani, H. Zeinali and A.A. Emamjomeh .2008. Study of genetic diversity in Chamomile  (Matricaria chamomilla) based on morphological traits and molecular markers. Scientia Horticulturae117: 281-287.##29.	Surya, D., D. Swati and G. Parthadeb. 2015. Phylogenetic relationships among the mangrove species of Acanthaceae found in Indian Sundarban, as revealed by RAPD analysis. Advances in Applied Science Research 6:179-    184##30.	Tamura, K., D. Peterson, N. Peterson, G. Stecher, M. Nei and S. Kumar. 2011. Mega5: molecular evolutionary genetics analysis using maximum likelihood, evolutionary distance, and maximum parsimony methods. Molecular Biology Evolution 28:2731-2739.##31.	Tyge, D., G. David, T. Marijana, E. Todd and J. David. 2015. Small urban stands of the mangrove Avicennia marina are genetically diverse but experience elevated inbreeding. Estuaries and Coasts 38: 1898-1907.##32.	Vieira, M.L.C., L. Santini, A.L. Diniz and C.F. Munhoz. 2016. Microsatellite markers: what they mean and why they are so useful. Genetics and Molecular Biology39(3): 312-328.##33.	Xia, P., X. Meng, Z. Li, A. Feng, P. Yin and Y. Zhang. 2015. Mangrove development and its response to environmental change in Yingluo Bay (SW China) during the last 150 years: Stable carbon isotopes and mangrove pollen. Organic Geochemistry 85: 32-41.##34.	Yaghoubzadeh, M., A. Salmanmahiny, M. Moslehi, A. Danehkar and A.R.M. Tabrizi. 2021. Investigation of port effects on vegetative and reproductive characteristics of grey mangrove (Avicennia marina (Forssk.) Vierh.) of Iran. Iranian Journal of Forest and Poplar Research 28(3). (In Persian).##35.	Zahed, M.A., F. Rouhani, S. Mohajeri, F. Bateni and L. Mohajeri. 2010. An overview of Iranian mangrove ecosystems, northern part of the Persian Gulf and Oman Sea. Acta Ecologica Sinica 30(4):240-244.##36.	Zhang, C.G., I.K.K. Leung, Y.S. Wong, N.F.Y. Tam. 2007. Germination, growth and physiological responses of mangrove plant (Bruguiera gymnorrhiza) to lubricating oil pollution. Environmental and Experimental Botany 60: 127-136.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تفکیک فلوریستیک گروه‌های اکولوژیک بزرگ مقیاس در جنگل‌های زاگرس مرکزی</TitleF>
		<TitleE>Floristic Classification of Large-Scale Ecological Groups in the Forests of Central Zagros</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>آیا تفاوت&#8204;های اقلیمی و تغییرات خشکسالی در ترکیب گیاهی جنگل&#8204;های زاگرس مرکزی، که در فواصل جغرافیایی طولانی از هم قرار دارند، مؤثرند، و نقش متغیرهای توپوگرافی ارتفاع از سطح دریا و جهت دامنه در این اختلاف احتمالی چیست؟ برای پاسخ به این پرسش&#8204; در این تحقیق فهرست &#160;گیاگان (فلور) ۱۵ جنگل زاگرس مرکزی، در قالب پنج شکل زیستی گیاهی در بین دره&#8204;های دو رودخانه گردبیشه و بازفت در طول ۱۷۰ کیلومتر توسط ۲۲۶ قطعه نمونه نیم هکتاری به دست آمد. از روش&#8204;های خوشه&#8204;بندی دو طرفه و آزمون پاسخ چندگانه&#8204;&#8204; جایگشت استفاده شد و اختلاف معنی&#8204;&#8204;دار در ترکیب گیاگان در سطح چشم&#8204;&#8204;انداز تأیید و اجتماعات گیاهی در قالب سه گروه اکولوژیک شرقی، مرکزی و غربی منفک شدند. از تجزیه تطبیقی متعارف &#160; برای تعیین همبستگی تغییرات ترکیب گیاهی با شاخص&#8204;های اقلیمی و توپوگرافی و همچنین فرم رویشی گیاهان استفاده شد. نتایج نشان دادند که، جنگل&#8204;های گروه اکولوژیک غربی کاملاً با شاخص خشکی دومارتن همبستگی مثبت دارند، درحالی که این شدت خشکسالی است که گروه&#8204;های اکولوژیک شرقی و غربی را متفاوت می&#8204;کند. همچنین عامل ارتفاع از سطح دریا در تمایز گروه&#8204;های اکولوژیک شرقی و مرکزی از یکدیگر اثر معنی&#8204;داری داشته است. عمده تفاوت سه گروه اکولوژیک از نقطه&#8204; نظر شکل زیستی گیاهان به همبستگی معنی&#8204;دار تروفیت&#8204;ها، کریپتوفیت&#8204;ها و همی&#8204;کریپتوفیت&#8204;ها با خشک&#8204;ترین گروه اکولوژیک (شرقی) برمی&#8204;گردد. با وجود جنگلی بودن تمام قطعات نمونه، فانروفیت&#8204;ها در تمایز گروه&#8204;های اکولوژیک بی &#8204;تأثیر بودند.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Do climatic variations and drought magnitude affect large-scale vegetation composition in the Central Zagrosian forests, and to what extent do topographic variables of altitude and aspect play a role in these potential differences? To answer this question, in this research, the flora list of 15 Central Zagros forests was obtained in five plant life forms between the valleys of two rivers, Gerdbisheh and Bazeft, over the distance of 170 km, using 226 half-hectare sample plots. Two-way cluster analysis and multi-reference permutation procedures (MRPP) were used to validate significant differences in plant composition at the landscape level. Subsequently, plant communities were divided into three ecological groups: eastern, central and western. Canonical correspondence analysis (CCA) was used to determine the correlation between changing plant composition and climatic and topographic variables as well as plant life forms. The results showed that forests in the western ecological group are significantly and positively correlated with the De Marton aridity index, while the drought magnitude differentiates the other two ecological groups. Also, altitude had a significant effect on differentiating the eastern and central ecological groups. The main difference between the three ecological groups in terms of plant life forms, was due to the significant correlation of Therophytes, Cryptophytes and Hemicryptophytes with the driest ecological group (eastern). Despite the fact that all the plots were covered with forests, Phanerophytes were not effective in distinguishing ecological groups.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>27</FPAGE>
			<TPAGE>43</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/262022/02/202022/02/16
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/11/27
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/72022/07/42022/07/27
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/5/5
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>فروغ</Name>
				<MidName></MidName>
				<Family>بهمنی</Family>
				<NameE>F.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bahmani</FamilyE>
				<Organizations>
				<Organization>دانشگاه شهرکرد</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>Foroogh_bahmani@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>علی</Name>
				<MidName></MidName>
				<Family>سلطانی</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Soltani</FamilyE>
				<Organizations>
				<Organization>دانشگاه شهرکرد</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>ali.soltani@sku.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>داود</Name>
				<MidName></MidName>
				<Family>مافی غلامی</Family>
				<NameE>D.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mafi-Gholami</FamilyE>
				<Organizations>
				<Organization>دانشگاه شهرکرد</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>d.mafigholami@sku.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Canonical correspondence analysis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Climatic indicators</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Drought gradient</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Multi-response permutation procedures</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Plant life form</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Two-way cluster analysis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>آزمون پاسخ چندگانه جایگشت</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تجزیه و تحلیل خوشه‌ای دو طرفه</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تجزیه تطبیقی متعارف</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص‌های اقلیمی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شدت خشکسالی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>فرم رویشی گیاهان</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Abella, S. R. and V. B. Shelburne, 2004. Ecological species groups of South Carolina's Jocassee Gorges, southern Appalachian Mountains. Journal of the Torrey Botanical Society,131(3): 220-231.##2.	Abella, S. R. and W. W. Covington, 2006. Vegetation–environment relationships and ecological species groups of an Arizona Pinus ponderosa landscape, USA. Plant Ecology, 185(2): 255-268.##3.	Aghaei, R., S. Alvaninejad, R. Basiri and R. Zolfaghari, 2013. Relationship between ecological species groups and environmental factors (case study: Vezg region in southeast of Yasouj). Iranian Journal of Applied Ecology, 1(2): 53-64. (In Farsi).##4.	Archibold, O. W., 1995. Ecology of World Vegetation. Springer, Dordrecht, 510p.##5.	Arellano-Rivas, A., M. A. Munguía-Rosas, J. A. De-Nova and S. Montiel, 2017. Effects of spatial patch characteristics and landscape context on plant phylogenetic diversity in a naturally fragmented forest. Tropical Conservation Science, 10(1): 1-11.##6.	Arroyo‐Rodríguez, V., F. P. Melo, M. Martínez‐Ramos, F. Bongers, R. L. Chazdon, J. A. Meave, N. Norden, B.A. Santos, I.R. Leal and M. Tabarelli, 2015. Multiple successional pathways in human‐modified tropical landscapes: new insights from forest succession, forest fragmentation and landscape ecology research. Biological Reviews, 92(1): 326-340.##7.	Attarroshan, S., and M. Heydari, 2018. Evaluation of understory plant species diversity in relation to some environmental factors in Imamzadeh Abdollah Baghmalek forests. Iranian Journal of Applied Ecology, 7(2): 1-15. (In Farsi).##8.	Castillón, E. E., J. R. Arévalo, J. Á. V. Quintanilla, M. M. S. Rodríguez, J. A. Encina-Domínguez, H. G. Rodríguez and C. M. C. Ayala, 2015. Classification and ordination of main plant communities along an altitudinal gradient in the arid and temperate climates of northeastern Mexico. The Science of Nature, 102(9): 1-11.##9.	de Martonne, E., 1926. Une nouvelle function climatologique: L'indice d'aridité. 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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>پایش تغییرات فراوانی پوسته استراکودها در مغزه رسوبی (مطالعه موردی: تالاب بین‌المللی گاوخونی)</TitleF>
		<TitleE>Monitoring the Frequency Changes of Ostracod Shells in the Sediment Core (Case Study: Gavkhooni International Wetland)</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>پایش تغییرات فراوانی پوسته سخت غیرقابل تجزیه استراکدها می&#8204;تواند به عنوان یک شاخص زیستی، اطلاعات ارزشمندی را از شرایط گذشته رسوبات تالاب&#8204;های داخلی ارائه دهد. بدین منظور مغزه رسوبی با طول 38 &#160;سانتی&#8204;متر در محدوده ابتدای دلتای تالاب بین&#8204;المللی گاوخونی (ایستگاه شاخ کنار) با استفاده از نمونه بردار مغزه&#8204;گیر رسوب ایستا در فروردین 1398 برداشت شد و شمارش تعداد پوسته استراکودها در 5 گروه اندازه ذرات همزمان با تعیین مشخصات فیزیکی رسوبات (دانه&#8204;بندی، چگالی و درصد رطوبت) انجام گرفت. نتایج حاصل نشان می&#8204;دهد ضریب همبستگی منفی معنی&#8204;دار (0/686- تا 0/477- = r) بین تراکم گروه&#8204;های اندازه غالب استراکودها با درصد سنگریزه و ماسه برقرار است. همچنین نتایج نشانگر ضریب همبستگی مثبت معنی&#8204;دار (0/579 تا 0/638 = r) بین تراکم گروه&#8204;ها با میزان سیلت و رس است. از همبستگی منفی استراکودها با ذرات درشت&#8204;دانه می&#8204;توان استنباط کرد که احتمالاً در این منطقه شرایط پرانرژی محیطی مثل سیلاب&#8204;های فصلی و سیلاب&#8204;های عظیم در دوران ترسالی باعث کاهش تراکم استراکودها شده است. در حالیکه بر هم خوردن رژیم هیدروژیکی طبیعی رودخانه زایند&#8204;رود و نرسیدن سیلاب&#8204;های شدید به دلتای رودخانه&#8204; در سه دهه اخیر باعث کاهش انرژی محیطی دلتا و افزایش درصد ذرات سیلت و رس و تراکم استراکدها شده است.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Monitoring the frequency changes of hard and non-degradable ostracod shells can provide valuable information about the past conditions of inland wetlands sediments as a biological index. In this regard, a sediment core with a length of 38 cm was harvested using a static sediment core sampler at the beginning of the delta of Gavkhooni international wetland (Shakh-Kenar station) in April 2019, and the number of ostracod shells were counted in five groups of particle size simultaneously with determining the physical characteristics of sediments (particle size distribution, density, and moisture content). The results show that there is a significant negative correlation coefficient (r = -0.686 to -0.477) between the density of the dominant size groups of ostracods with the percentage of gravel and sand. Also, the results show a significant positive correlation coefficient (r = 0.579 to 0.638) between the density of these groups with the amount of silt and clay.Based on &#160;to the negative correlation of ostracods with coarse particles, it can be inferred that high-energy environmental conditions such as seasonal floods and massive floods during the wet season have potentially reduced the density of ostracods in this region. While the disruption of the natural hydraulic regime of the Zayandehrud River and the lack of heavy &#160;floods in the river delta in the last three &#160;decades have &#160;reduced the environmental energy of the delta and increased the percentage of silt and clay particles, and the density of ostracods.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>45</FPAGE>
			<TPAGE>59</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/262022/02/202022/02/162022/05/4
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1401/2/14
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/72022/07/42022/07/272022/08/3
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/5/12
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>ارغوان</Name>
				<MidName></MidName>
				<Family>گرانمایه</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Geranmayeh</FamilyE>
				<Organizations>
				<Organization>دانشکده منابع طبیعی دانشگاه صنعتی اصفهان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>a.geranmayeh@na.iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>محمد</Name>
				<MidName></MidName>
				<Family>نعمتی ورنوسفادرانی</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Nemati Varnosfaderany</FamilyE>
				<Organizations>
				<Organization>دانشکده منابع طبیعی دانشگاه صنعتی اصفهان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>nemati@iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Ostracod</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Core sediment</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Environmental archive</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Zayandehrud delta</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>استراکد</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مغزه رسوبی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>آرشیو طبیعی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>دلتای زاینده‌رود</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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Ostracoda as a paleoecological indicators for the Maastrichtian–Upper Eocene succession in North and Western Iraq. Iraqi Journal of Science 57(2B): 1227-1237. ##35.	Sanayei, Y., N. Ismail, and S. Talebi. 2009. Determination of heavy metals in Zayandeh Rood river, Isfahan-Iran. World Applied Sciences Journal 6(9): 1209-1214. ##36.	Sanjari, S., F. Hadavi, M. N. Moghadam, and M. Allameh. 2016. Biostratigraphy of Abdraz Formation in Babafarji section based on ostracods. Thirty-fifth Earth Science Conference. (In Farsi)##37.	Stevenson, A., and R. Battarbee. 1991. Palaeoecological and documentary records of recent environmental change in Garaet El Ichkeul: a seasonally saline lake in NW Tunisia. Biological Conservation 58(3): 275-295. ##38.	Yasuhara, M., and H. Yamazaki. 2005. The impact of 150 years of anthropogenic pollution on the shallow marine ostracode fauna, Osaka Bay, Japan. Marine Micropaleontology 55(1-2): 63-74. ##39.	Zamani, S. 2018. Distribution and origin of heavy metals in core sediments of Gavkhooni wetland delta. Master Thesis in Environmental Pollution, Isfahan University of Technology, Iran, Isfahan. (In Farsi) ##40.	Zhu, L., X. Lin, Y. Li, B. Li, and M. Xie. 2007. Ostracoda assemblages in core sediments and their environmental significance in a small lake in Northwest Tibet, China. Arctic, Antarctic, and Alpine Research 39:4: 658-662.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تجزیه و تحلیل روند تغییرات جمعیت زمستان گذران و جوجه آور اردک سرسفید (Oxyura leucocephala) در ایران</TitleF>
		<TitleE>Analysis of Population, Breeding Status and Wintering Habitats of White-Headed Duck (Oxyura Leucocephala) in Iran</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>در این مطالعه روند تغییرات جمعیت زمستان&#8204;گذران و جوجه&#8204;آور اردک سرسفید (Oxyura leucocephala) به عنوان یک گونه در خطر انقراض با استفاده از داده&#8204;های سرشماری زمستانه سال&#172;های ۱۳۹۸-۱۳۴۷ و گزارش&#172;های جوجه&#172;آوری این گونه در تابستان &#160;دهه 1390 مورد بررسی قرار گرفت. روند تغییرات جمعیت زمستان&#8204;گذران گونه با استفاده از بسته آماری RTRIM &#160;در نرم&#172;افزار R محاسبه گردید. نتایج این مطالعه حاکی از افزایش شدید جمعیت در ایران با شیب 21/3 درصد در سال بود. با این وجود، افزایش جمعیت طی ده سال اخیر شیب ملایم&#172;تری &#160;داشته است. میانگین جمعیت زمستان&#172;گذران اردک سرسفید در ایران، ۱۲۶/۳ &#177; ۴۷۰/۴ فرد طی ۴۴ سال شمارش در مجموع ۱۴ استان و ۴۵ تالاب بوده است. به طور میانگین، 41/6 درصد جمعیت در استان مازندران، 25/1 درصد در فارس، 18/6 درصد در گلستان و ۴/۴ درصد در خوزستان و 10/3 درصد در سایر استان&#172;ها بوده است. جمعیت جوجه&#8204;آور اردک سرسفید در ایران بین 103 تا 301 جفت برآورد شد و &#160;جمعیت جوجه&#8204;آور این گونه در ایران نسبت به دهه&#172;های گذشته افزایش یافته است. شایسته است برای &#160;حفاظت از گونۀ اردک سرسفید، یک برنامه عمل یک&#172;پارچه، جامع و گونه&#8204;محور، بر پایۀ شرایط آب و هوایی و جغرافیایی زیستگاه-های تالابی گونه در سطح ملی تدوین گردد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>In this study, the trend of overwintering and breeding populations of the endangered white-headed duck Oxyura leucocephala was studied using 52 years of mid-winter waterbirds census in Iran (1969&#8211;2020) and breeding reports of the species in the 2010s. The trend of species population changes was calculated using RTRIM statistical package in R software. Species population in Iran indicates a substantial increase of 21.3% per year and a moderate increase of 4.4% per year over the last ten years. The results showed that the average annual total population of white-headed duck, overwintering in Iran, was 470.4 &#177; 126.3 over the past 44 years, covering 14 provinces and 45 wetlands. On average, 41.6% of the population was in Mazandaran province, 25.1% in Fars province, 18.6% in Golestan province, 4.4% in Khuzestan province, and 10.3% in other provinces. The breeding population of white-headed duck in Iran was estimated between 103 and 301 pairs, showing that the breeding population of the species in Iran has increased compared to the past decades. In order to protect this species, it is appropriate to develop a coherent and species-oriented action plan based on the climatic and geographical conditions of the wetland habitats of the species at the national level.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>61</FPAGE>
			<TPAGE>75</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/262022/02/202022/02/162022/05/42022/03/12
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/12/21
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/72022/07/42022/07/272022/08/32022/08/15
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/5/24
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>فرهاد</Name>
				<MidName></MidName>
				<Family>حسینی طایفه</Family>
				<NameE>F.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hosseini Tayefeh</FamilyE>
				<Organizations>
				<Organization>پژوهشکده محیط ز یست و توسعه پایدار</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>farhadtayefeh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>عباس</Name>
				<MidName></MidName>
				<Family>عاشوری</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ashoori</FamilyE>
				<Organizations>
				<Organization>اداره کل حفاظت محیط زیست گیلان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>abbasashoori67@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>منا</Name>
				<MidName></MidName>
				<Family>ایزدیان</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Izadian</FamilyE>
				<Organizations>
				<Organization>پژوهشکده محیطز یست و توسعه پایدار</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>izadian.mona@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سید قاسم</Name>
				<MidName></MidName>
				<Family>قربان زاده زعفرانی</Family>
				<NameE>S. Gh.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Ghorbanzadeh Zaferani</FamilyE>
				<Organizations>
				<Organization>پژوهشکده محیطز یست و توسعه پایدار</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>ghorbanzadeh110@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Endangered species</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Endangered</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Census</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>RTRIM statistical package</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Wetland</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Conservation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>در خطر انقراض</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سرشماری</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>بسته آماری RTRIM</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تالاب</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>حفاظت</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Association of the Biodiversity of Kazakhstan (ACBK). 2016. More than 20 thousand individuals of white-headed duck were registered in Akmola region. Available online at: http://www.acbk.kz/en/news/7320/. Accessed on 20 June 2022. ##2.	Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES), Appendices. 2022. Available online at: https://cites.org/eng/app/appendices.php. Accessed on 26 June 2022.##3.	Ashoori, A. 2008. Birds offered for sale in the Langarud market, southwestern Caspian Sea. Podoces 3: 92-96. [In Farsi].##4.	Ashoori, A. and A. Abdoos. 2013. Important Wetland Habitats for the Waterbirds of Gilan. Katibeh Gil, Iran. [In Farsi].##5.	Ashoori, A. and K. Zolfinezhad. 2006. A three- year survey of the status of birds in Bujagh national park. Journal of Environmental Sciences 11 (2): 11-22. [In Farsi].##6.	Ashoori, A., M., Yousefi and F.H. Tayefeh. 2020. Changes in the diversity and abundance of wintering waterbirds within protected areas in Anzali international wetland complex. Experimental Animal Biology 9 (1): 29-40. [In Farsi].##7.	Atiénzar, F., M. Antón-Pardo, X. Armengol and E. Barba. 2012. Distribution of the white-headed duck Oxyura leucocephala is affected by environmental factors in a Mediterranean wetland. Zoology Studies 51(6): 783-792.##8.	Behrouzi - Rad, B. 1994. White-headed duck, an endangered species. Journal of Environment 6 (2): 36-44. [In Farsi].##9.	BirdLife International. 2022. Species factsheet: Oxyura leucocephala. Available online at: http://www.birdlife.org.  Accessed on 11 February 2022.##10.	Biricik, M. and R. Karakas. 2011. On the occurrence of white-headed duck Oxyura leucocephala (Scopoli, 1769) in south-eastern Anatolia, Turkey. Acta Zoological Bulgarica 63, 213-216.##11.	Bogaart, P., M. Van der Loo and J. Pannekoek. 2020. RTrtrim. Version 2.1.1. Available online at: https://github.com/markvanderloo/rtrim. Accessed 20 April 2021.##12.	Del Hoyo, J., N. J. Collar, D. A. Christie, A. Elliott and L. D. C. Fishpool. 2014. Handbook of the Birds of the World and BirdLife International Illustrated Checklist of the Birds of the World. Volume 1: Non-passerines. Lynx Edicions BirdLife International, Barcelona, Spain and Cambridge, UK, 1648p.##13.	Green, A. J. and J. Hunter. 1996. The declining white-headed duck: a call for information. Threatened Waterfowl Research Group Newsletter 1: 19-21.##14.	Gursoy- Ergen, A. 2019. Hope for the white-headed duck, Oxyura leucocephala. (Aves: Anatidae) in Turkey despite a declining breeding population and abandonment of its traditional wintering area?. Zoology in the Middle East 62 (2): 1-12.##15.	Hughes, B., J. A. Robinson, A. J. Green, Z. W. D. Li and T. Mundkur. 2006. International single species action plan for the conservation of the white-headed duck Oxyura leucocephala. CMS Technical Series No. 13 &#38; AEWA Technical Series No.8. Bonn, Germany.##16.	Kaboli, M., M. Aliabadian, M. Tohidifar, A. Hashemi and C.S. Roselaar. 2012. Atlas of Birds of Iran. Iran Department of Environment, Tehran, Iran. [In Farsi].##17.	Koshkina, A. I., A. V. Koshkin, A. Y. Timoshenko and H. Schielzeth. 2016. Results of white-headed duck monitoring at key sites in Akmola, Kostanai and North Kazakhstan provinces in 2016-2016. Selevinia 24: 117-123. ##18.	Li, Z. W. D. and T. Mundkur. 2003. Status Overview and Recommendations for Conservation of the white-headed duck Oxyura leucocephala in Central Asia (Wetlands International Global Series). Wetlands International, Kuala Lumpur. ##19.	Musil, P., Z. Musilová, R. Fuchs and S. Poláková. 2011. Long-term changes in numbers and distribution of wintering waterbirds in the Czech Republic, 1966–2008.  Bird Study 58 (4): 450-460.##20.	Nagy, S. and T. Langendoen. 2017. Flyway Trend Analyses Based on Data from the African-Eurasian Waterbird Census from the Period of 1967-2015, Wetlands International, The Netherlands.##21.	Nergiz, H., M. A. Tabur and Y. Ayvaz. 2014. Population sizes and migration times of the white-headed duck, Oxyura leucocephala (Scopoli, 1769), in Turkey. Bitlis Eren University Journal of Science and Technology 4(2): 20-22.##22.	Pannekoek, J. and A. J. Van Strien. 2005 TRIM 3 Manual (TRends and Indices for Monitoring Data). Statistics Netherlands, Voorburg, The Netherlands.##23.	Scott, D. A. 2010. Results of mid-winter waterbird counts in Iran in the early 1970s. Podoces 5(1): 11-28##24.	Scott, D. A. 2007. A review of the status of the breeding waterbirds in Iran in the 1970s. Podoces 2 (1), 1-21. ##25.	Sebastián-González, E., C., Fuentes, M., Ferrández, J. L., Echevarrías and A. J. Green. 2013. Habitat selection of marbled teal and white-headed duck during the breeding and wintering seasons in south-eastern Spain. Bird Conservation International 23 (3): 344-359.##26.	Sefidian, S. and A. Salman Mahini .2016. White- headed duck population dynamics modeling (Case Study: The wetlands of Golestan Province, Iran). Journal of Environment 7 (14): 21-30. [In Farsi].##27.	Shahbazi, Y. 2001. The study of white-headed duck in Iran. Journal of Environment 35: 52-65. [In Farsi].##28.	Sheldon, R., N. Mikander and J. Fernandez Orueta. 2018. International single species action plan for the conservation of the white-headed duck (Oxyura leucocephala). 1st revision. CMS Technical Series, AEWA Technical Series. ##29.	Tayefeh, F. H., S. Ghasemi, M. Izadian, GH. Ghorbanzadeh Zaferani, R. Ghayoumi and E. Ebrahimi. 2021. National action plan for the conservation and management of the white-headed duck (Oxyura leucocephala). Department of Environment, Iran. 62p. [In Farsi].##30.	Tayefeh, F. H., M. Izadian, M., A.  Ashoori, L.  Jolaee and E. Ebrahimi. 2021. Trends of waterbirds population changes in Fars province wetlands 1988-2018, Environmental Sciences 19(1): 177-196. [In Farsi].##31.	Wetlands International. 2015. Report on the conservation status of migratory waterbirds in the agreement area - Sixth Edition (CSR6), UNEP/AEWA, Bonn, Germany. Available online at: https://www.unep-aewa.org/en/document/report-conservation-status-migratory-waterbirds-agreement-area-sixth-edition. Accessed on 11 July 2022.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تحلیل لکه‌های داغ سنجه‌های سیمای سرزمین و شاخص رواناب سیمای سرزمین  در استان اردبیل</TitleF>
		<TitleE>Hot Spots Analysis of Landscape Metrics and Runoff Landscape Index in Ardabil Province</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>لکه&#8204;های داغ به مکان&#8204;هایی مربوط می&#8204;شوند که در آن&#8204;ها فرآیندی غیرعادی رخ داده است. شناسایی این لکه&#8204;ها از لحاظ بوم&#8204;شناختی می&#8204;تواند به کارشناسان و مدیران در تحلیل وضعیت سلامت و پایداری کمک شایانی نماید. لذا، پژوهش حاضر با هدف تحلیل خودهمبستگی فضایی و شناسایی لکه&#8204;های داغ مربوط به 11 سنجه سیمای سرزمین، شاخص رواناب سیمای سرزمین (Runoff Landscape Index, RLI) و عامل&#8204;های مرتبط با آن در 28 حوضه استان اردبیل انجام شد. میانگین مقادیر مثبت شاخص z حاصل از شاخص موران (Moran) بیان&#8204;گر وجود همبستگی مکانی در حوضه&#8204;های مورد مطالعه است. هم&#8204;چنین، نتایج موران محلی نشان داد که سنجه&#8204;های مورد بررسی دارای الگوی فضایی ساختاریافته در منطقه&#8204; مطالعاتی هستند و به&#8204;صورت تصادفی توزیع نشده&#8204;اند. الگوی کاملاً تک قطبی برای عامل پوشش زمین (&#955;C)، عامل خاک (&#955;K) و RLI یافت شد. مقادیر منفی شاخص موران محلی نیز برای عامل توپوگرافی (&#955;s) الگوی پراکنده را اثبات کرد. توزیع مکانی لکه&#8204;های داغ و سرد با استفاده از شاخص گتیس-ارد جی (Getis-Ord-Gi) نشان داد که &#955;C در حوضه&#8204;های احمدکندی، اکبرداود، درو، مشیران، فیروزآباد، لای، نیر و هیر فاقد الگوی معنی&#8204;دار و در حوضه&#8204;های ایریل، نمین و ننه&#8204;کران دارای لکه&#8204;های سرد در سطح اطمینان 90 درصد بوده است. سایر حوضه&#8204;ها، لکه&#8204;های داغ در سطح اطمینان 95 درصد را به خود اختصاص دادند. شاخص رواناب سیمای سرزمین در حوضه&#8204;های احمدکندی، اکبرداود، درو، مشیران، فیروزآباد، لای، نیر و هیر فاقد الگوی معنی&#8204;دار بوده و لکه&#8204;های داغ آن در سطح اطمینان 95 درصد در سایر حوضه&#8204;ها شناسایی شد.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Hot spots are often associated with places where an abnormal process has occurred. Accordingly, their identification can help experts and managers to scrutinize the state of health and sustainability, from an ecological point of view. The present study was therefore conducted to analyze the spatial autocorrelation and identify hot spots of 11 landscape metrics, the new Runoff Landscape Index (RLI), and its related factors in 28 watersheds of Ardabil province. The average positive values of the z score obtained from Moran&#39;s index indicate the presence of spatial correlation in the studied watersheds. In addition, the results of local Moran&#39;s showed that the landscape metrics have a structured spatial pattern and are not randomly distributed. A completely unipolar pattern was obtained for land cover factor (&#955;C), soil factor (&#955;K), and RLI. Furthermore, the negative values of the local Moran&#39;s index for the topographic factor (&#955;S) proved the scattered pattern. Spatial distribution of hot and cold spots, using the Getis-Ord-Gi index, showed no significant pattern in the &#955;C of Ahmadkandi, Akbardavod, Deru, Mashiran, Firozabad, Lai, Nir, and Hir watersheds. Cold spots were observed in the Eiril, Namin, and Nanehkaran watersheds at the 90% confidence level and the rest of watersheds had hot spots at a 95% confidence level. The RLIs of Ahmadkandi, Akbardavod, Deru, Mashiran, Firozabad, Lai, Nir, and Hir watersheds lack a significant pattern, and the rest of watersheds showed the hot spots at a 95% confidence level.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>77</FPAGE>
			<TPAGE>96</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2021/12/262022/02/202022/02/162022/05/42022/03/122022/03/14
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1400/12/23
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2022/06/72022/07/42022/07/272022/08/32022/08/152022/08/22
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1401/5/31
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>علی</Name>
				<MidName></MidName>
				<Family>رسول‌زاده</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Rasoulzadeh</FamilyE>
				<Organizations>
				<Organization>دانشگاه محقق اردبیلی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>rasoulzadeh@uma.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>زینب</Name>
				<MidName></MidName>
				<Family>حزباوی</Family>
				<NameE>Z.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Hazbavi</FamilyE>
				<Organizations>
				<Organization>دانشگاه محقق اردبیلی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>z.hazbavi@uma.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>جوانشیر</Name>
				<MidName></MidName>
				<Family>عزیزی مبصر</Family>
				<NameE>J.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Azizi Mobaser</FamilyE>
				<Organizations>
				<Organization>دانشگاه محقق اردبیلی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>ja_mobaser@uma.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رئوف</Name>
				<MidName></MidName>
				<Family>مصطفی‌زاده</Family>
				<NameE>R.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mostafazadeh</FamilyE>
				<Organizations>
				<Organization>دانشگاه محقق اردبیلی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>raoofmostafazadeh@uma.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>نازیلا</Name>
				<MidName></MidName>
				<Family>علائی</Family>
				<NameE>N.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Alaei</FamilyE>
				<Organizations>
				<Organization>دانشگاه ارومیه</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>nazila.alaie96@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Autocorrelation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Hydrological metric</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Landscape</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Moran's index</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Spatial pattern</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>الگوی مکانی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سنجه هیدرولوژیکی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>سیمای سرزمین</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص موران</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>خودهمبستگی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>

</ARTICLES>

</JOURNAL>
</XML>
