<?xml version="1.0" encoding="utf-8"?>
<XML>
<JOURNAL>
<YEAR>1402</YEAR>
<VOL>12</VOL>
<NO>4</NO>
<MOSALSAL>46</MOSALSAL>
<PAGE_NO>90</PAGE_NO>


<ARTICLES>

	<ARTICLE> 
		<TitleF>پراکنش آینده ماهی ‌سیم (Linnaeus, 1758) Abramis brama 
تحت تأثیر سناریوهای تغییر اقلیم</TitleF>
		<TitleE>Future Distribution of Abramis brama (Linnaeus, 1758) under Climate Change scenarios</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>چکیده
رودخانه&#8204;ها و آبزیان فشارهای بسیاری به واسطه افزایش فعالیت&#8204;های صنعتی بشر و متعاقب آن تغییرات اقلیمی متحمل شده&#8204;اند. در مطالعه حاضر، تغییرات محدوده پراکنش ماهی &#8204;سیم (Abramis brama) ساکن در رودخانه&#8204;های حوضه آبریز جنوبی دریای خزر در سال&#8204;های 2050 و 2080 تحت دو سناریوی اقلیمی خوش&#8204;بینانه و بدبینانه با استفاده از مدل مکسنت مورد ارزیابی قرار گرفت. در این مطالعه، از مجموعه داده&#8204;های جمع&#8204;آوری شده توسط نویسندگان و منابع علمی مختلف مربوط به یک بازه زمانی 50 ساله (2020-1970میلادی) استفاده گردید. طبق منحنی مشخصه عملکرد سیستم و با توجه به معیار سطح زیر منحنی (AUC) عملکرد مدل در پیش&#8204;بینی پراکنش گونه، عالی (0/947) ارزیابی شد. بعلاوه، نتایج مدل&#8204;سازی نشان داد که احتمالاً پراکنش این گونه در هر دو سناریوی اقلیمی و هر دو سری زمانی 2050 و 2080 به&#8204;صورت قابل&#8204;توجهی کاهش پیدا خواهد کرد که بیشترین درصد کاهش معادل 71/98 تحت سناریوی بدبینانه در سال 2080 پیش&#8204;بینی شد. با توجه به جایگاه ماهی سیم در سفره غذایی و تأثیر مثبت آن بر اقتصاد و معیشت جوامع محلی، جهت حفاظت از این گونه با ارزش می&#8204;توان به اقداماتی مانند جلوگیری از صید بی&#8204;رویه، توسعه استراتژی&#8204;های حفاظتی برای مقابله با رخدادهای آینده و تلاش جهت کاهش عوامل شتاب&#8204;دهنده تغییر اقلیم اشاره نمود.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Riverine ecosystems and aquatic animals have suffered many pressures due to the increase of human industrial activities and subsequent climate changes. In the present study, changes in the distribution range of the bream fish (Abramis brama) inhabiting the rivers of the southern Caspian Sea basin in the years 2050 and 2080 under optimistic and pessimistic climate scenarios were assessed by using the MaxEnt model. This study utilized datasets collected by the authors and various scientific resources available over 50 years (1970-2020). According to the receiver operating characteristics curve, and area under curve (AUC), the model performance in predicting species distribution was excellent (AUC = 0.947). Furthermore, modeling results indicated a significant likely decrease in the distribution of this species under both optimistic and pessimistic scenarios, in both periods of 2050 and 2080, with the highest predicted reduction percentage of 98.71% under the pessimistic scenario in 2080. Given the importance of the bream fish in the food chain and its positive impact on the economy and livelihoods of local communities, conservation efforts such as preventing overfishing, developing conservation strategies to cope with future events, and striving to reduce climate change accelerators are recommended for the protection of this valuable species.

&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>1</FPAGE>
			<TPAGE>13</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/9
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1402/10/19
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/7
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/2/18
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>نجمه</Name>
				<MidName></MidName>
				<Family>طبسی نژاد</Family>
				<NameE>N.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Tabasinezhad</FamilyE>
				<Organizations>
				<Organization>دانشگاه گیلان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>Tabasinezhad@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>حامد</Name>
				<MidName></MidName>
				<Family>موسوی ثابت</Family>
				<NameE>H.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mosavi-Sabet</FamilyE>
				<Organizations>
				<Organization>دانشگاه گیلان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>mosavii.h@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>حسین</Name>
				<MidName></MidName>
				<Family>مصطفوی</Family>
				<NameE>H.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mostafavi</FamilyE>
				<Organizations>
				<Organization>دانشگاه شهید بهشتی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>hmostafaviw@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Climate change</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Bream fish</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>MaxEnt model</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Distribution prediction</KeyText>
			</KEYWORD>

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

			<KEYWORD>
				<KeyText>دگرگونی اقلیم</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ماهی سیم</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مدل مکسنت</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پیش‌بینی پراکنش</KeyText>
			</KEYWORD>

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

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			<REFRENCE>
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	</ARTICLE>


	<ARTICLE> 
		<TitleF>مدل‌سازی لکه‌های داغ گذرگاه‌های زیستگاهی گونه‌های خانواده راسوها (Mustelidae) 
و میزان هم‌پوشی آن‌ها با مناطق تحت حفاظت در ایران</TitleF>
		<TitleE>Modeling of Habitat Corridor Hotspots for the Mustelid Species (Mustelidae) and Their Coverage by Conservation Areas in Iran</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>حفاظت از گذرگاه&#8204;های زیستگاهی به منظور کاهش اثرات تکه&#8204;تکه شدن زیستگاه بر جمعیت&#8204;های حیات وحش، حائز اهمیت است. مطالعه حاضر با هدف شناسایی گذرگاه&#8204;های زیستگاهی بالقوه میان لکه&#8204;های زیستگاهی گونه&#8204;های خانواده راسوها با استفاده از روش تحلیل مسیر حداقل هزینه فاکتوریل و نرم&#8204;افزار UNICOR انجام شد. با روی هم&#8204;گذاری گذرگاه&#8204;های زیستگاهی گونه&#8204;های این خانواده ، میزان هم&#8204;پوشی لکه&#8204;های داغ گذرگاه&#8204;های زیستگاهی با مناطق تحت حفاظت سازمان حفاظت محیط زیست و تراکم جاده&#8204;ای این لکه&#8204;های داغ مورد بررسی قرار گرفت. نتایج نشان داد که بیشترین مساحت گذرگاه&#8204;های زیستگاهی مربوط به گونه&#8204;های راسو، سمور سنگی و زرده&#8204;بر بود. لکه&#8204;های داغ گذرگاه&#8204;های زیستگاهی خانواده راسوها به طور عمده در رشته&#8204;کوه&#8204;های زاگرس و البرز قرار دارند. میزان هم&#8204;پوشی لکه&#8204;های داغ گذرگاه&#8204;های زیستگاهی با مناطق تحت حفاظت کمتر از 25 درصد و تراکم جاده&#8204;ای 50 متر در کیلومتر مربع بود. لزوم در نظر گرفتن لکه&#8204;های داغ گذرگاه&#8204;های زیستگاهی خانواده راسوها در ایجاد مناطق تحت حفاظت جدید و تمهیدات لازم برای حداقل رسانیدن تلفات جاده&#8204;ای در لکه&#8204;های داغ گذرگاه&#8204;های زیستگاهی امری ضروری است. حفاظت از خانواده راسوها به عنوان گونه&#8204;های گوشتخوار میانی، بقای شبکه&#8204;های غذایی حیات وحش و پایداری تنوع زیستی ایران را فراهم می&#8204;سازد.


&#160;</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Conservation of habitat corridors is important in order to reduce the impacts of habitat fragmentation on wildlife. The present study aimed to identify the potential habitat corridors between habitat patches of this family using factorial least-cost path analysis and UNICOR software. By overlaying the habitat corridors of the mustelidae family, the study examined the coverage of the habitat corridor hotspots with the conservation areas designated by the Department of Environment of Iran, as well as the road density within these hotspots. The results revealed that the largest habitat corridors were associated with weasel, stone marten, and marbled polecat species. Habitat corridor hotspots of the mustelid species are mainly located in the Zagros and Alborz mountains. The coverage of habitat corridor hotspots with conservation areas was less than 25%, and the road density was about 50 m/km2. It is necessary to consider the habitat corridor hotspots of the mustelids when creating new conservation areas and &#160;implementing measures to minimize road-related losses in these hotspots. The conservation of the mustelidae family as mesocarnivorous species ensures the survival of wildlife food webs and contributes to the sustainability of Iran&#39;s biodiversity.&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>15</FPAGE>
			<TPAGE>30</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/92024/01/20
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1402/10/30
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/72024/04/22
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/2/3
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>کامران</Name>
				<MidName></MidName>
				<Family>الماسیه</Family>
				<NameE>K.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Almasieh</FamilyE>
				<Organizations>
				<Organization>دانشگاه علوم کشاورزی و منابع طبیعی خوزستان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>almasieh@asnrukh.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>میترا</Name>
				<MidName></MidName>
				<Family>چراغی</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Cheraghi</FamilyE>
				<Organizations>
				<Organization>دانشگاه علوم کشاورزی و منابع طبیعی خوزستان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>cheraghi.mitra@asnrukh.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Habitat corridor</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Factorial least-cost path</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Habitat fragmentation</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Zagros and Alborz</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Mesocarnivores</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>گذرگاه زیستگاهی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>مسیر حداقل هزینه فاکتوریل</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تکه تکه شدن زیستگاه</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>زاگرس و البرز</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>گوشتخوار میانی</KeyText>
			</KEYWORD>
		</KEYWORDS>

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	</ARTICLE>


	<ARTICLE> 
		<TitleF>تنوع و فراوانی پرندگان مهاجر تالاب بند علیخان ورامین و ارتباط آن با نوسانات آب تالاب و خشکسالی</TitleF>
		<TitleE>Diversity and Abundance of Migratory Birds in Bandalikhan Wetland in Relation to Water Fluctuations and Drought</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>تالاب&#8204;ها یکی از منحصر به فرد&#8204;ترین اکوسیستم&#8204;های سطح زمین هستند که تغییرات مستقیم و غیرمستقیم انسانی عامل از بین رفتن آنها است. مطالعه حاضر به بررسی فراوانی و تنوع پرندگان تالاب بند علیخان ورامین و ارتباط آن با تغییرات سطح آب و خشکسالی تالاب در بازه 10 ساله (1400-1390) می&#8204;پردازد. داده&#8204;های سرشماری پرندگان گردآوری و شاخص&#8204;های غنا و تنوع گونه&#8204;ای محاسبه شد. تغییرات آب تالاب با استفاده از شاخص تفاضل نرمال شده آب (Normalized Difference Water Index, NDWI)، به کمک تصاویر ماهواره&#172;ی لندست تعیین شد. داده&#8204;های بارش، دما و شاخص خشکسالی با استفاده از داده&#8204;های هواشناسی استخراج و همبستگی بین آنها تحلیل شد. نتایج نشان داد که به ترتیب گونه&#8204;های خوتکا (Anas crecca) و اردک سرسبز (Anas platyrhynchos) فراوان&#8204;ترین پرندگان منطقه بوده و بیشترین مقادیر شاخص تنوع و غنای گونه&#8204;ای در پرآب&#8204;ترین سال (1398) بدست آمد. رگرسیون خطی نشان داد که ارتباط مثبت و معنی&#8204;داری بین NDWI با تعداد گونه (0/72 = R2) و فراوانی (0/74 = R2) پرندگان وجود دارد. رابطه معنی&#8204;داری بین شاخص خشکسالی و تعداد گونه&#8204;های پرندگان (0/62 = R2) مشاهده شد. به منظور حفظ تنوع &#8204;و فراوانی پرندگان تالاب، جلوگیری از نوسانات زیاد سطح آب تالاب که موجب کاهش مطلوبیت زیستگاه پرندگان می&#8204;شود، ضروری است.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Wetlands are one of the most unique ecosystems on earth, and their destruction is a result of direct and indirect human interactions. This study examines the abundance and diversity of birds in the Bandalikhan wetland and their relationship with water fluctuations and drought over a 10-year period (2012-2022). Bird census data was collected, and species richness and diversity indices were calculated. The changes in the water level were determined using the normalized water difference index (NDWI) and Landsat images. Rainfall, temperature, and drought index were extracted from meteorological records, and their correlation was analyzed. Results showed that common teal (Anas crecca) and mallard (Anas platyrhynchos) were the most abundant birds, and the highest values of species diversity and richness indices were obtained for the wettest year (2019). Linear regression revealed a positive and significant relationship between NDWI and the number of bird species (R2 = 0.72) and abundance (R2 = 0.74) of birds. A significant relationship was found between the drought index and the number of species (R2 = 0.62). To conserve the diversity and abundance of wetland birds, it is necessary to prevent large fluctuations in the water level, as this reduces the habitat suitability for birds.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>31</FPAGE>
			<TPAGE>44</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/92024/01/202024/03/11
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1402/12/21
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/72024/04/222024/05/19
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/2/30
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>مهسا</Name>
				<MidName></MidName>
				<Family>عبدالله آبادی</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Abdolahabadi</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>mahsaali71@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>منصوره</Name>
				<MidName></MidName>
				<Family>ملکیان</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Malekian</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>mmalekian@iyt.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سعید</Name>
				<MidName></MidName>
				<Family>پورمنافی</Family>
				<NameE>S.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Pourmanafi</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>spourmanafi@iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Species diversity</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Climatic changes</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>NDWI index</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Drought index</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تنوع گونه‌ای</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تغییرات اقلیمی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص NDWI</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص خشکسالی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1. Abdoli, M. and M. Panahandeh. (2020). Investigating the trends of Anzali wetland connected domain coverage using remote sensing techniques and DPSIR conceptual framework. Environmental Sciences 18(4): 125-140.(In Persian)##2. Akouwerabou, D. B. (2023). Effect of agricultural extension on cotton farmer's efficiency in arid and semi-arid areas of Burkina Faso. Natural Resources Forum 47(1): 42-59.##3. Ansari, A. and M. H. Golabi. (2019). Prediction of spatial land use changes based on LCM in a GIS environment for desert wetlands – A case study: Meighan wetland, Iran. International Soil and Water Conservation Research 7(1): 64-70.##4. Ashok, A., H. P. Rani and K. V. Jayakumar. (2021). Monitoring of dynamic wetland changes using NDVI and NDWI based landsat imagery. Remote Sensing Applications: Society and Environment 23: e100547.##5. Barbaree, B. A., M. E. Reiter, C. M. Hickey, K. M. Strum, J. E. Isola, S. Jennings, L. M. Tarjan, C. M. Strong, L. E. Stenzel and W. D. Shuford. (2020). Effects of drought on the abundance and distribution of non-breeding shorebirds in central California, USA. PloS One 15(10): e0240931.##6. Baschuk, M., N. Koper, D. Wrubleski and L. Goldsborough. (2012). Effects of water depth, cover and food resources on habitat use of marsh birds and waterfowl in boreal wetlands of Manitoba, Canada. Waterbirds: The International Journal of Waterbird Biology 35: 44-55.##7. Behroozi-Rad, B. (2017). Study of diversity and population of terrestrial birds on the edge of Miangaran wetland in winter and spring. Iranian Journal of Natural Ecosystems 8(3): 21-34. (In Persian)##8. Donnelly, J. P., S. L. King, N. L. Silverman, D. P. Collins, E. M. Carrera-Gonzalez, A. Lafón-Terrazas and J. N. Moore. (2020). Climate and human water use diminish wetland networks supporting continental waterbird migration. Global Change Biology 26(4): 2042-2059.##9. González, A., P. Victoriano and R. Schlatter. (2009). Waterbird assemblages and habitat characteristics in wetlands: influence of temporal variability on species-habitat relationships. Waterbirds 32(2): 225-233.##10. Goudarzian, P. and S. Y. Erfanifard. (2017). The efficiency of indices of richness, evenness and biodiversity in the investigation of species diversity changes (case study: migratory water birds of Parishan international wetland, Fars province, Iran). Biodiversity International Journal 1(2): 41‒45.##11. Gxokwe, S., T. Dube and D. Mazvimavi. (2020). Multispectral remote sensing of wetlands in semi-arid and arid areas: a review on applications, challenges and possible future research directions, Remote Sensing 12(24): e4190.##12. Halabian, A. H. and M. Shabankari. (2017). Study the trend of temporal- spatial variation in mesopotamian marshlands and effective factors. Human &#38; Environment 14(4): 9-24. (In Persian)##13. Hassan, D., S. Burian, R. Johnson, S. Shin and M. Barber. (2022). The Great Salt Lake water level is becoming less resilient to climate change. Water Resources Management 37: 2697-2720.##14. Hdidou, M., M. C. Necibi, J. Labille, S. El Hajjaji, D. Dhiba, A. Chehbouni and N. Roche. (2021). Potential use of constructed wetland systems for rural sanitation and wastewater reuse in agriculture in the Moroccan context. Energies 15 (1): 156-181.##15. Herrando, S., N. Titeux, L. Brotons, M. Anton, A. Ubach, D. Villero, E. García-Barros, M. L. Munguira, C. Godinho and C. Stefanescu. (2019). Contrasting impacts of precipitation on Mediterranean birds and butterflies. Scientific Reports 9(1): e5680.##16. Hosseini Tayefeh, F., M. Izadian, 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 Persian)##17. Janse, J. H., A. A. van Dam, E. M. A. Hes, J. J. M. de Klein, C. M. Finlayson, A. B. G. Janssen, D. van Wijk, W. M. Mooij and J. T. A. Verhoeven. (2019). Towards a global model for wetlands ecosystem services. Current Opinion in Environmental Sustainability 36: 11-19.##18. Malekian, M., R. Salarpour and M. Ranaie. (2022). Wetland characteristics affect abundance and diversity of wintering birds: A case study in South-Western Iran. Ecology and Evolution 12(11): e9558.##19. Manaffar, R., H. Jabari, B. Feyzi, K. Zeynal zadeh and S. Moradkhani. (2022). survey of temporal and spatial changes of vegetation and water of Kani Barazan wetland using Landsat 8 satellite images in the period of 2013-2016. Journal of Aquatic Ecology 12(1): 17-26. (In Persian)##20. Mandal, M. H., B. Yasmin, A. Roy, S. Ghosh and G. Siddique. (2022). Investigating present status of foodplain wtlands as habitat of water birds and its determinants: an experience from lower part of Deltaic West Bengal, India. Wetlands 42(7): 70-84.##21. Mao, D., Z. Wang, B. Du, L. Li, Y. Tian, M. Jia, Y. Zeng, K. Song, M. Jiang and Y. Wang. (2020). National wetland mapping in China: A new product resulting from object-based and hierarchical classification of Landsat 8 OLI images. ISPRS Journal of Photogrammetry and Remote Sensing 164: 11-25.##22. Moomaw, W. R., G. L. Chmura, G. T. Davies, C. M. Finlayson, B. A. Middleton, S. M. Natali, J. E. Perry, N. Roulet and A. E. Sutton-Grier. (2018). Wetlands in a changing climate: science, policy and management. Wetlands 38(2): 183-205.##23. Nazari, N., B. S. Esfandabad, J. Varvani, A. Ahmadi and H. Toranjzar. (2022). Land use changes around the wetland and diversity of waterfowl and shorebirds in Anzali, Almagol, Alagol, and Ajigol international wetlands (Iran). Journal of Water and Soil Management and Modeling 2(3): 27-39. (In Persian)##24. Newton, A., J. Icely, S. Cristina, G. M. Perillo, R. E. Turner, D. Ashan, S. Cragg, Y. Luo, C. Tu and Y. Li. (2020). Anthropogenic, direct pressures on coastal wetlands. Frontiers in Ecology and Evolution 8: e144.##25. Pritchard, D. (2022). The ‘ecological character’ of wetlands: a foundational concept in the Ramsar Convention, yet still cause for debate 50 years later. Marine and Freshwater Research 73(10): 1127-1133.##26. Rajpar, M. N. and M. Zakaria. (2011). Effects of water level fluctuation on waterbirds distribution and aquatic vegetation composition at natural wetland reserve, Peninsular Malaysia. ISRN Ecology 2011: e324038.##27. Rapinel, S., L. Panhelleux, G. Gayet, R. Vanacker, B. Lemercier, B. Laroche, F. Chambaud, A. Guelmami and L. Hubert-Moy. (2023). National wetland mapping using remote-sensing-derived environmental variables, archive field data, and artificial intelligence. Heliyon 9(2): e13482.##28. Roswell, M., J. Dushoff and R. Winfree. (2021). A conceptual guide to measuring species diversity. Oikos 130(3): 321-338.##29. Salarpour, R., M. Malekian and O. Ghadirian. (2021). Monitoring changes and ranking threat factors of Miangharan wetland, Khuzestan Province. Journal of Natural Environment 74(1): 83-95. (In Persian)##30. Salimi, S., S. Almuktar and M. Scholz. (2021). Impact of climate change on wetland ecosystems: A critical review of experimental wetlands. Journal of Environmental Management 286: 112160.##31. Spooner, F. E. B., R. G. Pearson and R. Freeman. (2018). Rapid warming is associated with population decline among terrestrial birds and mammals globally. Global Change Biology 24(10): 4521-4531.##32. Tavernia, B., T. Meehan, J. Neill and J. Luft. (2021). Hydrology affects shorebirds, waterfowl, and other waterbirds at Bear River Bay, a globally important bird area. Journal of Field Ornithology 92(4): 388–401.##33. Tooth, S. (2018). The geomorphology of wetlands in drylands: Resilience, nonresilience, or …? Geomorphology 305: 33-48.##34. Van Roomen, M., E. van Winden and H. van Diek. (2008). Iran-Dutch Cooperation in Waterbird Monitoring 2004-2007 The Netherlands: DoE, Islamic Republic of Iran. 32 pp.##35. Wetlands International. (2010). Guidance on waterbird monitoring methodology: Field protocol for waterbird counting. available at: https://www.wetlands.org/publications/iwc-guidance-field-protocol-for-waterbird-counting/. Accessed on 25 January 2020.##36. Xu, Q., L. Zhou, S. Xia and J. Zhou. (2022). Impact of urbanisation intensity on bird diversity in river and wetlands around Chaohu Lake, China. Animals 12(4): e473.## ##</REF>
			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>تنوع و ساختار ژنتیکی گوسفند وحشی در پارک ملی بمو در استان فارس با استفاده از نشانگرهای ریزماهواره</TitleF>
		<TitleE>Genetic Variation and Population Structure of Wild Sheep in Bamou National Park in Fars Province Using Microsatellite Markers</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>روش&#8204;های نمونه&#8204;برداری غیرتهاجمی، از جمله استخراج دی&#8204;ان&#8204;ای از سرگین، انجام مطالعات ژنتیک را برای پژوهشگران ژنتیک حفاظت تسهیل نموده، اما کیفیت و کمّیت دی&#8204;ان&#8204;ای استخراج شده همواره موضوع اصلی این روش&#8204;ها بوده است. در مطالعه حاضر تنوع و ساختار ژنتیکی گوسفند وحشی (Ovis gmelini) در پارک ملی بمو با نمونه&#8204;برداری به روش سواب سطح سرگین و با استفاده از هشت جفت آغازگر ریزماهواه ارزیابی شد. نتایج نشان داد که روش سواب سطح سرگین کارایی بالایی در تعیین ژنوتیپ افراد داشته و می&#8204;توان این روش را به&#8204;عنوان یک الگو برای سایر گونه&#8204;های جانوری پیشنهاد نمود. مقادیر هتروزیگوسیتی مورد انتظار بین 0/502 تا 0/943، هتروزیگوسیتی مشاهده شده بین 0/950 تا 1/00 و میانگین غنای آللی 8/87 بدست آمد که نشان از تنوع ژنتیکی قابل توجه در جمعیت دارد. همچنین میانگین شاخص درون&#8204;آمیزی بر اساس تمامی لوکوس&#8204;ها 0/052 محاسبه شد. نشانه&#8204;هایی از وقوع پدیده گردنه بطری در جمعیت در گذشته نزدیک مشاهده نشد. علی&#8204;رغم تنوع ژنتیکی مناسب در جمعیت موجود، قطع ارتباطات ژنی بین این جمیعت با جمعیت&#8204;های مجاور و تهدیدات جهانی همچون تغییرات اقلیمی، ضرورت اجرای برنامه&#8204;های معرفی افراد جدید به جمعیت با هدف حفظ پتانسیل تکاملی گونه را دو چندان می&#8204;نماید. &#160;&#160;</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>Non-invasive sampling methods, such as scat sampling, have facilitated genetic studies for conservation genetics researchers, however, the quality and quantity of extracted DNA have always been the main issues with these methods. In the current study, the genetic variation and population structure of wild sheep (Ovis gmelini) in Bamou National Park (Fars, Iran) were evaluated using the swabbing technique and eight microsatellites. The sampling method used showed high efficiency in genotyping individuals and can be considered &#160;for use with other species. Expected and observed heterozygosity ranged from 0.502 to 0.943 and 0.950 to 1.00, respectively, and the mean allele richness was 8.87, indicating considerable genetic variation in the population. In addition, inbreeding coefficient across all loci was 0.052. There was no evidence of a bottleneck in the population in the recent past. Despite the high level of genetic variation, the lack of gene flow between populations, and global threats such as climate change, highlight the necessity of implementing reintroduction programs to maintain the evolutionary potential of the species.&#160;&#160;</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>45</FPAGE>
			<TPAGE>56</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/92024/01/202024/03/112024/05/20
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1403/2/31
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/72024/04/222024/05/192024/06/20
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/3/31
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>دل آرا</Name>
				<MidName></MidName>
				<Family>محمودی</Family>
				<NameE>D.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Mahmoudi</FamilyE>
				<Organizations>
				<Organization>دانشگاه شیراز</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>dlaramahmoodi.dm@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رسول</Name>
				<MidName></MidName>
				<Family>خسروی</Family>
				<NameE>R.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Khosravi</FamilyE>
				<Organizations>
				<Organization>دانشگاه شیراز</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>r-khosravi@shirazu.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>محمد</Name>
				<MidName></MidName>
				<Family>کابلی</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Kaboli</FamilyE>
				<Organizations>
				<Organization>دانشگاه تهران</Organization>
				</Organizations>
				<Countries>
				<Country>یران</Country>
				</Countries>
				<EMAILS>
				<Email>mkaboli@ut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رویا</Name>
				<MidName></MidName>
				<Family>آداودی</Family>
				<NameE>R.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Adavoudi</FamilyE>
				<Organizations>
				<Organization>دانشگاه گدانسک</Organization>
				</Organizations>
				<Countries>
				<Country>لهستان</Country>
				</Countries>
				<EMAILS>
				<Email>roya.adavoudi@gmail.com</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Inbreeding</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Bottleneck</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Swab sampling</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Non-invasive sampling</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>درون‌آمیزی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>گردنه بطری</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>نمونه‌برداری به روش سواب</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>نمونه‌برداری غیرتهاجمی</KeyText>
			</KEYWORD>
		</KEYWORDS>

		<REFRENCES>
			<REFRENCE>
				<REF>1.	Alnajm, H., S. Alijani., A. Javanmard., S. A. Rafat and K. Hasanpur. 2021. Genetic diversity analysis of four sheep breeds of Iran: Towards genetic maintenance and conservation decision. Iranian Journal of Applied Animal Science 11(3): 527-538.##2.	Blomqvist, D., A. Pauliny., M. Larsson and L. A. Flodin. 2010. Trapped in the extinction vortex? Strong genetic effects in a declining vertebrate population. BMC Evolutionary Biology 10: 1-9.##3.	Bourgeois, S., J. Kaden., H. Senn., N. Bunnefeld., K. J. Jeffery., E. F. Akomo-Okoue., R. Ogden and R. McEwing. 2019. Improving cost-efficiency of faecal genotyping: New tools for elephant species. PloS one 14(1): e0210811##4.	Brinkman T. J., M. K. Schwartz., D. K. Person., K. L. Pilgrim and K. J. Hundertmark. 2010. Effects of time and rainfall on PCR success using DNA extracted from deer fecal pellets. Conservation Genetics 11: 1547–1552.##5.	Chapuis, M. P and A. Estoup. 2007. 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			</REFRENCE>
		</REFRENCES>

	</ARTICLE>


	<ARTICLE> 
		<TitleF>بررسی دامنه پراکنش بوم شناختی و اثر عوامل محیطی بر پراکنش گونه‌های مهم چوبی جنگل‌های زاگرس در استان ایلام</TitleF>
		<TitleE>Investigating the Ecological Range Distribution and Environmental Factors Affecting the Distribution of Woody Species in the Zagros Forests of Ilam Province</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مطالعه حاضر با هدف بررسی دامنه بوم شناختی گونه&#8204;های چوبی و مهمترین عوامل مؤثر بر پراکنش آنها در جنگل&#8204;های زاگرس استان ایلام انجام شد. خصوصیات فیزیکیوشیمیایی خاک و عوامل توپوگرافی در 109 قطعه نمونه دایره&#8204;ای شکل500 مترمربعی در چهار منطقه جنگلی با دامنه ارتفاعی 2400-800 متر از سطح دریا بررسی شد. فاصله عمودی قطعات نمونه در جهت شیب برابر با 100 متر و فاصله مسیرهای نمونه&#8204;برداری از 500 تا 1000 متر متغیر بود. دامنه پراکنش بوم شناختی بر اساس مهمترین عوامل مؤثر در پراکنش گونه&#8204;ها محاسبه شد. نتایج نشان داد که مهمترین عوامل پراکنش گونه&#8204;های چوبی در زاگرس عبارتند از درصد رس، پتاسیم، نیتروژن، کربن، شن، فسفر و ارتفاع از سطح دریا (متر). گونه&#8204;های تنگرس (Amygdalus orientalis)، شن (Lonicera &#160;nummularifolia)، دافنه (Daphnae &#160;mucronata) محلب (Cerasus mahaleb) و کیکم (Acer monspessulanum) در ارتفاعات بالا و دارای بیشترین میزان عناصر کربن، نیتروژن، پتاسیم و فسفر بودند. بلوط ایرانی (Quercus brantii) همراه با کیکم و دافنه به ترتیب &#160;بیشترین و بنه (Pistacia atlantica)، بادام (Amygdalus arabica) و ارژن (Amygdalus orientalis) به ترتیب کمترین مقادیر شاخص آشیان بوم شناختی را نشان دادند. به&#8204;طور کلی نتایج نشان داد که عوامل توپوگرافی و خاکی در پراکنش گونه&#8204;های چوبی در منطقه مورد مطالعه نقش تعیین کننده&#8204;ای دارند.&#160;</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>The present survey was conducted to investigate the ecological distribution range of woody species and the most important factors affecting their distribution in the Zagros forests of Ilam province. physical and chemical characteristics of soil, as well as topographical factors, were assessed in 109 circular sampling plots with an area of 500 m2 n four forest areas with an altitude range of 800-2400 m. The vertical distance of the plots on the slope aspect was 100 m, and the distance of the sampling routes varied from 500-1000 m. ecological distribution range index was calculated based on the most important factors affecting species distribution. Based on the Principal Component Analysis (PCA), the most significant factors include: the percentage of theclay, Potassium, nitrogen, carbon, sand, phosphorus, and altitude. species such as Amygdalus orientalis, Lonicera nummularifolia, Daphne mucronata and Cerasus mahaleb and Acer monspessulsnum were found at hight altitudes with the highest levels of carbon, nitrogen, potassium and phosphorus. In addition, Quercus brantii along with Acer monspessulanum and Daphne mucronata showed the highest ecological distribution range while Pistacia atlantica, Amygdalus arabica and Amygdalus orientalis species respectively has the lowest values. Overal, results indicate that topography and soil factors play an important role in the distribution of woody species in the studied areas.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>57</FPAGE>
			<TPAGE>73</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/92024/01/202024/03/112024/05/202024/02/14
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1402/11/25
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/72024/04/222024/05/192024/06/202024/07/3
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/4/13
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>علی</Name>
				<MidName></MidName>
				<Family>نجفی فر</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Najafifar</FamilyE>
				<Organizations>
				<Organization>مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان ایلام</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>alinajafifar@yahoo.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>ناهید</Name>
				<MidName></MidName>
				<Family>جعفریان</Family>
				<NameE>N.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jafarian</FamilyE>
				<Organizations>
				<Organization>مرکز تحقیقات و آموزش کشاورزی و منابع طبیعی استان ایلام</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>n.jafarian@areeo.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Ecological range</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Habitat</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Woody species</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Zagros forests</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Ilam province</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص ‌دامنه پراکنش</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>رویشگاه</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>گونه‌های چوبی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>زاگرس</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>ایلام</KeyText>
			</KEYWORD>
		</KEYWORDS>

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	</ARTICLE>


	<ARTICLE> 
		<TitleF>ارزیابی تغییرات مکانی- زمانی شاخص سطح برگ و دمای سطح زمین در مناطق زیست اقلیمی شمال ایران</TitleF>
		<TitleE>Evaluation of Spatio -Temporal Changes in Leaf Area Index and Land Surface Temperature in the Bioclimatic Regions of Northern Iran</TitleE>
		<TitleLang_ID>1</TitleLang_ID>
		<ABSTRACTS>
			<ABSTRACT>
			<Language_ID>1</Language_ID>
			<CONTENT>مطالعه حاضر با هدف بررسی تغییرات مکانی- زمانی شاخص سطح برگ (Leaf Area Index, LAI) و دمای سطح زمین (Land Surface Temperature, LST) در مناطق زیست&#8204;اقلیمی شمال کشور صورت گرفت. بدین منظور از سری زمانی ماهانهLAI &#160;و LST، تولیدات سنجنده مودیس (MODIS) برای کاربری های مرتع و جنگل طی سال&#8204;های 2001 تا 2022 استفاده شد. برای بررسی روند شاخص های مورد مطالعه، بدلیل وجود خودهمبستگی معنی دار در سری زمانی از آزمون من کندال پیش سفید شده استفاده شد. شیب خط روند با استفاده از آزمون شیب تخمین گر سن محاسبه شد. نتایج نشان داد که در دوره مطالعه، در تمامی مناطق زیست اقلیمی، شاخص سطح برگ رو به افزایش است. همچنین، در اکوسیستم&#8204;های جنگلی، ارتباط مستقیم بین LAI و LST در تمام فصول سال مشاهده شد، در حالی که در اکوسیستم&#8204;های مرتعی، ارتباط مستقیم در بهار و تابستان و ارتباط معکوس در پاییز و زمستان وجود داشت. روند افزایشی سبز شدن در مراتع مربوط به مناطق نیمه&#8204;خشک و شدیداً بادی (Z=2/944) و جنگل های مناطق معتدل با رطوبت نسبی خیلی بالا (Z=2/825 ) بسیار معنی دار بود. شناسایی و تحلیل ارتباط بین تغییرات LAI و LST می&#8204;تواند به توسعه راهکارهای مدیریتی مؤثر برای بهبود کیفیت اکوسیستم های شمال کشور و سازگاری با تغییرات اقلیمی کمک کند.</CONTENT>
			</ABSTRACT>
			<ABSTRACT>
			<Language_ID>2</Language_ID>
			<CONTENT>The present study aimed to investigate &#160;the spatio - temporal changes in&#160; Leaf Area Index (LAI) and Land Surface Temperature (LST). This research examined the spatial and temporal trends of LST and LAI across the climatic zones of northern Iran from 2001 to 2022, analyzing the data both seasonally and annually using the remote sensing data from MODIS. To assess the trends in the indices studied, the prewhitened Mann-Kendall test was employed due to the significant autocorrelation present in the time series. The trend slope was calculated using&#160; Sen&#39;s slope estimator. The results showed that during the study period, the leaf area index (LAI) increased across all bioclimatic zones. In forest ecosystems, a direct relationship between LAI and LST was observed in all seasons. In contrast,&#160; rangeland ecosystems exhibited a&#160; direct relationship in spring and summer, but an inverse relationship in autumn and winter. The Z-values were 2.825 for forests in humid temperate areas and 2.944 for rangelands in semi-arid, windy regions, both indicating a significant greening trend at a 99% confidence level. Analyzing the relationship between changes in LAI and LST can help develop effective management strategies to enhance ecosystem quality in northern regions and adapt to climate change.</CONTENT>
			</ABSTRACT>
		</ABSTRACTS>

		<PAGES>
			<PAGE>
			<FPAGE>75</FPAGE>
			<TPAGE>90</TPAGE>
			</PAGE>
		</PAGES>

		<RECEIVE_DATE>
			2024/01/92024/01/202024/03/112024/05/202024/02/142024/05/25
		</RECEIVE_DATE>

		<RECEIVE_DATE_FA>
			1403/3/5
		</RECEIVE_DATE_FA>

		<ACCEPT_DATE>
			2024/05/72024/04/222024/05/192024/06/202024/07/32024/09/22
		</ACCEPT_DATE>

		<ACCEPT_DATE_FA>
			1403/7/1
		</ACCEPT_DATE_FA>

		<AUTHORS>
			<AUTHOR>
				<Name>آزاده</Name>
				<MidName></MidName>
				<Family>بذرمنش</Family>
				<NameE>A.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Bazrmanesh</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان، دانشکده منابع طبیعی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>azade.bazrmanesh@gmail.com</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>سعید</Name>
				<MidName></MidName>
				<Family>سلطانی کوپائی</Family>
				<NameE>S.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Soltani Koupaei</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان، دانشکده منابع طبیعی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>ssoltani@cc.iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>مصطفی</Name>
				<MidName></MidName>
				<Family>ترکش اصفهانی</Family>
				<NameE>M.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Tarkesh Esfahani</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان، دانشکده منابع طبیعی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>m_tarkesh@iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>

			<AUTHOR>
				<Name>رضا</Name>
				<MidName></MidName>
				<Family>جعفری</Family>
				<NameE>R.</NameE>
				<MidNameE></MidNameE>
				<FamilyE>Jafari</FamilyE>
				<Organizations>
				<Organization>دانشگاه صنعتی اصفهان، دانشکده منابع طبیعی</Organization>
				</Organizations>
				<Countries>
				<Country>ایران</Country>
				</Countries>
				<EMAILS>
				<Email>reza.jafari@iut.ac.ir</Email>
				</EMAILS>
			</AUTHOR>
		</AUTHORS>


		<KEYWORDS>
			<KEYWORD>
				<KeyText>Leaf area index</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Land surface temperature</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Trend analysis</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Climatic zones</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Sen's slope estimator</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>Prewhitend Mann-Kendall.</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شاخص سطح برگ</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>دمای سطح زمین</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>تحلیل روند</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>پهنه های زیست اقلیمی</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>شیب تخمین گر سن</KeyText>
			</KEYWORD>

			<KEYWORD>
				<KeyText>من کندال پیش سفید شده</KeyText>
			</KEYWORD>
		</KEYWORDS>

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