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مدلسازی مطلوبیت زیستگاه گوسفند وحشی (Ovis orientalis) در استان مرکزی با استفاده از مدلهای درخت پایه | ||
فصلنامه علمی زیست شناسی جانوری تجربی | ||
مقاله 10، دوره 8، شماره 4، خرداد 1399، صفحه 109-121 اصل مقاله (886.53 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.30473/eab.2019.44348.1683 | ||
نویسندگان | ||
پیمان کرمی1؛ کامران شایسته* 2 | ||
1دکتری محیط زیست، گروه محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه ملایر کد پستی 95863-65719 | ||
2استادیار گروه محیط زیست، دانشکده منابع طبیعی و محیط زیست، دانشگاه ملایر، کد پستی 95863-65719 | ||
چکیده | ||
بهمنظور بررسی مطلوبیت زیستگاه گوسفند وحشی (Ovis orientalis) در استان مرکزی، از مدلهای متکی بر دادههای حضور/عدم حضور شامل جنگل تصادفی و درخت طبقهبندی و رگرسیون استفاده شد. به این منظور، تعداد 215 نقاط حضور از مناطق راسوند، چال خاتون، الوند، پلنگاب، هفتاد قله، جاسب، کلاهه، برازجان و خرقان به همراه 10000 نقطه عدم حضور وارد مدلسازی شدند. 30 درصد نقاط حضور/عدم حضور بهصورت تصادفی به آزمون اختصاص داده شدند. در اجرای مدل، از 12 متغیر تأثیرگذار در پراکنش قوچ و میش استفاده شد. با استفاده از آزمون یودن حدآستانه مناسب محاسبه شد. اعتبار سنجی برای نقشههای پیوسته و باینری با استفاده آمارههای مربوطه انجام گرفت. بر اساس نتایج مدل جنگل تصادفی نسبت به مدل درخت طبقهبندی و رگرسیون کارایی بیشتری داشت. یافتههای دو مدل نشان داد که فاصله از مراتع باکیفیت با تیپ پوششهای Astragalus-Agropyrum و Artemisia sieberi-Stipa، بیشترین تأثیر را در پراکنش گونه دارند. در روش درخت طبقهبندی، متغیرهای ارتفاع و فاصله از مراتع فقیر و در روش جنگل تصادفی ارتفاع و شیب در ردههای بعدی ازنظر تأثیرگذاری بر مطلوبیت زیستگاه هستند. مناطق الوند، چال خاتون، راسوند، کلاهه، خرقان و جاسب جز مناطق حفاظتشدهای هستند که بیش از نیمی از وسعت آنها برای قوچ و میش بهعنوان زیستگاه بالقوه مطلوب است. این یافته لزوم حفاظت بیش از پیش زیستگاه گونه در مناطق مذکور را آشکار میکند. نتایج این مطالعه کارایی روش جنگل تصادفی در مدلسازی زیستگاه را بهعنوان یک روش غیر پارامتری، منعطف و تفسیرپذیر نشان میدهد. | ||
کلیدواژهها | ||
استان مرکزی؛ جنگل تصادفی؛ درخت طبقهبندی و رگرسیون؛ قوچ و میش؛ مطلوبیت زیستگاه | ||
عنوان مقاله [English] | ||
Habitat Suitability Modeling of Wild Sheep (Ovis orientalis) in Markazi Province by using Tree-Based Models | ||
نویسندگان [English] | ||
Peyman Karami1؛ Kamran Shayesteh2 | ||
1Ph.D. of Environmental Sciences, Department of Environmental Sciences, faculty of Natural resources and Environmental Sciences Malayer University, 65719-95863 | ||
2Assistant Professor, Department of Environmental Sciences, faculty of Natural resources and Environmental Sciences Malayer University, 65719-95863 | ||
چکیده [English] | ||
To investigate habitat suitability of Wild Sheep in Markazi province, presence/absent methods including Random Forest (RF), and Classification and Regression Tree (CART) were used. For this purpose, 215 presence points of the species from Rasvand, Chal-khtoon,, Alvand, Polangab, Haftad Gholeh, Jasb, Kolahe, Bazarjan and Kharaghan protected areas along with 10000 pseudo-absences points from the entire province were included in the modeling. 30% of the presence/absence points were randomly assigned to the test. In performing of the model, 12 effective variables regarding distribution of Wild Sheepwere used. By using Youden test appropriate threshold was calculated. Validation of continuous and binary maps was performed by using related statistics. According to the results, the RF model was more efficient than the CART. The findings of the two models showed that the distance from the high quality rangelands with the type of Astragalus-Agropyrum, Artemisia sieberi-Stipa, has the most effect on the distribution of species. In the tree CART method, the altitude and distance from poor rangelands variables and in the RF method, altitude and slope are in the later stages from affecting the habitat suitability point of view. Alvand, Chal-khtoon, Rasvand, Kolahe, Kharqan and Jasb are areas that more than half of their extent is suitable for Wild Sheep as a potential habitat. This find reveal the need for more protection of Wild Sheep habitat in these areas. The results of this study show the efficiency of the RF method in habitat modeling as a nonparametric, flexible and interpretable method. | ||
کلیدواژهها [English] | ||
Classification and Regression Tree, habitat suitability, Markazi Province, Random forest, wild sheep | ||
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