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مدل‌سازی پیش‌بینی رویشگاه گونۀ دارویی Rheum ribes L. با استفاده از مدل آنتروپی حداکثر (Maxent) در مراتع چاه ترش استان یزد | ||
| نشریه علمی - پژوهشی مرتع و آبخیزداری | ||
| مقاله 7، دوره 71، شماره 2، شهریور 1397، صفحه 379-391 اصل مقاله (1.35 M) | ||
| نوع مقاله: مقاله پژوهشی | ||
| شناسه دیجیتال (DOI): 10.22059/jrwm.2018.200398.968 | ||
| نویسندگان | ||
| محمدعلی زارع چاهوکی* 1؛ محبوبه عباسی2 | ||
| 1استاد دانشکدۀ منابع طبیعی، دانشگاه تهران | ||
| 2دانشجوی دکتری مرتعداری، دانشکدۀ منابع طبیعی، دانشگاه تهران | ||
| چکیده | ||
| گونۀ Rheum ribes یکی از گیاهان دارویی مهم در جهان به شمار می‌رود. در این مطالعه به منظور تهیۀ نقشۀ پیش‌بینی رویشگاه این گونه از روش آنتروپی حداکثر (Maxent) و از نرمافزار MAXENT استفاده شد. متغیرهای محیطی اندازه‌گیری شده بهعنوان متغیرهای تأثیرگذار بر حضور گونه شامل متغیرهای خاکی از جمله درصد سنگریزه، اسیدیته، هدایت الکتریکی، درصد آهک، درصد گچ، مادةآلی، املاح محلول (کلسیم، سدیم، پتاسیم، منیزیم، کلر، کربنات، بی‌کربنات و سولفات)، درصد شن، رس و سیلت و متغیرهای توپوگرافی منطقه (شیب، جهت و ارتفاع) و نیز متغیر بارندگی بودند. دقت طبقه‌بندی مدل با استفاده از سطح زیر منحنی (AUC) مقدار 95% بهدست آمد (سطح خوب) و ضریب کاپای بهدست آمده از بررسی میزان تطابق نقشة پیش‌بینی با واقعیت زمینی نیز مقدار 92/0 بهدست آمد که در سطح عالی قرار داشت. بررسی نتایج این تحقیق نشان داد که رویشگاه این گونه در خاک‌هایی با اسیدیتۀ پایین (کمتر از 8)، بافت سبک و مادۀ آلی (بیشتر از 4/0 درصد) قرار دارد و حضور این گونه با متغیرهای اسیدیتۀ هر دو عمق و رس عمق اول رابطۀ معکوس و با مادۀ آلی هر دو عمق رابطۀ مستقیم داشت. | ||
| کلیدواژه‌ها | ||
| نقشۀ پیش‌بینی رویشگاه؛ آنتروپی حداکثر (Maxent)؛ Rheum ribes | ||
| عنوان مقاله [English] | ||
| Habitat prediction model medicinal species of Rheum ribes L. with Maximum Entropy model in Chahtorsh rangeland of the Yazd province | ||
| نویسندگان [English] | ||
| Mohammad Ali Zare Chahouki1؛ mahbobe abbasi2 | ||
| 1t | ||
| 2tehran university | ||
| چکیده [English] | ||
| Rheum ribes species is one of the important medicinal plants in the world. In this study were used maximum entropy method (Maxent) and the MAXENT software to this prediction habitat map. Measure environmental variables was soil variables including gravel percentage, pH, electrical conductivity, percent lime, gypsum, organic matter, soluble salts (Ca+, Na+, K+, Mg2+, CL, HCO3, SM and SO2), sand, clay and silt and variable topography (slope, aspect and elevation) and rainfall variable. Those were effective variables on the presence of species. The model classification accuracy using the area under the curve (AUC) was 95% (good Level), and kappa coefficient was obtained 0.92 that measuring from the agreement of prediction maps with ground truth, which is at a high level. The results of this study showed that the habitat of this species is in the soils with low pH (less than 8), clay Low (less than 40%), coarse texture and organic matter more than 4.0 percent. And the presence of this species has inverse relationship with a pH of both the depth and the clay first depth and with has directly relationship to organic matter of both depths. | ||
| کلیدواژه‌ها [English] | ||
| Habitat Prediction map, Maximum entropy, Rheum ribes, Poshtkouh | ||
| مراجع | ||
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