کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6546691 | 1421811 | 2018 | 9 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
A risk-based model for grassland management using MODIS data: The case of Gannan region, China
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کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
جنگلداری
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The grassland classification management model is considered to be a sustainable approach for grassland resources use. However, it is difficult to accurately calculate the index of classification management of grasslands (ICG) due to high variability of grassland productivity and livestock prices. Inaccurate ICG indices may lead to adoption of unreliable grassland management strategies. To overcome the problem, this article introduces a risk-based ICG model accounting for sheep prices, grassland productivity, and their variability. In this model, grassland forage dry biomass and coverage from 2001 to 2016 were estimated with enhanced vegetation index (EVI) of each pixel in MODIS using the power model and logarithmic model, respectively. A simple linear regression model was employed to estimate sheep prices. Finally, the ICGm was estimated by variability of grassland productivity and sheep prices derived from the models. A test of the performance of the model showed that the area of conservative and moderately productive grassland predicted with the risk-based model fits very well with the observed area. This risk-based ICG model thus provides a reliable tool for classification management of grassland.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Land Use Policy - Volume 72, March 2018, Pages 461-469
Journal: Land Use Policy - Volume 72, March 2018, Pages 461-469
نویسندگان
Ying Liu, Qisheng Feng, Chenggang Wang, Zeng Tang,