کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8866291 1620996 2018 34 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Degradation trends based on MODIS-derived estimates of productivity and water use efficiency: A case study for the cultivated pastures in the Brazilian Cerrado
موضوعات مرتبط
مهندسی و علوم پایه علوم زمین و سیارات کامپیوتر در علوم زمین
پیش نمایش صفحه اول مقاله
Degradation trends based on MODIS-derived estimates of productivity and water use efficiency: A case study for the cultivated pastures in the Brazilian Cerrado
چکیده انگلیسی
Understanding spatial and temporal variations of the agronomic conditions of cultivated pastures is essential for defining guidelines and actions of public and private policies to increase livestock productivity. Within this context, this study aimed to evaluate the trends of degradation of the Cerrado biome cultivated pastures found in Minas Gerais State, Brazil (as produced by the TerraClass Cerrado Landsat-based mapping project, led by the Ministry of Environment of Brazil). The study was based on water use efficiency (WUE) estimates derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) data from 2003 to 2014. WUE corresponds to the relation between net primary productivity (NPP) and actual evapotranspiration (AE). NPP values were based on enhanced vegetation index (EVI) time series obtained from the MOD/MYD13 products, while monthly AE data were obtained from the MOD16A2 product. Based on the WUE estimates, ~ 39.1% (4.6 million hectares) of the total cultivated pastures in the study area presented negative trends (p ≤ 0.20) (19.3% for p ≤ 0.05; 8.6% for 0.05 < p ≤ 0.1; and 11.2% for 0.1 < p ≤ 0.2), due to decreasing trends in precipitation and poor pasture management, suggesting different stages of degradation. Overcoming such degradation patterns can help increasing the beef production in this region and reducing the rate of conversion of natural vegetation to new pasturelands.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Remote Sensing Applications: Society and Environment - Volume 11, August 2018, Pages 30-40
نویسندگان
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