کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5758654 | 1623006 | 2017 | 27 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Mapping key soil properties to support agricultural production in Eastern China
ترجمه فارسی عنوان
نقشه کشی خواص خاک برای حمایت از تولیدات کشاورزی در شرق چین
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کلمات کلیدی
خواص خاک، توزیع فضایی، فاکتورهای محیطی، کوبیست، رگریس کریگینگ، عدم قطعیت،
موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
فرآیندهای سطح زمین
چکیده انگلیسی
The spatial prediction of soil attributes plays important roles in establishing areas for agricultural development and sustainable land management. This paper aimed to model and map various soil properties (i.e. texture, pH, and soil organic matter content) at a spatial resolution of 90Â m across a 21Â million-ha. area in Eastern China using 2895 legacy topsoil observations coupled with freely available covariates (i.e. DEM, Landsat, Climate and Radar data). A decision tree model (Cubist) and a Regression Kriging (RK) approach were used in the modelling process. The prediction results showed that the RK approach achieved high accuracy in predicting the spatial distributions of soil properties that were affected by human activities (i.e. soil pH and organic matter content). Moreover, DEM data decomposed to different spatial scales and climate factors were found to be the most important predictors in this study area. It was concluded that the current methodology can be readily expanded to the whole China using existing soil data as a contribution to the GlobalSoilMap project.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Geoderma Regional - Volume 10, September 2017, Pages 144-153
Journal: Geoderma Regional - Volume 10, September 2017, Pages 144-153
نویسندگان
Yuxin Ma, Budiman Minasny, Chunfa Wu,