中国农田熟制资源地理分布数据

多熟种植是中国农业种植制度的重要特征和提高粮食产量的有效途径。中国农田熟制资源地理分布数据（CropSysChina）是基于DEM数据、土壤数据、耕地分布数据以及气象数据，采用由FAO（联合国粮农组织）和IIASA（国际应用系统研究所）共同研发的GAEZ模型估算获得的。该数据包括灌溉和雨养两种情景下1960年至2010年的逐年代中国农田潜在熟制空间分布数据。该数据有效反映了气候变化背景下中国农田熟制的时空差异，是掌握我国农业生产活动状况、挖掘农业生产潜力、保证农业可持续发展的重要参考数据和基础性数据。

Multiple cropping is a pivotal characteristic of China's agricultural cropping systems and an effective approach to boosting grain yields. The Geographic Distribution Dataset of Cropping Regime Resources in China’s Cropland (CropSysChina) was estimated using the GAEZ model jointly developed by the Food and Agriculture Organization of the United Nations (FAO) and the International Institute for Applied Systems Analysis (IIASA), based on DEM data, soil data, cropland distribution data, and meteorological data. This dataset provides spatially distributed decadal data on potential cropping regimes of China’s cropland from 1960 to 2010 under both irrigated and rainfed scenarios. It effectively reflects the spatio-temporal variations in cropping regimes of China’s cropland amid climate change, serving as a critical reference and foundational dataset for understanding China’s agricultural production activities, tapping into agricultural production potential, and ensuring sustainable agricultural development.

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背景与挑战

背景概述

中国农田熟制资源地理分布数据（CropSysChina）是基于DEM、土壤、耕地分布及气象数据，利用GAEZ模型估算的1960-2010年逐年代潜在熟制空间分布数据，涵盖灌溉和雨养两种情景，反映气候变化背景下农田熟制的时空差异，是农业可持续发展的重要参考。