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Variation in Cropping Intensity in Northern China from 1982 to 2012 Based on GIMMS-NDVI Data

机译:基于GIMMS-NDVI数据的1982年至2012年中国北方农作物种植强度变化

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Cropping intensity is an important indicator of the intensity of cropland use and plays a very important role in food security. In this study, we reconstructed a normalized difference vegetation index (NDVI) time-series from 1982 to 2012 using the Savitzky-Golay (S-G) technique and used it to derive a multiple cropping index (MCI) combined with land use data. Spatial–temporal patterns of variation in the MCI of northern China were as follows: (1) The MCI in northern China increased gradually from north-west to south-east; from 1982 to 2012, the mean cropping index across grid-cells over the study area increased by 4.36% per 10 years ( p < 0.001) with fluctuations throughout the study period; (2) The mean MCI across grid-cells over the whole of northern China increased from 107% to 115% with all provinces showing an increasing trend throughout the 1980s and 1990s. Aside from Tianjin, Hebei, Beijing, and Shandong, all provinces also displayed an increasing trend between the 1990s and 2000s. Arable slope played an important role in the variation of the MCI; regions with slope ≤3° and the regions with slope >3° were characterized by inverse temporal MCI trends; (3) Drivers of change in the MCI were diverse and varied across different spatial and temporal scales; the MCI was affected by the changing agricultural population, deployment of food policies, and methods introduced for maximizing farmer benefits. For the protection of national food security, measures are needed to improve the MCI. However, more attention should also be given to the negative impacts that these measures may have on agricultural sustainability, such as soil pollution by chemical fertilizers and pesticides.
机译:耕种强度是耕地利用强度的重要指标,在粮食安全中起着非常重要的作用。在这项研究中,我们使用Savitzky-Golay(S-G)技术重建了1982年至2012年的归一化差异植被指数(NDVI)时间序列,并使用它来结合土地利用数据得出多重作物指数(MCI)。中国北方地区MCI的时空变化规律如下:(1)中国北方地区MCI由西北向东南逐渐增加;从1982年到2012年,研究区域内网格单元的平均种植指数每10年增加4.36%(p <0.001),并且在整个研究期间都有波动。 (2)整个中国北方整个网格单元的平均MCI从107%上升到115%,所有省份在1980年代和1990年代都呈上升趋势。除天津,河北,北京和山东外,所有省份在1990年代至2000年代之间也呈上升趋势。耕地坡度在MCI的变化中起着重要作用。坡度≤3°的区域和坡度> 3°的区域以时间MCI逆趋势为特征; (3)MCI变化的驱动因素是多样的,并且在不同的时空尺度上变化; MCI受不断变化的农业人口,粮食政策的部署以及为最大限度地提高农民利益而采用的方法的影响。为了保护国家粮食安全,需要采取措施来改善MCI。但是,也应更加注意这些措施可能对农业可持续性产生的负面影响,例如化肥和农药对土壤的污染。

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