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Abandoned cropland: Patterns and determinants within the Guangxi Karst Mountainous Area, China

机译:被遗弃的农作物:中国广西喀斯特山区内的模式和决定因素

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Cropland abandonment because of rural depopulation or policy interventions has become a key issue in Chinese mountainous areas. One such region is the Guangxi Karst Mountainous Area (GKMA), a zone where more than 59% of total land area is hilly. Although depopulation and declining agriculture since 2000 within the GKMA have led to vast areas of abandoned cropland, the spatiotemporal distribution that underlies this pattern as well as its causes remain little understood. We therefore estimated the extent of cropland abandonment since 2001 within this region using land use trajectories derived from Moderate Resolution Imaging Spectroradiometer (MODIS) Normalized Difference Vegetation Index (NDVI) data alongside phenology metrics. The results of this analysis show that 4.89% (0.56 x 10(4) km(2)) of land within the GKMA has been abandoned since 2001. Specifically, within four sub-periods (between 2001 and 2005, between 2005 and 2010, between 2011 and 2015, and between 2016 and 2019), overall trends were characterized by an initial increase and then slight decrease in cropland abandonment rate (CAR); 10.67%, 14.71%, 23.13%, and 21.26% over these time periods, respectively. Data also show that CAR spatial distribution tends to be similar to adjacent areas. We then utilized a geographical detector model (GDM) and Spearman correlation analysis to assess the effects of environmental and socioeconomic variables on cropland abandonment patterns. Data show that environmental factors have generally exerted a more significant effect on cropland abandonment within the GKMA than socioeconomic variables. Interactions between determinants have also either exerted non-linear-enhanced or bi-enhanced effects on cropland abandonment over time.
机译:由于农村缺课或政策干预因中国山区的关键问题,农田遗弃。一个这样的地区是广西喀斯特山区(GKMA),一个区域超过陆地面积的59%是丘陵。虽然自2000年以来的农业划分和下降的农业,但导致了广大领域的废弃农田,这是这种模式的不久性分布,以及其原因仍然很少理解。因此,我们估计自2001年自2001年以来,使用来自中等分辨率成像分光仪(MODIS)归一化差异植被指数(NDVI)数据的土地利用轨迹在该地区内的农田放弃程度。此分析结果表明,自2001年以来,GKMA内部的4.89%(0.56 x 10(4)公里(2)公里2011年至2015年间,在2016年和2019年之间),整体趋势的特点是初步增加,然后在农田遗弃率(汽车)略微下降;在这些时间段内分别为10.67%,14.71%,23.13%和21.26%。数据还表明,汽车空间分布往往与相邻区域类似。然后,我们利用了地理检测器模型(GDM)和Spearman相关分析,以评估环境和社会经济变量对农田遗弃模式的影响。数据显示,环境因素普遍对农作物的群体群体施加了更大的影响,而不是社会经济变量。决定簇之间的相互作用也在随着时间的推移对农田遗弃的非线性增强或双增强的影响。

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