%0 Journal Article %A YANG Qingyuan %A BI Guohua %A CHEN Zhantu %A ZENG Li %A YANG Renhao %T Spatial allocation of fallow land in karst rocky desertification areas: A case study in Qinglong County, Guizhou Province %D 2018 %R 10.11821/dlxb201811015 %J Acta Geographica Sinica %P 2250-2266 %V 73 %N 11 %X

Fallow is important to promote the recuperation of cultivated land and enhance the sustainable development of agriculture and society. To examine the direction of fallow, this paper developed a conceptual framework and logical process to select fallow regions. First, the fallow regions were selected by diagnosing the cultivated land vulnerability using the VSD model, grey GM(1, 1) model and GIS spatial analysis methods. Second, the fallow scales were revised based on the restriction of cultivated land quantity. Third, the fallow regions were determined in ecological vulnerable karst areas. The results indicate that: (1) The farmland ecosystem in Qinglong County is in quite a dire state, with more than 70% of arable land in the county classified as very vulnerable or extremely vulnerable. Improvement of the land use pattern through fallowing is urgently needed to promote restoration of the ecosystem. (2) Under the constraints of food security, the fallow areas reach 13540.05 ha in the period of 2015-2020, or 37.18% of cultivated land in the county. (3) According to the fallow area, quality, landforms, and location of cultivated land and socioeconomic development levels, the fallow regions in Qinglong can be divided into three "grades" and five "types", which can be converted to the fallow land in the future. The implementation of fallow policies should consider the local conditions, so as to formulate different fallow modes and organizational form. (4) The fallow region-selecting is an optimizing process of fallow based on the two constraints of "object" and "scale". In the process, identification is the base, scale prediction is the constraint and implementation of fallow project is the final product.

%U https://www.geog.com.cn/EN/10.11821/dlxb201811015