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生态修复项目对土地覆盖变化的影响:以中国黄土高原为例。

Effects of ecological restoration projects on changes in land cover: A case study on the Loess Plateau in China.

机构信息

College of Forestry, Northwest A&F University, Yangling, Shaanxi 712100, P. R. China.

Key Comprehensive Laboratory of Forestry, Shaanxi Province, P. R. China.

出版信息

Sci Rep. 2017 Mar 21;7:44496. doi: 10.1038/srep44496.

DOI:10.1038/srep44496
PMID:28322250
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5359563/
Abstract

Changes in land cover have become key components of global environmental change and represent the impact of human activity. To better understand the fundamental processes of land transition characteristics before and after the implementation of ecological programmes, we determined the dominant systematic changes in land cover in Yongshou, a hilly-gully region on the Loess Plateau. This was achieved by performing an in-depth analysis of a cross-tabulation matrix and a modified spatial dynamic degree model. Our results indicated that (1) forest land and cultivated land were the most important land cover types in Yongshou and their persistence would greatly affect the landscape pattern of the entire region; (2) the most significant changing signals in the study area during the periods 1992-2000 and 2000-2013 were from immature forest land to forest land, cultivated land to orchards and orchards to construction land; and (3) the region that experienced the most changes during 1992-2000 was the densely populated county seat of Yongshou; however, from 2000-2013, the region of most changes was Changning, a town located in the northcentral region of Yongshou. These findings reveal the main characteristics of the land cover changes in this region and provide insight into the processes underlying these changes.

摘要

土地覆盖变化已成为全球环境变化的关键组成部分,代表着人类活动的影响。为了更好地了解生态规划实施前后土地转换特征的基本过程,我们确定了位于黄土高原丘陵沟壑区的永寿县土地覆盖的主要系统变化。这是通过深入分析交叉制表矩阵和改进的空间动态度模型来实现的。我们的研究结果表明:(1)林地和耕地是永寿县最重要的土地覆盖类型,其持续存在将极大地影响整个地区的景观格局;(2)在 1992-2000 年和 2000-2013 年期间,研究区域最显著的变化信号来自于从不成熟林地到林地、从耕地到果园、从果园到建设用地;(3)1992-2000 年变化最大的区域是人口密集的永寿县城;然而,从 2000-2013 年,变化最大的区域是位于永寿县中北部的常宁镇。这些发现揭示了该地区土地覆盖变化的主要特征,并深入了解了这些变化的过程。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/6dd6fe705809/srep44496-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/7b6eedd67557/srep44496-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/c8a67863fde5/srep44496-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/eb51d2e428cf/srep44496-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/2fb133efdbda/srep44496-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/1ca4af7a4062/srep44496-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/6dd6fe705809/srep44496-f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/7b6eedd67557/srep44496-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/c8a67863fde5/srep44496-f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/eb51d2e428cf/srep44496-f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/2fb133efdbda/srep44496-f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/1ca4af7a4062/srep44496-f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dc85/5359563/6dd6fe705809/srep44496-f6.jpg

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