GlobeLand30 shows little cropland area loss but greater fragmentation in China
GlobeLand30 shows little cropland area loss but greater fragmentation in China
复制标题
GlobeLand30 显示中国耕地面积损失较小,但破碎化程度较高
DOI:
10.1016/j.jag.2017.11.002
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发表时间:
2018-04
影响因子:
7.5
通讯作者:
Wu Wenbin
中科院分区:
文献类型:
--
作者:
Yu Qiangyi;Hu Qiong;van Vliet Jasper;Verburg Peter H.;Wu Wenbin
Understanding of cropland dynamics in a large geographical extent is mostly based on observations of area change, while the changes in landscape pattern are hardly assessed. The total amount of cropland in China has remained relatively stable in recent years, which might suggest there was little change. In this analysis, we combine the number of cropland patches (NP) with the total cropland area (TA) for a more comprehensive characterization of cropland change in China. We use GlobeLand30–a global land cover dataset with a 30 m resolution for the years 2000 and 2010–and characterize changes in TA and NP for each county as increase, stable, or decrease. This characterization shows that 703 out of 2420 counties experienced both cropland loss and increased fragmentation. The predominant cropland loss in these areas, especially in the North China Plain, is converted to artificial land. Another 212 are characterized by the opposite developments: an increase in cropland and decreased fragmentation. These counties, are mainly characterized by a conversion of forest areas and grassland areas. It suggests that the cropland conservation policy in China effectively protected the total cropland area in overall, but the consequences in terms of fragmentation might be underestimated. Counties with no obvious change in both indicators, measuring 279 counties, are mainly located in the Southeast. Our results are further compared with local level case studies: the fair consistency indicates alternatives of applying GlobeLand30 for analyzing landscape changes across scales and for cross-site comparisons.
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影响因子:
6.9
作者:
Jian Peng;Yanglin Wang;Yuan Zhang-;Jiansheng Wu;Weifeng Li;You Li
通讯作者:
Jian Peng;Yanglin Wang;Yuan Zhang-;Jiansheng Wu;Weifeng Li;You Li
影响因子:
9.1
作者:
J. Vliet;H. Groot;P. Rietveld;P. Verburg
通讯作者:
J. Vliet;H. Groot;P. Rietveld;P. Verburg
DOI:
10.1016/j.gloenvcha.2017.02.001
发表时间:
2017-03
影响因子:
8.9
作者:
J. Vliet;David A. Eitelberg;P. Verburg
通讯作者:
J. Vliet;David A. Eitelberg;P. Verburg
DOI:
10.3390/s17030453
发表时间:
2017-02-24
期刊:
Sensors (Basel, Switzerland)
影响因子:
--
作者:
Yu Q;Shi Y;Tang H;Yang P;Xie A;Liu B;Wu W
通讯作者:
Wu W
影响因子:
6.6
作者:
Pontius, RG;Shusas, E;McEachern, M
通讯作者:
McEachern, M