Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification

被引：34

作者：

Chen, Fei ^{[1
,2
,3
,4
]}

Wang, Shijie ^{[1
,4
]}

Bai, Xiaoyong ^{[1
,4
]}

Liu, Fang ^{[2
]}

Zhou, Dequan ^{[3
]}

Tian, Yichao ^{[1
,4
]}

Luo, Guangjie ^{[1
,4
]}

Li, Qin ^{[1
,4
]}

Wu, Luhua ^{[1
,4
]}

Zheng, Cheng ^{[1
,3
,4
]}

Xiao, Jianyong ^{[1
,3
,4
]}

Qian, Qinghuan ^{[1
,3
,4
]}

Cao, Yue ^{[1
,4
]}

Li, Huiwen ^{[1
,4
]}

Wang, Mingming ^{[1
,4
]}

Yang, Yujie ^{[1
,3
,4
]}

机构：

[1] Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang, Guizhou, Peoples R China

[2] Guizhou Univ, Coll Resources & Environm Engn, Guiyang, Guizhou, Peoples R China

[3] Guizhou Normal Univ, Coll Geog & Environm Sci, Guiyang, Guizhou, Peoples R China

[4] Chinese Acad Sci, Puding Karst Ecosyst Observat & Res Stn, Puding, Guizhou, Peoples R China

来源：

GEOCARTO INTERNATIONAL | 2021年 / 36卷 / 03期

关键词：

Karst rocky desertification; spatial and temporal evolution; geography detector; driving force; GUIZHOU PROVINCE; CHINA; LAND; DEGRADATION; IMPACTS; EROSION; REGION; RISK; SEA;

D O I：

10.1080/10106049.2019.1595175

中图分类号：

X [环境科学、安全科学];

学科分类号：

08 ; 0830 ;

摘要：

Karst Rocky Desertification (KRD) has become the most serious ecological disaster in Southwest China. We used the data of Thematic Mapper (TM) images from 1990, 1995, 2000, 2004, and 2011 and the 2016 Operational Land Imager (OLI) image. These sensing images were pre-processed by removing non-karst areas based on lithology and cutting away the land types impossibly generating KRD from land use maps. Then, we used a Classification And Regression Tree (CART) to classify the KRD. We want to improve the interpretation accuracy of KRD through the above steps. The results were as follows: (1) The KRD experiences the evolution process of 'first deterioration and then improvement'. The rate is -4.94 km(2).a(-1) over a period of 1990 to 2004, and the rate is 36.48 km(2).a(-1) from 2004 to 2016; (2) The most influential factors causing KRD formation are the lithology and the resident population density, with contribution rates of 30.17% and 25.86%, respectively.

引用

页码：262 / 280

页数：19

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