Spatio-Temporal Patterns of Land Use and Cover Change in the Lancang-Mekong River Basin during 2000-2020

被引:5
|
作者
Lang, Fansi [1 ]
Liang, Yutian [1 ,2 ,3 ]
Li, Shangqian [1 ]
Cheng, Zhaofeng [1 ]
Li, Guanfeng [1 ]
Guo, Zijing [1 ]
机构
[1] Sun Yat Sen Univ, Sch Geog & Planning, Guangzhou 510006, Peoples R China
[2] Sun Yat Sen Univ, China Reg Coordinated Dev & Rural Construct Inst, Guangzhou 510275, Peoples R China
[3] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519080, Peoples R China
基金
中国国家自然科学基金;
关键词
reforestation; transition matrix; logistic regression; LUCC; Lancang-Mekong River Basin; LOGISTIC-REGRESSION; DEFORESTATION; RATES;
D O I
10.3390/land13030305
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Exploring the mechanisms that drive land use and cover change (LUCC) is essential for informing the formulation and implementation of effective policies aimed at optimizing land use patterns. In this study, we examined the spatial and temporal patterns of LUCC within the Lancang-Mekong River Basin (LMRB) using Globeland30 data for the years 2000, 2010, and 2020. Firstly, we analyzed the quantitative characteristics of LUCC within the LMRB in terms of the value of change and rate of change. Additionally, we investigated the converting characteristics of LUCC within the LMRB by employing land use transition matrices and land use transition probability matrices. Furthermore, we depicted the spatial distribution of LUCC within the LMRB through land use mapping and statistical analysis. The results indicate a substantial decline in forests, coupled with a notable expansion in cultivated land. Given the vital role of forests as carbon sinks, reforestation can enhance ecological services and address challenges related to climate change. Converting cultivated land to forests is an effective human intervention promoting forest transition. This study applies binary logistic models to explore the mechanisms that influence the conversion from cultivated land to forests. The results reveal that slopes ranging from 5 degrees to 15 degrees have the lowest probability of conversion, whereas distances between the cultivated land and the nearest tourist attraction ranging from 9 km to 18 km have the highest probability. Moreover, the conversion process is positively associated with traffic conditions and significantly influenced by human interventions. Within the study area, China, Laos, and Myanmar show a tendency to convert cultivated land into natural LULC types, while Cambodia, Thailand, and Vietnam tend to encroach on cultivated land and expand artificial surfaces. Promoting ecological restoration in the LMRB requires cooperation among these countries.
引用
收藏
页数:20
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