Spatio-temporal Forest Cover Dynamics and Driving Processes in Southwest China (1986‒2018)

doi:10.16258/j.cnki.1674-5906.2026.06.007

Ecology and Environmental Sciences ›› 2026, Vol. 35 ›› Issue (6): 898-908.DOI: 10.16258/j.cnki.1674-5906.2026.06.007

• Research Article [Ecology] • Previous Articles Next Articles

Spatio-temporal Forest Cover Dynamics and Driving Processes in Southwest China (1986‒2018)

LUO Manqiu¹^,²^,³(), TONG Xiaowei¹^,²^,^*(), YUE Yuemin¹^,², CHANG Jingyi¹^,²^,³, QI Xiangkun¹^,², WANG Kelin¹^,²

¹ Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, P. R. China
² Guangxi Key Laboratory of Karst Ecological Processes and Services/Huanjiang Observation and Research Station for Karst Ecosystems, Chinese Academy of Sciences, Huanjiang 547100, P. R. China
³ University of Chinese Academy of Sciences, Beijing 100049, P. R. China

Received:2025-10-11 Revised:2026-01-21 Accepted:2026-03-07 Online:2026-06-18 Published:2026-06-08

西南三省1986－2018年森林覆盖时空动态及驱动过程分析

罗曼秋¹^,²^,³(), 童晓伟¹^,²^,^*(), 岳跃民¹^,², 常静怡¹^,²^,³, 祁向坤¹^,², 王克林¹^,²

¹ 中国科学院亚热带农业生态研究所，湖南长沙 410125
² 中国科学院环江喀斯特生态系统观测研究站/广西喀斯特生态过程与服务重点实验室，广西环江 547100
³ 中国科学院大学，北京 100049

通讯作者: * 童晓伟，E-mail: tongxiaowei@isa.ac.cn
作者简介:罗曼秋（2001年生），女，硕士研究生，主要从事生态遥感方面的研究。E-mail: luomanqiu23@mails.ucas.ac.cn
基金资助:
国家重点研发计划青年科学家专项(2023YFF1305700);国家自然科学基金项目(42371129);湖南省科技创新项目(2024RC1067)

Abstract

Abstract:

Forest ecosystems are a critical foundation for ecological security and carbon cycling in southwest China. A comprehensive understanding of the spatiotemporal dynamics and driving mechanisms of forest cover is essential for promoting regional forest sustainability. Based on Landsat data from 1986 to 2018, combined with land-use transition matrices and spatial hotspot analysis, this study systematically investigates the spatiotemporal patterns and drivers of forest cover across three provinces in southwest China. The results indicate that, 1) between 1986 and 2018, the region experienced a cumulative forest cover loss of 17673.81 km², following an inverted U-shaped trend with a peak during 1996‒2004 (approximately 7900.13 km²). Forest loss was dominated by small and fragmented patches, with 95.9% smaller than 0.01 km², and shifted toward lower elevations and gentler slopes. 2) During 1996-2004, Yunnan Province experienced the largest forest loss (3685 km²), followed by Guangxi (3297 km²) and Guizhou Province (918 km²). Forest loss exhibited significant spatial clustering, with hotspots shifting from Yunnan to Guangxi. 3) Approximately 99% of old-growth forest loss occurred outside protected areas, where the loss rate was significantly higher than within protected areas. The implementation of the Natural Forest Protection Program markedly reduced old-growth forest loss in the region. 4) Land-use change analysis revealed that about 80% of forest loss areas underwent subsequent regeneration, while the remainder was primarily converted to shrubland and built-up land. Forest loss areas in Guizhou and Guangxi showed higher conversion rates to built-up land, reflecting urbanization-driven impacts, whereas Yunnan was characterized by conversion to shrubland. These findings provide a scientific basis for forest monitoring, old-growth forest conservation, and ecological restoration in southwest China.

Key words: southwest region, forest loss, land use changes, hotspot analysis, remote sensing

摘要：

森林生态系统是西南地区生态安全和碳循环的重要基础，深入理解其覆盖的时空动态及驱动机制对区域森林可持续发展具有重要意义。基于1986－2018年Landsat数据，从森林覆盖变化的整体视角出发，将森林损失视为覆盖变化过程中最敏感、最直接的扰动信号，结合土地利用转换矩阵和空间热点分析，系统揭示西南三省森林覆盖的时空演变特征及其驱动因素。结果显示，1）1986－2018年间，研究区累计森林损失面积达1.77×10⁴ km²，呈“先升后降”的倒U型动态，森林损失主要集中在1996－2004年（约7.90×10³ km²）。森林损失以小尺度零散斑块为主，斑块面积小于0.01 km²的数量占95.9%，且损失区域海拔和坡度整体呈向低海拔及缓坡转移趋势。2）1996－2004年间，云南损失面积最大（3.68×10³ km²），其次为广西（3.30×10³ km²）和贵州（918 km²）；森林损失具有显著的空间集聚性，热点区由云南逐渐向广西转移。3）约90.4%的老林损失发生在非保护区，保护区内老林损失率显著低于非保护区，“天然林保护工程”实施后研究区老林损失显著减少。4）土地利用变化分析显示约80%的森林损失区域在后续时期实现再生，剩余主要转为矮小植被和建筑用地，贵州和广西森林损失区向建筑用地转化比例较高，体现城镇化驱动效应，云南则以向矮小植被转化为主。研究结果可为西南地区森林资源监测、老林保护政策制定及生态恢复提供科学依据。

关键词: 西南地区, 森林损失, 土地利用转换, 热点分析, 遥感监测

CLC Number:

Q948
X173

LUO Manqiu, TONG Xiaowei, YUE Yuemin, CHANG Jingyi, QI Xiangkun, WANG Kelin. Spatio-temporal Forest Cover Dynamics and Driving Processes in Southwest China (1986‒2018)[J]. Ecology and Environmental Sciences, 2026, 35(6): 898-908.

罗曼秋, 童晓伟, 岳跃民, 常静怡, 祁向坤, 王克林. 西南三省1986－2018年森林覆盖时空动态及驱动过程分析[J]. 生态环境学报, 2026, 35(6): 898-908.

Figures/Tables 13

Figure 1 Location of the study area and distribution of plantation and secondary forests in the study area

Figure 2 Forest lost changes in the study area from 1986 to 2018

Figure 3 Contribution of forest loss from different provinces to the total forest loss in the study area in 1996?2004

Figure 4 Histogram of forest loss patch size in the study area

Figure 5 Changes in the number and average size of forest loss patches in the study area in 1996?2004

Figure 6 Mean elevation and slope changes of forest loss in different areas in 1996?2004

Figure 7 Spatial distribution of forest loss percentage (1996?2004)

Figure 8 Distribution of forest loss hotspots and coldspots in 1996?2004

Figure 9 Temporal changes (1996-2004) in the number of grid cells by hotspot types

Figure 10 Changes of old-growth forest loss in different provinces in 1996?2004

Figure 11 Old-growth forest loss in protected areas

Table 1 Land use types after forest loss (1996?2004)

年份	土地利用类型/km²
年份	森林	矮小植被	建筑用地	水体	耕地	裸地	合计
1996	113.81	17.43	12.32	1.65	1.82	0.01	147.05
1997	126.10	18.42	13.04	2.34	2.04	0.02	161.95
1998	151.36	21.03	15.16	3.17	2.53	0.02	193.27
1999	191.41	24.38	18.54	4.63	3.04	0.03	242.02
2000	248.09	28.52	23.21	6.23	3.86	0.04	309.96
2001	314.88	34.36	28.20	7.78	4.46	0.04	389.73
2002	382.07	39.29	32.96	8.74	4.93	0.06	468.05
2003	433.14	42.03	35.17	9.12	5.14	0.05	524.65
2004	457.96	42.38	35.27	7.87	4.87	0.06	548.41
合计	2418.82	267.84	213.87	51.53	32.70	0.32	2985.09

Figure 12 Land use types of non-regenerated forest loss areas by province

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Spatio-temporal Forest Cover Dynamics and Driving Processes in Southwest China (1986‒2018)

西南三省1986－2018年森林覆盖时空动态及驱动过程分析

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