基于CLCD数据的云南高原岩溶石漠化区植被扩展研究

丁文荣; 李玉辉; 俞筱押; 付荣; 曾浚恒

doi:10.13961/j.cnki.stbctb.2025.02.021

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基于CLCD数据的云南高原岩溶石漠化区植被扩展研究

试验研究

- 基于CLCD数据的云南高原岩溶石漠化区植被扩展研究
- Vegetation expansion assessment in karst rocky desertification areas of Yunnan Plateau based on CLCD LULC data
- 水土保持通报 2025年45卷第2期页码：201-210
- 作者机构：
  
  1. 云南师范大学地理学部,云南,昆明,650500
  2. 黔南民族师范学院, 贵州都匀,558000
- 作者简介：
- 基金信息：
  
  国家自然科学基金项目“云南高原喀斯特石漠化植被持续恢复和扩展机制研究” (42361009);国家自然科学基金：“亚热带高原岩溶区陆地植被—湖泊湿地间的水文协同效应观测研究” (41761105)
- DOI：10.13961/j.cnki.stbctb.2025.02.021
  中图分类号： S19
- 网络首发：2025-05-16，
  
  纸质出版：2025
- 稿件说明：
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丁文荣, 李玉辉, 俞筱押, 等. 基于CLCD数据的云南高原岩溶石漠化区植被扩展研究[J]. 水土保持通报, 2025,45(2):201-210.

Ding Wenrong, Li Yuhui, Yu Xiaoya, et al. Vegetation expansion assessment in karst rocky desertification areas of Yunnan Plateau based on CLCD LULC data[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 201-210.
丁文荣, 李玉辉, 俞筱押, 等. 基于CLCD数据的云南高原岩溶石漠化区植被扩展研究[J]. 水土保持通报, 2025,45(2):201-210. DOI： 10.13961/j.cnki.stbctb.2025.02.021.

Ding Wenrong, Li Yuhui, Yu Xiaoya, et al. Vegetation expansion assessment in karst rocky desertification areas of Yunnan Plateau based on CLCD LULC data[J]. Bulletin of Soiland Water Conservation, 2025, 45(2): 201-210. DOI： 10.13961/j.cnki.stbctb.2025.02.021.

摘要

[目的

]

探究长时相、高分辨率的土地覆盖产品在中国南方岩溶区的适用性，为揭示云南高原岩溶石漠化区植被演变的特征提供新的数据支持。[方法

]

以云南高原中部石林县为例，采用精度检验、Sen’s斜率、转移矩阵等方法，对研究区1985—2022年30 m分辨率的CLCD_v1.0.2土地覆被数据集进行精度评价，并基于该数据研究云南高原岩溶石漠化区植被扩展的时空特征。[结果

]

①研究区验证样本的总体精度(overall accuracy，OA)达87.85%，KAPPA系数为0.83，植被中林地的使用者精度(user accuracy，UA)最高，达95.24%，而草地最低，为73.76%。②耕地、林地、草地是石林县4种主要的植被类型，多年平均值为810.20，632.85，245.74 km

，灌丛与非植被面积相对较少，分别为14.90 ，15.31 km

。③1985—2022年石林县耕地、林地和非植被面积呈增加趋势，分别增加34.17，112.24，10.79 km

，灌丛、草地面积则呈减少趋势，分别减少15.62，141.58 km

，林地、非植被增加趋势显著，草地减少趋势显著。④1985—2022年期间耕地转出主要是林地和草地，林地主要转为耕地，草地主要转出为耕地和林地，灌丛主要转为林地。⑤其他植被类型转为林地集中于石林世界自然遗产地核心区、缓冲区，圭山国家森林公园片区，以及石林断陷盆地边缘地带。[结论

]

CLCD数据满足岩溶石漠化区植被演变分析的精度要求，石林岩溶石漠化区植被空间转移格局弥补了因保护区建设导致的耕地面积减少，同时体现了退耕还林、封山育林政策实施的空间范围及效果。

Abstract

[Objective] The applicability of long-term and high-resolution land cover products in karst areas of Southern China was explored to provide new data support for revealing the characteristics of vegetation evolution in karst rocky desertification areas of Yunnan Plateau. [Methods] Precision testing

Sen’s slope

a transition matrix

and other methods were used to evaluate the accuracy of CLCD_v1.0.2 land cover data

with a resolution of 30 m

from 1985 to 2022

using Shilin County in the central part of the Yunnan Plateau as an example. The spatiotemporal characteristics of the expansion of the vegetation in the karst rocky desertification areas on the Yunnan Plateau were studied based on these data. [Results] ① The overall accuracy of the validation samples in the study area was 87.85% and the kappa coefficient of 0.83. The user accuracy of forest land was the highest at 95.24%

whereas that of grassland was the lowest at 73.76%. ② Arable land

forest land

and grassland were the main vegetation types in Shilin County

with average annual areas of 810.20

632.85

and 245.74 km2

respectively. Shrubs and unvegetated areas cover relatively small areas

at 14.90 and 15.31 km2

respectively. From 1985 to 2022

the areas of cultivated land

forest land

and unvegetated areas in Shilin County increased by 34.17

112.24

and 10.79 km2

respectively. Shrub and grassland areas decreased overall by 15.62 and 141.58 km2

respectively. The forest and unvegetated areas markedly increased

whereas the grassland considerably decreased trend from 1985 to 2022; forested land and grassland were the main cultivated land types. Forest land mainly changed to cultivated land

grassland mainly converted into cultivated and forest land

and shrubland mainly converted into forest land. The conversion of other vegetation types to forest land concentrated in the core and buffer zones of the Shilin World Natural Heritage Site and the Guishan National Forest Park as well as the edge of the Shilin rift basin. [Conclusion] The CLCD data met the requirements for vegetation evolution analysis in the karst rocky desertification areas. The pattern in the spatial changes of the vegetation in the karst rocky desertification areas compensated for the reduction in arable land area caused by the construction of protected areas and reflects the spatial scope and effectiveness of the implementation of policies

such as returning farmland to forests and halting afforestation on mountains.

关键词

Keywords

references

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