云南省土地利用生态风险与碳储量时空关联分析与预测

胥蕊; 朱大明; 王琳; 彭秋志

doi:10.13870/j.cnki.stbcxb.2025.01.024

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云南省土地利用生态风险与碳储量时空关联分析与预测

更新时间：2025-03-14

- 云南省土地利用生态风险与碳储量时空关联分析与预测
- Spatial and Temporal Correlation Analysis and Prediction of Land Use Ecological Risk and Carbon Stock in Yunnan Province
- 水土保持学报 2025年39卷第1期页码：217-228
- 作者机构：
  
  昆明理工大学国土资源工程学院,昆明,650093
- 作者简介：
  
  [ "胥蕊(1999—), 女, 硕士研究生, 主要从事土地利用变化及生态效应分析研究。E-mail: 1564766628@qq.com" ]
- 基金信息：
  
  国家自然科学基金地区资助项目(41961039)
- DOI：10.13870/j.cnki.stbcxb.2025.01.024
  中图分类号： X171.1
- 纸质出版：2025
- 稿件说明：
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胥蕊, 朱大明, 王琳, 等. 云南省土地利用生态风险与碳储量时空关联分析与预测[J]. 水土保持学报, 2025,39(1):217-228.

XU Rui, ZHU Daming, WANG Lin, et al. Spatial and Temporal Correlation Analysis and Prediction of Land Use Ecological Risk and Carbon Stock in Yunnan Province[J]. 2025, 39(1): 217-228.
胥蕊, 朱大明, 王琳, 等. 云南省土地利用生态风险与碳储量时空关联分析与预测[J]. 水土保持学报, 2025,39(1):217-228. DOI： 10.13870/j.cnki.stbcxb.2025.01.024.

XU Rui, ZHU Daming, WANG Lin, et al. Spatial and Temporal Correlation Analysis and Prediction of Land Use Ecological Risk and Carbon Stock in Yunnan Province[J]. 2025, 39(1): 217-228. DOI： 10.13870/j.cnki.stbcxb.2025.01.024.

摘要

目的探究土地利用生态风险与碳储量的关联性，以提高区域生态风险防范和固碳能力，从而有效指导环境管理政策的制定。方法利用景观格局指数、PLUS和InVEST模型，对自然发展、经济发展和生态保护情景下云南省土地利用生态风险和碳储量时空变化进行分析和预测。利用Spearman相关性分析和空间自相关分析探讨二者的关联特征。结果1) 云南省土地利用以林地为主，超过总面积的57%。2)2000—2020年云南省生态风险缓慢下降，较低和中风险面积超过50%，空间分布相对稳定，风险变化主要发生在相邻等级之间，高等级风险区向低等级风险区转移39 675.06 km2。3)云南省碳储量先增后减，2000—2020年共减少2.257×107 t，林地的碳储量贡献最大，耕地、草地和林地大面积转变为建设用地是造成碳储量减少的主要原因。4)2030年，3种情景下云南省生态风险和碳储量均下降。生态保护情景下，林地面积较2020年增加895.83 km2，较高和高生态风险面积显著减少，碳储量的减少得到抑制，说明该情景是云南省今后发展的最优情景。5)研究区生态风险与碳储量呈负相关，空间分布主要以低-高和高-低聚集为主。结论研究结果根据云南省生态风险和碳储量空间聚集特征提出不同建议，可为云南省生态风险防范和提升碳储量提供科学依据。

Abstract

ObjectiveTo explore the correlation between land use ecological risk and carbon storage

in order to improve the regional ecological risk prevention and carbon sequestration capabilities

so as to effectively guide the formulation of environmental management policies.MethodsThe landscape pattern index

PLUS and InVEST models were used to analyze and predict the spatial and temporal changes of land use ecological risk and carbon storage in Yunnan Province under the scenarios of natural development

economic development

and ecological protection. Spearman correlation analysis and spatial autocorrelation analysis were used to explore the correlation characteristics.Results1) Land use in Yunnan Province is dominated by forest land

which exceeded 57% of the total area. 2) From 2000 to 2020

the ecological risk in Yunnan Province decreased slowly

with lower and medium-risk areas exceeding 50%

the spatial distribution remained relatively stable

the change of risk mainly occurred between adjacent levels

and the high-level risk area transferred to the low-level risk area by 39 675.06 km2. 3) Carbon storage in Yunnan Province initially increased and then decreased

with a total reduction of 2.257×107 t from 2000 to 2020. Forest land contributed the most to carbon storage

while large-scale conversion of cropland

grassland

and forest land into construction land was the main reason for the reduction in carbon storage. 4) The ecological risk and carbon storage of Yunnan Province would decrease under all three scenarios in 2030. Under the ecological protection scenario

forest land area would increase by 895.83 km2 compared to 2020

high and higher ecological risks would significantly decrease

and the reduction in carbon storage would be suppressed

indicating that this is the optimal scenario for the future development of Yunnan Province. 5) Ecological risk and carbon storage in the study area were negatively correlated

with spatial distribution mainly characterized by low-high and high-low aggregations.ConclusionThe study provides various recommendations based on the spatial aggregation characteristics of ecological risk and carbon storage in Yunnan Province

offering a scientific basis for preventing ecological risks and enhancing carbon storage in the region.

关键词

Keywords

references

YUAN S F, MEI Z H, ZHU C M, et al. Investigating the spatio-temporal interactive relationship between land use structure and ecosystem services in urbanizing China[J]. Ecological Indicators, 2024, 158: e111315.

GEORGIOU K, JACKSON R B, VINDUŠKOVÁ O, et al. Global stocks and capacity of mineral-associated soil organic carbon[J]. Nature Communications, 2022, 13: e3797.

WANG J, BAI W Q, TIAN G H. A review on ecological risk assessment of land use[J]. Journal of Natural Resources, 2020, 35(3): 576-585. 王洁, 摆万奇, 田国行. 土地利用生态风险评价研究进展[J]. 自然资源学报, 2020, 35(3): 576-585.

OUYANG X, ZHU X, HE Q Y. Incorporating ecosystem services with ecosystem health for ecological risk assessment: Case study in Changsha-Zhuzhou-Xiangtan urban agglomeration, China[J]. Acta Ecologica Sinica, 2020, 40(16): 5478-5489. 欧阳晓, 朱翔, 贺清云. 基于生态系统服务和生态系统健康的生态风险评价: 以长株潭城市群为例[J]. 生态学报, 2020, 40(16): 5478-5489.

HUANG T, LIU S H. Evaluation of land use change and carbon storage in Fujian Province based on PLUS-InVEST model[J]. Journal of Soil and Water Conservation, 2024, 38(2): 246-257. 黄韬, 刘素红. 基于PLUS-InVEST模型的福建省土地利用变化与碳储量评估[J]. 水土保持学报, 2024, 38(2): 246-257.

ZHI F, ZHOU Z H, ZHAO M, et al. Temporal and spatial evolution characteristics of carbon storage in Hefei ecosystem based on PLUS and InVEST models[J]. Journal of Soil and Water Conservation, 2024, 38(2): 205-215. 智菲, 周振宏, 赵铭, 等. 基于PLUS和InVEST模型的合肥市生态系统碳储量时空演变特征[J]. 水土保持学报, 2024, 38(2): 205-215.

HU J X, LE X W, WANG W L, et al. Temporal and spatial evolution and prediction of ecosystem carbon storage in Jiangxi Province based on PLUS-InVEST model[J]. Environmental Science, 2024, 45(6): 3284-3296. 胡佶熹, 勒先文, 王卫林, 等. 基于PLUS-InVEST模型的江西省生态系统碳储量时空演变与预测[J]. 环境科学, 2024, 45(6): 3284-3296.

LI X P, LI S S, ZHANG Y F, et al. Landscape ecological risk assessment under multiple indicators[J]. Land, 2021, 10(7): e739.

WU N, SUN Q Y, HUANG H M, et al. Assessment of marine ecological risk of Beibu Gulf Sea area based on pressure state response model[J]. Transactions of Oceanology and Limnology, 2023, 45(6): 124-132. 吴霓, 孙庆杨, 黄华梅, 等. 基于PSR模型的广西北部湾海域生态风险评价及防范对策研究[J]. 海洋湖沼通报, 2023, 45(6): 124-132.

WANG H. Regional assessment of ecological risk caused by human activities on wetlands in the Muleng-Xingkai Plain of China using a pressure-capital-vulnerability-response model[J]. Wetlands Ecology and Management, 2022, 30(1): 111-126.

LIU X, SU W C, WANG Z, et al. Regional ecological risk assessment of land use in the flooding zone of the Three Gorges Reservoir area based on relative risk model[J]. Acta Scientiae Circumstantiae, 2012, 32(1): 248-256. 刘晓, 苏维词, 王铮, 等. 基于RRM模型的三峡库区重庆开县消落区土地利用生态风险评价[J]. 环境科学学报, 2012, 32(1): 248-256.

LIU X Z, LI X S, JIANG D M. Landscape pattern identification and ecological risk assessment using land-use change in the Yellow River Basin[J]. Transactions of the Chinese Society of Agricultural Engineering, 2021, 37(4): 265-274. 刘希朝, 李效顺, 蒋冬梅. 基于土地利用变化的黄河流域景观格局及生态风险评估[J]. 农业工程学报, 2021, 37(4): 265-274.

KANG L X, YANG X, GAO X, et al. Landscape ecological risk evaluation and prediction under a wetland conservation scenario in the Sanjiang Plain based on land use/cover change[J]. Ecological Indicators, 2024, 162: e112053.

LIN X F, FU H. Spatial-temporal evolution and driving forces of cultivated land based on the PLUS model: A case study of Haikou City, 1980—2020[J]. Sustainability, 2022, 14(21): e14284.

YU H, LIU X L, ZHAO T M, et al. Landscape ecological risk assessment of Qilian Mountain National Park based on landscape pattern[J]. Ecological Science, 2022, 41(2): 99-107. 于航, 刘学录, 赵天明, 等. 基于景观格局的祁连山国家公园景观生态风险评价[J]. 生态科学, 2022, 41(2): 99-107.

JIN X, JIN Y X, MAO X F. Ecological risk assessment of cities on the Tibetan Plateau based on land use/land cover changes: Case study of Delingha City[J]. Ecological Indicators, 2019, 101: 185-191.

SUN L R, ZHOU D M, CEN G Z, et al. Landscape ecological risk assessment and driving factors of the Shule River Basin based on the geographic detector model[J]. Arid Land Geography, 2021, 44(5): 1384-1395. 孙丽蓉, 周冬梅, 岑国璋, 等. 基于地理探测器模型的疏勒河流域景观生态风险评价及驱动因素分析[J]. 干旱区地理, 2021, 44(5): 1384-1395.

PARUKE W S M J, AI D, FANG Y S, et al. Spatial and temporal evolution and prediction of carbon storage in Kunming city based on InVEST and CA-Markov model[J]. Environmental Science, 2024, 45(1): 287-299. 帕茹克·吾斯曼江, 艾东, 方一舒, 等. 基于InVEST与CA-Markov模型的昆明市碳储量时空演变与预测[J]. 环境科学, 2024, 45(1): 287-299.

PENG S Y, CHEN M X, ZHANG L W, et al. Spatiotemporal evolution of carbon storage in the central Yunnan urban agglomeration and its response to LULC change[J]. Journal of Soil and Water Conservation, 2024, 38(4): 246-256. 彭双云, 陈明潇, 张老伟, 等. 滇中城市群碳储量时空演变及其对LULC变化的响应[J]. 水土保持学报, 2024, 38(4): 246-256.

ZHU G F, QIU D D, ZHANG Z X, et al. Land-use changes lead to a decrease in carbon storage in arid region, China[J]. Ecological Indicators, 2021, 127: e107770.

LI Q W, JIN T T, PENG Q D, et al. Identifying the extent of the spatial expression of landscape fragmentation based on scale effect analysis in Southwest China[J]. Ecological Indicators, 2022, 141: e109120.

SHI X Y, ZHAO X Q, PU J W, et al. Spatio-temporal evolution and attribution of landscape ecological security at patch scale in Yunnan Province[J]. Acta Ecologica Sinica, 2021, 41(20): 8087-8098. 施馨雨, 赵筱青, 普军伟, 等. 基于斑块尺度的云南省景观生态安全时空演变及归因[J]. 生态学报, 2021, 41(20): 8087-8098.

WANG L, ZHAO J S, LIN Y L, et al. Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective[J]. Ecological Modelling, 2024, 488: e110597.

WANG L, ZHAO J S, AI D, et al. Integrating risk zoning and multifactor analysis: A strategic approach to ecological carbon sink management[J]. Ecological Informatics, 2024, 82: e102671.

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