基于XGBoost-SHAP方法的天山中段景观生态风险时空演变及驱动因素OA
Spatiotemporal evolution and driving factors of landscape ecological risk in the middle section of the Tianshan Mountains based on the XGBoost-SHAP method
景观生态风险是指区域景观结构的改变对生态过程造成的潜在不良影响,深入研究其时空分异特征及驱动因素,可以为国土空间优化提供决策支撑.以天山中段为研究对象,采用景观生态风险评价模型研究2005-2023年景观生态风险的时空变化格局,并基于极限梯度提升-沙普利加性解释(XGBoost-SHAP)方法,探究了景观生态风险驱动因素及其交互作用.结果表明:(1)时间维度上,2005-2023年天山中段景观生态风险总体平稳,景观生态风险指数(ERI)微降.期间,66.12%区域风险等级稳定,33.88%区域有升降转换,局部敏感性与整体稳态并存.(2)空间格局上,天山中段景观生态风险呈"北低南高"两极化格局,以天山主脊为界近似"人"字形分隔.高风险区集中于天山南部塔克拉玛干沙漠地带,低风险区集中于北部的伊犁河谷地带,景观组成对风险空间分异影响显著.(3)驱动因素上,单因素分析中自然地理因素主导天山中段景观生态风险格局,其中归一化植被指数(NDVI)与气温贡献突出.交互因素分析中高景观生态风险区域受"低NDVI与较高气温"和"低GDP与高人口密度"耦合驱动,这种多重阈值非线性互馈机制是干旱区生态风险管理需重点关注的内容.
Landscape ecological risk refers to the potential adverse effects on ecological processes due to changes in regional landscape structure.Understanding the spatiotemporal dynamics and driving factors of landscape eco-logical risk is crucial for optimizing territorial spatial planning.Focusing on the middle section of the Tianshan Mountains,this study applied a landscape ecological risk assessment model to analyze the spatiotemporal evolu-tion of risk from 2005 to 2023.The extreme gradient boosting-Shapley additive explanations method was em-ployed to identify the driving factors and their interactions.The results revealed the following:(1)Temporally,landscape ecological risk in the study area remained generally stable between 2005 and 2023,with a slight de-crease in the ecological risk index.Although 66.12%of the area maintained consistent risk levels,33.88%experi-enced transitions between risk levels,indicating overall stability with localized sensitivity.(2)Spatially,land-scape ecological risk exhibited a polarized"low in the north,high in the south"pattern,roughly delineated by the main ridge of the Tianshan Mountains in a"人"-shaped configuration.High-risk areas were concentrated in the southern Taklimakan Desert,whereas low-risk areas were predominantly in the northern Ili River Valley.Land-scape composition significantly influenced this spatial differentiation.(3)In terms of driving factors,single-factor analysis indicated that natural geographical factors,particularly the normalized difference vegetation index(ND-VI)and temperature,primarily determined the spatial pattern of landscape ecological risk in the middle Tianshan Mountains.Interaction analysis showed that high-risk areas are collectively driven by the coupled effects of"low NDVI and relatively high temperature"and"low GDP and high population density".These multi-threshold non-linear feedback mechanisms warrant particular attention for ecological risk management in arid regions.
毕文焌;闫庆武;赵甫心;移明昊;吴子豪
江苏国土资源智库中国矿业大学研究基地,江苏 徐州 221116||中国矿业大学环境与测绘学院,江苏 徐州 221116江苏国土资源智库中国矿业大学研究基地,江苏 徐州 221116||中国矿业大学公共管理学院,江苏 徐州 221116中国矿业大学公共管理学院,江苏 徐州 221116中国矿业大学公共管理学院,江苏 徐州 221116江苏国土资源智库中国矿业大学研究基地,江苏 徐州 221116||中国矿业大学公共管理学院,江苏 徐州 221116
景观生态风险XGBoost-SHAP时空演变驱动因素天山中段
landscape ecological riskXGBoost-SHAPspatiotemporal evolutiondriving factorsmiddle sec-tion of the Tianshan Mountains
《干旱区地理》 2026 (9)
1826-1839,14
第三次新疆综合科学考察项目(2022xjkk1004)国家自然科学基金(42101459,42201447)资助
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