Spatial heterogeneity and environmental drivers of drought vulnerability in the Yangtze River Basin

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Yuting Yang , Yunfei Feng , Xie He , Meng Li
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Abstract

Drought-induced ecological vulnerability is intensifying under global climate change, threatening ecosystem stability and function. Using the Yangtze River Basin (YRB) as a case study, we constructed a Drought Vulnerability Index integrating exposure, sensitivity, and resilience—three core dimensions defined in the IPCC framework. Exposure was represented by drought severity and duration, while sensitivity and resilience were derived from autoregressive modeling of vegetation dynamics using vegetation and climate data from 2001 to 2023. We employed XGBoost with SHAP analysis to disentangle the drivers of spatial heterogeneity. Results reveal strong spatial contrasts: the central-northern YRB shows the highest vulnerability due to concurrent high exposure and sensitivity with low resilience, whereas the western highlands exhibit comparatively low vulnerability despite high exposure, supported by stronger resilience. Quantitative analysis confirms resilience as the dominant determinant of vulnerability, with over 65 % of vegetated pixels showing a significant negative correlation (R < –0.8, p < 0.05) between resilience and vulnerability. Among environmental drivers, altitude, precipitation, and species richness exerted the greatest influence, often with non-linear or threshold effects. Notably, altitude displayed a U-shaped relationship, with both lowlands and highlands being more vulnerable. These findings highlight the central role of resilience in modulating drought vulnerability and provide a robust indicator-based framework for assessing ecological risk and guiding resilience-oriented adaptation strategies under climate extremes.
长江流域干旱脆弱性空间异质性及环境驱动因素
在全球气候变化背景下,干旱生态脆弱性日益加剧,威胁着生态系统的稳定和功能。以长江流域为例,综合IPCC框架中定义的三个核心维度——暴露度、敏感性和恢复力,构建了干旱脆弱性指数。暴露程度由干旱严重程度和持续时间表示,而敏感性和恢复力则由利用2001 - 2023年植被和气候数据的植被动态自回归模型得出。我们使用XGBoost和SHAP分析来解开空间异质性的驱动因素。结果表明,中部和北部高原地区由于高暴露、高敏感性和低恢复力并存,脆弱性最高,而西部高原地区虽然高暴露、高敏感性和高恢复力并存,但脆弱性相对较低。定量分析证实弹性是脆弱性的主要决定因素,超过65%的植被像元在弹性与脆弱性之间呈显著负相关(R < -0.8, p < 0.05)。在环境驱动因素中,海拔、降水和物种丰富度的影响最大,通常具有非线性或阈值效应。值得注意的是,海拔呈u型关系,低地和高地都更容易受到伤害。这些发现强调了恢复力在调节干旱脆弱性方面的核心作用,并为评估极端气候下的生态风险和指导以恢复力为导向的适应战略提供了强有力的指标框架。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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