中国西北干旱地区水文气候异常下的生态系统稳定性评估

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Shuhang Chang , Xiang Gao , Jie Li , Qiuran Li , Xiaojiao Song , An Yan , Kevin Lo
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引用次数: 0

摘要

由于频繁的水文气象异常,脆弱的旱地生态系统面临着越来越大的失稳风险。本研究利用自回归(ARx)模型评估了中国西北干旱区(ARNWC)在水文气候干扰下的生态系统稳定性。评估基于 2001 年至 2022 年归一化植被指数(NDVI)以及生态系统对降水、土壤水分和潜在蒸散量变化的响应。主要发现包括1)降水异常是影响 ARNWC 生态系统稳定性的最重要控制因素。2)生态系统的恢复力和抵抗力呈现出一种权衡关系,26.2%的区域呈现出 "高恢复力-低抵抗力 "或 "低恢复力-高抵抗力 "的显著聚类。3) 草原和荒漠植被表现出较低的恢复力和较高的抵抗力,而灌木和草地则表现出相反的模式。4)随着干旱程度的增加,恢复力普遍下降(R2 = 0.584,p < 0.001),而抵抗力则增加(R2 = 0.656,p < 0.001)。5)海拔较低的地区抵抗力较强,但从干扰中恢复的可能性较小;海拔较高的地区对水文气候异常较为敏感,但恢复能力较强;在不同的山区,稳定性与海拔之间存在复杂的非线性关系。此外,利用 "暴露-抵抗-恢复 "框架,发现新疆北部的生态系统易受降水异常的影响,而河西地区则面临更大的土壤水分异常压力。这项研究强调了干湿条件在旱地生态系统稳定性中的关键作用,表明生态系统的长期稳定平衡是通过物种对环境条件的适应来实现的。这些见解为 ARNWC 和类似旱地的生态系统管理提供了宝贵的指导。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ecosystem stability assessment under hydroclimatic anomalies in the arid region of Northwest China
Fragile dryland ecosystems face increasing destabilization risks due to frequent hydrometeorological anomalies. This study assessed ecosystem stability in the arid region of Northwest China (ARNWC) under hydroclimatic disturbances using the Autoregression (ARx) model. The assessment was based on the Normalized Difference Vegetation Index (NDVI) from 2001 to 2022 and ecosystem responses to changes in precipitation, soil moisture, and potential evapotranspiration. Key findings include: 1) Precipitation anomaly is the most important controlling factor affecting the ecosystem stability of ARNWC. 2) Ecosystem resilience and resistance exhibited a trade-off relationship, with 26.2 % of the area showing significant clustering of “high resilience - low resistance” or “low resilience - high resistance”. 3) Steppe and desert vegetation demonstrated lower resilience but higher resistance, while shrubs and meadows showed the opposite pattern. 4) Resilience generally decreased with increasing aridity (R2 = 0.584, p < 0.001), while resistance increased (R2 = 0.656, p < 0.001). 5) Lower altitude regions were more resistant but less likely to recover from disturbances, while higher altitude regions were more sensitive to hydroclimatic anomalies but more resilient; In different mountains, a complex nonlinear relationship between stability and altitude was observed. In addition, using an “exposure-resistance-resilience” framework, ecosystems in Northern Xinjiang were found vulnerable to precipitation anomalies, while the Hexi Region faced greater pressure from soil moisture anomalies. This study highlights the crucial role of wet and dry conditions in dryland ecosystem stability, suggesting that long-term ecosystem stability equilibrium is achieved through species adaptation to environmental conditions. These insights provide valuable guidance for ecosystem management in ARNWC and similar drylands.
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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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