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云南省生态系统干旱恢复特征及驱动因子OACHSSCD

Characteristics and driving factors of ecosystem drought recovery in Yunnan Province

中文摘要英文摘要

全球气候变化背景下,频繁的干旱事件对生态系统构成了严重威胁.干旱恢复时间,即生态系统从干旱胁迫恢复到干旱前功能状态所需时间,是衡量干旱对生态系统的影响及评价生态系统恢复能力的关键指标.云南作为全球生物多样性关键区域和国家生态安全屏障核心区,其生态系统的健康、稳定至关重要.然而,云南干旱频发,严重威胁区域生态系统稳定性.因此,基于 2001-2020 年标准化降水蒸散指数(SPEI)及归一化植被指数(NDVI),识别干旱事件及不同干旱恢复模式(单个生长季内恢复RSGS和多个生长季内恢复RMGS)下生态系统干旱恢复时间的时空格局,系统分析气候、干旱自身属性、植被生长状况和人类活动等因素的影响.研究发现:(1)云南省生态系统干旱恢复时间在两种恢复模式下存在较大差异,RSGS模式下,恢复时间平均约为 1.7 个月,而在 RMGS模式下,恢复时间约为 3.96 个月;(2)温度、降水和太阳辐射 3 种气象因子在两种恢复模式下都表现出较高的重要性,其中,降水在 RSGS模式下重要性最高,约为 82.3%;温度在 RMGS模式下重要性最高,约为 80.5%;(3)干旱持续时间在 RSGS模式中重要性仅次于温度和降水,在 RMGS中仅次于温度、降水和 SSR,且干旱开始月份和持续时间在两种模式下对不同生态系统干旱恢复时间影响显著;(4)人类活动的重要性排序靠后,但对农田生态系统干旱恢复影响显著.研究结果可为云南省干旱管理以及应对未来气候变化提供科学支持.

In the context of global climate change,frequent droughts pose a severe threat to ecosystems.Drought recovery time,defined as the duration required for an ecosystem to revert to its pre-drought functional state from drought stress,is a key metric for assessing drought impacts and ecosystem resilience.Yunnan Province,a global biodiversity hotspot and a core area of China's ecological security barrier,is vital for maintaining ecological stability.However,recurrent droughts in Yunnan undermine regional ecosystem stability.Utilizing the Standardized Precipitation Evapotranspiration Index(SPEI)and the Normalized Difference Vegetation Index(NDVI)from 2001 to 2020,this study identified drought events and explored spatiotemporal patterns of ecosystem drought recovery time under two recovery models:recovery within a single growing season(RSGS)and recovery across multiple growing seasons(RMGS).Furthermore,we analyzed the influences of climatic factors,drought attributes,vegetation growth,and human activities.The results of our study revealed the following key findings:(1)There was a significant variation in ecosystem drought recovery time between the two models in Yunnan,with an average of 1.7 months for RSGS and 3.96 months for RMGS.(2)Temperature,precipitation,and solar radiation were crucial meteorological factors in both models,with precipitation being most important(accounting for 82.3%)in RSGS and temperature(accounting for 80.5%)in RMGS.(3)Drought duration was highly relevant in RSGS,ranking second only to temperature and precipitation,while in RMGS,it followed temperature,precipitation,and SSR.The onset and duration of drought notably affected recovery time across ecosystems in both models.(4)Human activities,though less influential overall,significantly impacted farmland ecosystem drought recovery.These findings provide scientific support for drought management strategies in Yunnan and offer valuable insights for addressing the challenges posed by future climate change.

葛中曦;王静婷;唐伯惠

昆明理工大学国土资源工程学院,昆明 650093||昆明理工大学云南省定量遥感重点实验室,昆明 650093||昆明理工大学云南省山地灾害天空地一体化智慧监测国际联合实验室,昆明 650093昆明理工大学国土资源工程学院,昆明 650093||昆明理工大学云南省定量遥感重点实验室,昆明 650093||昆明理工大学云南省山地灾害天空地一体化智慧监测国际联合实验室,昆明 650093昆明理工大学国土资源工程学院,昆明 650093||昆明理工大学云南省定量遥感重点实验室,昆明 650093||昆明理工大学云南省山地灾害天空地一体化智慧监测国际联合实验室,昆明 650093

干旱恢复时间干旱恢复模式标准化蒸散指数SPEI归因分析

drought recovery timedrought recovery modelSPEIattribution analysis

《生态学报》 2026 (8)

4142-4153,12

国家自然科学基金(42401465)云南省科技厅科技计划项目(202501AT070343,202401AU070169)

10.20103/j.stxb.202507091784

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