干旱胁迫对渭河流域生态系统水碳耦合关系的滞后与累积效应

Lag and cumulative effects of drought stress on ecosystem water-carbon coupling in the Wei River Basin

  • 摘要: 为解析干旱胁迫下生态系统水碳耦合的非线性响应机制,基于小波相干分析优选干旱指数,引入分布式滞后模型探究渭河流域生态系统水分利用效率(WUE)对干旱胁迫的滞后与累积效应。结果表明:①标准化降水蒸散指数(SPEI)是表征植被水分动态的最优指数,2000—2022年流域WUE与SPEI呈显著“双增”协同趋势(占比75.1%);②干旱对WUE时间效应尺度呈“西北短-东南长”的空间分异特征,全流域以“生理滞后型”响应机制为主(占比41.9%);③干旱对WUE的累积效应主要受生态系统固碳量(GPP)变化主导,其响应强度显著高于蒸散过程;④不同植被抗旱策略差异导致生态管理阈值分异,建议将草原预警阈值设定为 − 0.26,并将森林干预红线放宽至 − 3.0。本研究量化了气候过渡带植被对干旱的非线性响应特征,为区域生态风险管理提供了科学依据。

     

    Abstract: To analyze the nonlinear response mechanism of water-carbon coupling in the ecosystem under drought stress, the wavelet coherence analysis was used to select optimal drought indices, and the distributed lag model (DLM) was applied to explore the lag and cumulative effects of ecosystem water use efficiency (WUE) in response to drought stress in the Wei River basin. The results are as follows: ① The standardized precipitation evapotranspiration index (SPEI) is the optimal index for characterizing vegetation water dynamics, and WUE and SPEI in the Wei River basin during the period 2000—2022 exhibit a significant synergistic evolution pattern of both increase (accounting for 75.1%); ② The temporal scale of drought effects on WUE shows a spatial differentiation pattern of short term in the northwest and long term in the southeast, and the basin mainly exhibits a response mechanism of physiological lag (accounting for 41.9%); ③ The cumulative effect of drought on WUE is mainly driven by changes in ecosystem gross primary productivity (GPP), and its response intensity is significantly higher than that of the evapotranspiration process; ④ Differences in drought resistant strategies of various vegetation types lead to differentiation of thresholds for ecological management. It is recommended that the warning threshold for grassland should be set at −0.26 and the intervention threshold for forests at −3.0. This study quantifies the nonlinear vegetation response to drought in a climatic transition zone and provides a scientific basis for regional management of ecological risk.

     

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