Why Hydrological Memory Dominates in Low‐Latitude Highlands: A Mechanistic Shift in Ecosystem Response to Extremes
Abstract Understanding how compound extremes affect terrestrial ecosystems is a major challenge in Earth system science. Although the combined effects of stressors are recognized, the manner in which the prestress state determines the basic response mechanism remains unclear. In this study, we used the “natural experiment” methodology to compare two major extreme events within a monsoon‐influenced, low‐latitude highlands setting to explain mechanistic changes in land‐atmosphere interactions. By analyzing an extensive set of remote sensing and reanalysis data with nonlinear structural equation modeling, we show that the ecosystem response shifted from a traditional water‐limited paradigm during the 2010 drought to an energy‐governed paradigm during the 2019 heatwave. Our results suggest that this transition is governed by the antecedent root zone soil moisture status, which acts as a tipping point fundamentally shifting the impact of atmospheric factors on canopy evapotranspiration screens, such as temperature and vapor pressure deficit. This study highlights a possible threshold‐type state dependence non‐linearity, which is lacking in major Earth System Models. Incorporating this “hydrological memory” is crucial for minimizing uncertainties in climate projections and for correctly assessing the vulnerability of ecosystems in a warming world.
Authors
- Jing Peng (ORCID: https://orcid.org/0000-0003-2834-6698)
- Shuaichen He (ORCID: https://orcid.org/0000-0002-4135-437X)
- Hui Zheng (ORCID: https://orcid.org/0000-0001-7580-9128)
- Fuqiang Yang (ORCID: https://orcid.org/0000-0001-8746-3347)
- Qing Yang (ORCID: https://orcid.org/0000-0003-1843-386X)
- Li Dan (ORCID: https://orcid.org/0000-0001-8759-9412)
- Wei Pan (ORCID: https://orcid.org/0000-0003-1121-9879)
- Kai Li (ORCID: https://orcid.org/0000-0001-6234-6806)
- Peng Zhou (ORCID: https://orcid.org/0000-0003-3047-1287)
- Younong Li
Institutions
- Yunnan University (CN)
- Beijing Normal University (CN)
- Institute of Atmospheric Physics (CN)
Publication Details
- Journal
- AGU Advances
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1029/2025av001973
- Primary Topic
- Climate variability and models
- Type
- article
- Field-Weighted Citation Impact
- 0.00