How land surface characteristics influence the development of flash drought through the drivers of soil moisture and vapor pressure deficit

IF 3.1 3区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Hydrometeorology Pub Date : 2023-06-12 DOI:10.1175/jhm-d-22-0158.1
L. Lowman, J. Christian, E. Hunt
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引用次数: 1

Abstract

As global mean temperature rises, extreme drought events are expected to increasingly affect regions of the US that are crucial for agriculture, forestry, and natural ecology. A pressing need is to better understand and anticipate the conditions under which extreme drought causes catastrophic failure to vegetation in these areas. In order to better predict drought impacts on ecosystems, we first must understand how specific drivers, namely, atmospheric aridity and soil water stress, affect land-surface processes during the evolution of flash drought events. In this study, we evaluated when vapor pressure deficit (VPD) and soil moisture thresholds corresponding to photosynthetic shutdown were crossed during flash drought events across different climate zones and land surface characteristics in the US. First, the Dynamic Canopy Biophysical Properties (DCBP) model was used to estimate the thresholds that define reduced photosynthesis by assimilating vegetation phenology data from MODIS to a predictive phenology model. Next, we characterized and quantified flash drought onset, intensity, and duration using the Standardized Evaporative Stress Ratio (SESR) and NLDAS-2 reanalysis. Once periods of flash drought were identified, we investigated how VPD and soil moisture co-evolved across regions and plant functional types. Results demonstrate that croplands and grasslands tend to be more sensitive to soil water limitations than trees across different regions of the US. We found that whether VPD or soil moisture was the primary driver of plant water stress during drought was largely region-specific. The results of this work will help to inform land managers of early warning signals relevant for specific ecosystems under threat of flash drought events.
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地表特征如何通过土壤水分和水汽压亏缺的驱动因素影响突发性干旱的发展
随着全球平均气温上升,极端干旱事件预计将越来越多地影响美国对农业、林业和自然生态至关重要的地区。迫切需要更好地了解和预测极端干旱在这些地区造成灾难性植被破坏的条件。为了更好地预测干旱对生态系统的影响,我们首先必须了解特定的驱动因素,即大气干旱和土壤水分胁迫,在突发性干旱事件的演变过程中如何影响陆地表面过程。在这项研究中,我们评估了在美国不同气候区和地表特征的突发性干旱事件中,蒸汽压亏缺(VPD)和土壤水分阈值对应的光合作用关闭。首先,利用动态冠层生物物理特性(DCBP)模型,通过将MODIS的植被物候数据同化到预测物候模型中,估算出定义光合作用减少的阈值。接下来,我们利用标准化蒸发应力比(SESR)和NLDAS-2再分析对突发性干旱的发生、强度和持续时间进行了表征和量化。一旦确定了突发性干旱时期,我们就研究了VPD和土壤湿度如何在区域和植物功能类型之间共同演化。结果表明,在美国不同地区,农田和草地比树木对土壤水分限制更敏感。研究发现,干旱时期植物水分胁迫的主要驱动因素是VPD还是土壤水分,这在很大程度上是区域特异性的。这项工作的结果将有助于使土地管理者了解与遭受突发干旱事件威胁的特定生态系统有关的早期预警信号。
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来源期刊
Journal of Hydrometeorology
Journal of Hydrometeorology 地学-气象与大气科学
CiteScore
7.40
自引率
5.30%
发文量
116
审稿时长
4-8 weeks
期刊介绍: The Journal of Hydrometeorology (JHM) (ISSN: 1525-755X; eISSN: 1525-7541) publishes research on modeling, observing, and forecasting processes related to fluxes and storage of water and energy, including interactions with the boundary layer and lower atmosphere, and processes related to precipitation, radiation, and other meteorological inputs.
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