Suppr超能文献

美国地下水对作物产量影响的观测证据。

Observational evidence for groundwater influence on crop yields in the United States.

作者信息

Deines Jillian M, Archontoulis Sotirios V, Huber Isaiah, Lobell David B

机构信息

Department of Earth System Science, Center on Food Security and the Environment, Stanford University, Stanford, CA 94305.

Earth Systems Predictability and Resiliency Group, Pacific Northwest National Laboratory, Richland, WA 99354.

出版信息

Proc Natl Acad Sci U S A. 2024 Sep 3;121(36):e2400085121. doi: 10.1073/pnas.2400085121. Epub 2024 Aug 26.

Abstract

As climate change shifts crop exposure to dry and wet extremes, a better understanding of factors governing crop response is needed. Recent studies identified shallow groundwater-groundwater within or near the crop rooting zone-as influential, yet existing evidence is largely based on theoretical crop model simulations, indirect or static groundwater data, or small-scale field studies. Here, we use observational satellite yield data and dynamic water table simulations from 1999 to 2018 to provide field-scale evidence for shallow groundwater effects on maize yields across the United States Corn Belt. We identify three lines of evidence supporting groundwater influence: 1) crop model simulations better match observed yields after improvements in groundwater representation; 2) machine learning analysis of observed yields and modeled groundwater levels reveals a subsidy zone between 1.1 and 2.5 m depths, with yield penalties at shallower depths and no effect at deeper depths; and 3) locations with groundwater typically in the subsidy zone display higher yield stability across time. We estimate an average 3.4% yield increase when groundwater levels are at optimum depth, and this effect roughly doubles in dry conditions. Groundwater yield subsidies occur ~35% of years on average across locations, with 75% of the region benefitting in at least 10% of years. Overall, we estimate that groundwater-yield interactions had a net monetary contribution of approximately $10 billion from 1999 to 2018. This study provides empirical evidence for region-wide groundwater yield impacts and further underlines the need for better quantification of groundwater levels and their dynamic responses to short- and long-term weather conditions.

摘要

随着气候变化使作物面临更多干湿极端情况,我们需要更好地了解影响作物反应的因素。近期研究发现,浅层地下水(即作物根区内部或附近的地下水)具有重要影响,但现有证据大多基于理论作物模型模拟、间接或静态地下水数据,或小规模田间研究。在此,我们利用1999年至2018年的卫星观测产量数据和动态地下水位模拟,为美国玉米带浅层地下水对玉米产量的影响提供田间尺度的证据。我们确定了支持地下水影响的三条证据:1)在改进地下水表示后,作物模型模拟与观测产量更匹配;2)对观测产量和模拟地下水位的机器学习分析揭示了一个深度在1.1至2.5米之间的增产区,较浅深度会导致产量损失,而较深深度则无影响;3)地下水位通常处于增产区的地点随时间显示出更高的产量稳定性。我们估计,当地下水位处于最佳深度时,平均产量可提高3.4%,在干旱条件下这种影响大致会翻倍。平均而言,各地约35%的年份会出现地下水增产补贴,该地区75%的区域至少在10%的年份从中受益。总体而言,我们估计1999年至2018年期间,地下水与产量的相互作用带来的净货币贡献约为100亿美元。这项研究为全区域地下水对产量的影响提供了实证证据,并进一步强调了更好地量化地下水位及其对短期和长期天气条件的动态响应的必要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8fcf/11388334/10905834e6a8/pnas.2400085121fig01.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验