Suppr超能文献

揭示干旱和作物生产对美国本土地下水位的因果影响。

Unraveling the causal influences of drought and crop production on groundwater levels across the contiguous United States.

作者信息

Singh Nitin K, Saia Sheila M, Bhattacharya Ruchi, Ajami Hoori, Borrok David M

机构信息

Department of Crop, Soil, and Environmental Sciences, Auburn University, Auburn, AL 36849, USA.

Center for Ecological Analytics and Modeling, Tetra Tech, Research Triangle Park, Durham, NC 27703, USA.

出版信息

PNAS Nexus. 2025 Apr 28;4(5):pgaf129. doi: 10.1093/pnasnexus/pgaf129. eCollection 2025 May.

Abstract

Groundwater depletion in agricultural-dominated regions is attributed to climate and irrigation withdrawals that support crop production. However, despite decades of effort, knowledge gaps remain in understanding the relative influence of drought and crop production on groundwater levels at the continental scale. Here, utilizing empirical observations, we simultaneously track how long-term trajectories of groundwater levels, crop production of seven crops, and drought have evolved over time, and then integrate these observations with a causality-based attribution framework to unravel the relative impact of drought and crop production on groundwater levels across the contiguous United States (CONUS). We find a dominant pattern of decreases in groundwater levels with increases (25-61%) or no change (1-15%) in crop production across the CONUS. We estimate a significant ( < 0.1) causal influence of crop production and drought on groundwater levels in ∼32% ( = 101) and ∼20% ( = 62) of counties, respectively. Further, the extent of impact of crop production on groundwater varies with region and is most pronounced for cotton (42%, = 18) and wheat (17%, = 39). The memory effects of crop production (median: 7 years) and drought (median: 3 years) on groundwater levels imply that their impact could last much longer than the annual crop production cycle or the drought exposure period. Further, these findings allude to circular causality between groundwater and crop production, where both entities depend on each other at different time scales. Our work builds on past work and contributes to the growing understanding of food security and groundwater availability to manage these commodities to meet future demands.

摘要

以农业为主的地区地下水消耗归因于支持作物生产的气候因素和灌溉用水抽取。然而,尽管经过了数十年的努力,在理解干旱和作物生产对大陆尺度地下水位的相对影响方面,仍然存在知识空白。在此,我们利用实证观测数据,同时追踪地下水位的长期变化轨迹、七种作物的产量以及干旱情况随时间的演变,然后将这些观测结果与基于因果关系的归因框架相结合,以揭示干旱和作物生产对美国本土(CONUS)地下水位的相对影响。我们发现,在美国本土,随着作物产量增加(25%-61%)或无变化(1%-15%),地下水位呈现出下降的主导模式。我们估计,作物生产和干旱对约32%(n = 101)和约20%(n = 62)的县的地下水位分别具有显著(< 0.1)的因果影响。此外,作物生产对地下水的影响程度因地区而异,对棉花(42%,n = 18)和小麦(17%,n = 39)最为明显。作物生产(中位数:7年)和干旱(中位数:3年)对地下水位的记忆效应意味着它们的影响可能比年度作物生产周期或干旱暴露期持续更长时间。此外,这些发现暗示了地下水与作物生产之间的循环因果关系,即这两个实体在不同时间尺度上相互依赖。我们的工作基于以往的研究,并有助于加深对粮食安全和地下水可利用性的理解,以便管理这些资源以满足未来需求。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a994/12056729/b1aebe037b5f/pgaf129f1.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