中国植物水源分布的时空动态

IF 11.1 1区 地球科学 Q1 ENVIRONMENTAL SCIENCES
Hongjiang Chen, Genxu Wang, Juying Sun, Li Guo, Chunlin Song, Xiangyang Sun
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引用次数: 0

摘要

植物水分利用策略在调节土壤水分、调节植物-气候反馈、影响物种竞争和共生关系等方面发挥着至关重要的作用。然而,由于缺乏长期、大规模的植物水源研究,严重限制了对植物水源时空变化及其对生态水文过程影响的综合评价。为了解决这一挑战,本研究收集了中国210个研究区域的文献数据,并应用多元随机森林模型生成了2001 - 2022年中国植物水源分布的0.25°× 0.25°空间分辨率图。该模型估算了植物从不同土壤深度和地下水中吸收水分的比例,分析了不同植被类型间水源的变化,以及影响植物水源的关键因素。模型结果与已有的实验研究结果吻合良好,证明了模型在捕捉植物水源时空分布和变化趋势方面的可靠性。在全国范围内,植物平均34.64±6.45%的水分来自浅层土壤(0-30 cm), 24.60±3.42%来自中层土壤(30-60 cm), 32.68±6.74%来自深层土壤(>60 cm), 8.08±4.7%来自地下水。中国南方和半干旱的北方地区植物水源存在显著差异,南方地区植物主要依赖浅层和中深层土壤水,而西北地区植物对深层土壤水和地下水的依赖程度更高。土壤含水量和降水量与植物水源变化的相关性更为显著。其中,浅层土壤含水量和降水量与植物吸收浅层土壤水分的比例呈正相关,与植物吸收深层土壤水分的比例呈负相关。2001 - 2022年,全国范围内植物从浅层和深层土壤吸收水分的比例呈上升趋势,而从中层和地下水吸收水分的比例呈下降趋势。本研究填补了中国植物水源大规模综合研究的关键空白,为相关科学研究提供了有价值的数据和方法参考。本研究结果有助于认识植被对环境变化的适应能力,为生态水文模型模拟提供重要的驱动数据,为当前极端气候变化背景下更准确地评估生态系统适应和水资源变化提供重要数据支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Spatial and temporal dynamics of plant water source distribution in China
Plant water use strategies play a crucial role in regulating soil moisture, mediating plant-climate feedbacks, and influencing species competition and symbiotic relationships. However, the lack of long-term and large-scale studies on plant water sources has significantly limited comprehensive estimations of the spatiotemporal variations in plant water sources and their impacts on ecohydrological processes. To address this challenge, this study compiled literature data from 210 study regions across China and applied a multivariate random forest model to generate a 0.25° × 0.25° spatial resolution map of plant water source distributions in China from 2001 to 2022. The model estimated the proportions of water uptake by plants from different soil depths and groundwater, and analyzed the variations in water sources across different vegetation types, as well as the key factors influencing plant water sources. The model results aligned well with existing experimental studies, demonstrating their reliability in capturing the spatiotemporal distribution and trends of plant water sources. Nationally, plants derived on average 34.64 ± 6.45 % of their water from shallow soil (0–30 cm), 24.60 ± 3.42 % from middle soil (30–60 cm), 32.68 ± 6.74 % from deep soil (>60 cm), and 8.08 ± 4.7 % from groundwater. Significant differences in plant water sources were observed between southern and semi-arid northern regions of China, with plants in the southern regions predominantly relying on shallow and middle depth soil water, while those in the northwestern regions showed a greater dependence on deep soil water and groundwater. The correlation between soil water content and precipitation with variations in plant water sources was found to be more pronounced. Specifically, shallow soil moisture content and precipitation were positively correlated with the proportion of water absorbed by plants from shallow soil, but negatively correlated with the proportion of water absorbed from deep soil. From 2001 to 2022, there was a nationwide trend of an increased proportion of plant water uptake from shallow and deep soil layers, while the proportion from middle and groundwater decreased. This study fills a critical gap in the large-scale integrated study of plant water sources in China, providing valuable data and methodological references for related scientific research. The results of this study also contribute to the understanding of the ability to enhance vegetation adaptation to environmental changes, provide important driving data for ecohydrological model simulations and important data to support a more accurate assessment of ecosystem adaptation and water resource changes in the context of current extreme climate change.
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来源期刊
Remote Sensing of Environment
Remote Sensing of Environment 环境科学-成像科学与照相技术
CiteScore
25.10
自引率
8.90%
发文量
455
审稿时长
53 days
期刊介绍: Remote Sensing of Environment (RSE) serves the Earth observation community by disseminating results on the theory, science, applications, and technology that contribute to advancing the field of remote sensing. With a thoroughly interdisciplinary approach, RSE encompasses terrestrial, oceanic, and atmospheric sensing. The journal emphasizes biophysical and quantitative approaches to remote sensing at local to global scales, covering a diverse range of applications and techniques. RSE serves as a vital platform for the exchange of knowledge and advancements in the dynamic field of remote sensing.
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