Suppr超能文献

揭示气候和地下水对中国华北平原海洋沉积盆地植被覆盖时空变化的影响。

Revealing climatic and groundwater impacts on the spatiotemporal variations in vegetation coverage in marine sedimentary basins of the North China Plain, China.

机构信息

Hebei Key Laboratory of Geological Resources and Environment Monitoring and Protection, Hebei Geo-Environment Monitoring Institute, Shijiazhuang, 050021, China.

Changjiang Water Resources Commission of the Ministry of Water Resources of China, Changjiang River Scientific Research Institute, Wuhan, 430010, China.

出版信息

Sci Rep. 2024 May 2;14(1):10085. doi: 10.1038/s41598-024-60838-5.

Abstract

The North China Plain (NCP) is one of the three great plains in China and also serves as a vital region for grain, cotton, and oil production. Under the influence of regional hydrothermal changes, groundwater overexploitation, and seawater intrusion, the vegetation coverage is undergoing continuous alterations. However, a comprehensive assessment of impacts of precipitation, temperature, and groundwater on vegetation in marine sedimentary regions of the NCP is lacking. Heilonggang Basin (HB) is located in the low-lying plain area in the east of NCP, which is part of the NCP. In this study, the HB was chosen as a typical area of interest. We collected a series of data, including the Normalized Difference Vegetation Index (NDVI), precipitation, temperature, groundwater depth, and Total Dissolved Solids (TDS) from 2001 to 2020. Then the spatiotemporal variation in vegetation was analyzed, and the underlying driving mechanisms of vegetation variation were explored in this paper. The results show that NDVI experiences a rapid increase from 2001 to 2004, followed by stable fluctuations from 2004 to 2020. The vegetation in the HB has achieved an overall improvement in the past two decades, with 76% showing improvement, mainly in the central and eastern areas, and 24% exhibiting deterioration in other areas. From 2001 to 2020, NDVI correlates positively with precipitation, whereas its relationship with temperature fluctuates between positive and negative, and is not statistically significant. There is a threshold for the synergistic change of NDVI and groundwater depth. When the groundwater depth is lower than 3.8 m, NDVI increases sharply with groundwater depth. However, beyond this threshold, NDVI tends to stabilize and fluctuate. In the eastern coastal areas, NDVI exhibits a strong positive correlation with groundwater depth, influenced by the surface soil TDS controlled by groundwater depth. In the central regions, a strong negative correlation is observed, where NDVI is primarily impacted by soil moisture under the control of groundwater. In the west and south, a strong positive correlation exists, with NDVI primarily influenced by the intensity of groundwater exploitation. Thus, precipitation and groundwater are the primary driving forces behind the spatiotemporal variability of vegetation in the HB, while in contrast, the influence of temperature is uncertain. This study has elucidated the mechanism of vegetation response, providing a theoretical basis for mitigating adverse factors affecting vegetation growth and formulating rational water usage regulations in the NCP.

摘要

华北平原(NCP)是中国三大平原之一,也是粮食、棉花和油料生产的重要地区。在区域水热变化、地下水过度开采和海水入侵的影响下,植被覆盖正在不断发生变化。然而,对于 NCP 海相沉积区降水、温度和地下水对植被的综合影响评估还很缺乏。黑龙港流域(HB)位于 NCP 东部的低平原区,属于 NCP 的一部分。本研究选择 HB 作为一个典型的研究区域。我们收集了一系列数据,包括 2001 年至 2020 年的归一化植被指数(NDVI)、降水、温度、地下水深度和总溶解固体(TDS)。然后分析了植被的时空变化,并探讨了植被变化的潜在驱动机制。结果表明,NDVI 从 2001 年到 2004 年迅速增加,然后在 2004 年至 2020 年期间稳定波动。HB 的植被在过去二十年中得到了整体改善,76%的地区得到了改善,主要集中在中部和东部地区,而 24%的地区则出现了恶化。2001 年至 2020 年,NDVI 与降水呈正相关,而与温度的关系则在正负之间波动,且无统计学意义。NDVI 与地下水深度的协同变化存在一个阈值。当地下水深度低于 3.8 米时,NDVI 随地下水深度急剧增加。然而,超过这个阈值后,NDVI 趋于稳定并波动。在东部沿海地区,NDVI 与地下水深度呈强正相关,这受到地下水控制的地表土壤 TDS 的影响。在中部地区,观察到强负相关,NDVI 主要受地下水控制下的土壤水分影响。在西部和南部,存在强正相关,NDVI 主要受地下水开采强度的影响。因此,降水和地下水是 HB 植被时空变化的主要驱动力,而温度的影响则不确定。本研究阐明了植被响应的机制,为减轻影响植被生长的不利因素和制定 NCP 合理的用水规定提供了理论依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd7e/11066038/6c39b5f4f33c/41598_2024_60838_Fig1_HTML.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