黄河流域植被动态及其与极端气候事件的关系

IF 4.2 2区 地球科学 Q2 ENVIRONMENTAL SCIENCES
Remote Sensing Pub Date : 2023-09-25 DOI:10.3390/rs15194683
Yanping Cao, Zunyi Xie, Xinhe Huang, Mengyang Cui, Wenbao Wang, Qingqing Li
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引用次数: 0

摘要

黄河流域作为中国重要的生态屏障,对中国的国家发展和现代化建设具有重要的战略意义。然而,长江三角洲生态系统脆弱,对气候变化敏感。极端气候事件(如强降水、热浪和极端冷热)在该盆地频繁发生,但这些事件对植被动态的影响(积极和消极影响)仍未得到充分了解。结合净初级生产力(NPP)、归一化植被指数(NDVI)和极端气候指数,探讨了黄河流域植物生长与极端气候的时空特征,以及植物生长对极端气候的反应。研究表明,研究区耕地、森林和草地的NPP和NDVI均呈现上升趋势。多年月平均NPP和NDVI均呈典型的单峰分布,NPP最大值(66.18 gC·m−2)和NDVI最大值(0.54)分别出现在7月和8月。在空间上,植被指标的多年平均值从东南向西北递减。研究期间,大部分湿地的碳通量(NPP)和植被指数(NDVI)均有所改善。极端降水指数和极端高温指数呈上升趋势;但随着时间的推移,极低温指数逐渐降低。NPP和NDVI与极端低温指数呈负相关,与极端高温指数和除连续干旱日数外的极端降水指数呈正相关。时差互相关分析表明,极端温度指数对植被指数(NPP和NDVI)的影响延迟约6个月,而极端降水指数的影响是直接的。研究结果有助于我们理解植物的生长及其对极端气候的反应,并为基于证据的黄河流域生态管理实践提供重要支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vegetation Dynamics and Its Trends Associated with Extreme Climate Events in the Yellow River Basin, China
As a vital ecological barrier in China, Yellow River Basin (YRB) is strategically significant for China’s national development and modernization. However, YRB has fragile ecosystems, and is sensitive to climatic change. Extreme climate events (e.g., heavy precipitation, heatwaves, and extreme hot and cold) occur frequently in this basin, but the implications (positive and negative effects) of these events on vegetation dynamics remains insufficiently understood. Combing with net primary productivity (NPP), the normalized difference vegetation index (NDVI) and extreme climate indexes, we explored the spatio–temporal characteristics of plants’ growth and extreme climate, together with the reaction of plants’ growth to extreme climate in the Yellow River Basin. This study demonstrated that annual NPP and NDVI of cropland, forest, and grassland in the study region all revealed a climbing tendency. The multi-year monthly averaged NPP and NDVI were characterized by a typical unimodal distribution, with the maximum values of NPP (66.18 gC·m−2) and NDVI (0.54) occurring in July and August, respectively. Spatially, multi–year averaged of vegetation indicators decreased from southeast to northwest. During the study period, carbon flux (NPP) and vegetation index (NDVI) both exhibited improvement in most of the YRB. The extreme precipitation indexes and extreme high temperature indexes indicated an increasing tendency; however, the extreme low temperature indexes reduced over time. NPP and NDVI were negatively associated with extreme low temperature indexes and positively correlated with extreme high temperature indexes, and extreme precipitation indicators other than consecutive dry days. Time lag cross–correlation analysis displayed that the influences of extreme temperature indexes on vegetation indexes (NPP and NDVI) were delayed by approximately six months, while the effects of extreme precipitation indexes were immediate. The study outcomes contribute to our comprehension of plants’ growth, and also their reaction to extreme climates, and offer essential support for evidence–based ecological management practices in the Yellow River Basin.
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来源期刊
Remote Sensing
Remote Sensing REMOTE SENSING-
CiteScore
8.30
自引率
24.00%
发文量
5435
审稿时长
20.66 days
期刊介绍: Remote Sensing (ISSN 2072-4292) publishes regular research papers, reviews, letters and communications covering all aspects of the remote sensing process, from instrument design and signal processing to the retrieval of geophysical parameters and their application in geosciences. Our aim is to encourage scientists to publish experimental, theoretical and computational results in as much detail as possible so that results can be easily reproduced. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.
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