Vegetation Dynamics and Its Trends Associated with Extreme Climate Events in the Yellow River Basin, China

Author:

Cao Yanping12,Xie Zunyi123,Huang Xinhe1,Cui Mengyang1,Wang Wenbao4,Li Qingqing1

Affiliation:

1. College of Geography and Environmental Science, Henan University, Kaifeng 475004, China

2. Key Laboratory of Geospatial Technology for the Middle and Lower Yellow River Region, Ministry of Education, Henan University, Kaifeng 475004, China

3. School of Earth and Environmental Sciences, University of Queensland, Brisbane, QLD 4072, Australia

4. Beijing Totop Technology Co., Ltd., Beijing 100043, China

Abstract

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.

Funder

National Natural Science Foundation of China

Natural Science Foundation of Henan Province

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference62 articles.

1. Changes in global vegetation activity and its driving factors during 1982–2013;Zhao;Agric. For. Meteorol.,2018

2. Machine Learning-Based Modeling of Vegetation Leaf Area Index and Gross Primary Productivity across North America and Comparison with a Process-Based Model;Zhang;J. Adv. Model. Earth Syst.,2021

3. Spatio-temporal analysis of vegetation variation in the Yellow River Basin;Jiang;Ecol. Indic.,2015

4. Urbanization effects on vegetation cover in major African cities during 2001–2017;Yao;Int. J. Appl. Earth Obs. Geoinf.,2019

5. IPCC (2021). Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3