Response of vegetation phenology to climate factors in the source region of the Yangtze and Yellow Rivers

Author:

Jiang Qingqing1,Yuan Zhe2,Yin Jun1,Yao Mingze1,Qin Tianling3,Lü Xizhi4,Wu Guangdong2

Affiliation:

1. Department of Geographical Sciences, Faculty of Resources and Environmental Science, Hubei University , Wuhan 430062 , China

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

3. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research , Beijing 100038 , China

4. Henan Key Laboratory of Yellow Basin Ecological Protection and Restoration, Yellow River Institute of Hydraulic Research , Zhengzhou 450003 , China

Abstract

Abstract Exploring the impact of climate factors on vegetation phenology is crucial to understanding climate–vegetation interactions as well as carbon and water cycles in ecosystems in the context of climate change. In this article, we extracted the vegetation phenology data from 2002 to 2021 based on the dynamic threshold method in the source region of the Yangtze and Yellow Rivers. Trend and correlation analyses were used to investigate the relationship between vegetation phenology and temperature, precipitation and their spatial evolution characteristics. The results showed that: (i) From 2002 to 2021, the multi-year average start of growing season (SOS), end of growing season (EOS) and length of growing season (LOS) for plants were concentrated in May, October and 4–6 months, with a trend of 4.9 days (earlier), 1.5 days (later), 6.3 days/10 a (longer), respectively. (ii) For every 100 m increase in elevation, SOS, EOS and LOS were correspondingly delayed by 1.8 days, advanced by 0.8 days and shortened by 2.6 days, respectively. (iii) The impacts of temperature and precipitation on vegetation phenology varied at different stages of vegetation growth. Influencing factors of spring phenology experienced a shift from temperature to precipitation, while autumn phenology experienced precipitation followed by temperature. (iv) The climate factors in the previous period significantly affected the vegetation phenology in the study area and the spatial variability was obvious. Specifically, the temperature in April significantly affected the spring phenology and precipitation in August widely affected the autumn phenology.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Research Fund of Key Laboratory of Water Management and Water Security for Yellow River Basin, Ministry of Water Resources

Natural Science Foundation of Hubei Province

National Public Research Institutes for Basic R&D Operating Expenses Special Project

Publisher

Oxford University Press (OUP)

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