The Seasonal Divergence in the Weakening Relationship between Interannual Temperature Changes and Northern Boreal Vegetation Activity

Author:

Zhao Haijiang123,Jin Ning4,Wang Xiurong5,Fu Guiqin6,Xiang Kunlun7,Wang Liang8,Zhao Jie89ORCID

Affiliation:

1. China Meteorological Administration Xiong’an Atmospheric Boundary Layer Key Laboratory, Xiong’an New Area 071800, China

2. Key Laboratory of Meteorology and Ecological Environment of Hebei Province, Shijiazhuang 050021, China

3. Zhangjiakou Meteorological Bureau of Hebei Province, Zhangjiakou 075000, China

4. Department of Resources and Environmental Engineering, Shanxi Institute of Energy, Jinzhong 030600, China

5. Public Meteorological Service Center, China Meteorological Administration, Beijing 100081, China

6. Hebei Meteorological Service Center, Shijiazhuang 050021, China

7. Guangdong Ecological Meteorology Center, Guangzhou 510275, China

8. Shandong Provincial Key Laboratory of Water and Soil Conservation and Environmental Protection, College of Resources and Environment, Linyi University, Linyi 273300, China

9. College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, China

Abstract

The response of boreal vegetation to global warming has shown a weakening trend over the last three decades. However, in previous studies, models of vegetation activity responses to temperature change have often only considered changes in the mean daily temperature (Tmean), with the diurnal temperature range (DTR) being neglected. The goal of this study was to evaluate the temporal trends of the relationships between two temperature factors (Tmean and DTR) and the vegetation activity across the boreal regions on both annual and seasonal timescales, by simultaneously employing satellite and climate datasets. We found that the interannual partial correlation between the growing season (GS) NDVI and Tmean (RNDVI−Tmean) has shown a significant decreasing trend over the last 34 years. At the seasonal scale, the RNDVI−Tmean showed a significant upward trend in the spring, while in the summer and autumn, the RNDVI−Tmean exhibited a significant downward trend. The temporal trend characteristics of the partial correlation between the NDVI and DTR (RNDVI−DTR), at both the GS and seasonal scales, were fully consistent with the RNDVI−Tmean. The area with a significant decrease in the GS RNDVI−Tmean and RNDVI−DTR accounted for approximately 44.4% and 41.2% of the boreal region with the 17-year moving window, respectively. In stark contrast, the area exhibiting a significant increasing trend in the GS RNDVI−Tmean and RNDVI−DTR accounted for only approximately 22.3% and 25.8% of the boreal region with the 17-year moving window, respectively. With respect to the seasonal patterns of the RNDVI−Tmean and RNDVI−DTR, the area with a significant upward trend in the spring was greater than that with a significant downward trend. Nevertheless, more areas had a significant downward trend in the RNDVI−Tmean and RNDVI−DTR in summer and autumn than a significant upward trend. Overall, our research reveals a weakening trend in the impact of temperature on the vegetation activity in the boreal regions and contributes to a deeper understanding of the vegetation response to global warming.

Funder

Natural Science Foundation of Guangdong Province

Science and Technology Research Project of Guangdong Meteorological Administration

Open Research Fund of the National Engineering Research Center for Agro-Ecological Big Data Analysis & Application, Anhui University

Publisher

MDPI AG

Subject

Plant Science,Ecology,Ecology, Evolution, Behavior and Systematics

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