Response of Vegetation Phenology to Meteorological Factors in Different Eco-Geographic Zones in China

Yutong Liang, Jinxin Yang, Qiang Yang (), Wenkai Chen, Juncheng Fan and Yuanyuan Chen
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Yutong Liang: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Jinxin Yang: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Qiang Yang: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Wenkai Chen: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Juncheng Fan: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China
Yuanyuan Chen: College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China

Land, 2024, vol. 13, issue 12, 1-21

Abstract: Vegetation phenology is highly sensitive to climate change, and an examination of vegetation phenology across diverse climatic conditions is crucial for identifying key factors influencing vegetation dynamics. However, there is a significant lack of macroscopic research and quantitative assessments on the response of vegetation phenology to meteorological factors in large-scale zones. This study employed Whittaker filtering and dynamic thresholding to extract phenological parameters of vegetation in China. Trend analysis was used to investigate the spatiotemporal changes in vegetation phenology from 1982 to 2022, while partial correlation and ridge regression analysis were conducted to quantify the response of vegetation in different zones to meteorological factors. The findings of this study demonstrate that over the past four decades, the start of the growing season (SOS) of vegetation in China has progressively advanced annually, whereas the end of the growing season (EOS) has progressively delayed annually, leading to an annual increase in the length of the growing season (LOS). Notably, these changes exhibit significant spatial variations. The response of vegetation phenology to temperature and precipitation is relatively complex and is closely related to local climatic conditions, humidity, vegetation type, etc. Different zones and diverse vegetation types have very different sensitivities to the same meteorological factor, sometimes even demonstrating contrasting responses. Consequently, this study is expected to clarify the response relationship between different vegetation ecosystems and meteorological factors in large-scale areas.

Keywords: meteorological factors; vegetation phenology; climate change; partial correlation; ridge regression (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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