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author:

Zhang, Rongrong (Zhang, Rongrong.) [1] | Qi, Junyu (Qi, Junyu.) [2] | Leng, Song (Leng, Song.) [3] | Wang, Qianfeng (Wang, Qianfeng.) [4] (Scholars:王前锋)

Indexed by:

EI SCIE

Abstract:

Due to the complex coupling between phenology and climatic factors, the influence mechanism of climate, especially preseason temperature and preseason precipitation, on vegetation phenology is still unclear. In the present study, we explored the long-term trends of phenological parameters of different vegetation types in China north of 30 degrees N from 1982 to 2014 and their comprehensive responses to preseason temperature and precipitation. Simultaneously, annual double-season phenological stages were considered. Results show that the satellite-based phenological data were corresponding with the ground-based phenological data. Our analyses confirmed that the preseason temperature has a strong controlling effect on vegetation phenology. The start date of the growing season (SOS) had a significant advanced trend for 13.5% of the study area, and the end date of the growing season (EOS) showed a significant delayed trend for 23.1% of the study area. The impact of preseason precipitation on EOS was overall stronger than that on SOS, and different vegetation types had different responses. Compared with other vegetation types, SOS and EOS of crops were greatly affected by human activities while the preseason precipitation had less impact. This study will help us to make a scientific decision to tackle global climate change and regulate ecological engineering.

Keyword:

climate change phenology precipitation preseason temperature vegetation

Community:

  • [ 1 ] [Zhang, Rongrong]Fuzhou Univ, Coll Environm & Safety Engn, Fujian Prov Key Lab Remote Sensing Soil Eros, Fuzhou 350116, Peoples R China
  • [ 2 ] [Wang, Qianfeng]Fuzhou Univ, Coll Environm & Safety Engn, Fujian Prov Key Lab Remote Sensing Soil Eros, Fuzhou 350116, Peoples R China
  • [ 3 ] [Qi, Junyu]Univ Maryland, Earth Syst Sci Interdisciplinary Ctr, College Pk, MD 20740 USA
  • [ 4 ] [Leng, Song]Univ Technol Sydney, Sch Life Sci, Sydney, NSW 2007, Australia
  • [ 5 ] [Wang, Qianfeng]Minist Educ China, Key Lab Spatial Data Min & Informat Sharing, Fuzhou 350116, Peoples R China

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Source :

REMOTE SENSING

ISSN: 2072-4292

Year: 2022

Issue: 6

Volume: 14

5 . 0

JCR@2022

4 . 2 0 0

JCR@2023

ESI Discipline: GEOSCIENCES;

ESI HC Threshold:51

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count: 43

SCOPUS Cited Count: 44

ESI Highly Cited Papers on the List: 4 Unfold All

  • 2023-5
  • 2023-3
  • 2023-1
  • 2022-11

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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