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Spatiotemporal Variations of Forest Vegetation Phenology and Its Response to Climate Change in Northeast China

Authors :
Wenrui Zheng
Yuqi Liu
Xiguang Yang
Wenyi Fan
Source :
Remote Sensing, Vol 14, Iss 12, p 2909 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

Vegetation phenology is an important indicator of vegetation dynamics. The boreal forest ecosystem is the main part of terrestrial ecosystem in the Northern Hemisphere and plays an important role in global carbon balance. In this study, the dynamic threshold method combined with the ground-based phenology observation data was applied to extract the forest phenological parameters from MODIS NDVI time-series. Then, the spatiotemporal variation of forest phenology is discussed and the relationship between phenological change and climatic factors was concluded in the northeast China from 2011 to 2020. The results indicated that the distribution of the optimal extraction threshold has spatial heterogeneity, and the changing rate was 3% and 2% with 1° increase in latitude for SOS (the start of the growing season) and EOS (the end of the growing season). This research also notes that the SOS had an advanced trend at a rate of 0.29 d/a while the EOS was delayed by 0.47 d/a. This variation of phenology varied from different forest types. We also found that the preseason temperature played a major role in effecting the forest phenology. The temperature in winter of the previous year had a significant effect on SOS in current year. Temperature in autumn of the current year had a significant effect on EOS.

Details

Language :
English
ISSN :
20724292
Volume :
14
Issue :
12
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.8a8299b721e440e18a14e9ad3c5724da
Document Type :
article
Full Text :
https://doi.org/10.3390/rs14122909