Abstract

Vegetation phenology can profoundly modulate the climate-biosphere interactions and thus plays a crucial role in regulating the terrestrial carbon cycle and the climate. However, most previous phenology studies rely on traditional vegetation indices, which are inadequate to characterize the seasonal activity of photosynthesis. Here, we generated an annual vegetation photosynthetic phenology dataset with a spatial resolution of 0.05 degrees from 2001 to 2020, using the latest gross primary productivity product based on solar-induced chlorophyll fluorescence (GOSIF-GPP). We combined smoothing splines with multiple change-point detection to retrieve the phenology metrics: start of the growing season (SOS), end of the growing season (EOS), and length of growing season (LOS) for terrestrial ecosystems above 30° N latitude (Northern Biomes). Our phenology product can be used to validate and develop phenology or carbon cycle models and monitor the climate change impacts on terrestrial ecosystems.

Details

Title
Vegetation photosynthetic phenology dataset in northern terrestrial ecosystems
Author
Fang, Jing 1 ; Li, Xing 2 ; Xiao, Jingfeng 3   VIAFID ORCID Logo  ; Yan, Xiaodong 4 ; Li, Bolun 2 ; Liu, Feng 1 

 Chinese Academy of Sciences, CAS Key Laboratory of Aquatic Botany and Watershed Ecology, Wuhan Botanical Garden, Wuhan, China (GRID:grid.9227.e) (ISNI:0000000119573309); Chinese Academy of Sciences, Center of Plant Ecology, Core Botanical Gardens, Wuhan, China (GRID:grid.9227.e) (ISNI:0000000119573309) 
 Seoul National University, Research Institute of Agriculture and Life Sciences, Seoul, South Korea (GRID:grid.31501.36) (ISNI:0000 0004 0470 5905) 
 University of New Hampshire, Earth Systems Research Center, Institute for the Study of Earth, Oceans, and Space, Durham, USA (GRID:grid.167436.1) (ISNI:0000 0001 2192 7145) 
 Beijing Normal University, State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing, China (GRID:grid.20513.35) (ISNI:0000 0004 1789 9964) 
Pages
300
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20524463
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2815861540
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.