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Title: Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis *

Abstract

Abstract Vegetation seasonality in the northern extratropical latitudes (NEL) has changed dramatically, but our understanding of how it responds to climate change (e.g. temperature, soil moisture, shortwave radiation) and human activities (e.g. elevated CO 2 concentration) remains insufficient. In this study, we used two remote-sensing-based leaf area index and factorial simulations from the TRENDY models to attribute the changes in the integrated vegetation seasonality index ( S ), which captures both the concentration and magnitude of vegetation growth throughout the year, to climate, CO 2 , and land use and land cover change (LULCC). We found that from 2003 to 2020, the enhanced average S in the NEL (MODIS: 0.0022 yr −1 , p < 0.05; GLOBMAP: 0.0018 yr −1 , p < 0.05; TRENDY S3 [i.e. the scenario considering both time-varying climate, CO 2 , and LULCC]: 0.0011 ± 7.5174 × 10 −4 yr −1 , p < 0.05) was primarily determined by the elevated CO 2 concentration (5.3 × 10 −4 ± 3.8 × 10 −4 yr −1 , p < 0.05) and secondly controlled by the combined climate change (4.6 × 10 −4 ± 6.6 × 10 −4 yr −1 , p > 0.1). Geographically, negative trendsmore » in the vegetation growth concentration were dominated by climate change (31.4%), while both climate change (47.9%) and CO 2 (31.9%) contributed to the enhanced magnitude of vegetation growth. Furthermore, around 60% of the study areas showed that simulated major climatic drivers of S variability exhibited the same dominant factor as observed in either the MODIS or GLOBMAP data. Our research emphasizes the crucial connection between environmental factors and vegetation seasonality, providing valuable insights for policymakers and land managers in developing sustainable ecosystem management strategies amidst a changing climate.« less

Authors:
; ORCiD logo; ORCiD logo; ; ; ;
Publication Date:
Research Org.:
Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Biological and Environmental Research (BER); National Natural Science Foundation of China (NSFC)
OSTI Identifier:
2000787
Alternate Identifier(s):
OSTI ID: 1998807; OSTI ID: 2001363
Grant/Contract Number:  
AC05-00OR22725; 42088101; 42021004
Resource Type:
Published Article
Journal Name:
Environmental Research Letters
Additional Journal Information:
Journal Name: Environmental Research Letters Journal Volume: 18 Journal Issue: 9; Journal ID: ISSN 1748-9326
Publisher:
IOP Publishing
Country of Publication:
United Kingdom
Language:
English
Subject:
54 ENVIRONMENTAL SCIENCES; vegetation seasonality; factorial simulations; environmental drivers

Citation Formats

Kong, Xiangxu, Mao, Jiafu, Chen, Haishan, Wang, Yaoping, Zhang, Yulong, Shi, Xiaoying, and Jin, Mingzhou. Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis *. United Kingdom: N. p., 2023. Web. doi:10.1088/1748-9326/acf728.
Kong, Xiangxu, Mao, Jiafu, Chen, Haishan, Wang, Yaoping, Zhang, Yulong, Shi, Xiaoying, & Jin, Mingzhou. Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis *. United Kingdom. https://doi.org/10.1088/1748-9326/acf728
Kong, Xiangxu, Mao, Jiafu, Chen, Haishan, Wang, Yaoping, Zhang, Yulong, Shi, Xiaoying, and Jin, Mingzhou. Mon . "Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis *". United Kingdom. https://doi.org/10.1088/1748-9326/acf728.
@article{osti_2000787,
title = {Exploring the environmental drivers of vegetation seasonality changes in the northern extratropical latitudes: a quantitative analysis *},
author = {Kong, Xiangxu and Mao, Jiafu and Chen, Haishan and Wang, Yaoping and Zhang, Yulong and Shi, Xiaoying and Jin, Mingzhou},
abstractNote = {Abstract Vegetation seasonality in the northern extratropical latitudes (NEL) has changed dramatically, but our understanding of how it responds to climate change (e.g. temperature, soil moisture, shortwave radiation) and human activities (e.g. elevated CO 2 concentration) remains insufficient. In this study, we used two remote-sensing-based leaf area index and factorial simulations from the TRENDY models to attribute the changes in the integrated vegetation seasonality index ( S ), which captures both the concentration and magnitude of vegetation growth throughout the year, to climate, CO 2 , and land use and land cover change (LULCC). We found that from 2003 to 2020, the enhanced average S in the NEL (MODIS: 0.0022 yr −1 , p < 0.05; GLOBMAP: 0.0018 yr −1 , p < 0.05; TRENDY S3 [i.e. the scenario considering both time-varying climate, CO 2 , and LULCC]: 0.0011 ± 7.5174 × 10 −4 yr −1 , p < 0.05) was primarily determined by the elevated CO 2 concentration (5.3 × 10 −4 ± 3.8 × 10 −4 yr −1 , p < 0.05) and secondly controlled by the combined climate change (4.6 × 10 −4 ± 6.6 × 10 −4 yr −1 , p > 0.1). Geographically, negative trends in the vegetation growth concentration were dominated by climate change (31.4%), while both climate change (47.9%) and CO 2 (31.9%) contributed to the enhanced magnitude of vegetation growth. Furthermore, around 60% of the study areas showed that simulated major climatic drivers of S variability exhibited the same dominant factor as observed in either the MODIS or GLOBMAP data. Our research emphasizes the crucial connection between environmental factors and vegetation seasonality, providing valuable insights for policymakers and land managers in developing sustainable ecosystem management strategies amidst a changing climate.},
doi = {10.1088/1748-9326/acf728},
journal = {Environmental Research Letters},
number = 9,
volume = 18,
place = {United Kingdom},
year = {Mon Sep 18 00:00:00 EDT 2023},
month = {Mon Sep 18 00:00:00 EDT 2023}
}

Journal Article:
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https://doi.org/10.1088/1748-9326/acf728

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