Convergence and divergence emerging in climatic controls of polynomial trends for northern ecosystem productivity over 2000–2018
(2023) In Science of the Total Environment- Abstract
- Southwest China has been the largest terrestrial carbon sink in China over the past 30 years, but has recently experienced a succession of droughts caused by high precipitation variability, potentially threatening vegetation productivity in the region. Yet, the impact of precipitation anomalies on the vegetation primary productivity is poorly known. We used an asymmetry index (AI) to explore possible asymmetric productivity responses to precipitation anomalies in Southwest China from 2003 to 2018, using a precipitation dataset, combined with gross primary productivity (GPP), net primary productivity (NPP), and vegetation optical depth (VOD) products. Our results indicate that the vegetation primary productivity of Southwest China shows a... (More)
- Southwest China has been the largest terrestrial carbon sink in China over the past 30 years, but has recently experienced a succession of droughts caused by high precipitation variability, potentially threatening vegetation productivity in the region. Yet, the impact of precipitation anomalies on the vegetation primary productivity is poorly known. We used an asymmetry index (AI) to explore possible asymmetric productivity responses to precipitation anomalies in Southwest China from 2003 to 2018, using a precipitation dataset, combined with gross primary productivity (GPP), net primary productivity (NPP), and vegetation optical depth (VOD) products. Our results indicate that the vegetation primary productivity of Southwest China shows a negative asymmetry, suggesting that the increase of vegetation primary productivity during wet years exceeds the decrease during dry years. However, this negative asymmetry of vegetation primary productivity was shifted towards a positive asymmetry during the period of analysis, suggesting that the resistance of vegetation to drought, has increased with the rise in the occurrence of drought events. Among the different biomes, grassland vegetation primary productivity had the highest sensitivity to precipitation anomalies, indicating that grasslands are more flexible than other biomes and able to adjust primary productivity in response to precipitation anomalies. Furthermore, our results showed that the asymmetry of vegetation primary productivity was influenced by the effects of temperature, precipitation, solar radiation, and anthropogenic and topographic factors. These findings improve our understanding of the response of vegetation primary productivity to climate change over Southwest China.
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- publishing date
- 2023
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- Contribution to journal
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- published
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- Science of the Total Environment
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- Elsevier
- external identifiers
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- scopus:85149724021
- pmid:36870485
- ISSN
- 1879-1026
- DOI
- 10.1016/j.scitotenv.2023.162425
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- English
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@article{e2da6d95-0213-4cc2-aaf3-f88c722e61b5, abstract = {{Southwest China has been the largest terrestrial carbon sink in China over the past 30 years, but has recently experienced a succession of droughts caused by high precipitation variability, potentially threatening vegetation productivity in the region. Yet, the impact of precipitation anomalies on the vegetation primary productivity is poorly known. We used an asymmetry index (AI) to explore possible asymmetric productivity responses to precipitation anomalies in Southwest China from 2003 to 2018, using a precipitation dataset, combined with gross primary productivity (GPP), net primary productivity (NPP), and vegetation optical depth (VOD) products. Our results indicate that the vegetation primary productivity of Southwest China shows a negative asymmetry, suggesting that the increase of vegetation primary productivity during wet years exceeds the decrease during dry years. However, this negative asymmetry of vegetation primary productivity was shifted towards a positive asymmetry during the period of analysis, suggesting that the resistance of vegetation to drought, has increased with the rise in the occurrence of drought events. Among the different biomes, grassland vegetation primary productivity had the highest sensitivity to precipitation anomalies, indicating that grasslands are more flexible than other biomes and able to adjust primary productivity in response to precipitation anomalies. Furthermore, our results showed that the asymmetry of vegetation primary productivity was influenced by the effects of temperature, precipitation, solar radiation, and anthropogenic and topographic factors. These findings improve our understanding of the response of vegetation primary productivity to climate change over Southwest China.<br/><br/>}}, author = {{Zhang, Wenxin and Jin, Hongxiao and Jamali, Sadegh and Duan, Zheng and Wu, Mousong and Ran, Youhua and Ardö, Jonas and Eklundh, Lars and Jönsson, Anna Maria and Sun, Huaiwei and Hu, Guojie and Wu, Xiaodong and Yun, Hanbo and Wu, Qingbai and Fu, Ziteng and Yu, Kailiang and Tian, Feng and Tagesson, Torbern and Li, Xing and Xiao, Jingfeng}}, issn = {{1879-1026}}, language = {{eng}}, publisher = {{Elsevier}}, series = {{Science of the Total Environment}}, title = {{Convergence and divergence emerging in climatic controls of polynomial trends for northern ecosystem productivity over 2000–2018}}, url = {{http://dx.doi.org/10.1016/j.scitotenv.2023.162425}}, doi = {{10.1016/j.scitotenv.2023.162425}}, year = {{2023}}, }