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Evolution of Global Terrestrial Gross Primary Productivity Trend

Wang, Zihao ; Peñuelas, Josep ; Tagesson, Torbern LU ; Smith, W. K. ; Wu, Mousong LU ; He, Wei ; Sitch, Stephen and Wang, Songhan (2024) In Ecosystem Health and Sustainability 10.
Abstract

Increased global vegetation gross primary productivity (GPP) over the past decades has led to an enhanced terrestrial carbon sink, an important factor in mitigating global warming. However, the global spatiotemporal evolution of GPP trends is still under debate, largely limiting our understanding of the sustainability in terrestrial carbon sink. Here in this study, based on a dozen of long-term global GPP datasets, we found that global GPP trends fell significantly from 0.43 PgC year−2 in 1982–1999 to 0.17 PgC year−2 in 2000–2016, a signal detected across >68% of the terrestrial surface. The decrease in GPP trends was more pronounced from satellite-based GPP datasets than from process-based models, which may... (More)

Increased global vegetation gross primary productivity (GPP) over the past decades has led to an enhanced terrestrial carbon sink, an important factor in mitigating global warming. However, the global spatiotemporal evolution of GPP trends is still under debate, largely limiting our understanding of the sustainability in terrestrial carbon sink. Here in this study, based on a dozen of long-term global GPP datasets, we found that global GPP trends fell significantly from 0.43 PgC year−2 in 1982–1999 to 0.17 PgC year−2 in 2000–2016, a signal detected across >68% of the terrestrial surface. The decrease in GPP trends was more pronounced from satellite-based GPP datasets than from process-based models, which may result from a decline in the CO2 fertilization effect. This finding therefore indicates that the terrestrial carbon sink may become saturated in the future, and highlights the urgent need of stricter strategies for reducing carbon emissions to mitigate global warming.

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author
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organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Ecosystem Health and Sustainability
volume
10
article number
0278
publisher
American Association for the Advancement of Science (AAAS)
external identifiers
  • scopus:85214498631
ISSN
2096-4129
DOI
10.34133/ehs.0278
language
English
LU publication?
yes
id
958bf816-f402-42f5-b30d-393d8a3ab02a
date added to LUP
2025-02-26 11:39:37
date last changed
2025-04-04 15:31:18
@article{958bf816-f402-42f5-b30d-393d8a3ab02a,
  abstract     = {{<p>Increased global vegetation gross primary productivity (GPP) over the past decades has led to an enhanced terrestrial carbon sink, an important factor in mitigating global warming. However, the global spatiotemporal evolution of GPP trends is still under debate, largely limiting our understanding of the sustainability in terrestrial carbon sink. Here in this study, based on a dozen of long-term global GPP datasets, we found that global GPP trends fell significantly from 0.43 PgC year<sup>−2</sup> in 1982–1999 to 0.17 PgC year<sup>−2</sup> in 2000–2016, a signal detected across &gt;68% of the terrestrial surface. The decrease in GPP trends was more pronounced from satellite-based GPP datasets than from process-based models, which may result from a decline in the CO<sub>2</sub> fertilization effect. This finding therefore indicates that the terrestrial carbon sink may become saturated in the future, and highlights the urgent need of stricter strategies for reducing carbon emissions to mitigate global warming.</p>}},
  author       = {{Wang, Zihao and Peñuelas, Josep and Tagesson, Torbern and Smith, W. K. and Wu, Mousong and He, Wei and Sitch, Stephen and Wang, Songhan}},
  issn         = {{2096-4129}},
  language     = {{eng}},
  publisher    = {{American Association for the Advancement of Science (AAAS)}},
  series       = {{Ecosystem Health and Sustainability}},
  title        = {{Evolution of Global Terrestrial Gross Primary Productivity Trend}},
  url          = {{http://dx.doi.org/10.34133/ehs.0278}},
  doi          = {{10.34133/ehs.0278}},
  volume       = {{10}},
  year         = {{2024}},
}