Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia
(2024) In Science of the Total Environment 924.- Abstract
Australia, characterized by extensive and heterogeneous terrestrial ecosystems, plays a critical role in the global carbon cycle and in efforts to mitigate climate change. Prior research has quantified vegetation productivity and carbon balance within the Australian context over preceding decades. Nonetheless, the responses of vegetation and carbon dynamics to the evolving phenomena of climate change and escalating concentrations of atmospheric carbon dioxide remain ambiguous within the Australian landscape. Here, we used LPJ-GUESS model to assess the impacts of climate change on Gross Primary Productivity (GPP) and Net Biome Productivity (NBP) of carbon for the state of New South Wales (NSW) in southeastern Australia. LPJ-GUESS... (More)
Australia, characterized by extensive and heterogeneous terrestrial ecosystems, plays a critical role in the global carbon cycle and in efforts to mitigate climate change. Prior research has quantified vegetation productivity and carbon balance within the Australian context over preceding decades. Nonetheless, the responses of vegetation and carbon dynamics to the evolving phenomena of climate change and escalating concentrations of atmospheric carbon dioxide remain ambiguous within the Australian landscape. Here, we used LPJ-GUESS model to assess the impacts of climate change on Gross Primary Productivity (GPP) and Net Biome Productivity (NBP) of carbon for the state of New South Wales (NSW) in southeastern Australia. LPJ-GUESS simulations were driven by an ensemble of 27 global climate models under different emission scenarios. We investigated the change of GPP for different vegetation types and whether NSW ecosystems will be a net sink or source of carbon under climate change. We found that LPJ-GUESS successfully simulated GPP for the period 2003–2021, demonstrating a comparative performance with GPP derived from upscaled eddy covariance fluxes (R2 = 0.58, nRMSE = 14.2 %). The simulated NBP showed a larger interannual variation compared with flux data and other inversion products but could capture the timing of rainfall-driven carbon sink and source variations in 2015–2020. GPP would increase by 10.3–19.5 % under a medium emission scenario and 19.7–46.8 % under a high emission scenario. The mean probability of NSW acting as a carbon sink in the future showed a small decrease with a large uncertainty with >8 of the 27 climate models indicating an increased potential for carbon sink. These findings emphasize the significance of emission scenarios in shaping future carbon dynamics but also highlight considerable uncertainties stemming from different climate projections. Our study represents a baseline for understanding natural ecosystem dynamics and their key role in governing land carbon uptake and storage in Australia.
(Less)
- author
- Wang, Bin ; Smith, Benjamin LU ; Waters, Cathy ; Feng, Puyu and Liu, De Li
- organization
- publishing date
- 2024-05-10
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Climate change, Gross primary productivity, LPJ-GUESS model, Net biome productivity, Southeastern Australia
- in
- Science of the Total Environment
- volume
- 924
- article number
- 171748
- publisher
- Elsevier
- external identifiers
-
- pmid:38494011
- scopus:85188030757
- ISSN
- 0048-9697
- DOI
- 10.1016/j.scitotenv.2024.171748
- language
- English
- LU publication?
- yes
- id
- 9b3221df-c44d-4dc6-b01d-5647eb0d79fa
- date added to LUP
- 2024-04-04 11:08:51
- date last changed
- 2024-04-18 13:22:11
@article{9b3221df-c44d-4dc6-b01d-5647eb0d79fa,
abstract = {{<p>Australia, characterized by extensive and heterogeneous terrestrial ecosystems, plays a critical role in the global carbon cycle and in efforts to mitigate climate change. Prior research has quantified vegetation productivity and carbon balance within the Australian context over preceding decades. Nonetheless, the responses of vegetation and carbon dynamics to the evolving phenomena of climate change and escalating concentrations of atmospheric carbon dioxide remain ambiguous within the Australian landscape. Here, we used LPJ-GUESS model to assess the impacts of climate change on Gross Primary Productivity (GPP) and Net Biome Productivity (NBP) of carbon for the state of New South Wales (NSW) in southeastern Australia. LPJ-GUESS simulations were driven by an ensemble of 27 global climate models under different emission scenarios. We investigated the change of GPP for different vegetation types and whether NSW ecosystems will be a net sink or source of carbon under climate change. We found that LPJ-GUESS successfully simulated GPP for the period 2003–2021, demonstrating a comparative performance with GPP derived from upscaled eddy covariance fluxes (R<sup>2</sup> = 0.58, nRMSE = 14.2 %). The simulated NBP showed a larger interannual variation compared with flux data and other inversion products but could capture the timing of rainfall-driven carbon sink and source variations in 2015–2020. GPP would increase by 10.3–19.5 % under a medium emission scenario and 19.7–46.8 % under a high emission scenario. The mean probability of NSW acting as a carbon sink in the future showed a small decrease with a large uncertainty with >8 of the 27 climate models indicating an increased potential for carbon sink. These findings emphasize the significance of emission scenarios in shaping future carbon dynamics but also highlight considerable uncertainties stemming from different climate projections. Our study represents a baseline for understanding natural ecosystem dynamics and their key role in governing land carbon uptake and storage in Australia.</p>}},
author = {{Wang, Bin and Smith, Benjamin and Waters, Cathy and Feng, Puyu and Liu, De Li}},
issn = {{0048-9697}},
keywords = {{Climate change; Gross primary productivity; LPJ-GUESS model; Net biome productivity; Southeastern Australia}},
language = {{eng}},
month = {{05}},
publisher = {{Elsevier}},
series = {{Science of the Total Environment}},
title = {{Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia}},
url = {{http://dx.doi.org/10.1016/j.scitotenv.2024.171748}},
doi = {{10.1016/j.scitotenv.2024.171748}},
volume = {{924}},
year = {{2024}},
}