Modelling changes in vegetation productivity and carbon balance under future climate scenarios in southeastern Australia

被引:2
|
作者
Wang, Bin [1 ,2 ]
Smith, Benjamin [3 ,4 ]
Waters, Cathy [5 ,6 ]
Feng, Puyu [7 ]
Li Liu, De [8 ]
机构
[1] Wagga Wagga Agr Inst, NSW Dept Primary Ind, Wagga Wagga, NSW 2650, Australia
[2] Charles Sturt Univ, Gulbali Inst Agr Water & Environm, Wagga Wagga, NSW 2678, Australia
[3] Western Sydney Univ, Hawkesbury Inst Environm, Richmond, NSW, Australia
[4] Lund Univ, Dept Phys Geog & Ecosyst Sci, S-22362 Lund, Sweden
[5] GreenCollar, Sydney, NSW 2000, Australia
[6] NSW Dept Land & Water Conservat, Dubbo, NSW 2830, Australia
[7] China Agr Univ, Coll Land Sci & Technol, Beijing 100193, Peoples R China
[8] Univ New South Wales, ARC Ctr Excellence Climate Extremes, Sydney, NSW 2052, Australia
关键词
Gross primary productivity; Net biome productivity; LPJ-GUESS model; Climate change; Southeastern Australia; GROSS PRIMARY PRODUCTION; INTERANNUAL VARIABILITY; SEMIARID ECOSYSTEMS; EDDY COVARIANCE; ATMOSPHERIC CO2; TERRESTRIAL; CYCLE; DYNAMICS; FOREST; PHOTOSYNTHESIS;
D O I
10.1016/j.scitotenv.2024.171748
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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-2 = 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.
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页数:13
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