Modelling the responses of carbon and water fluxes with climate change for a poplar plantation in northern China based on the Biome-BGC model

Manchun, 康满春 Kang; Liping, 朱丽平 Zhu; Xu, Hang; Tonggang, 查同刚 Zha; Zhiqiang, 张志强 Zhang

doi:10.5846/stxb201805291179

Acta Eco Sin

2019

DOI: 10.5846/stxb201805291179

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Modelling the responses of carbon and water fluxes with climate change for a poplar plantation in northern China based on the Biome-BGC model

康满春 Kang Manchun¹,

朱丽平 Zhu Liping²,

Hang Xu³

et al.

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“…黑沙蒿灌丛生态系统碳平衡对昼夜非对称增温的响应. 植物生态学报, 46Default values were fromWhite et al (2000), and Chinese parameter names and units were adapted fromKang et al (2019).…”

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Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

HAN¹,

Liu²,

MU³

et al. 2022

Chinese Journal of Plant Ecology

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AimsWe aimed to explore the response of net ecosystem productivity (NEP) and carbon use efficiency (CUE) to asymmetric daytime vs. nighttime warming in Artemisia ordosica shrublands, and to examine the sensitivity of carbon balance components to daytime vs. nighttime warming. MethodsThe BIOME-BGC model was parameterized and validated against eddy covariance measurements of ecosystem carbon fluxes, and used for simulating the impacts of different warming scenarios on NEP and CUE and their components, including gross primary productivity (GPP), net primary productivity (NPP), ecosystem respiration (Re), autotrophic respiration (AR), heterotrophic respiration (HR), maintenance respiration (MR), and growth respiration (GR). Two warming scenarios were simulated: (1) asymmetric warming according to the historical trends from 1954 to 2020 (i.e. daytime warming 1.2 °C, nighttime warming 1.8 °C); (2) daytime or nighttime warming separately with different temperature increase treatments (2, 4, 6 °C).

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Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

HAN¹,

Liu²,

MU³

et al. 2022

Chinese Journal of Plant Ecology

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Climate Change and Rising CO₂ Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China

Huang

Sun

et al. 2023

Earth's Future

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Optimizing land use/cover (LUC) decisions has been deemed the most efficient and low-cost way to mitigate climate change and realize carbon neutrality (Drever et al., 2021;Fargione Joseph et al., 2018;Griscom Bronson et al., 2017). Meanwhile, numerous studies have asserted that climate change and rising CO 2 (CCRC) have a considerable effect on vegetation growth and decomposition (Mitchard, 2018;Walker et al., 2021). These global change factors undoubtedly interact with land use/cover change (LUCC) and affect the carbon cycle. However, few studies have measured the amplifying/reducing effect of CCRC on LUCC-induced carbon sink/source changes.

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Modelling the responses of carbon and water fluxes with climate change for a poplar plantation in northern China based on the Biome-BGC model

Cited by 2 publications

References 0 publications

Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

Climate Change and Rising CO₂ Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China

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Modelling the responses of carbon and water fluxes with climate change for a poplar plantation in northern China based on the Biome-BGC model

Cited by 2 publications

References 0 publications

Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

Response of ecosystem carbon balance to asymmetric daytime vs nighttime warming in <i>Artemisia ordosica</i> shrublands

Climate Change and Rising CO2 Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China

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Product

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Climate Change and Rising CO₂ Amplify the Impact of Land Use/Cover Change on Carbon Budget Differentially Across China