IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i21p14068-d956306.html
   My bibliography  Save this article

Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem: A Case Study of Hainan Island, China

Author

Listed:
  • Junyi Liu

    (College of Ecology and Environment, Hainan University, Haikou 570228, China
    Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
    Hainan Danzhou Tropical Agro-Ecosystem National Observation and Research Station, Danzhou 571737, China)

  • Zhixiang Wu

    (College of Ecology and Environment, Hainan University, Haikou 570228, China
    Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
    Hainan Danzhou Tropical Agro-Ecosystem National Observation and Research Station, Danzhou 571737, China)

  • Siqi Yang

    (College of Ecology and Environment, Hainan University, Haikou 570228, China
    Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
    Hainan Danzhou Tropical Agro-Ecosystem National Observation and Research Station, Danzhou 571737, China)

  • Chuan Yang

    (Rubber Research Institute, Chinese Academy of Tropical Agricultural Sciences, Haikou 571101, China
    Hainan Danzhou Tropical Agro-Ecosystem National Observation and Research Station, Danzhou 571737, China)

Abstract

Accurate monitoring of forest carbon flux and its long-term response to meteorological factors is important. To accomplish this task, the model parameters need to be optimized with respect to in situ observations. In the present study, the extended Fourier amplitude sensitivity test (eFAST) method was used to optimize the sensitive ecophysiological parameters of the Biome BioGeochemical Cycles model. The model simulation was integrated from 2010 to 2020. The results showed that using the eFAST method quantitatively improved the model output. For instance, the R 2 increased from 0.53 to 0.72. Moreover, the root-mean-square error was reduced from 1.62 to 1.14 gC·m −2 ·d −1 . In addition, it was reported that the carbon flux outputs of the model were highly sensitive to various parameters, such as the canopy average specific leaf area and canopy light extinction coefficient. Moreover, long-term meteorological factor analysis showed that rainfall dominated the trend of gross primary production (GPP) of the study area, while extreme temperatures restricted the GPP. In conclusion, the eFAST method can be used in future studies. Furthermore, eFAST could be applied to other biomes in response to different climatic conditions.

Suggested Citation

  • Junyi Liu & Zhixiang Wu & Siqi Yang & Chuan Yang, 2022. "Sensitivity Analysis of Biome-BGC for Gross Primary Production of a Rubber Plantation Ecosystem: A Case Study of Hainan Island, China," IJERPH, MDPI, vol. 19(21), pages 1-13, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14068-:d:956306
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/21/14068/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/19/21/14068/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sun, Qingling & Li, Baolin & Zhang, Tao & Yuan, Yecheng & Gao, Xizhang & Ge, Jinsong & Li, Fei & Zhang, Zhijun, 2017. "An improved Biome-BGC model for estimating net primary productivity of alpine meadow on the Qinghai-Tibet Plateau," Ecological Modelling, Elsevier, vol. 350(C), pages 55-68.
    2. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 586(7831), pages 720-723, October.
    3. Raj, R. & Hamm, N.A.S. & van der Tol, C. & Stein, A., 2014. "Variance-based sensitivity analysis of BIOME-BGC for gross and net primary production," Ecological Modelling, Elsevier, vol. 292(C), pages 26-36.
    4. Jing Wang & Liang Feng & Paul I. Palmer & Yi Liu & Shuangxi Fang & Hartmut Bösch & Christopher W. O’Dell & Xiaoping Tang & Dongxu Yang & Lixin Liu & ChaoZong Xia, 2020. "Publisher Correction: Large Chinese land carbon sink estimated from atmospheric carbon dioxide data," Nature, Nature, vol. 588(7837), pages 19-19, December.
    5. Yu Zhang & Wei Li & Shaodan Li & Baoni Xie & Fangzhong Shi & Jianxia Zhao, 2022. "Spatial Distribution of Optimal Plant Cover and Its Influencing Factors for Populus simonii Carr. on the Bashang Plateau, China," Land, MDPI, vol. 11(6), pages 1-15, June.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Luyi Qiu & Kunying Niu & Wei He & Yaqi Hu, 2023. "Two Contribution Paths of Carbon Neutrality: Terrestrial Ecosystem Carbon Sinks and Anthropogenic Carbon Emission Reduction—A Case of Chongqing, China," Sustainability, MDPI, vol. 15(14), pages 1-17, July.
    2. Jie Huang & Zimin Sun & Pengshu Zhong, 2022. "The Spatial Disequilibrium and Dynamic Evolution of the Net Agriculture Carbon Effect in China," Sustainability, MDPI, vol. 14(21), pages 1-18, October.
    3. Shiliang Liu & Yuhong Dong & Hua Liu & Fangfang Wang & Lu Yu, 2023. "Review of Valuation of Forest Ecosystem Services and Realization Approaches in China," Land, MDPI, vol. 12(5), pages 1-16, May.
    4. Liu, Shilei & Xia, Jun, 2021. "Forest harvesting restriction and forest restoration in China," Forest Policy and Economics, Elsevier, vol. 129(C).
    5. Quanxu Hu & Jinhe Zhang & Huaju Xue & Jingwei Wang & Aiqing Li, 2024. "Spatiotemporal Variations in Carbon Sources and Sinks in National Park Ecosystem and the Impact of Tourism," Sustainability, MDPI, vol. 16(18), pages 1-23, September.
    6. Pan, Xunzhang & Ma, Xueqing & Zhang, Yanru & Shao, Tianming & Peng, Tianduo & Li, Xiang & Wang, Lining & Chen, Wenying, 2023. "Implications of carbon neutrality for power sector investments and stranded coal assets in China," Energy Economics, Elsevier, vol. 121(C).
    7. Bishan Wu, 2024. "Low-carbon development mechanism of energy industry from the perspective of carbon neutralization," Energy & Environment, , vol. 35(2), pages 628-643, March.
    8. Zhang, Hongji & Ding, Tao & Sun, Yuge & Huang, Yuhan & He, Yuankang & Huang, Can & Li, Fangxing & Xue, Chen & Sun, Xiaoqiang, 2023. "How does load-side re-electrification help carbon neutrality in energy systems: Cost competitiveness analysis and life-cycle deduction," Renewable and Sustainable Energy Reviews, Elsevier, vol. 187(C).
    9. Zhang, Qian & Cheng, Baodong & Diao, Gang & Tao, Chenlu & Wang, Can, 2023. "Does China's natural forest logging ban affect the stability of the timber import trade network?," Forest Policy and Economics, Elsevier, vol. 152(C).
    10. Wang, Lin & Zhao, Junsan & Lin, Yilin & Chen, Guoping, 2024. "Exploring ecological carbon sequestration advantage and economic responses in an ecological security pattern: A nature-based solutions perspective," Ecological Modelling, Elsevier, vol. 488(C).
    11. Zhencheng Xing & Yanyan Ma & Lan Luo & Haikun Wang, 2024. "Harmonizing economies and ecologies: Towards an equitable provincial carbon quota allocation for China’s peak emissions," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-10, December.
    12. Longhui Li & Yue Zhang & Tianjun Zhou & Kaicun Wang & Can Wang & Tao Wang & Linwang Yuan & Kangxin An & Chenghu Zhou & Guonian Lü, 2022. "Mitigation of China’s carbon neutrality to global warming," Nature Communications, Nature, vol. 13(1), pages 1-7, December.
    13. Jiang, Jiatong & Hu, Bin & Wang, R.Z. & Deng, Na & Cao, Feng & Wang, Chi-Chuan, 2022. "A review and perspective on industry high-temperature heat pumps," Renewable and Sustainable Energy Reviews, Elsevier, vol. 161(C).
    14. Mengcheng Li & Haimeng Liu & Shangkun Yu & Jianshi Wang & Yi Miao & Chengxin Wang, 2022. "Estimating the Decoupling between Net Carbon Emissions and Construction Land and Its Driving Factors: Evidence from Shandong Province, China," IJERPH, MDPI, vol. 19(15), pages 1-26, July.
    15. Hui Wen & Yi Li & Zirong Li & Xiaoxue Cai & Fengxia Wang, 2022. "Spatial Differentiation of Carbon Budgets and Carbon Balance Zoning in China Based on the Land Use Perspective," Sustainability, MDPI, vol. 14(20), pages 1-20, October.
    16. Shenghang Wang & Shen Tan & Jiaming Xu, 2023. "Evaluation and Implication of the Policies towards China’s Carbon Neutrality," Sustainability, MDPI, vol. 15(8), pages 1-15, April.
    17. Ogwu Stephen Obinozie & Eze Afamefuna A. & Uzoigwe Joshua C. & Orji Anthony & Maduka Anne Chinonye & Onwe Joshua Chukwuma, 2023. "Global Warming and Atmospheric Carbon: Is Carbon Sequestration a Myth or Reality?," Studia Universitatis „Vasile Goldis” Arad – Economics Series, Sciendo, vol. 33(1), pages 28-56, March.
    18. Dongwei Liu & Shanlong Li & Weixing Zhu & Yongyang Wang & Shasha Zhang & Yunting Fang, 2023. "Storage and Stability of Soil Organic Carbon in Two Temperate Forests in Northeastern China," Land, MDPI, vol. 12(5), pages 1-14, May.
    19. Shiguang Shen & Chengcheng Wu & Zhenyu Gai & Chenjing Fan, 2023. "Analysis of the Spatiotemporal Evolution of the Net Carbon Sink Efficiency and Its Influencing Factors at the City Level in Three Major Urban Agglomerations in China," IJERPH, MDPI, vol. 20(2), pages 1-18, January.
    20. Bing Wang & Xiang Niu & Tingyu Xu, 2023. "Identifying the Full Carbon Sink of Forest Vegetation: A Case Study in the Three Northeast Provinces of China," Sustainability, MDPI, vol. 15(13), pages 1-13, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14068-:d:956306. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.