IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v292y2014icp1-10.html
   My bibliography  Save this article

Vegetation-specific model parameters are not required for estimating gross primary production

Author

Listed:
  • Yuan, Wenping
  • Cai, Wenwen
  • Liu, Shuguang
  • Dong, Wenjie
  • Chen, Jiquan
  • Arain, M. Altaf
  • Blanken, Peter D.
  • Cescatti, Alessandro
  • Wohlfahrt, Georg
  • Georgiadis, Teodoro
  • Genesio, Lorenzo
  • Gianelle, Damiano
  • Grelle, Achim
  • Kiely, Gerard
  • Knohl, Alexander
  • Liu, Dan
  • Marek, Michal V.
  • Merbold, Lutz
  • Montagnani, Leonardo
  • Panferov, Oleg
  • Peltoniemi, Mikko
  • Rambal, Serge
  • Raschi, Antonio
  • Varlagin, Andrej
  • Xia, Jiangzhou

Abstract

Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is independent of vegetation cover type and characteristics can be adopted in prevalent LUE models. Availability of this well tested and universal set of parameters would help to improve the accuracy and applicability of LUE models in various biomes and geographic regions.

Suggested Citation

  • Yuan, Wenping & Cai, Wenwen & Liu, Shuguang & Dong, Wenjie & Chen, Jiquan & Arain, M. Altaf & Blanken, Peter D. & Cescatti, Alessandro & Wohlfahrt, Georg & Georgiadis, Teodoro & Genesio, Lorenzo & Gia, 2014. "Vegetation-specific model parameters are not required for estimating gross primary production," Ecological Modelling, Elsevier, vol. 292(C), pages 1-10.
  • Handle: RePEc:eee:ecomod:v:292:y:2014:i:c:p:1-10
    DOI: 10.1016/j.ecolmodel.2014.08.017
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380014003962
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2014.08.017?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Yuan, Wenping & Liang, Shunlin & Liu, Shuguang & Weng, Ensheng & Luo, Yiqi & Hollinger, David & Zhang, Haicheng, 2012. "Improving model parameter estimation using coupling relationships between vegetation production and ecosystem respiration," Ecological Modelling, Elsevier, vol. 240(C), pages 29-40.
    2. Li, Xianglan & Liang, Shunlin & Yu, Guirui & Yuan, Wenping & Cheng, Xiao & Xia, Jiangzhou & Zhao, Tianbao & Feng, Jinming & Ma, Zhuguo & Ma, Mingguo & Liu, Shaomin & Chen, Jiquan & Shao, Changliang & , 2013. "Estimation of gross primary production over the terrestrial ecosystems in China," Ecological Modelling, Elsevier, vol. 261, pages 80-92.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sannigrahi, Srikanta, 2017. "Modeling terrestrial ecosystem productivity of an estuarine ecosystem in the Sundarban Biosphere Region, India using seven ecosystem models," Ecological Modelling, Elsevier, vol. 356(C), pages 73-90.

    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. Liu, Min & He, Honglin & Ren, Xiaoli & Sun, Xiaomin & Yu, Guirui & Han, Shijie & Wang, Huimin & Zhou, Guoyi, 2015. "The effects of constraining variables on parameter optimization in carbon and water flux modeling over different forest ecosystems," Ecological Modelling, Elsevier, vol. 303(C), pages 30-41.
    2. Xiaoshuai Wei & Mingze Xu & Hongxian Zhao & Xinyue Liu & Zifan Guo & Xinhao Li & Tianshan Zha, 2024. "Exploring Sensitivity of Phenology to Seasonal Climate Differences in Temperate Grasslands of China Based on Normalized Difference Vegetation Index," Land, MDPI, vol. 13(3), pages 1-19, March.
    3. Yan, Hao & Wang, Shao-qiang & Billesbach, Dave & Oechel, Walter & Bohrer, Gil & Meyers, Tilden & Martin, Timothy A. & Matamala, Roser & Phillips, Richard P. & Rahman, Faiz & Yu, Qin & Shugart, Herman , 2015. "Improved global simulations of gross primary product based on a new definition of water stress factor and a separate treatment of C3 and C4 plants," Ecological Modelling, Elsevier, vol. 297(C), pages 42-59.
    4. Klosterhalfen, A. & Herbst, M. & Weihermüller, L. & Graf, A. & Schmidt, M. & Stadler, A. & Schneider, K. & Subke, J.-A. & Huisman, J.A. & Vereecken, H., 2017. "Multi-site calibration and validation of a net ecosystem carbon exchange model for croplands," Ecological Modelling, Elsevier, vol. 363(C), pages 137-156.
    5. Li, Xiran & Zhu, Zaichun & Zeng, Hui & Piao, Shilong, 2016. "Estimation of gross primary production in China (1982–2010) with multiple ecosystem models," Ecological Modelling, Elsevier, vol. 324(C), pages 33-44.
    6. Shishi Liu & Wei Du & Hang Su & Shanqin Wang & Qingfeng Guan, 2018. "Quantifying Impacts of Land-Use/Cover Change on Urban Vegetation Gross Primary Production: A Case Study of Wuhan, China," Sustainability, MDPI, vol. 10(3), pages 1-18, March.
    7. Hanqing Ma & Chunfeng Ma & Xin Li & Wenping Yuan & Zhengjia Liu & Gaofeng Zhu, 2020. "Sensitivity and Uncertainty Analyses of Flux-based Ecosystem Model towards Improvement of Forest GPP Simulation," Sustainability, MDPI, vol. 12(7), pages 1-18, March.
    8. Cong Zhang & Xiaojun Yao & Lina Xiu & Huian Jin & Juan Cao, 2024. "Spatial and Temporal Dynamics of Ecological Parameters in Various Land Use Types in China during the First 20 Years of the 21st Century," Land, MDPI, vol. 13(5), pages 1-22, April.
    9. Li, Qianyu & Xia, Jianyang & Shi, Zheng & Huang, Kun & Du, Zhenggang & Lin, Guanghui & Luo, Yiqi, 2016. "Variation of parameters in a Flux-Based Ecosystem Model across 12 sites of terrestrial ecosystems in the conterminous USA," Ecological Modelling, Elsevier, vol. 336(C), pages 57-69.

    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:eee:ecomod:v:292:y:2014:i:c:p:1-10. 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: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/ecological-modelling .

    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.