IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v516y2026ics030438002600061x.html

Improvement and comparison of multi model methods for estimating carbon sequestration in global terrestrial ecosystems

Author

Listed:
  • Liang, Ailin
  • Zhao, Zifang

Abstract

The accurate estimation of net ecosystem productivity (NEP) is critical for assessing ecosystem carbon dynamics under climate change. This study combines FLUXNET observations with climate data and multi-source remote sensing products to optimize light use efficiency (LUE) models while exploring the potential of solar-induced chlorophyll fluorescence (SIF) in NEP estimation. Using data from 203 global sites across 10 land cover types, we established a hyperbolic relationship between SIF and gross primary productivity (GPP), demonstrating the superiority of this approach over traditional linear models. Notably, the hyperbolic model increased R2 values by 0.32 for evergreen broadleaf forests (EBF) (from 0.05 to 0.37) and 0.12 for evergreen needleleaf forests (ENF) (from 0.59 to 0.71), indicating improved characterization of photosynthetic dynamics.

Suggested Citation

  • Liang, Ailin & Zhao, Zifang, 2026. "Improvement and comparison of multi model methods for estimating carbon sequestration in global terrestrial ecosystems," Ecological Modelling, Elsevier, vol. 516(C).
    • Handle: RePEc:eee:ecomod:v:516:y:2026:i:c:s030438002600061x
    DOI: 10.1016/j.ecolmodel.2026.111532
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S030438002600061X
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2026.111532?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

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:516:y:2026:i:c:s030438002600061x. 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.

    We have no bibliographic references for this item. You can help adding them by using 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.