IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v290y2014icp134-145.html
   My bibliography  Save this article

LEAFC3-N photosynthesis, stomatal conductance, transpiration and energy balance model: Finite mesophyll conductance, drought stress, stomata ratio, optimized solution algorithms, and code

Author

Listed:
  • Müller, Johannes
  • Eschenröder, André
  • Christen, Olaf

Abstract

A new, upgraded version of the LEAFC3-N model of combined photosynthesis, stomatal conductance, transpiration, and leaf energy balance is presented. The paper focuses mainly on simulating the effects of drought stress on diurnal time courses of leaf gas exchange by considering a finite variable mesophyll conductance. Further recent improvements are: (1) a model function accounting for the effect of different stomata frequencies at each leaf side on leaf conductance, (2) an accompanying dynamic model of plant water transport and storage to account for drought stress, (3) advanced solution algorithms, (4) clearly structured and well documented program code, (5) a user interface and simulation tool, and (6) a detailed documentation. The current model version was successfully re-calibrated against data of the diurnal time courses of net photosynthesis rate, stomatal conductance, and transpiration rate measured on wheat and barley leaves in the field and proved to account correctly for the reduction of these characteristics during midday and afternoon hours (midday depression) based on introducing a finite mesophyll conductance. With the current development we intend to provide a platform facilitating application and further improvement of the model. Documentation and source code may be provided by email request to the first author.

Suggested Citation

  • Müller, Johannes & Eschenröder, André & Christen, Olaf, 2014. "LEAFC3-N photosynthesis, stomatal conductance, transpiration and energy balance model: Finite mesophyll conductance, drought stress, stomata ratio, optimized solution algorithms, and code," Ecological Modelling, Elsevier, vol. 290(C), pages 134-145.
  • Handle: RePEc:eee:ecomod:v:290:y:2014:i:c:p:134-145
    DOI: 10.1016/j.ecolmodel.2013.10.036
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380013005358
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2013.10.036?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. Braune, Henning & Müller, Johannes & Diepenbrock, Wulf, 2009. "Integrating effects of leaf nitrogen, age, rank, and growth temperature into the photosynthesis-stomatal conductance model LEAFC3-N parameterised for barley (Hordeum vulgare L.)," Ecological Modelling, Elsevier, vol. 220(13), pages 1599-1612.
    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. Liu, Xiaoyin & Xu, Junzeng & Liu, Boyi & Wang, Weiguang & Li, Yawei, 2019. "A novel model of water-heat coupling for water-saving irrigated rice fields based on water and energy balance: Model formulation and verification," Agricultural Water Management, Elsevier, vol. 223(C), pages 1-1.

    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. Zhang, Yanqun & Wang, Jiandong & Gong, Shihong & Xu, Di & Mo, Yan, 2019. "Straw mulching enhanced the photosynthetic capacity of field maize by increasing the leaf N use efficiency," Agricultural Water Management, Elsevier, vol. 218(C), pages 60-67.
    2. Cao, XiaoLei & Zhou, ZuHao & Chen, XiangDong & Shao, WeiWei & Wang, ZiRu, 2015. "Improving leaf area index simulation of IBIS model and its effect on water carbon and energy—A case study in Changbai Mountain broadleaved forest of China," Ecological Modelling, Elsevier, vol. 303(C), pages 97-104.
    3. Honglei Ren & Xueyang Wang & Fengyi Zhang & Kezhen Zhao & Xiulin Liu & Rongqiang Yuan & Changjun Zhou & Jidong Yu & Jidao Du & Bixian Zhang & Jiajun Wang, 2023. "Salicylic Acid and Pyraclostrobin Can Mitigate Salinity Stress and Improve Anti-Oxidative Enzyme Activities, Photosynthesis, and Soybean Production under Saline–Alkali Regions," Land, MDPI, vol. 12(7), pages 1-15, 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:eee:ecomod:v:290:y:2014:i:c:p:134-145. 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.