IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v210y2008i1p144-154.html
   My bibliography  Save this article

Modelling of heat and mass transfer inside a traditional oasis: Experimental validation

Author

Listed:
  • Sellami, Mohamed Habib
  • Sifaoui, Mohamed Salah

Abstract

The traditional oasis is considered as an ecosystem with a particular properties. It consists of growing several crops such date palms, fruit trees and market gardening simultaneously on the same field. Although the nature of transport in oasis canopies is not fully understood, it is still possible to develop mathematical models, which generate realistic canopy microclimates. Throughout this paper, simple electrical analogues (Ohm's law) and empirical formulas are used to describe Dawn-to-dusk evolution of sensible and latent heat flux and to quantify biomass production inside a traditional oasis in the south of Tunisia. Temperature in and above the canopy also humidity, wind velocity, net, global and photosynthetic active radiation and sap flow within the xylem of date palm and fruit trees are included in the mathematical treatment. Those parameters were measured at different heights and the thermal budget was deduced. For validating our model, we have compared latent heat flux, sensible heat flux and biomass production predicted to, respectively, sap flow data, thermal budget and photosynthetic active radiation measured inside the oasis. We can signal a good behaviour of our calculus. The values simulated can be ameliorated to fit better those measured and the model can be used in general circulation models that require estimates of energy fluxes at a large scale if we can sweep more space by mobile sensors and if we use more sophisticated method to determine the geometrical structure of the trees inside the oasis and their stomata resistances.

Suggested Citation

  • Sellami, Mohamed Habib & Sifaoui, Mohamed Salah, 2008. "Modelling of heat and mass transfer inside a traditional oasis: Experimental validation," Ecological Modelling, Elsevier, vol. 210(1), pages 144-154.
  • Handle: RePEc:eee:ecomod:v:210:y:2008:i:1:p:144-154
    DOI: 10.1016/j.ecolmodel.2007.07.032
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380007003699
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2007.07.032?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. Sellami, Mohamed Habib & Sifaoui, Mohamed Salah, 2003. "Estimating transpiration in an intercropping system: measuring sap flow inside the oasis," Agricultural Water Management, Elsevier, vol. 59(3), pages 191-204, April.
    2. Sellami, Mohamed Habib & Sifaoui, Mohamed Salah, 1998. "Measurements of microclimatic factors inside the oasis: interception and sharing of solar radiation," Renewable Energy, Elsevier, vol. 13(1), pages 67-76.
    3. Austin, Mike, 2007. "Species distribution models and ecological theory: A critical assessment and some possible new approaches," Ecological Modelling, Elsevier, vol. 200(1), pages 1-19.
    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. Václavík, Tomáš & Meentemeyer, Ross K., 2009. "Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions?," Ecological Modelling, Elsevier, vol. 220(23), pages 3248-3258.
    2. Muñoz-Mas, Rafael & Vezza, Paolo & Alcaraz-Hernández, Juan Diego & Martínez-Capel, Francisco, 2016. "Risk of invasion predicted with support vector machines: A case study on northern pike (Esox Lucius, L.) and bleak (Alburnus alburnus, L.)," Ecological Modelling, Elsevier, vol. 342(C), pages 123-134.
    3. Meineri, Eric & Dahlberg, C. Johan & Hylander, Kristoffer, 2015. "Using Gaussian Bayesian Networks to disentangle direct and indirect associations between landscape physiography, environmental variables and species distribution," Ecological Modelling, Elsevier, vol. 313(C), pages 127-136.
    4. Marmion, Mathieu & Luoto, Miska & Heikkinen, Risto K. & Thuiller, Wilfried, 2009. "The performance of state-of-the-art modelling techniques depends on geographical distribution of species," Ecological Modelling, Elsevier, vol. 220(24), pages 3512-3520.
    5. Kaiping Wang & Weiqi Wang & Niyi Zha & Yue Feng & Chenlan Qiu & Yunlu Zhang & Jia Ma & Rui Zhang, 2022. "Spatially Heterogeneity Response of Critical Ecosystem Service Capacity to Address Regional Development Risks to Rapid Urbanization: The Case of Beijing-Tianjin-Hebei Urban Agglomeration in China," Sustainability, MDPI, vol. 14(12), pages 1-21, June.
    6. Di Traglia, Mario & Attorre, Fabio & Francesconi, Fabio & Valenti, Roberto & Vitale, Marcello, 2011. "Is cellular automata algorithm able to predict the future dynamical shifts of tree species in Italy under climate change scenarios? A methodological approach," Ecological Modelling, Elsevier, vol. 222(4), pages 925-934.
    7. Mouton, Ans M. & De Baets, Bernard & Goethals, Peter L.M., 2010. "Ecological relevance of performance criteria for species distribution models," Ecological Modelling, Elsevier, vol. 221(16), pages 1995-2002.
    8. Aertsen, Wim & Kint, Vincent & van Orshoven, Jos & Özkan, Kürşad & Muys, Bart, 2010. "Comparison and ranking of different modelling techniques for prediction of site index in Mediterranean mountain forests," Ecological Modelling, Elsevier, vol. 221(8), pages 1119-1130.
    9. Lyndsie S Wszola & Victoria L Simonsen & Erica F Stuber & Caitlyn R Gillespie & Lindsey N Messinger & Karie L Decker & Jeffrey J Lusk & Christopher F Jorgensen & Andrew A Bishop & Joseph J Fontaine, 2017. "Translating statistical species-habitat models to interactive decision support tools," PLOS ONE, Public Library of Science, vol. 12(12), pages 1-13, December.
    10. Basille, Mathieu & Calenge, Clément & Marboutin, Éric & Andersen, Reidar & Gaillard, Jean-Michel, 2008. "Assessing habitat selection using multivariate statistics: Some refinements of the ecological-niche factor analysis," Ecological Modelling, Elsevier, vol. 211(1), pages 233-240.
    11. Rufino, Marta M. & Albouy, Camille & Brind'Amour, Anik, 2021. "Which spatial interpolators I should use? A case study applying to marine species," Ecological Modelling, Elsevier, vol. 449(C).
    12. Mouton, Ans M. & De Baets, Bernard & Van Broekhoven, Ester & Goethals, Peter L.M., 2009. "Prevalence-adjusted optimisation of fuzzy models for species distribution," Ecological Modelling, Elsevier, vol. 220(15), pages 1776-1786.
    13. Stoklosa, Jakub & Huang, Yih-Huei & Furlan, Elise & Hwang, Wen-Han, 2016. "On quadratic logistic regression models when predictor variables are subject to measurement error," Computational Statistics & Data Analysis, Elsevier, vol. 95(C), pages 109-121.
    14. Suárez-Seoane, Susana & García de la Morena, Eladio L. & Morales Prieto, Manuel B. & Osborne, Patrick E. & de Juana, Eduardo, 2008. "Maximum entropy niche-based modelling of seasonal changes in little bustard (Tetrax tetrax) distribution," Ecological Modelling, Elsevier, vol. 219(1), pages 17-29.
    15. Hopkins, Robert L. & Burr, Brooks M., 2009. "Modeling freshwater fish distributions using multiscale landscape data: A case study of six narrow range endemics," Ecological Modelling, Elsevier, vol. 220(17), pages 2024-2034.
    16. Marlet, Serge & Bouksila, Fethi & Bahri, Akissa, 2009. "Water and salt balance at irrigation scheme scale: A comprehensive approach for salinity assessment in a Saharan oasis," Agricultural Water Management, Elsevier, vol. 96(9), pages 1311-1322, September.
    17. Pie, Marcio R. & Meyer, Andreas L.S. & Firkowski, Carina R. & Ribeiro, Luiz F. & Bornschein, Marcos R., 2013. "Understanding the mechanisms underlying the distribution of microendemic montane frogs (Brachycephalus spp., Terrarana: Brachycephalidae) in the Brazilian Atlantic Rainforest," Ecological Modelling, Elsevier, vol. 250(C), pages 165-176.
    18. Moreno-Amat, Elena & Mateo, Rubén G. & Nieto-Lugilde, Diego & Morueta-Holme, Naia & Svenning, Jens-Christian & García-Amorena, Ignacio, 2015. "Impact of model complexity on cross-temporal transferability in Maxent species distribution models: An assessment using paleobotanical data," Ecological Modelling, Elsevier, vol. 312(C), pages 308-317.
    19. Yang, Xue-Qing & Kodikara, Gayantha R.L. & Luedeling, Eike & Yang, Xue-Fei & He, Jun & Liu, Pei-gui & Xu, Jian-Chu, 2012. "Looking below the ground: Prediction of Tuber indicum habitat using the Weights of Evidence method," Ecological Modelling, Elsevier, vol. 247(C), pages 27-39.
    20. Rabin Chakrabortty & Subodh Chandra Pal & Mehebub Sahana & Ayan Mondal & Jie Dou & Binh Thai Pham & Ali P. Yunus, 2020. "Soil erosion potential hotspot zone identification using machine learning and statistical approaches in eastern India," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(2), pages 1259-1294, November.

    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:210:y:2008:i:1:p:144-154. 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.