IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v214y2008i2p411-420.html
   My bibliography  Save this article

Integrated ecological assessment of biophysical wetland habitat in water catchments: Linking hydro-ecological modelling with geo-information techniques

Author

Listed:
  • Zhou, Demin
  • Gong, Huili
  • Liu, Zhaoli

Abstract

Wetland hydro-ecology is a key research field for ecologists, hydrologists and wetland investigators to quantify the relationship between wetland ecological patterns and hydrological mechanisms. Existence and functioning of wetlands is crucial for adjacent terrestrial and aquatic ecosystems. Hydro-ecological research promotes both protection and restoration of healthy natural wetlands by further understanding the biophysical characteristics of wetland habitats. This study establishes a wetland hydro-ecological model with the methodological support from geographic information system (GIS) and remote sensing (RS). It conceptualises a cause–effect chain interface from the real wetland ecosystem. GIS and computer modelling methods are used to generate the hydrological indicators based on a Digital Elevation Model (DEM). By interpreting multi-temporal RS images, we produce wetland classification information and various landscape indices. Both hydrological and landscape indicators are used to integrate the hydro-ecological analysis with some multidisciplinary analysis methods.

Suggested Citation

  • Zhou, Demin & Gong, Huili & Liu, Zhaoli, 2008. "Integrated ecological assessment of biophysical wetland habitat in water catchments: Linking hydro-ecological modelling with geo-information techniques," Ecological Modelling, Elsevier, vol. 214(2), pages 411-420.
    • Handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:411-420
    DOI: 10.1016/j.ecolmodel.2008.03.014
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380008001555
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.ecolmodel.2008.03.014?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. Kennen, Jonathan G. & Kauffman, Leon J. & Ayers, Mark A. & Wolock, David M. & Colarullo, Susan J., 2008. "Use of an integrated flow model to estimate ecologically relevant hydrologic characteristics at stream biomonitoring sites," Ecological Modelling, Elsevier, vol. 211(1), pages 57-76.
    2. 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)

    Citations

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


    Cited by:

    1. Martínez-López, Javier & Martínez-Fernández, Julia & Naimi, Babak & Carreño, María F. & Esteve, Miguel A., 2015. "An open-source spatio-dynamic wetland model of plant community responses to hydrological pressures," Ecological Modelling, Elsevier, vol. 306(C), pages 326-333.
    2. Kragt, Marit Ellen, 2013. "Integrating biophysical and economic systems in a Bayesian Network Hydro-economic framework," Working Papers 153334, University of Western Australia, School of Agricultural and Resource Economics.
    3. Cai, Y.P. & Huang, G.H. & Tan, Q. & Chen, B., 2011. "Identification of optimal strategies for improving eco-resilience to floods in ecologically vulnerable regions of a wetland," Ecological Modelling, Elsevier, vol. 222(2), pages 360-369.

    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. 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.
    7. 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).
    8. 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.
    9. 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.
    10. Sahragard, H.P. & Chahouki, M.A. Zare, 2015. "An evaluation of predictive habitat models performance of plant species in Hoze soltan rangelands of Qom province," Ecological Modelling, Elsevier, vol. 309, pages 64-71.
    11. Halvorsen, Rune & Mazzoni, Sabrina & Dirksen, John Wirkola & Næsset, Erik & Gobakken, Terje & Ohlson, Mikael, 2016. "How important are choice of model selection method and spatial autocorrelation of presence data for distribution modelling by MaxEnt?," Ecological Modelling, Elsevier, vol. 328(C), pages 108-118.
    12. Flores, O. & Rossi, V. & Mortier, F., 2009. "Autocorrelation offsets zero-inflation in models of tropical saplings density," Ecological Modelling, Elsevier, vol. 220(15), pages 1797-1809.
    13. Kragt, Marit Ellen & Bennett, Jeffrey W., 2009. "Integrating economic values and catchment modelling," 2009 Conference (53rd), February 11-13, 2009, Cairns, Australia 47956, Australian Agricultural and Resource Economics Society.
    14. Pliscoff, Patricio & Luebert, Federico & Hilger, Hartmut H. & Guisan, Antoine, 2014. "Effects of alternative sets of climatic predictors on species distribution models and associated estimates of extinction risk: A test with plants in an arid environment," Ecological Modelling, Elsevier, vol. 288(C), pages 166-177.
    15. Yvonne Milker & Manuel F G Weinkauf & Jürgen Titschack & Andre Freiwald & Stefan Krüger & Frans J Jorissen & Gerhard Schmiedl, 2017. "Testing the applicability of a benthic foraminiferal-based transfer function for the reconstruction of paleowater depth changes in Rhodes (Greece) during the early Pleistocene," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-30, November.
    16. Francesca Raffini & Giorgio Bertorelle & Roberto Biello & Guido D’Urso & Danilo Russo & Luciano Bosso, 2020. "From Nucleotides to Satellite Imagery: Approaches to Identify and Manage the Invasive Pathogen Xylella fastidiosa and Its Insect Vectors in Europe," Sustainability, MDPI, vol. 12(11), pages 1-38, June.
    17. Ballet, Jérôme & Bazin, Damien Jérôme Albert & Komena, Boniface K., 2020. "Unequal capabilities and natural resource management: The case of Côte d’Ivoire," World Development, Elsevier, vol. 134(C).
    18. Habeebullah Jayeola Oladipo & Yusuf Amuda Tajudeen & Iyiola Olatunji Oladunjoye & Sheriff Taye Mustapha & Yusuff Inaolaji Sodiq & Rashidat Onyinoyi Yusuf & Oluwaseyi Muyiwa Egbewande & Abdulbasit Opey, 2023. "Adopting a Statistical, Mechanistic, Integrated Surveillance, Thermal Biology, and Holistic (SMITH) Approach for Arbovirus Control in a Changing Climate: A Review of Evidence," Challenges, MDPI, vol. 14(1), pages 1-12, January.
    19. Kua Rittiboon & Phattrawan Tongkumchum, 2017. "Using linear regression to measure bird abundance," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 19(3), pages 1003-1013, June.
    20. Xuhui Zhang & Haiyan Wei & Zefang Zhao & Jing Liu & Quanzhong Zhang & Xiaoyan Zhang & Wei Gu, 2020. "The Global Potential Distribution of Invasive Plants: Anredera cordifolia under Climate Change and Human Activity Based on Random Forest Models," Sustainability, MDPI, vol. 12(4), pages 1-18, February.

    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:214:y:2008:i:2:p:411-420. 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.