IDEAS home Printed from https://ideas.repec.org/a/eee/rensus/v68y2017ip1p748-762.html
   My bibliography  Save this article

Evaluating the ecological influence of hydraulic projects: A review of aquatic habitat suitability models

Author

Listed:
  • Yi, Yujun
  • Cheng, Xi
  • Yang, Zhifeng
  • Wieprecht, Silke
  • Zhang, Shanghong
  • Wu, Yingjie

Abstract

In order to evaluate the ecological influence of hydraulic projects, aquatic habitat suitability modeling was proposed. Compared with other environmental flow methods, this method, for the first time, integrated considering hydrology parameters and ecology attributes, quantitatively describing the relationships between species and habitat. Aquatic habitat suitability models began with one-dimensional physical habitat simulation model (PHABSIM) at micro-scale physical habitat. Afterwards, habitat suitability models for meso- and macro-scale were developed; eco-factors indicating physical habitat and water quality situation were included; two- and three-dimensional model were employed to provide the situation of eco-factors. Based on field survey or mathematical models, the state of habitat eco-factors can be obtained. By establishing habitat suitability evaluation criteria, the impact of aquatic habitats on the particular life stage of indicate species can be assessed, the effect of reservoir regulation mode and habitat restoration projections can be predicted. Here, we summarized aquatic habitat suitability models in different spatial scale, and the advantages and disadvantages of each model were analyzed and concluded.

Suggested Citation

  • Yi, Yujun & Cheng, Xi & Yang, Zhifeng & Wieprecht, Silke & Zhang, Shanghong & Wu, Yingjie, 2017. "Evaluating the ecological influence of hydraulic projects: A review of aquatic habitat suitability models," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 748-762.
    • Handle: RePEc:eee:rensus:v:68:y:2017:i:p1:p:748-762
    DOI: 10.1016/j.rser.2016.09.138
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S1364032116306475
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.rser.2016.09.138?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. 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.
    2. Yi, Yujun & Wang, Zhaoyin & Yang, Zhifeng, 2010. "Two-dimensional habitat modeling of Chinese sturgeon spawning sites," Ecological Modelling, Elsevier, vol. 221(5), pages 864-875.
    3. Mouton, Ans M. & Schneider, Matthias & Peter, Armin & Holzer, Georg & Müller, Rudolf & Goethals, Peter L.M. & De Pauw, Niels, 2008. "Optimisation of a fuzzy physical habitat model for spawning European grayling (Thymallus thymallus L.) in the Aare river (Thun, Switzerland)," Ecological Modelling, Elsevier, vol. 215(1), pages 122-132.
    4. Fukuda, Shinji, 2009. "Consideration of fuzziness: Is it necessary in modelling fish habitat preference of Japanese medaka (Oryzias latipes)?," Ecological Modelling, Elsevier, vol. 220(21), pages 2877-2884.
    5. Fang, Yiping & Wang, Mingjie & Deng, Wei & Xu, Keyan, 2010. "Exploitation scale of hydropower based on instream flow requirements: A case from southwest China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 14(8), pages 2290-2297, October.
    6. Nukazawa, Kei & Shiraiwa, Jun-ichi & Kazama, So, 2011. "Evaluations of seasonal habitat variations of freshwater fishes, fireflies, and frogs using a habitat suitability index model that includes river water temperature," Ecological Modelling, Elsevier, vol. 222(20), pages 3718-3726.
    7. Jean-François Guégan & Sovan Lek & Thierry Oberdorff, 1998. "Energy availability and habitat heterogeneity predict global riverine fish diversity," Nature, Nature, vol. 391(6665), pages 382-384, January.
    8. Mocq, J. & St-Hilaire, A. & Cunjak, R.A., 2013. "Assessment of Atlantic salmon (Salmo salar) habitat quality and its uncertainty using a multiple-expert fuzzy model applied to the Romaine River (Canada)," Ecological Modelling, Elsevier, vol. 265(C), pages 14-25.
    9. Fukuda, Shinji & Hiramatsu, Kazuaki, 2008. "Prediction ability and sensitivity of artificial intelligence-based habitat preference models for predicting spatial distribution of Japanese medaka (Oryzias latipes)," Ecological Modelling, Elsevier, vol. 215(4), pages 301-313.
    10. 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. Yue Wang & Jihong Xia & Wangwei Cai & Zewen Liu & Jingjiang Li & Jingyun Yin & Jiayi Zu & Chuanbin Dou, 2023. "Response of Fish Habitat Quality to Weir Distribution Change in Mountainous River Based on the Two-Dimensional Habitat Suitability Model," Sustainability, MDPI, vol. 15(11), pages 1-17, May.
    2. Yao, Weiwei, 2021. "Ecohydraulic tools for aquatic fauna habitat and population status assessment, analysis and monitoring aimed at promoting integrated river management," Ecological Modelling, Elsevier, vol. 456(C).
    3. Wei Xu, 2020. "Study on Multi-Objective Operation Strategy for Multi-Reservoirs in Small-Scale Watershed Considering Ecological Flows," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 34(15), pages 4725-4738, December.
    4. Boudreault, Jeremie & Bergeron, Normand E & St-Hilaire, Andre & Chebana, Fateh, 2022. "A new look at habitat suitability curves through functional data analysis," Ecological Modelling, Elsevier, vol. 467(C).

    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. Fukuda, Shinji & De Baets, Bernard & Mouton, Ans M. & Waegeman, Willem & Nakajima, Jun & Mukai, Takahiko & Hiramatsu, Kazuaki & Onikura, Norio, 2011. "Effect of model formulation on the optimization of a genetic Takagi–Sugeno fuzzy system for fish habitat suitability evaluation," Ecological Modelling, Elsevier, vol. 222(8), pages 1401-1413.
    2. Gobeyn, Sacha & Mouton, Ans M. & Cord, Anna F. & Kaim, Andrea & Volk, Martin & Goethals, Peter L.M., 2019. "Evolutionary algorithms for species distribution modelling: A review in the context of machine learning," Ecological Modelling, Elsevier, vol. 392(C), pages 179-195.
    3. 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.
    4. Mocq, J. & St-Hilaire, A. & Cunjak, R.A., 2013. "Assessment of Atlantic salmon (Salmo salar) habitat quality and its uncertainty using a multiple-expert fuzzy model applied to the Romaine River (Canada)," Ecological Modelling, Elsevier, vol. 265(C), pages 14-25.
    5. 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.
    6. Mouton, A.M. & Dillen, A. & Van den Neucker, T. & Buysse, D. & Stevens, M. & Coeck, J., 2012. "Impact of sampling efficiency on the performance of data-driven fish habitat models," Ecological Modelling, Elsevier, vol. 245(C), pages 94-102.
    7. Yi, Yujun & Wang, Zhaoyin & Yang, Zhifeng, 2010. "Two-dimensional habitat modeling of Chinese sturgeon spawning sites," Ecological Modelling, Elsevier, vol. 221(5), pages 864-875.
    8. Muñoz-Mas, Rafael & Marcos-Garcia, Patricia & Lopez-Nicolas, Antonio & Martínez-García, Francisco J. & Pulido-Velazquez, Manuel & Martínez-Capel, Francisco, 2018. "Combining literature-based and data-driven fuzzy models to predict brown trout (Salmo trutta L.) spawning habitat degradation induced by climate change," Ecological Modelling, Elsevier, vol. 386(C), pages 98-114.
    9. Fukuda, Shinji, 2009. "Consideration of fuzziness: Is it necessary in modelling fish habitat preference of Japanese medaka (Oryzias latipes)?," Ecological Modelling, Elsevier, vol. 220(21), pages 2877-2884.
    10. Dubos, Véronique & St-Hilaire, André & Bergeron, Normand E., 2023. "Fuzzy logic modelling of anadromous Arctic char spawning habitat from Nunavik Inuit knowledge," Ecological Modelling, Elsevier, vol. 477(C).
    11. Guohuan Su & Adam Mertel & Sébastien Brosse & Justin M. Calabrese, 2023. "Species invasiveness and community invasibility of North American freshwater fish fauna revealed via trait-based analysis," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
    12. 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.
    13. 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.
    14. 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.
    15. Hughes, Conchúr & King, Jonathan W., 2023. "Habitat suitability modelling for an integrated multi-trophic aquaculture (IMTA) system along Europe's Atlantic coast," Ecological Modelling, Elsevier, vol. 484(C).
    16. 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.
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:rensus:v:68:y:2017:i:p1:p:748-762. 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.elsevier.com/wps/find/journaldescription.cws_home/600126/description#description .

    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.