IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v411y2019ics0304380019303266.html
   My bibliography  Save this article

Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences

Author

Listed:
  • Markovic, Danijela
  • Walz, Ariane
  • Kärcher, Oskar

Abstract

Niche-based species distribution models (SDMs) play a central role in studying species response to environmental change. Effective management and conservation plans for freshwater ecosystems require SDMs that accommodate hierarchical catchment ordering and provide clarity on the performance of such models across multiple scales. The scale-dependence components considered here are: (a) environment spatial structure, represented by hierarchical catchment ordering following the Strahler system; (b) analysis grain, that included 1st to 5th order catchments; and (c) response grain, the grain at which species respond most, represented by local and upstream catchment area effects. We used fish occurrence data from the Danube River Basin and various factors representing climate, land cover and anthropogenic pressures. Our results indicate that the choice of response grain – local vs. upstream area effects – and the choice of analysis grain, only marginally influence the performance of SDMs. Upstream effects tend to better predict fish distributions than corresponding local effects for anthropogenic and land cover factors, in particular for species sensitive to pollution. Key predictors and their relative importance are scale and species dependent. Consequently, choosing proper species dependent spatial scales and factors is imperative for effective river rehabilitation measures.

Suggested Citation

  • Markovic, Danijela & Walz, Ariane & Kärcher, Oskar, 2019. "Scale effects on the performance of niche-based models of freshwater fish distributions: Local vs. upstream area influences," Ecological Modelling, Elsevier, vol. 411(C).
  • Handle: RePEc:eee:ecomod:v:411:y:2019:i:c:s0304380019303266
    DOI: 10.1016/j.ecolmodel.2019.108818
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380019303266
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2019.108818?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. Danijela Markovic & Jörg Freyhof & Christian Wolter, 2012. "Where Are All the Fish: Potential of Biogeographical Maps to Project Current and Future Distribution Patterns of Freshwater Species," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-15, July.
    2. Chapman, Deborah V. & Bradley, Chris & Gettel, Gretchen M. & Hatvani, István Gábor & Hein, Thomas & Kovács, József & Liska, Igor & Oliver, David M. & Tanos, Péter & Trásy, Balázs & Várbíró, Gábor, 2016. "Developments in water quality monitoring and management in large river catchments using the Danube River as an example," Environmental Science & Policy, Elsevier, vol. 64(C), pages 141-154.
    3. Domisch, Sami & Kuemmerlen, Mathias & Jähnig, Sonja C. & Haase, Peter, 2013. "Choice of study area and predictors affect habitat suitability projections, but not the performance of species distribution models of stream biota," Ecological Modelling, Elsevier, vol. 257(C), pages 1-10.
    4. 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.
    5. Kärcher, Oskar & Frank, Karin & Walz, Ariane & Markovic, Danijela, 2019. "Scale effects on the performance of niche-based models of freshwater fish distributions," Ecological Modelling, Elsevier, vol. 405(C), pages 33-42.
    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. Bennetsen, Elina & Gobeyn, Sacha & Goethals, Peter L.M., 2016. "Species distribution models grounded in ecological theory for decision support in river management," Ecological Modelling, Elsevier, vol. 325(C), pages 1-12.
    2. Kuemmerlen, Mathias & Schmalz, Britta & Guse, Björn & Cai, Qinghua & Fohrer, Nicola & Jähnig, Sonja C., 2014. "Integrating catchment properties in small scale species distribution models of stream macroinvertebrates," Ecological Modelling, Elsevier, vol. 277(C), pages 77-86.
    3. 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.
    4. 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.
    5. Iturbide, Maialen & Bedia, Joaquín & Herrera, Sixto & del Hierro, Oscar & Pinto, Miriam & Gutiérrez, Jose Manuel, 2015. "A framework for species distribution modelling with improved pseudo-absence generation," Ecological Modelling, Elsevier, vol. 312(C), pages 166-174.
    6. 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.
    7. 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.
    8. 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.
    9. 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.
    10. Zhiqiang Chen & Zhibiao Chen, 2018. "Effects of ecological restoration measures on the distribution of Dicranopteris dichotoma at the microscale in the red soil hilly region of China," PLOS ONE, Public Library of Science, vol. 13(10), pages 1-17, October.
    11. 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.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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).
    17. 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.
    18. 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.
    19. 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.
    20. 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.

    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:411:y:2019:i:c:s0304380019303266. 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.