IDEAS home Printed from https://ideas.repec.org/a/eee/ecomod/v356y2017icp91-103.html
   My bibliography  Save this article

A quantitative synthesis of the movement concepts used within species distribution modelling

Author

Listed:
  • Holloway, Paul
  • Miller, Jennifer A.

Abstract

Movement is a ubiquitous ecological process that influences the distribution of all species. In spite of this ecological significance, the incorporation of movement in species distribution models (SDMs) has lagged in comparison with other methodological and conceptual advancements. Many studies still ignore movement processes in applications inherently linked to movement (e.g. tracking changes in climate), and moreover, finer scale movements (e.g. foraging) have been neglected even more severely. We reviewed almost 600 research articles published in the last decade to identify important trends in the way that movement has been explicitly incorporated in SDM. We note that the conceptual differences associated with the ‘object’ whose movement is of interest, as well as subtler differences among taxon groups (e.g. plants v animals) and levels of organization (e.g. individuals, populations, species) that have significant implications for how movement processes occur, have hindered more substantial integration of these concepts. Finally, we highlight novel and unique methodological issues such as the use of successive telemetry data as response data in these correlative models. The gaps and trends identified in this review should foster future research in this burgeoning research area.

Suggested Citation

  • Holloway, Paul & Miller, Jennifer A., 2017. "A quantitative synthesis of the movement concepts used within species distribution modelling," Ecological Modelling, Elsevier, vol. 356(C), pages 91-103.
  • Handle: RePEc:eee:ecomod:v:356:y:2017:i:c:p:91-103
    DOI: 10.1016/j.ecolmodel.2017.04.005
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0304380016307517
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ecolmodel.2017.04.005?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. Barve, Narayani & Barve, Vijay & Jiménez-Valverde, Alberto & Lira-Noriega, Andrés & Maher, Sean P. & Peterson, A. Townsend & Soberón, Jorge & Villalobos, Fabricio, 2011. "The crucial role of the accessible area in ecological niche modeling and species distribution modeling," Ecological Modelling, Elsevier, vol. 222(11), pages 1810-1819.
    2. J. Alan Pounds, 2001. "Climate and amphibian declines," Nature, Nature, vol. 410(6829), pages 639-640, April.
    3. Saupe, E.E. & Barve, V. & Myers, C.E. & Soberón, J. & Barve, N. & Hensz, C.M. & Peterson, A.T. & Owens, H.L. & Lira-Noriega, A., 2012. "Variation in niche and distribution model performance: The need for a priori assessment of key causal factors," Ecological Modelling, Elsevier, vol. 237, pages 11-22.
    4. Meineri, Eric & Skarpaas, Olav & Vandvik, Vigdis, 2012. "Modeling alpine plant distributions at the landscape scale: Do biotic interactions matter?," Ecological Modelling, Elsevier, vol. 231(C), pages 1-10.
    5. Ross A. Alford & Kay S. Bradfield & Stephen J. Richards, 2007. "Global warming and amphibian losses," Nature, Nature, vol. 447(7144), pages 3-4, May.
    6. Leigh G Torres & Philip J H Sutton & David R Thompson & Karine Delord & Henri Weimerskirch & Paul M Sagar & Erica Sommer & Ben J Dilley & Peter G Ryan & Richard A Phillips, 2015. "Poor Transferability of Species Distribution Models for a Pelagic Predator, the Grey Petrel, Indicates Contrasting Habitat Preferences across Ocean Basins," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-18, March.
    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. Singer, Alexander & Schweiger, Oliver & Kühn, Ingolf & Johst, Karin, 2018. "Constructing a hybrid species distribution model from standard large-scale distribution data," Ecological Modelling, Elsevier, vol. 373(C), pages 39-52.
    2. Loehle, Craig, 2018. "Disequilibrium and relaxation times for species responses to climate change," Ecological Modelling, Elsevier, vol. 384(C), pages 23-29.
    3. Früh, Linus & Kampen, Helge & Kerkow, Antje & Schaub, Günter A. & Walther, Doreen & Wieland, Ralf, 2018. "Modelling the potential distribution of an invasive mosquito species: comparative evaluation of four machine learning methods and their combinations," Ecological Modelling, Elsevier, vol. 388(C), pages 136-144.
    4. Barber-O'Malley, Betsy & Lassalle, Géraldine & Chust, Guillem & Diaz, Estibaliz & O'Malley, Andrew & Paradinas Blázquez, César & Pórtoles Marquina, Javier & Lambert, Patrick, 2022. "HyDiaD: A hybrid species distribution model combining dispersal, multi-habitat suitability, and population dynamics for diadromous species under climate change scenarios," Ecological Modelling, Elsevier, vol. 470(C).
    5. Saurabh Shanu & Alok Agarwal, 2023. "A Computational Model for Determining Tiger Dispersal and Related Patterns in a Landscape Complex," Sustainability, MDPI, vol. 15(11), pages 1-18, May.

    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. Ochoa-Ochoa, Leticia M. & Flores-Villela, Oscar A. & Bezaury-Creel, Juan E., 2016. "Using one vs. many, sensitivity and uncertainty analyses of species distribution models with focus on conservation area networks," Ecological Modelling, Elsevier, vol. 320(C), pages 372-382.
    2. Herkt, K. Matthias B. & Barnikel, Günter & Skidmore, Andrew K. & Fahr, Jakob, 2016. "A high-resolution model of bat diversity and endemism for continental Africa," Ecological Modelling, Elsevier, vol. 320(C), pages 9-28.
    3. Jesús Aguirre-Gutiérrez & Luísa G Carvalheiro & Chiara Polce & E Emiel van Loon & Niels Raes & Menno Reemer & Jacobus C Biesmeijer, 2013. "Fit-for-Purpose: Species Distribution Model Performance Depends on Evaluation Criteria – Dutch Hoverflies as a Case Study," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.
    4. Owens, Hannah L. & Campbell, Lindsay P. & Dornak, L. Lynnette & Saupe, Erin E. & Barve, Narayani & Soberón, Jorge & Ingenloff, Kate & Lira-Noriega, Andrés & Hensz, Christopher M. & Myers, Corinne E. &, 2013. "Constraints on interpretation of ecological niche models by limited environmental ranges on calibration areas," Ecological Modelling, Elsevier, vol. 263(C), pages 10-18.
    5. Melo-Merino, Sara M. & Reyes-Bonilla, Héctor & Lira-Noriega, Andrés, 2020. "Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence," Ecological Modelling, Elsevier, vol. 415(C).
    6. Jiménez, L. & Soberón, J., 2022. "Estimating the fundamental niche: Accounting for the uneven availability of existing climates in the calibration area," Ecological Modelling, Elsevier, vol. 464(C).
    7. Chunrong Mi & Liang Ma & Mengyuan Yang & Xinhai Li & Shai Meiri & Uri Roll & Oleksandra Oskyrko & Daniel Pincheira-Donoso & Lilly P. Harvey & Daniel Jablonski & Barbod Safaei-Mahroo & Hanyeh Ghaffari , 2023. "Global Protected Areas as refuges for amphibians and reptiles under climate change," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    8. Alsamadisi, Adam G. & Tran, Liem T. & Papeş, Monica, 2020. "Employing inferences across scales: Integrating spatial data with different resolutions to enhance Maxent models," Ecological Modelling, Elsevier, vol. 415(C).
    9. Wolke Tobón-Niedfeldt & Alicia Mastretta-Yanes & Tania Urquiza-Haas & Bárbara Goettsch & Angela P. Cuervo-Robayo & Esmeralda Urquiza-Haas & M. Andrea Orjuela-R & Francisca Acevedo Gasman & Oswaldo Oli, 2022. "Incorporating evolutionary and threat processes into crop wild relatives conservation," Nature Communications, Nature, vol. 13(1), pages 1-18, December.
    10. Fourcade, Yoan, 2021. "Fine-tuning niche models matters in invasion ecology. A lesson from the land planarian Obama nungara," Ecological Modelling, Elsevier, vol. 457(C).
    11. Amaro, George & Fidelis, Elisangela Gomes & da Silva, Ricardo Siqueira & Marchioro, Cesar Augusto, 2023. "Effect of study area extent on the potential distribution of Species: A case study with models for Raoiella indica Hirst (Acari: Tenuipalpidae)," Ecological Modelling, Elsevier, vol. 483(C).
    12. Barker, Justin R. & MacIsaac, Hugh J., 2022. "Species distribution models: Administrative boundary centroid occurrences require careful interpretation," Ecological Modelling, Elsevier, vol. 472(C).
    13. Zeng, Yiwen & Low, Bi Wei & Yeo, Darren C.J., 2016. "Novel methods to select environmental variables in MaxEnt: A case study using invasive crayfish," Ecological Modelling, Elsevier, vol. 341(C), pages 5-13.
    14. Schartel, Tyler E. & Cao, Yong, 2024. "Background selection complexity influences Maxent predictive performance in freshwater systems," Ecological Modelling, Elsevier, vol. 488(C).
    15. Giannini, T.C. & Pinto, C.E. & Acosta, A.L. & Taniguchi, M. & Saraiva, A.M. & Alves-dos-Santos, I., 2013. "Interactions at large spatial scale: The case of Centris bees and floral oil producing plants in South America," Ecological Modelling, Elsevier, vol. 258(C), pages 74-81.
    16. Saupe, E.E. & Barve, V. & Myers, C.E. & Soberón, J. & Barve, N. & Hensz, C.M. & Peterson, A.T. & Owens, H.L. & Lira-Noriega, A., 2012. "Variation in niche and distribution model performance: The need for a priori assessment of key causal factors," Ecological Modelling, Elsevier, vol. 237, pages 11-22.
    17. Sillero, Neftalí & Arenas-Castro, Salvador & Enriquez‐Urzelai, Urtzi & Vale, Cândida Gomes & Sousa-Guedes, Diana & Martínez-Freiría, Fernando & Real, Raimundo & Barbosa, A.Márcia, 2021. "Want to model a species niche? A step-by-step guideline on correlative ecological niche modelling," Ecological Modelling, Elsevier, vol. 456(C).
    18. Valle, Mireia & Ramírez-Romero, Eduardo & Ibaibarriaga, Leire & Citores, Leire & Fernandes-Salvador, Jose A. & Chust, Guillem, 2024. "Pan-Atlantic 3D distribution model incorporating water column for commercial fish," Ecological Modelling, Elsevier, vol. 490(C).
    19. Carlos Yañez-Arenas & A. Townsend Peterson & Karla Rodríguez-Medina & Narayani Barve, 2016. "Mapping current and future potential snakebite risk in the new world," Climatic Change, Springer, vol. 134(4), pages 697-711, February.
    20. Diederik Strubbe & Laura Jiménez & A. Márcia Barbosa & Amy J. S. Davis & Luc Lens & Carsten Rahbek, 2023. "Mechanistic models project bird invasions with accuracy," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    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:356:y:2017:i:c:p:91-103. 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.