A Dynamic Occupancy Model for Interacting Species with Two Spatial Scales

Eivind Flittie Kleiven (), Frédéric Barraquand, Olivier Gimenez, John-André Henden, Rolf Anker Ims, Eeva Marjatta Soininen and Nigel Gilles Yoccoz
Additional contact information
Eivind Flittie Kleiven: UiT - The Arctic University of Norway
Frédéric Barraquand: CNRS and University of Bordeaux
Olivier Gimenez: Université Montpellier, CNRS, EPHE, IRD
John-André Henden: Institute of Marine Research
Rolf Anker Ims: UiT - The Arctic University of Norway
Eeva Marjatta Soininen: UiT - The Arctic University of Norway
Nigel Gilles Yoccoz: UiT - The Arctic University of Norway

Journal of Agricultural, Biological and Environmental Statistics, 2023, vol. 28, issue 3, No 5, 466-482

Abstract: Abstract Occupancy models have been extended to account for either multiple spatial scales or species interactions in a dynamic setting. However, as interacting species (e.g., predators and prey) often operate at different spatial scales, including nested spatial structure might be especially relevant to models of interacting species. Here we bridge these two model frameworks by developing a multi-scale, two-species occupancy model. The model is dynamic, i.e. it estimates initial occupancy, colonization and extinction probabilities—including probabilities conditional to the other species’ presence. With a simulation study, we demonstrate that the model is able to estimate most parameters without marked bias under low, medium and high average occupancy probabilities, as well as low, medium and high detection probabilities, with only a small bias for some parameters in low-detection scenarios. We further evaluate the model’s ability to deal with sparse field data by applying it to a multi-scale camera trapping dataset on a mustelid-rodent predator–prey system. Most parameters are estimated with low uncertainty (i.e. narrow posterior distributions). More broadly, our model framework creates opportunities to explicitly account for the spatial structure found in many spatially nested study designs, and to study interacting species that have contrasting movement ranges with camera traps.Supplementary materials accompanying this paper appear online.

Keywords: Co-occurrence; Multi-scale; Occupancy; Predator–prey; Spatial; Species interactions (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s13253-023-00533-6 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:jagbes:v:28:y:2023:i:3:d:10.1007_s13253-023-00533-6

Ordering information: This journal article can be ordered from
http://www.springer.com/journal/13253

DOI: 10.1007/s13253-023-00533-6

Access Statistics for this article

Journal of Agricultural, Biological and Environmental Statistics is currently edited by Stephen Buckland

More articles in Journal of Agricultural, Biological and Environmental Statistics from Springer, The International Biometric Society, American Statistical Association
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().