10.18710/ZLW59WKleiven, Eivind FlittieEivind FlittieKleiven0000-0002-9556-0195UiT The Arctic University of NorwayBarraquand, FredericFredericBarraquand0000-0002-4759-0269CNRS, Institute of Mathematics of Bordeaux, Talence, France and Integrative and Theoretical Ecology, LabEx COTE, University of Bordeaux, Pessac, FranceGimenez, OlivierOlivierGimenez0000-0001-7001-5142CEFE, Université Montpellier, CNRS, EPHE, IRD, Universite Paul Valéry Montpellier 3, Montpellier, FranceHenden, John-AndréJohn-AndréHenden0000-0002-8825-1167UiT The Arctic University of NorwayIms, Rolf AnkerRolf AnkerIms0000-0002-3687-9753UiT The Arctic University of NorwaySoininen, Eeva M.Eeva M.Soininen0000-0003-4280-8350UiT The Arctic University of NorwayYoccoz, Nigel GillesNigel GillesYoccoz0000-0003-2192-1039UiT The Arctic University of NorwayData and code to replicate "A dynamic occupancy model for interacting species with two spatial scales"DataverseNO2020Earth and Environmental SciencesEcologyStatistical modellingSpatial OccupancyKleiven, Eivind FlittieEivind FlittieKleivenUiT The Arctic University of NorwayUiT The Arctic University of NorwayBöhner, HannaHannaBöhnerUiT The Arctic University of NorwayUiT The Arctic University of Norway2020-12-152023-09-282015-09-01/2020-06-01Survey data602487448554835784148418840234167341573416111839785629265298729973048296229382951174922137540320492113text/plaintype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxtype/x-r-syntaxapplication/x-rlang-transportapplication/x-rlang-transportapplication/x-rlang-transport4.1CC0 1.0<p>In this dataset you will find code and data to run a dynamic occupancy model for interaction species with two spatial scales. There is code and data to conduct a simulation study to investigate bias in any of the estimated parameters under different data scenarios. Also there is data and code to analyze a case study. This is real world data from an long term monitoring program, COAT(www.coat.no), of small mammals on the arctic tundra. All codes are run in R version 4.0.3.</p> <p>Background:</p> <p>Occupancy models have been developed independently to account for multiple spatial scales and 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 in 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 parameters without bias under low, medium and high average occupancy probabilities, as well as low, medium and high detection probabilities. We further show 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. The field study illustrates that the model allows estimation of species interaction effects on colonization and extinction probabilities at two spatial scales. This creates opportunities to explicitly account for the spatial structure found in many spatially nested study designs, and to study interacting species that have contrasted movement ranges with camera traps.</p>R, 4.0.3The Research Council of Norway245638Tromsø Research Foundation