Data and code to replicate "A dynamic occupancy model for interacting species with two spatial scales" ...
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 ana...
| Main Authors: | , , , , , , |
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| Format: | Dataset |
| Language: | unknown |
| Published: |
DataverseNO
2020
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| Subjects: | |
| Online Access: | https://dx.doi.org/10.18710/zlw59w https://dataverse.no/citation?persistentId=doi:10.18710/ZLW59W |
| Summary: | 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. Background: 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 ... |
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