Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens

# Intraguild interactions and abiotic conditions mediate occupancy of mammalian carnivores: co-occurrence of coyotes-fishers-martens [https://doi.org/10.5061/dryad.pc866t1rz](https://doi.org/10.5061/dryad.pc866t1rz) The data stems from a large-scale camera trapping project conducted for 3-weeks annually at approximately 195 sites over 3 years in the Adirondacks and Tug Hill region of New York State, USA. The target species were fisher, marten, and coyote. Camera traps were secured to trees approximately 1.0-1.5 m above ground. A bait station was placed on a tree opposite the camera trap and secured to the tree using wire mesh. The bait used varied and included beaver, moose, white-tailed deer, muskrat, raccoon, cow, and chicken. ## Description of the data and file structure ## The data folder This folder has ten files. **1. 7dayoccDetectionscoyoteNZ.csv** This file contains detection/non-detection data for coyotes between the years of 2016-2018 in New York state. 0 is not detected, and 1 is detected. Each row is a site, each column is a weekly occasion, and each cell is a detection/non-detection record. **2. 7dayoccDetectionsfisherNZ** This file contains detection/non-detection data for fishers between the years of 2016-2018 in New York state. 0 is not detected, and 1 is detected. Each row is a site, each column is a weekly occasion, and each cell is a detection/non-detection record. **3. 7dayoccDetectionsmartenNZ** This file contains detection/non-detection data for American marten between the years of 2016-2018 in New York state. 0 is not detected, and 1 is detected. Each row is a site, each column is a weekly occasion, and each cell is a detection/non-detection record. **4. NZ.3yrcamsite.6km.buffer.alllandscapecovariates.csv** This file contains all of the summarized spatial covariate data at a 6km scale used in the analysis. Each row is a different 6km 2 pixel in New York State, each column is a covariate, and each cell is a value. The acronyms used in this dataset are WSI = Winter Severity Index, ADK = Adirondacks, TH = Tug Hill, FID = Field ID, and NZ = Northern Zone). The landscape covariates used in the analysis are: | **Column name / covariate** | **Description** | **Source** | | :-------------------------- | :------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Deciduous | Proportion of a 6 km2 buffer around the detector made up of deciduous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Coniferous | Proportion of a 6 km2 buffer around the detector made up of coniferous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Mixed | Proportion of a 6 km2 buffer around the detector made up of mixed forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Pasture | Proportion of a 6 km2 buffer around the detector made up of pasture | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Cultivated.Crops | Proportion of a 6 km2 buffer around the detector made up of cultivated crops | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | RoadDen | Mean number of km of road per km2 in each 6 km2 buffer | calculated from primary and secondary roads raster provided by the NYSDEC, hosted on GitHub | | snowdepth | Mean daily snow depth(m) of the 6 km2 buffer around each detector across the sampling period | National Operational Hydrologic Remote Sensing Centre, 2004. Snow data assimilation system (SNODAS) products ([https://doi.org/10.7265/N5TB14TC](https://doi.org/10.7265/N5TB14TC)). | | forest.edge | Edge density of combined class of all forest in each 6 km2 buffer around detectors | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | min\_temp | The mean daily minimum temperature over the sampling period at each detector (degree C). | PRISM Climate data, Oregon State University ([http://prism.oregonstate.edu](http://prism.oregonstate.edu)). | | GPP | The amount of carbon captured by plants (kg C MJ-1) in at the detectors | MODIS Land Satellite, 2017 ([https://lpdaac.usgs.gov/products/mod17a2hv006/](https://lpdaac.usgs.gov/products/mod17a2hv006/)) | **5. NZ.3yrcamsite.20km.buffer.alllandscapecovariates.csv** This file contains all of the summarized spatial covariate data at a 20km scale used in the analysis. Each row is a different 20km 2 pixel in New York State, each column is a covariate, and each cell is a value. The acronyms used in this dataset are WSI = Winter Severity Index, ADK = Adirondacks, TH = Tug Hill, FID = Field ID, and NZ = Northern Zone). The landscape covariates used in the analysis are: | **Column name / covariate** | **Description** | **Source** | | :-------------------------- | :-------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Deciduous | Proportion of a 20 km2 buffer around the detector made up of deciduous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Coniferous | Proportion of a 20 km2 buffer around the detector made up of coniferous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Mixed | Proportion of a 20 km2 buffer around the detector made up of mixed forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Pasture | Proportion of a 20 km2 buffer around the detector made up of pasture | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Cultivated.Crops | Proportion of a 20 km2 buffer around the detector made up of cultivated crops | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | RoadDen | Mean number of km of road per km2 in each 20 km2 buffer | calculated from primary and secondary roads raster provided by the NYSDEC, hosted on GitHub | | snowdepth | Mean daily snow depth(m) of the 20 km2 buffer around each detector across the sampling period | National Operational Hydrologic Remote Sensing Centre, 2004. Snow data assimilation system (SNODAS) products ([https://doi.org/10.7265/N5TB14TC](https://doi.org/10.7265/N5TB14TC)). | | forest.edge | Edge density of combined class of all forest in each 20 km2 buffer around detectors | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | min\_temp | The mean daily minimum temperature over the sampling period at each detector (degree C). | PRISM Climate data, Oregon State University ([http://prism.oregonstate.edu](http://prism.oregonstate.edu)). | | GPP | The amount of carbon captured by plants (kg C MJ-1) in at the detectors | MODIS Land Satellite, 2017 ([https://lpdaac.usgs.gov/products/mod17a2hv006/](https://lpdaac.usgs.gov/products/mod17a2hv006/)) | **6. NZ.3yrcamsite.15km.buffer.alllandscapecovariates.csv** This file contains all of the summarized spatial covariate data at a 15km scale used in the analysis. Each row is a different 15km 2 pixel in New York State, each column is a covariate, and each cell is a value. The acronyms used in this dataset are WSI = Winter Severity Index, ADK = Adirondacks, TH = Tug Hill, FID = Field ID, and NZ = Northern Zone). The landscape covariates used in the analysis are: | **Column name / covariate** | **Description** | **Source** | | :-------------------------- | :-------------------------------------------------------------------------------------------- | :----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Deciduous | Proportion of a 15 km2 buffer around the detector made up of deciduous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Coniferous | Proportion of a 15 km2 buffer around the detector made up of coniferous forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Mixed | Proportion of a 15 km2 buffer around the detector made up of mixed forest | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Pasture | Proportion of a 15 km2 buffer around the detector made up of pasture | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | Cultivated.Crops | Proportion of a 15 km2 buffer around the detector made up of cultivated crops | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | RoadDen | Mean number of km of road per km2 in each 15 km2 buffer | calculated from primary and secondary roads raster provided by the NYSDEC, hosted on the github | | snowdepth | Mean daily snow depth(m) of the 15 km2 buffer around each detector across the sampling period | National Operational Hydrologic Remote Sensing Centre, 2004. Snow data assimilation system (SNODAS) products ([https://doi.org/10.7265/N5TB14TC](https://doi.org/10.7265/N5TB14TC)). | | forest.edge | Edge density of combined class of all forest in each 15 km2 buffer around detectors | NLCD, 2019 ([https://www.mrlc.gov/data/nlcd-2019-land-cover-conus](https://www.mrlc.gov/data/nlcd-2019-land-cover-conus)) | | min\_temp | The mean daily minimum temperature over the sampling period at each detector (degree C). | PRISM Climate data, Oregon State University ([http://prism.oregonstate.edu](http://prism.oregonstate.edu)). | | GPP | The amount of carbon captured by plants (kg C MJ-1) in at the detectors | MODIS Land Satellite, 2017 ([https://lpdaac.usgs.gov/products/mod17a2hv006/](https://lpdaac.usgs.gov/products/mod17a2hv006/)) | **7. NZ7daycameras.csv** This file contains observation-level covariate data detailing the camera used on each date. Each row is a different site in New York State, each column is an occasion, and each cell is a value. The acronyms used in this dataset are ADK = Adirondacks, TH = Tug Hill, and NZ = Northern Zone). **8. NZ7dayoccbait.csv** This file contains observation-level covariate data detailing the bait used on each date. Each row is a different site in New York State, each column is an occasion, and each cell is a value. The acronyms used in this dataset are ADK = Adirondacks, TH = Tug Hill, and NZ = Northern Zone). **9. NZAvgTempByOcc.csv** This file contains observation-level covariate data detailing the mean temperature on each occasion at each site. Each row is a different site in New York State, each column is an occasion, and each cell is a value. The temperatures are in degrees C. The acronyms used in this dataset are ADK = Adirondacks, TH = Tug Hill, Occ = Occasion, and NZ = Northern Zone). **10. NZAvgTempByOcc.csv** This file contains observation-level covariate data detailing the ordinal date on the first day of each occasion at each site. Each row is a different site in New York State, each column is an occasion, and each cell is a value. The acronyms used in this dataset are ADK = Adirondacks, TH = Tug Hill, Occ = Occasion, and NZ = Northern Zone). ## Description of software and packages required All analysis was conducted in R, and code to fully reproduce the analysis is provided. The packages required to run this analysis in R include 'unmarked', 'aiCcmodavg', and 'MuMIn'.