Raccoon use-availability and oral rabies vaccination (ORV) bait data from the Burlington, Vermont ORV zone

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Entity_and_Attribute_Information:

Overview_Description:

Entity_and_Attribute_Overview:

Below you will find a list and description of the 12 data files included in this data publication.

1. \Data\cell_road.csv: Comma-delimited ASCII text (CSV) file containing a single variable: cell = unique grid IDs of grid cells within the 30 meter (m) resolution 300 x 300 Burlington simulation study area. Major and minor roads in the study area are located within these grid cells.


2. \Data\Prop_init.csv: CSV file containing tabular data used to initialize simulated raccoons on the landscape based on their RSF habitat associations and the underlying landscape of the Burlington, VT study area.

Variables include:

GridID = unique ID number of the 300 x 300 30 m resolution 81 square kilometer (km²) study area,
(1 - 90,000)

NoRSF = generalist scenario, no biases in movement related to landscape heterogeneity

Popdata = data-based population-level initialization

PopSpe = theoretical population-based raccoon initialization modeled by doubling the data-based estimated RSF coefficients
for the preferred landcover types for radio-tracked raccoons

Ind1 - Ind25 = columns correspond to initialization algorithms based on individual-level RSF patterns in each of the 25 radio-tagged raccoons (IDs 1 - 25)


3. \Data\Prop_offt.csv: CSV file containing values that reflect the off-time bait calculator used in NRMP baiting delivery which denotes a percentage of time during which bait delivery is restricted by land cover type. These proportions are reported for each 30 m resolution grid within the study area.

Variables include:

GridID = unique ID number of the 300 x 300 30 m resolution 81 km² study area (1 - 90,000)

Land = NLCD-defined land cover type at each unique grid ID (NLCD land cover classifications: 11 = open water, 21 = open space development, 22 = low intensity development, 23 = medium intensity development, 24 = high intensity development, 31 = barren, 41 = deciduous forest, 42 = coniferous forest, 43 = mixed forest, 52 = shrub, 71 = grassland/herbaceous, 81 = pasture/hay, 82 = cultivated crops, 90 = woody wetlands, and 95 = herbaceous wetlands)

Prop = proportion of time (0-100%) during which bait delivery is restricted within the specified land cover type. A value of 0 indicates that baits are delivered at the full baiting target density, and 100 indicates that baits are never delivered in this land cover type.


4. \Data\RSF_usage_and_availability.csv: CSV file containing raccoon usage and availability data for 25 radio-tagged raccoons captured in the greater Burlington, VT area in 2016. Land cover was extracted for all GPS locations of raccoons as well as 10,000 randomly chosen points within home ranges estimated using KDE. These data were used for the resource selection function (RSF) analysis.

Variables include:

ID = raccoon ID

date = date and time

use_avail = whether the point was used (1) or available (0)

luse = reclassified NLCD land classes at each used or available GPS point (reclassified land cover classifications: 1 = open space and low intensity development, 2 = medium and high development, 3 = deciduous and mixed forest, 4 = coniferous, 5 = shrubs and grasslands/herbaceous, 6 = pasture/hay, 7 = cultivated crops, 8 = woody and herbaceous wetlands, 9 = barren and open water).


RASTER DATA FILES

5. \Data\Rasters\bait_count_2016.tif: Tagged image format file (TIFF) containing bait count raster from NRMP ORV delivery efforts conducted in 2016 and aggregated at a 900 m spatial resolution. Values are bait counts within each 900 m x 900 m grid across the study area (100 grids total). Code is provided in the supplemental data file published with the paper that reorganizes the data into a 30 m resolution raster that can be used to run the simulation model, although with a different bait distribution than in the original data (for privacy reasons).

6. \Data\Rasters\bait_count_2017.tif: TIFF file containing bait count raster from NRMP ORV delivery efforts conducted in 2017 and aggregated at a 900 m spatial resolution. Values are bait counts within each 900 m x 900 m grid across the study area (100 grids total). Code is provided in the supplemental data file published with the paper that reorganizes the data into a 30 m resolution raster that can be used to run the simulation model, although with a different bait distribution than in the original data (for privacy reasons).

7. \Data\Rasters\reclass_luse.tif: TIF file containing reclassified NLCD land cover raster data of the 81 km² study area at a 30 m resolution. Values indicate one of nine reclassified land cover types; NAD 83 datum. Values of the raster are as follows: 1 = open space and low intensity development, 2 = medium and high development, 3 = deciduous and mixed forest, 4 = coniferous, 5 = shrubs and grasslands/herbaceous, 6 = pasture/hay, 7 = cultivated crops, 8 = woody and herbaceous wetlands, 9 = barren and open water


RSF COEFFICIENT RESULTS AND MOVEMENT PARAMETERS

The following five tabular data files include RSF coefficient results and movement parameters representing five movement scenarios explored in the simulation models.

Each file contains the following variables:

id_num = raccoon ID

shape = estimated shape parameter for the gamma distribution fit to individual-level raccoon step lengths (in meters; at a 30 minute interval time scale)

scale = estimated scale parameter for the gamma distribution fit to individual-level raccoon step lengths (in meters; at a 30 minute interval time scale)

The next nine columns in these files represent RSF coefficients incorporated into the habitat-biased movement simulations for the following land cover type data:

low_devel = open space and low intensity development

urb = medium and high intensity development

deci = deciduous and mixed forest

coni = coniferous forest

shrub = shrub and grasslands

pasture = pasture/hay

crop = cultivated crops

wetl = herbaceous and wood wetlands

water = open water


8. \Data\RSFcoeffs\Individual_data.csv: CSV file containing individual-level RSF coefficients by nine land cover classes for 25 raccoons.

9. \Data\RSFcoeffs\Individual_spe.csv: CSV file containing theoretical individual-level RSF coefficients for specialist movement scenario.

10. \Data\RSFcoeffs\NoRSF.csv: CSV file containing no RSF coefficients describing habitat selection patterns, used for generalist movement scenario.

11. \Data\RSFcoeffs\Population_data.csv: CSV file containing data-based population-level (average) RSF coefficients.

12. \Data\RSFcoeffs\Population_spe.csv: CSV file containing population-level RSF coefficients, doubled RSF values for preferred habitat types (deciduous and mixed forest; woody and herbaceous wetlands).

Entity_and_Attribute_Detail_Citation:

McClure, Katherine M.; Bastille-Rousseau, Guillaume; Davis, Amy J.; Stengel, Carolyn A.; Nelson, Kathleen M.; Chipman, Richard B.; Wittemyer, George; Abdo, Zaid; Gilbert, Amy T.; Pepin, Kim M. 2022. Accounting for animal movement improves vaccination strategies against wildlife disease in heterogeneous landscapes. Ecological Applications e2568. https://doi.org/10.1002/eap.2568

Metadata_Reference_Information:

Metadata_Date: 20220314

Metadata_Contact:

Contact_Information:

Contact_Organization_Primary:

Contact_Organization: USDA, APHIS, Wildlife Service, National Wildlife Research Center

Contact_Person: Amy T. Gilbert

Contact_Position: Supervisory Research Biologist

Contact_Address:

Address_Type: mailing and physical

Address: 4101 Laporte Ave.

City: Fort Collins

State_or_Province: CO

Postal_Code: 80521

Country: USA

Contact_Voice_Telephone: 970-266-6054

Contact_Electronic_Mail_Address: amy.t.gilbert@usda.gov

Metadata_Standard_Name: FGDC Biological Data Profile of the Content Standard for Digital Geospatial Metadata

Metadata_Standard_Version: FGDC-STD-001.1-1999