Carnivore species and landscape metrics.

Values for simulated species around rural property locations in Amapá, Brazil.

Abundances and presence absence of 3 carnivore species simulated using package virtualspecies . The three species have contrasting responses to forest cover. The response patterns follow those known for carnivore species (Michalski & Peres 2005).

Values for one metric cpland calculated using package landscapemetrics. cpland is the percentage of core area of class in relation to the total landscape area. Landscape metric from MapBiomas forest cover class. Metrics are calculated around each property in buffers with radius of: 0.125, 0.25, 0.5, 1, 2, 4, 8 and 16 km. To reduce influence of satellite image quality, the metric values are median values from three years: study year, year before and year after.

Usage

carnivoros

Format

`carnivoros` is a dataframe, with:

aid

Property identifier.

long

Longitude. Decimal degrees (EPSG:4326).

lat

Latitude. Decimal degrees (EPSG:4326).

lat

Habitat_WWF. Terrestrial ecoregion. https://doi.org/10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2

metric

Metric identifier from landscapemetrics.

buff_dist_km

Buffer distance. Radius in km.

value_median

Median value of landscape metric.

sp_name

Identifier for simulated species.

sp_ab

Species abundances.

sp_pa

Species presence absence.

Source

<https://doi.org/10.1177/1940082920971747>

Details

A subset of three carnivore species abundances and landscape metrics around properties.

References

Michalski, F., Boulhosa, R. L. P., Nascimento, Y. N. D., & Norris, D. (2020). Rural wage-earners’ attitudes towards diverse wildlife groups differ between tropical ecoregions: implications for forest and savanna conservation in the Brazilian Amazon. Tropical Conservation Science, 13, https://doi.org/10.1177/1940082920971747.

Michalski, F., & Peres, C. A. (2005). Anthropogenic determinants of primate and carnivore local extinctions in a fragmented forest landscape of southern Amazonia. Biological conservation, 124(3), 383-396. https://doi.org/10.1016/j.biocon.2005.01.045

Examples

# check data. 3 species x 106 properties = 318
table(carnivoros$buff_dist_km)
#> 
#> 0.125  0.25   0.5     1     2     4     8    16 
#>   318   318   318   318   318   318   318   318 
# check data. 106 properties x 8 buffer distances = 848
table(carnivoros$sp_name)
#> 
#> sppB sppC sppD 
#>  848  848  848