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Forest cover around rural property locations in Amapá, Brazil. Includes landscape metrics for MapBiomas forest cover class.

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

forest_cover_interviews

Format

`forest_cover_interviews` is a dataframe, with:

aid

Property identifier.

long

Longitude. Decimal degrees (EPSG:4326).

lat

Latitude. Decimal degrees (EPSG:4326).

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.

Source

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

Details

A subset of forest cover 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.

Examples

# check data. 106 properties and 8 buffer distances.
table(forest_cover_interviews$buff_dist_km)
#> 
#> 0.125  0.25   0.5     1     2     4     8    16 
#>   106   106   106   106   106   106   106   106