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Threatened Plant Species Presences and Background Points in Andalusia, Spain

Source: R/andalusia.R
andalusia.Rd

sf data frame with POINT geometry containing presence records of threatened and endemic plant species and background points from Andalusia, Spain. The dataframe contains 2 response variables (see andalusia_responses), and 20 numeric predictors (see andalusia_predictors). Use andalusia_extra() to download the associated environmental raster.

The dataset combines species occurrence records and randomly sampled background points. Presences were spatially thinned at the raster cell level (400 m) to remove redundancy. Background points were randomly sampled within the raster extent. Species with fewer than 30 records after thinning were excluded. Environmental predictors were extracted from a Landsat/DEM-derived raster at 400 m resolution (EPSG:25830).

Usage

data(andalusia)

Format

An sf data frame with 8666 rows (presences and background points) and 23 columns:

Response variables (2):

  • species: Character string (species name or "background").

  • presence: Binary integer stored as integer (1 = confirmed species presence, 0 = background point).

Predictor variables - Landsat (7):

  • landsat_band_1: Landsat TM Band 1 — Blue (0.45–0.52 µm), surface reflectance.

  • landsat_band_2: Landsat TM Band 2 — Green (0.52–0.60 µm), surface reflectance.

  • landsat_band_3: Landsat TM Band 3 — Red (0.63–0.69 µm), surface reflectance.

  • landsat_band_4: Landsat TM Band 4 — Near-infrared (0.76–0.90 µm), surface reflectance.

  • landsat_band_5: Landsat TM Band 5 — Short-wave infrared 1 (1.55–1.75 µm), surface reflectance.

  • landsat_band_6: Landsat TM Band 6 — Thermal infrared (10.4–12.5 µm), brightness temperature (K).

  • landsat_ndvi: Normalized Difference Vegetation Index derived from Landsat bands 3 and 4.

Predictor variables - Rainfall (2):

  • rainfall_annual: Total annual rainfall (mm).

  • rainfall_summer: Total summer rainfall (mm, June–September).

Predictor variables - Solar radiation (2):

  • solar_radiation_summer: Mean daily solar radiation in summer (kJ m-2 day-1).

  • solar_radiation_winter: Mean daily solar radiation in winter (kJ m-2 day-1).

Predictor variables - Temperature (4):

  • temperature_summer_max: Mean maximum temperature in summer (degrees C).

  • temperature_summer_min: Mean minimum temperature in summer (degrees C).

  • temperature_winter_max: Mean maximum temperature in winter (degrees C).

  • temperature_winter_min: Mean minimum temperature in winter (degrees C).

Predictor variables - Topography (5):

  • topography_eastness: Eastward component of aspect (sin of aspect in radians).

  • topography_elevation: Elevation above sea level (m).

  • topography_northness: Northward component of aspect (cos of aspect in radians).

  • topography_position: Topographic position index (local elevation relative to neighbourhood mean).

  • topography_slope: Slope gradient (degrees).

Geometry:

  • geometry: Point geometry (ETRS89 / UTM zone 30N, EPSG:25830).

Source

Published study, data preparation, and species occurrence data:

  • Benito, B.M., Lorite, J., Pérez-Pérez, R., Gómez-Aparicio, L., & Peñas, J. (2014). Forecasting plant range collapse in a mediterranean hotspot: when dispersal uncertainties matter. Diversity and Distributions, 20(1), 72–83. https://doi.org/10.1111/ddi.12148

Landsat imagery:

Climate variables:

  • Ninyerola, M., Pons, X. & Roure, J.M. (2005). Atlas Climático Digital de la Península Ibérica: Metodología y aplicaciones en bioclimatología y geobotánica. Universidad Autónoma de Barcelona, Bellaterra.

Topography:

See also

Other andalusia: andalusia_extra(), andalusia_predictors, andalusia_responses