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sf data frame with POINT geometry containing presence records of the plant Linaria nigricans, greenhouses, and background points from Eastern Andalusia (Spain). The dataframe contains 2 response variables (see linaria_responses), and 20 numeric predictors (see linaria_predictors). Use linaria_extra() to download the associated environmental raster.

The dataset combines species presence records, greenhouse presence records (representing a competing land use), and randomly sampled background points. Species presences and greenhouse presences were spatially thinned at 400 m to remove redundancy at the raster resolution. Background points were randomly sampled within the extent of the presence records. Environmental predictors were extracted from a Landsat/DEM-derived raster at 400 m resolution (EPSG:25830).

Usage

data(linaria)

Format

An sf data frame with 7386 rows (presences and background points) and 25 columns:

Response variables:

  • linaria_nigricans: Binary integer (1 = confirmed Linaria nigricans presence, 0 = greenhouse presence or background point).

  • greenhouses: Binary integer (1 = greenhouse presence, 0 = Linaria nigricans presence or background point).

Predictor variables:

  • 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.

  • rainfall_annual: Total annual rainfall (mm).

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

  • 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).

  • 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).

  • 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 studies:

  • Benito, B.M., Martínez-Ortega, M.M., Munoz, L.M., Lorite, J. & Penas, J. (2009). Assessing extinction-risk of endangered plants using species distribution models: a case study of habitat depletion caused by the spread of greenhouses. Biodiversity and Conservation, 18(9), 2509–2520. doi:10.1007/s10531-009-9604-8

  • Peñas, J., Benito, B., Lorite, J., et al. (2011). Habitat fragmentation in arid zones: a case study of Linaria nigricans under land use changes (SE Spain). Environmental Management, 48, 168–176. doi:10.1007/s00267-011-9663-y

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:

Examples

data(linaria)
colnames(linaria)
#>  [1] "linaria_nigricans"      "greenhouses"            "landsat_band_1"        
#>  [4] "landsat_band_2"         "landsat_band_3"         "landsat_band_4"        
#>  [7] "landsat_band_5"         "landsat_band_6"         "landsat_ndvi"          
#> [10] "rainfall_annual"        "rainfall_summer"        "solar_radiation_summer"
#> [13] "solar_radiation_winter" "temperature_summer_max" "temperature_summer_min"
#> [16] "temperature_winter_max" "temperature_winter_min" "topography_eastness"   
#> [19] "topography_elevation"   "topography_northness"   "topography_position"   
#> [22] "topography_slope"       "x"                      "y"                     
#> [25] "geometry"              
nrow(linaria)
#> [1] 7386
ncol(linaria)
#> [1] 25