Data frame that contains geographical coordinates, environmental variables, occurrence sites for the studied species and the prediction of its distribution in the native range. These predictions are provided by SDM calibrated on the native range.
data(ecospat.testNiche.nat)
ecospat.testNiche.nat is a data frame with the following columns:
x
Longitude, in WGS84 coordinate system of the species occurrence.
y
Latitude, in WGS84 coordinate system of the species occurrence.
aetpet
Ratio of actual to potential evapotranspiration.
gdd
Growing degree-days above 5 degrees C.
p
Annual amount of precipitations.
pet
Potential evapotranspiration.
stdp
Annual variation of precipitations.
tmax
Maximum temperature of the warmest month.
tmin
Minimum temperature of the coldest month.
tmp
Annual mean temperature.
species_occ
Presence records of the species occurrence.
predictions
Species Distribution Model predictions of the studied species.
Blaise Petitpierre bpetitpierre@gmail.com and Valeria Di Cola valeria.dicola@unil.ch
The study area is North America, which is the native range of the hypothetical species.
Eight topo-climatic explanatory variables to quantify niche differences: ratio of the actual potential evapotranspiration; growing degree days; precipitation; potential evapotranspiration; annual variation of precipitations; maximum temperature of the warmest month; minimum temperature of the coldest month; and annual mean temperature.
Petitpierre, B., C. Kueffer, O. Broennimann, C. Randin, C. Daehler and A. Guisan. 2012. Climatic niche shifts are rare among terrestrial plant invaders. Science, 335, 1344-1348.
ecospat.testNiche.inv
data(ecospat.testNiche.nat)
str(ecospat.testNiche.nat)
dim(ecospat.testNiche.nat)
names(ecospat.testNiche.nat)
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