TY - JOUR
AU - White, Peter S.
AB - Ecologically sound efforts to manage or reintroduce populations of rare species require detailed knowledge of species habitat requirements. However, the fact that such species are rare implies that the data needed for habitat characterization are sparse and that species might well be absent from favorable sites due to chance aspects of dispersal or mortality. We use four rare plant species endemic to southern Appalachian high‐elevation rock outcrops, to illustrate how nonparametric and parametric logistic regression can yield predictive models of the probability that a species will occur, given certain site conditions. Models were constructed for each species at two scales: 100‐m2 plots and 1‐m2 subplots. At the 100‐m2 plot scale, absences beyond the current geographic range were excluded. At the 1‐m2 subplot scale, absences from subplots were only included if the species occurred elsewhere on the 100‐m2 plot.
TI - PREDICTION OF RARE‐PLANT OCCURRENCE: A SOUTHERN APPALACHIAN EXAMPLE
JF - Ecological Applications
DO - 10.1890/1051-0761(1998)008[0909:PORPOA]2.0.CO;2
DA - 1998-01-01
UR - https://www.deepdyve.com/lp/wiley/prediction-of-rare-plant-occurrence-a-southern-appalachian-example-cnPljCoc0C
SP - 909
EP - 920
VL - 8
IS - 4
DP - DeepDyve
ER -