TY - JOUR
T1 - Analysis of the threshold and expected coverage approaches to the probabilistic reserve site selection problem
AU - Arthur, Jeffrey L.
AU - Haight, Robert G.
AU - Montgomery, Claire A.
AU - Polasky, Stephen
N1 - Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2002
Y1 - 2002
N2 - Two approaches to formulating the reserve site selection problem when species occurrence data is probabilistic were solved for terrestrial vertebrates in a small set of potential reserve sites in Oregon. The expected coverage approach, which maximizes the sum of the occurrence probabilities, yielded solutions that covered more species on average in Monte Carlo simulations than the threshold approach, which maximizes the number of species for which the occurrence probability exceeds some threshold.
AB - Two approaches to formulating the reserve site selection problem when species occurrence data is probabilistic were solved for terrestrial vertebrates in a small set of potential reserve sites in Oregon. The expected coverage approach, which maximizes the sum of the occurrence probabilities, yielded solutions that covered more species on average in Monte Carlo simulations than the threshold approach, which maximizes the number of species for which the occurrence probability exceeds some threshold.
KW - Incomplete information
KW - Reserve site selection
KW - Species distributions
UR - http://www.scopus.com/inward/record.url?scp=0036276267&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0036276267&partnerID=8YFLogxK
U2 - 10.1023/A:1015693531132
DO - 10.1023/A:1015693531132
M3 - Article
AN - SCOPUS:0036276267
SN - 1420-2026
VL - 7
SP - 81
EP - 89
JO - Environmental Modeling and Assessment
JF - Environmental Modeling and Assessment
IS - 2
ER -