TY - JOUR
T1 - Decision analysis for species preservation under sea-level rise
AU - Linhoss, Anna C.
AU - Kiker, Gregory A.
AU - Aiello-Lammens, Matthew E.
AU - Chu-Agor, Ma Librada
AU - Convertino, Matteo
AU - Muñoz-Carpena, Rafael
AU - Fischer, Richard
AU - Linkov, Igor
N1 - Funding for this project was provided by the Department of Defense Strategic Environmental Research and Development Program (project SI-1699 ). Permission for publishing this material was granted by the USACE Chief of Engineers. The views and opinions expressed in this paper are those of the individual authors and not those of the U.S. Army, or other sponsor organizations.
PY - 2013/8
Y1 - 2013/8
N2 - Sea-level rise is expected to dramatically alter low-lying coastal and intertidal areas, which provide important habitat for shoreline-dependent species. The Snowy Plover ( Charadrius alexandrinus) is a threatened shorebird that relies on Florida Gulf Coast sandy beaches for nesting and breeding. Selecting a management strategy for the conservation of this species under sea-level rise is a complex task that entails the consideration of multiple streams of information, stakeholder preferences, value judgments, and uncertainty. We use a spatially explicit linked modeling process that incorporates geomorphological (SLAMM), habitat (MaxEnt), and metapopulation (RAMAS GIS) models to simulate the effect of sea-level rise on Snowy Plover populations. We then apply multi-criteria decision analysis to identify preferred management strategies for the conservation of the species. Results show that nest exclosures are the most promising conservation strategy followed by predator management, species focused beach nourishment, and no action. Uncertainty in these results remains an important concern, and a better understanding of decision-maker preferences and the Snowy Plover's life history would improve the reliability of the results. This is an innovative method for planning for sea-level rise through pairing a linked modeling system with decision analysis to provide management focused results under an inherently uncertain future.
AB - Sea-level rise is expected to dramatically alter low-lying coastal and intertidal areas, which provide important habitat for shoreline-dependent species. The Snowy Plover ( Charadrius alexandrinus) is a threatened shorebird that relies on Florida Gulf Coast sandy beaches for nesting and breeding. Selecting a management strategy for the conservation of this species under sea-level rise is a complex task that entails the consideration of multiple streams of information, stakeholder preferences, value judgments, and uncertainty. We use a spatially explicit linked modeling process that incorporates geomorphological (SLAMM), habitat (MaxEnt), and metapopulation (RAMAS GIS) models to simulate the effect of sea-level rise on Snowy Plover populations. We then apply multi-criteria decision analysis to identify preferred management strategies for the conservation of the species. Results show that nest exclosures are the most promising conservation strategy followed by predator management, species focused beach nourishment, and no action. Uncertainty in these results remains an important concern, and a better understanding of decision-maker preferences and the Snowy Plover's life history would improve the reliability of the results. This is an innovative method for planning for sea-level rise through pairing a linked modeling system with decision analysis to provide management focused results under an inherently uncertain future.
KW - Ecological modeling
KW - Multi-criteria decision analysis
KW - Scenario planning
KW - Sea-level rise
KW - Snowy Plover
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U2 - 10.1016/j.ecolmodel.2013.05.014
DO - 10.1016/j.ecolmodel.2013.05.014
M3 - Article
AN - SCOPUS:84879364834
SN - 0304-3800
VL - 263
SP - 264
EP - 272
JO - Ecological Modelling
JF - Ecological Modelling
ER -