Optimal management of a multispecies shorebird flyway under sea-level rise

© 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology.

Détails bibliographiques
Publié dans:Conservation biology : the journal of the Society for Conservation Biology. - 1989. - 28(2014), 6 vom: 27. Dez., Seite 1710-20
Auteur principal: Iwamura, Takuya (Auteur)
Autres auteurs: Fuller, Richard A, Possingham, Hugh P
Format: Article en ligne
Langue:English
Publié: 2014
Accès à la collection:Conservation biology : the journal of the Society for Conservation Biology
Sujets:Journal Article Research Support, Non-U.S. Gov't Algoritmo de flujo máximo East Asian-Australasian Flyway aves costeras migratorias coastal wetlands conservation prioritization ecological networks global migrants graph theory plus... humedales costeros maximum flow algorithm migrantes globales migratory shorebirds priorización de la conservación redes ecológicas ruta migratoria Asia-Australasia de Oriente teoría de gráficos
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520 |a © 2014 The Authors. Conservation Biology published by Wiley Periodicals, Inc., on behalf of the Society for Conservation Biology. 
520 |a Every year, millions of migratory shorebirds fly through the East Asian-Australasian Flyway between their arctic breeding grounds and Australasia. This flyway includes numerous coastal wetlands in Asia and the Pacific that are used as stopover sites where birds rest and feed. Loss of a few important stopover sites through sea-level rise (SLR) could cause sudden population declines. We formulated and solved mathematically the problem of how to identify the most important stopover sites to minimize losses of bird populations across flyways by conserving land that facilitates upshore shifts of tidal flats in response to SLR. To guide conservation investment that minimizes losses of migratory bird populations during migration, we developed a spatially explicit flyway model coupled with a maximum flow algorithm. Migratory routes of 10 shorebird taxa were modeled in a graph theoretic framework by representing clusters of important wetlands as nodes and the number of birds flying between 2 nodes as edges. We also evaluated several resource allocation algorithms that required only partial information on flyway connectivity (node strategy, based on the impacts of SLR at nodes; habitat strategy, based on habitat change at sites; population strategy, based on population change at sites; and random investment). The resource allocation algorithms based on flyway information performed on average 15% better than simpler allocations based on patterns of habitat loss or local bird counts. The Yellow Sea region stood out as the most important priority for effective conservation of migratory shorebirds, but investment in this area alone will not ensure the persistence of species across the flyway. The spatial distribution of conservation investments differed enormously according to the severity of SLR and whether information about flyway connectivity was used to guide the prioritizations. With the rapid ongoing loss of coastal wetlands globally, our method provides insight into efficient conservation planning for migratory species 
650 4 |a Journal Article 
650 4 |a Research Support, Non-U.S. Gov't 
650 4 |a Algoritmo de flujo máximo 
650 4 |a East Asian-Australasian Flyway 
650 4 |a aves costeras migratorias 
650 4 |a coastal wetlands 
650 4 |a conservation prioritization 
650 4 |a ecological networks 
650 4 |a global migrants 
650 4 |a graph theory 
650 4 |a humedales costeros 
650 4 |a maximum flow algorithm 
650 4 |a migrantes globales 
650 4 |a migratory shorebirds 
650 4 |a priorización de la conservación 
650 4 |a redes ecológicas 
650 4 |a ruta migratoria Asia-Australasia de Oriente 
650 4 |a teoría de gráficos 
700 1 |a Fuller, Richard A  |e verfasserin  |4 aut 
700 1 |a Possingham, Hugh P  |e verfasserin  |4 aut 
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