Literature DB >> 23760637

Migratory connectivity magnifies the consequences of habitat loss from sea-level rise for shorebird populations.

Takuya Iwamura1, Hugh P Possingham, Iadine Chadès, Clive Minton, Nicholas J Murray, Danny I Rogers, Eric A Treml, Richard A Fuller.   

Abstract

Sea-level rise (SLR) will greatly alter littoral ecosystems, causing habitat change and loss for coastal species. Habitat loss is widely used as a measurement of the risk of extinction, but because many coastal species are migratory, the impact of habitat loss will depend not only on its extent, but also on where it occurs. Here, we develop a novel graph-theoretic approach to measure the vulnerability of a migratory network to the impact of habitat loss from SLR based on population flow through the network. We show that reductions in population flow far exceed the proportion of habitat lost for 10 long-distance migrant shorebirds using the East Asian-Australasian Flyway. We estimate that SLR will inundate 23-40% of intertidal habitat area along their migration routes, but cause a reduction in population flow of up to 72 per cent across the taxa. This magnifying effect was particularly strong for taxa whose migration routes contain bottlenecks-sites through which a large fraction of the population travels. We develop the bottleneck index, a new network metric that positively correlates with the predicted impacts of habitat loss on overall population flow. Our results indicate that migratory species are at greater risk than previously realized.

Entities:  

Keywords:  East Asian–Australasian Flyway; ecological networks; graph theory; maximum flow; migratory shorebirds; sea-level rise

Mesh:

Year:  2013        PMID: 23760637      PMCID: PMC3652437          DOI: 10.1098/rspb.2013.0325

Source DB:  PubMed          Journal:  Proc Biol Sci        ISSN: 0962-8452            Impact factor:   5.349


  16 in total

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Review 4.  Graph theory and networks in Biology.

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5.  Kinematic constraints on glacier contributions to 21st-century sea-level rise.

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Authors:  Deborah M Buehler; Theunis Piersma
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  19 in total

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Authors:  Rien E van Wijk; Michael Schaub; Steffen Hahn; Natalia Juárez-García-Pelayo; Björn Schäfer; Lukáš Viktora; Manuel Martín-Vivaldi; Marko Zischewski; Silke Bauer
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Journal:  Proc Natl Acad Sci U S A       Date:  2018-02-26       Impact factor: 11.205

Review 5.  A Bird's Eye View of Influenza A Virus Transmission: Challenges with Characterizing Both Sides of a Co-Evolutionary Dynamic.

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6.  Predicting vulnerabilities of North American shorebirds to climate change.

Authors:  Hector Galbraith; David W DesRochers; Stephen Brown; J Michael Reed
Journal:  PLoS One       Date:  2014-09-30       Impact factor: 3.240

7.  A general modeling framework for describing spatially structured population dynamics.

Authors:  Christine Sample; John M Fryxell; Joanna A Bieri; Paula Federico; Julia E Earl; Ruscena Wiederholt; Brady J Mattsson; D T Tyler Flockhart; Sam Nicol; Jay E Diffendorfer; Wayne E Thogmartin; Richard A Erickson; D Ryan Norris
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8.  Rapid population decline in migratory shorebirds relying on Yellow Sea tidal mudflats as stopover sites.

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10.  Effect of wind farms on wintering ducks at an important wintering ground in China along the East Asian-Australasian Flyway.

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