The large-scale drivers of population declines in a long-distance migratory shorebird

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dc.contributorTingley, Morgan
dc.contributorAraújo, Miguel
dc.contributor.authorMurray, Nicholas J.
dc.contributor.authorMarra, Peter P.
dc.contributor.authorFuller, Richard A.
dc.contributor.authorClemens, Robert S.
dc.contributor.authorDhanjal-Adams, Kiran
dc.contributor.authorGosbell, Ken B.
dc.contributor.authorHassell, Chris J.
dc.contributor.authorIwamura, Takuya
dc.contributor.authorMelville, David
dc.contributor.authorMinton, Clive D. T.
dc.contributor.authorRiegen, Adrian C.
dc.contributor.authorRogers, Danny I.
dc.contributor.authorWoehler, Eric J.
dc.contributor.authorStudds, Colin E.
dc.date.accessioned2019-04-04T15:37:13Z
dc.date.available2019-04-04T15:37:13Z
dc.date.issued2017-09-02
dc.description.abstractMigratory species can travel tens of thousands of kilometers each year, spending different parts of their annual cycle in geographically distinct locations. Understanding the drivers of population change is vital for conserving migratory species, yet the challenge of collecting data over entire geographic ranges has hindered attempts to identify the processes leading to observed population changes. Here, we use remotely sensed environmental data and bird count data to investigate the factors driving variability in abundance in two subspecies of a long‐distance migratory shorebird, the bar‐tailed godwit Limosa lapponica. We compiled a spatially and temporally explicit dataset of three environmental variables to identify the conditions experienced by each subspecies in each stage of their annual cycle (breeding, non‐breeding and staging). We used a Bayesian N‐mixture model to analyze 18 years of monthly count data from 21 sites across Australia and New Zealand in relation to the remote sensing data. We found that the abundance of one subspecies L. l. menzbieri in their non‐breeding range was related to climate conditions in breeding grounds, and detected sustained population declines between 1995 and 2012 in both subspecies (L. l. menzbieri, –6.7% and L. l. baueri, –2.1% year⁻¹). To investigate the possible causes of the declines, we quantified changes in habitat extent at 22 migratory staging sites in the Yellow Sea, East Asia, over a 25‐year period and found –1.7% and –1.2% year⁻¹ loss of habitat at staging sites used by L. l. menzbieri and L. l baueri, respectively. Our results highlight the need to identify environmental and anthropogenic drivers of population change across all stages of migration to allow the formulation of effective conservation strategies across entire migratory ranges.en_US
dc.description.sponsorshipThis project arose from a Queensland-Smithsonian Fellowship to NJM to visit PPM at the Smithsonian Migratory Bird Center. In addition, this research was supported by an Australian Research Council Linkage Grant LP100200418, co-funded by the Queensland Dept of Environment and Resource Management, the Commonwealth Dept of Sustainability, Environment, Water, Popu- lation and Communities, the Queensland Wader Study Group and the Port of Brisbane Pty Ltd. Additional support was provided to NJM by the CSIRO Climate Adaptation Flagship, the Australian Government’s National Environmental Research Program and the Australian Research Council Centre of Excellence for Environmental Decisions. CJH was supported by the Global Flyway Network’s major funders over the years, BirdLife Netherlands (2007–2012), WWF Netherlands (2010–2014, 2016) and Spinoza Premium of Netherlands Organisation Prize for Scientific Research to eunis Piersma (2014–2017)en_US
dc.description.urihttps://onlinelibrary.wiley.com/doi/epdf/10.1111/ecog.02957en_US
dc.format.extent10 pagesen_US
dc.genrejournal articlesen_US
dc.identifierdoi:10.13016/m2jkqa-tcca
dc.identifier.citationNicholas J. Murray, et.al, The large‐scale drivers of population declines in a long‐distance migratory shorebird, Ecography, Volume 41, Issue 6 , 2017, https://doi.org/10.1111/ecog.02957en_US
dc.identifier.urihttps://doi.org/10.1111/ecog.02957
dc.identifier.urihttp://hdl.handle.net/11603/13340
dc.language.isoen_USen_US
dc.publisherWiley Periodicalsen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Geography and Environmental Systems Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.rightsThis work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.*
dc.rightsPublic Domain Mark 1.0
dc.rights.urihttp://creativecommons.org/publicdomain/mark/1.0/*
dc.subjectLimosa lapponicaen_US
dc.subjectBayesian N-mixture modelen_US
dc.subjectAustraliaen_US
dc.subjectNew Zealanden_US
dc.subjectmigratory speciesen_US
dc.titleThe large-scale drivers of population declines in a long-distance migratory shorebirden_US
dc.typeTexten_US

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