Evidence map›Paper›PMID 38648469›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Predicting resilience of migratory birds to environmental change.

Simeon Lisovski, Bethany J Hoye, Jesse R Conklin, Phil F Battley, Richard A Fuller, Ken B Gosbell, Marcel Klaassen, Chengfa Benjamin Lee, Nicholas J Murray, Silke Bauer

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

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  10. Stopover strategies drive potential adaptability under changing environments.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Simeon LisovskiAlfred Wegener Institute Helmholtz Centre for Polar and Marine Research, Section Polar Terrestrial Environmental Systems, Potsdam 14473, Germany.ORCID 0000-0002-6399-0035
Bethany J HoyeSchool of Earth, Atmospheric and Life Sciences, University of Wollongong, Wollongong, NSW 2522, Australia.ORCID 0000-0001-9502-5582
Jesse R ConklinConservation Ecology Group, Groningen Institute for Evolutionary Life Sciences, University of Groningen, Groningen 9700, The Netherlands.ORCID 0000-0002-1414-0587
Phil F BattleyZoology and Ecology Group, Massey University, Palmerston North 4442, New Zealand.ORCID 0000-0002-8590-8098
Richard A FullerSchool of the Environment, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-9468-9678
Ken B GosbellVictorian Wader Study Group, Blackburn, VIC 3130, Australia.ORCID 0009-0008-1223-8928
Marcel KlaassenVictorian Wader Study Group, Blackburn, VIC 3130, Australia.ORCID 0000-0003-3907-9599
Chengfa Benjamin LeeGerman Aerospace Center, The Remote Sensing Technology Institute, Berlin 12489, Germany.ORCID 0000-0002-2207-5615
Nicholas J MurrayCollege of Science and Engineering, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-4008-3053
Silke BauerFederal Research Institute WSL, Birmensdorf 8903, Switzerland.ORCID 0000-0002-0844-164X

Funding

Belgian Federal Science Policy Office (BELSPO) BelSPO BR/185/A1/GloBAM-BE)National Science Foundation (NSF) 1927743Netherlands Organisation for Scientific Research NWO E10008Research Council of Finland (AKA) aka 326315Schweizerischer Nationalfonds zur Förderung der Wissenschaftlichen Forschung (SNF) 31003A_160265 SNF 31BD30_184120Swiss State Secretariat for Education, Research and Innovation 101084171
6 · The paper itself

Abstract

The pace and scale of environmental change represent major challenges to many organisms. Animals that move long distances, such as migratory birds, are especially vulnerable to change since they need chains of intact habitat along their migratory routes. Estimating the resilience of such species to environmental changes assists in targeting conservation efforts. We developed a migration modeling framework to predict past (1960s), present (2010s), and future (2060s) optimal migration strategies across five shorebird species (Scolopacidae) within the East Asian-Australasian Flyway, which has seen major habitat deterioration and loss over the last century, and compared these predictions to empirical tracks from the present. Our model captured the migration strategies of the five species and identified the changes in migrations needed to respond to habitat deterioration and climate change. Notably, the larger species, with single or few major stopover sites, need to establish new migration routes and strategies, while smaller species can buffer habitat loss by redistributing their stopover areas to novel or less-used sites. Comparing model predictions with empirical tracks also indicates that larger species with the stronger need for adaptations continue to migrate closer to the optimal routes of the past, before habitat deterioration accelerated. Our study not only quantifies the vulnerability of species in the face of global change but also explicitly reveals the extent of adaptations required to sustain their migrations. This modeling framework provides a tool for conservation planning that can accommodate the future needs of migratory species.

Indexed as

Animal MigrationBirdsClimate ChangeEcosystemAnimalsConservation of Natural ResourcesModels, Biologicalavian migrationglobal change biologyhabitat deteriorationoptimal migrationstochastic dynamic programming

Identifiers

PMID38648469
PMCPMC11087779

What OpenQuestion holds

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LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.