Evidence map›Paper›PMID 42582312›Full record

ReviewBiodiversity and conservation2026

Impacts of sea level rise on the world's shorebirds.

Jennifer M T Magel, Scott Wilson, Tara G Martin

Abstract readReview
In one paragraph

Review in Biodiversity and conservation, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jennifer M T MagelDepartment of Forest & Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4 Canada.ORCID https://orcid.org/0000-0001-8532-0713
Scott WilsonDepartment of Forest & Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4 Canada.ORCID 0000-0002-1210-8727
Tara G MartinDepartment of Forest & Conservation Sciences, University of British Columbia, Vancouver, BC V6T 1Z4 Canada.ORCID 0000-0001-7165-9812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sea level rise (SLR) poses a significant threat to coastal ecosystems worldwide. Migratory shorebirds rely heavily on nearshore and intertidal ecosystems throughout the annual cycle and are currently undergoing global declines due to the loss of coastal habitat, suggesting that these species may be highly susceptible to future SLR. However, the effects of SLR on shorebird habitat-and, by extension, populations-remain poorly understood. Herein, we conduct the first systematic review of SLR impacts on the world's shorebirds. The effects of SLR across all stages of the annual cycle are expected to be predominantly negative, with 78% of habitat-level studies and 89% of population- and individual-level studies documenting overall negative impacts. Declines in suitable habitat with future SLR have been projected for several sites of international and hemispheric importance to shorebirds, and impacts on shorebird populations are generally more severe than would be projected through habitat loss alone. However, maintenance or expansion of nesting and foraging habitat appears possible in certain areas where inland movement of coastal wetlands is unimpeded by anthropogenic development. Despite an increased focus on the impacts of SLR on shorebirds over the past two decades, the number of studies remains relatively small ( Supplementary Information: The online version contains supplementary material available at 10.1007/s10531-026-03431-8.

Indexed as

Climate changeCoastal squeezeCoastal wetlandsHabitat lossMigratory birdsWaders

Identifiers

PMID42582312
PMCPMC13457410

What OpenQuestion holds

Textmetadata
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.