Evidence map›Paper›PMID 42806475›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Long-term monitoring and remote sensing reveal waterbird colony collapses with rising lake levels and multiple stressors.

Jennifer L Fuller, Erin Ford, Ava Landgraf, Johannes Foufopoulos, Andrew Gronewold, Karen M Alofs

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Long-term monitoring and remote sensing reveal waterbird colony collapses with rising lake levels and multiple stressors.Ecological applications : a publication of the Ecological Society of America · 2026
    Article
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

6 authors.

Jennifer L FullerSchool for Environment and Sustainability, The University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-6325-0734
Erin FordAudubon Great Lakes, Chicago, Illinois, USA.
Ava LandgrafDetroit Bird Alliance, Detroit, Michigan, USA.
Johannes FoufopoulosSchool for Environment and Sustainability, The University of Michigan, Ann Arbor, Michigan, USA.
Andrew GronewoldSchool for Environment and Sustainability, The University of Michigan, Ann Arbor, Michigan, USA.
Karen M AlofsSchool for Environment and Sustainability, The University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-4161-3554

Funding

Association of Field OrnithologistsHorace H. Rackham School of Graduate Studies, University of MichiganMichigan Sea Grant, University of Michigan R/CGLH-12NSF Global Centers Program 2330317
6 · The paper itself

Abstract

Global climate change is expected to exacerbate existing environmental stressors and increasingly impact biodiversity. While likely widespread, changes in wildlife populations resulting from the interaction of climate change and other environmental stressors remain poorly understood. We investigated climate-mediated lake level fluctuations in coastal wetland ecosystems undergoing shoreline development and species invasions in the Laurentian Great Lakes. We evaluated the potential of multiple stressors to reduce ecological resilience and generate alternative stable states, by examining effects on a declining wetland habitat indicator species, the Black Tern (Chlidonias niger). We monitored one of the largest breeding Black Tern colonies in the Great Lakes over 8 years (2013-2020), recording population size, nest location and hatch success, clutch initiation date, and nest habitat characteristics (relative initial nest water depth, mean NDVI and % dense vegetation within a 7 and 12-m radius, and distance to open water and developed land). We applied a generalized linear mixed-effects model (GLMM) to determine hatch success response to biological and habitat predictors. We mapped the GLMM's predictors to quantify the spatial extent of hatch success likelihood and used a second GLMM to relate sub-colony breeding pair abundance to habitat variables derived from the spatial model. From 2013 to 2020, the mean breeding season lake level (May-July) increased by 1.03 m, coinciding with a 55% decline in hatch success rate and 77% decline in breeding pairs. Hatching success was negatively related to clutch initiation date, relative initial nest water depth, and % dense vegetation, and positively related to distance from the main lake and mean NDVI. The GLMM indicated breeding pair abundance was positively related to the area of sub-colony habitat with >50% hatch success likelihood. Our findings demonstrate rapid hydrological change, coastline development, and common reed (Phragmites australis) invasion reduced habitat migration potential and available nesting habitat, likely contributing to near abandonment of the colony. While future hydrological projections are uncertain, we expect Black Tern colony populations to fluctuate in response to lake levels in the region. Our study exemplifies how multiple stressors can undermine wetland resilience to climate change and present a conservation challenge for vulnerable wetland taxa.

Indexed as

CharadriiformesClimate ChangeEnvironmental MonitoringLakesWetlandsAnimalsGreat Lakes RegionPopulation DynamicsRemote Sensing Technologyblack tern (Chlidonias niger)climate changecoastal squeezecoastal wetlandscommon reed (Phragmites australis)ecological resilienceGreat Lakeshatching successinvasive specieslake level fluctuationsmultiple stressorswetland conservation

Identifiers

PMID42806475
PMCPMC13620196

What OpenQuestion holds

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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.