Evidence map›Paper›PMID 37011195›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Predicting climate change impacts on poikilotherms using physiologically guided species abundance models.

Tyler Wagner, Erin M Schliep, Joshua S North, Holly Kundel, Christopher A Custer, Jenna K Ruzich, Gretchen J A Hansen

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Key drivers of at-vessel mortality in demersal sharks.Conservation biology : the journal of the Society for Conservation Biology · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Clustered warming tolerances and the nonlinear risks of biodiversity loss on a warming planet.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Review
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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

7 authors.

Tyler WagnerU.S. Geological Survey, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, PA 16802.ORCID 0000-0003-1726-016X
Erin M SchliepDepartment of Statistics, North Carolina State University, Raleigh, NC 27695.
Joshua S NorthClimate and Ecosystem Sciences Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720.ORCID 0000-0001-7631-8021
Holly KundelDepartment of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55108.ORCID 0000-0002-5154-4150
Christopher A CusterDepartment of Ecosystem Science and Management, Pennsylvania Cooperative Fish and Wildlife Research Unit, The Pennsylvania State University, University Park, PA 16802.ORCID 0000-0003-2072-1414
Jenna K RuzichDepartment of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55108.ORCID 0000-0003-2960-8485
Gretchen J A HansenDepartment of Fisheries, Wildlife, and Conservation Biology, University of Minnesota, St. Paul, MN 55108.ORCID 0000-0003-0241-7048

Funding

National Science Foundation (NSF) EF-1638679 EF-1638554 EF-1638539 and EF-1638550
6 · The paper itself

Abstract

Poikilothermic animals comprise most species on Earth and are especially sensitive to changes in environmental temperatures. Species conservation in a changing climate relies upon predictions of species responses to future conditions, yet predicting species responses to climate change when temperatures exceed the bounds of observed data is fraught with challenges. We present a physiologically guided abundance (PGA) model that combines observations of species abundance and environmental conditions with laboratory-derived data on the physiological response of poikilotherms to temperature to predict species geographical distributions and abundance in response to climate change. The model incorporates uncertainty in laboratory-derived thermal response curves and provides estimates of thermal habitat suitability and extinction probability based on site-specific conditions. We show that temperature-driven changes in distributions, local extinction, and abundance of cold, cool, and warm-adapted species vary substantially when physiological information is incorporated. Notably, cold-adapted species were predicted by the PGA model to be extirpated in 61% of locations that they currently inhabit, while extirpation was never predicted by a correlative niche model. Failure to account for species-specific physiological constraints could lead to unrealistic predictions under a warming climate, including underestimates of local extirpation for cold-adapted species near the edges of their climate niche space and overoptimistic predictions of warm-adapted species.

Indexed as

Climate ChangeFishesAnimalsCold TemperatureEcosystemTemperaturecold-bloodeddata fusionextrapolationfreshwater fishes

Identifiers

PMID37011195
PMCPMC10104529

What OpenQuestion holds

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LicenceCC BY
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.