Evidence map›Paper›PMID 38052808›Full record

ArticleNature communications2023

Ecological forecasts for marine resource management during climate extremes.

Stephanie Brodie, Mercedes Pozo Buil, Heather Welch, Steven J Bograd, Elliott L Hazen, Jarrod A Santora, Rachel Seary, Isaac D Schroeder, Michael G Jacox

Abstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Fishing fleets as ecosystem sentinels.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Species aggregation models resolve essential foraging habitat: Implications for conservation and management.Ecological applications : a publication of the Ecological Society of America · 2025
    Article
  4. 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

9 authors.

Stephanie BrodieInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA. steph.brodie@csiro.au.ORCID 0000-0003-0869-9939
Mercedes Pozo BuilInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.
Heather WelchInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.
Steven J BogradInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.ORCID 0000-0003-3872-9932
Elliott L HazenInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.ORCID 0000-0002-0412-7178
Jarrod A SantoraFisheries Ecology Division, Southwest Fisheries Science Center, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Santa Cruz, CA, USA.
Rachel SearyInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.
Isaac D SchroederInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.
Michael G JacoxInstitute of Marine Sciences, University of California Santa Cruz, Monterey, CA, USA.ORCID 0000-0003-3684-0717

Funding

United States Department of Commerce | NOAA | Climate Program Office (NOAA Climate Program Office) NA17OAR4310108
6 · The paper itself

Abstract

Forecasting weather has become commonplace, but as society faces novel and uncertain environmental conditions there is a critical need to forecast ecology. Forewarning of ecosystem conditions during climate extremes can support proactive decision-making, yet applications of ecological forecasts are still limited. We showcase the capacity for existing marine management tools to transition to a forecasting configuration and provide skilful ecological forecasts up to 12 months in advance. The management tools use ocean temperature anomalies to help mitigate whale entanglements and sea turtle bycatch, and we show that forecasts can forewarn of human-wildlife interactions caused by unprecedented climate extremes. We further show that regionally downscaled forecasts are not a necessity for ecological forecasting and can be less skilful than global forecasts if they have fewer ensemble members. Our results highlight capacity for ecological forecasts to be explored for regions without the infrastructure or capacity to regionally downscale, ultimately helping to improve marine resource management and climate adaptation globally.

Indexed as

ClimateEcosystemClimate ChangeForecastingHumansTemperatureWeather

Identifiers

PMID38052808
PMCPMC10698027

What OpenQuestion holds

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LicenceCC BY
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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.