Evidence map›Paper›PMID 33170879›Full record

ArticlePloS one2020

Shifting seas, shifting boundaries: Dynamic marine protected area designs for a changing climate.

Tim Cashion, Tu Nguyen, Talya Ten Brink, Anne Mook, Juliano Palacios-Abrantes, Sarah M Roberts

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Tim CashionFisheries Economics Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, Canada.ORCID 0000-0002-2945-5397
Tu NguyenDepartment of Applied Economics, Oregon State University, Corvallis, OR, United States of America.
Talya Ten BrinkGreater Atlantic Regional Fisheries Office, National Marine Fisheries Service, National Oceanic and Atmospheric Administration, Gloucester, MA, United States of America.
Anne MookDepartment of Sociology & Anthropology, Nazarbayev University, Nur Sultan, Kazakhstan.
Juliano Palacios-AbrantesChanging Ocean Research Unit, Institute for the Oceans and Fisheries, University of British Columbia, Vancouver, Canada.
Sarah M RobertsMarine Geospatial Ecology Lab, Nicholas School of the Environment and Earth Sciences, Duke University, Durham, NC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine protected areas (MPAs) are valuable tools for marine conservation that aim to limit human impacts on marine systems and protect valuable species or habitats. However, as species distributions shift due to ocean warming, acidification, and oxygen depletion from climate change, the areas originally designated under MPAs may bear little resemblance to their past state. Different approaches have been suggested for coping with species on the move in conservation. Here, we test the effectiveness of different MPA designs, including dynamic, network, and different directional orientations on protecting shifting species under climate change through ecosystem modeling in a theoretical ecosystem. Our findings suggest that dynamic MPAs may benefit some species (e.g., whiting and anchovy) and fishing fleets, and these benefits can inform the design or adaptation of MPAs worldwide. In addition, we find that it is important to design MPAs with specific goals and to account for the effects of released fishing pressure and species interactions in MPA design.

Indexed as

Climate ChangeEcosystemAnimalsHumans

Identifiers

PMID33170879
PMCPMC7654810

What OpenQuestion holds

Textmetadata
LicenceCC0
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.