Evidence map›Paper›PMID 35080327›Full record

ArticleEcological applications : a publication of the Ecological Society of America2022

Modeling demersal fish and benthic invertebrate assemblages in support of marine conservation planning.

John M O'Brien, Ryan R E Stanley, Nicholas W Jeffery, Susan G Heaslip, Claudio DiBacco, Zeliang Wang

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2022. 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. Modeling demersal fish and benthic invertebrate assemblages in support of marine conservation planning.Ecological applications : a publication of the Ecological Society of America · 2022
    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.

John M O'BrienBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.
Ryan R E StanleyBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.
Nicholas W JefferyBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.
Susan G HeaslipBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.
Claudio DiBaccoBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.
Zeliang WangBedford Institute of Oceanography, Fisheries and Oceans Canada, Dartmouth, Nova Scotia, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Marine classification schemes based on abiotic surrogates often inform regional marine conservation planning in lieu of detailed biological data. However, these schemes may poorly represent ecologically relevant biological patterns required for effective design and management strategies. We used a community-level modeling approach to characterize and delineate representative mesoscale (tens to thousands of kilometers) assemblages of demersal fish and benthic invertebrates in the Northwest Atlantic. Hierarchical clustering of species occurrence data from four regional annual multispecies trawl surveys revealed three to six groupings (predominant assemblage types) in each survey region, broadly associated with geomorphic and oceanographic features. Indicator analyses identified 3-34 emblematic taxa of each assemblage type. Random forest classifications accurately predicted assemblage distributions from environmental covariates (AUC > 0.95) and identified thermal limits (annual minimum and maximum bottom temperatures) as important predictors of distribution in each region. Using forecasted oceanographic conditions for the year 2075 and a regional classification model, we projected assemblage distributions in the southernmost bioregion (Scotian Shelf-Bay of Fundy) under a high emissions climate scenario (RCP 8.5). Range expansions to the northeast are projected for assemblages associated with warmer and shallower waters of the Western Scotian Shelf over the 21st century as thermal habitat on the relatively cooler Eastern Scotian Shelf becomes more favorable. Community-level modeling provides a biotic-informed approach for identifying broadscale ecological structure required for the design and management of ecologically coherent, representative, well-connected networks of Marine Protected Areas. When combined with oceanographic forecasts, this modeling approach provides a spatial tool for assessing sensitivity and resilience to climate change, which can improve conservation planning, monitoring, and adaptive management.

Indexed as

FishesInvertebratesAnimalsClimate ChangeEcosystemTemperatureclimate change adaptationcommunity-level modelingconservation planningecological coherenceocean warmingrepresentativity

Identifiers

PMID35080327
PMCPMC9286868

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.