Evidence map›Paper›PMID 26667981›Full record

ArticleGlobal change biology2016

Quantifying heterogeneous responses of fish community size structure using novel combined statistical techniques.

Abigail M Marshall, Grant R Bigg, Sonja M van Leeuwen, John K Pinnegar, Hua-Liang Wei, Thomas J Webb, Julia L Blanchard

Abstract read
In one paragraph

Article in Global change biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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.

Abigail M MarshallDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Grant R BiggDepartment of Geography, University of Sheffield, Sheffield, UK.
Sonja M van LeeuwenCentre for Environment, Fisheries and Aquaculture Science, Lowestoft, UK.
John K PinnegarCentre for Environment, Fisheries and Aquaculture Science, Lowestoft, UK.
Hua-Liang WeiDepartment of Automatic Control and Systems Engineering, University of Sheffield, Sheffield, UK.
Thomas J WebbDepartment of Animal and Plant Sciences, University of Sheffield, Sheffield, UK.
Julia L BlanchardInstitute of Marine and Antarctic Studies, University of Tasmania, Hobart, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To understand changes in ecosystems, the appropriate scale at which to study them must be determined. Large marine ecosystems (LMEs) cover thousands of square kilometres and are a useful classification scheme for ecosystem monitoring and assessment. However, averaging across LMEs may obscure intricate dynamics within. The purpose of this study is to mathematically determine local and regional patterns of ecological change within an LME using empirical orthogonal functions (EOFs). After using EOFs to define regions with distinct patterns of change, a statistical model originating from control theory is applied (Nonlinear AutoRegressive Moving Average with eXogenous input - NARMAX) to assess potential drivers of change within these regions. We have selected spatial data sets (0.5° latitude × 1°longitude) of fish abundance from North Sea fisheries research surveys (spanning 1980-2008) as well as of temperature, oxygen, net primary production and a fishing pressure proxy, to which we apply the EOF and NARMAX methods. Two regions showed significant changes since 1980: the central North Sea displayed a decrease in community size structure which the NARMAX model suggested was linked to changes in fishing; and the Norwegian trench region displayed an increase in community size structure which, as indicated by NARMAX results, was primarily linked to changes in sea-bottom temperature. These regions were compared to an area of no change along the eastern Scottish coast where the model determined the community size structure was most strongly associated to net primary production. This study highlights the multifaceted effects of environmental change and fishing pressures in different regions of the North Sea. Furthermore, by highlighting this spatial heterogeneity in community size structure change, important local spatial dynamics are often overlooked when the North Sea is considered as a broad-scale, homogeneous ecosystem (as normally is the case within the political Marine Strategy Framework Directive).

Indexed as

BiodiversityFisheriesModels, BiologicalAnimalsConservation of Natural ResourcesFishesNorth Seabiophysicsbody sizeclimate changedemersal fisheriesempirical orthogonal functionsmarine environmental changeNARMAX modellingNorth Seasize-based indicatorsspatial heterogeneity

Identifiers

PMID26667981
PMCPMC4991301

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Registered trials

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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.