ArticlePloS one2014
Kernel density surface modelling as a means to identify significant concentrations of vulnerable marine ecosystem indicators.
Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
What it found
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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.
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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.
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Who cites it
9 citing papers in PubMed, 76 citations in OpenAlex.
- Fine-scale spatial organisation of deep-sea sea pens in a NE atlantic submarine canyon conservation area.Scientific reports · 2025Article
- Fish use of deep-sea sponge habitats evidenced by long-term high-resolution monitoring.Scientific reports · 2025Article
- Towards a scientific community consensus on designating Vulnerable Marine Ecosystems from imagery.PeerJ · 2023Article
- Article
- Towards Non-Invasive Methods to Assess Population Structure and Biomass in Vulnerable Sea Pen Fields.Sensors (Basel, Switzerland) · 2019Article
- Article
- Article
- Aggregated clumps of lithistid sponges: a singular, reef-like bathyal habitat with relevant paleontological connections.PloS one · 2015Article
- Ancient deep-sea sponge grounds on the Flemish Cap and Grand Bank, northwest Atlantic.Marine biologyArticle
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 4 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The United Nations General Assembly Resolution 61/105, concerning sustainable fisheries in the marine ecosystem, calls for the protection of vulnerable marine ecosystems (VME) from destructive fishing practices. Subsequently, the Food and Agriculture Organization (FAO) produced guidelines for identification of VME indicator species/taxa to assist in the implementation of the resolution, but recommended the development of case-specific operational definitions for their application. We applied kernel density estimation (KDE) to research vessel trawl survey data from inside the fishing footprint of the Northwest Atlantic Fisheries Organization (NAFO) Regulatory Area in the high seas of the northwest Atlantic to create biomass density surfaces for four VME indicator taxa: large-sized sponges, sea pens, small and large gorgonian corals. These VME indicator taxa were identified previously by NAFO using the fragility, life history characteristics and structural complexity criteria presented by FAO, along with an evaluation of their recovery trajectories. KDE, a non-parametric neighbour-based smoothing function, has been used previously in ecology to identify hotspots, that is, areas of relatively high biomass/abundance. We present a novel approach of examining relative changes in area under polygons created from encircling successive biomass categories on the KDE surface to identify "significant concentrations" of biomass, which we equate to VMEs. This allows identification of the VMEs from the broader distribution of the species in the study area. We provide independent assessments of the VMEs so identified using underwater images, benthic sampling with other gear types (dredges, cores), and/or published species distribution models of probability of occurrence, as available. For each VME indicator taxon we provide a brief review of their ecological function which will be important in future assessments of significant adverse impact on these habitats here and elsewhere.
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Registered trials
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.