Evidence map›Paper›PMID 26200354›Full record

ArticlePloS one2015

Evaluating Temporal Consistency in Marine Biodiversity Hotspots.

Susan E Piacenza, Lindsey L Thurman, Allison K Barner, Cassandra E Benkwitt, Kate S Boersma, Elizabeth B Cerny-Chipman, Kurt E Ingeman, Tye L Kindinger, Amy J Lindsley, Jake Nelson and 5 more

Abstract read
In one paragraph

Article in PloS one, 2015. 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

15 authors.

Susan E PiacenzaDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Lindsey L ThurmanDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Allison K BarnerDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Cassandra E BenkwittDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Kate S BoersmaDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America; Department of Biology, University of San Diego, San Diego, CA, United States of America.
Elizabeth B Cerny-ChipmanDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Kurt E IngemanDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Tye L KindingerDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Amy J LindsleyDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Jake NelsonDepartment of Geography, Environmental Sciences and Marine Resource Management, Oregon State University, Corvallis, OR, United States of America; Department of Information Systems, Drexel University, Philadelphia, PA, United States of America.
Jessica N ReimerDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Jennifer C RoweDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Chenchen ShenDepartment of Integrative Biology, Oregon State University, Corvallis, OR, United States of America.
Kevin A ThompsonDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Selina S HeppellDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the ongoing crisis of biodiversity loss and limited resources for conservation, the concept of biodiversity hotspots has been useful in determining conservation priority areas. However, there has been limited research into how temporal variability in biodiversity may influence conservation area prioritization. To address this information gap, we present an approach to evaluate the temporal consistency of biodiversity hotspots in large marine ecosystems. Using a large scale, public monitoring dataset collected over an eight year period off the US Pacific Coast, we developed a methodological approach for avoiding biases associated with hotspot delineation. We aggregated benthic fish species data from research trawls and calculated mean hotspot thresholds for fish species richness and Shannon's diversity indices over the eight year dataset. We used a spatial frequency distribution method to assign hotspot designations to the grid cells annually. We found no areas containing consistently high biodiversity through the entire study period based on the mean thresholds, and no grid cell was designated as a hotspot for greater than 50% of the time-series. To test if our approach was sensitive to sampling effort and the geographic extent of the survey, we followed a similar routine for the northern region of the survey area. Our finding of low consistency in benthic fish biodiversity hotspots over time was upheld, regardless of biodiversity metric used, whether thresholds were calculated per year or across all years, or the spatial extent for which we calculated thresholds and identified hotspots. Our results suggest that static measures of benthic fish biodiversity off the US West Coast are insufficient for identification of hotspots and that long-term data are required to appropriately identify patterns of high temporal variability in biodiversity for these highly mobile taxa. Given that ecological communities are responding to a changing climate and other environmental perturbations, our work highlights the need for scientists and conservation managers to consider both spatial and temporal dynamics when designating biodiversity hotspots.

Indexed as

BiodiversityAnimalsAquatic OrganismsFishesPacific OceanUnited States

Identifiers

PMID26200354
PMCPMC4511790

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.