Evidence map›Paper›PMID 30013133›Full record

ArticleNature ecology & evolution2018

Patchy field sampling biases understanding of climate change impacts across the Arctic.

Daniel B Metcalfe, Thirze D G Hermans, Jenny Ahlstrand, Michael Becker, Martin Berggren, Robert G Björk, Mats P Björkman, Daan Blok, Nitin Chaudhary, Chelsea Chisholm and 19 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature ecology & evolution, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 3 pooled it
–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

36 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
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  13. The Expanding Diversity of Viruses from Extreme Environments.International journal of molecular sciences · 2024
    Review
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  20. Assessing dynamic vegetation model parameter uncertainty across Alaskan arctic tundra plant communities.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors.

Daniel B MetcalfeDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden. dbmetcalfe@gmail.com.ORCID http://orcid.org/0000-0001-8325-9269
Thirze D G HermansDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Jenny AhlstrandDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Michael BeckerCenter for Macroecology, Evolution and Climate, Natural History Museum of Copenhagen, University of Copenhagen, Copenhagen, Denmark.
Martin BerggrenDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Robert G BjörkDepartment of Earth Sciences, University of Gothenburg, Gothenburg, Sweden.ORCID http://orcid.org/0000-0001-7346-666X
Mats P BjörkmanDepartment of Earth Sciences, University of Gothenburg, Gothenburg, Sweden.
Daan BlokDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Nitin ChaudharyDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Chelsea ChisholmCenter for Macroecology, Evolution and Climate, Natural History Museum of Copenhagen, University of Copenhagen, Copenhagen, Denmark.
Aimée T ClassenCenter for Macroecology, Evolution and Climate, Natural History Museum of Copenhagen, University of Copenhagen, Copenhagen, Denmark.ORCID http://orcid.org/0000-0002-6741-3470
Niles J HasselquistDepartment of Forest Ecology and Management, Swedish University of Agricultural Sciences, Umeå, Sweden.
Micael JonssonDepartment of Ecology and Environmental Science, Umeå University, Umeå, Sweden.
Jeppe A KristensenDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Bright B KumordziDépartement des Sciences du Bois et de la Forêt, Université Laval, Québec, Canada.
Hanna LeeUni Research Climate, Bjerknes Centre for Climate Research, Bergen, Norway.
Jordan R MayorDepartment of Biological Sciences, Humboldt State University, Arcata, CA, USA.
Janet PrevéyWSL Institute for Snow and Avalanche Research SLF, Davos, Switzerland.
Karolina PantazatouDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Johannes RouskDepartment of Biology, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0002-4985-7262
Ryan A SponsellerDepartment of Ecology and Environmental Science, Umeå University, Umeå, Sweden.
Maja K SundqvistCenter for Macroecology, Evolution and Climate, Natural History Museum of Copenhagen, University of Copenhagen, Copenhagen, Denmark.
Jing TangTerrestrial Ecology Section, Department of Biology, University of Copenhagen, Copenhagen, Denmark.
Johan UddlingDepartment of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
Göran WallinDepartment of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
Wenxin ZhangDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Anders AhlströmDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
David E TenenbaumDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.
Abdulhakim M AbdiDepartment of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden.ORCID http://orcid.org/0000-0001-6486-8747

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective societal responses to rapid climate change in the Arctic rely on an accurate representation of region-specific ecosystem properties and processes. However, this is limited by the scarcity and patchy distribution of field measurements. Here, we use a comprehensive, geo-referenced database of primary field measurements in 1,840 published studies across the Arctic to identify statistically significant spatial biases in field sampling and study citation across this globally important region. We find that 31% of all study citations are derived from sites located within 50 km of just two research sites: Toolik Lake in the USA and Abisko in Sweden. Furthermore, relatively colder, more rapidly warming and sparsely vegetated sites are under-sampled and under-recognized in terms of citations, particularly among microbiology-related studies. The poorly sampled and cited areas, mainly in the Canadian high-Arctic archipelago and the Arctic coastline of Russia, constitute a large fraction of the Arctic ice-free land area. Our results suggest that the current pattern of sampling and citation may bias the scientific consensuses that underpin attempts to accurately predict and effectively mitigate climate change in the region. Further work is required to increase both the quality and quantity of sampling, and incorporate existing literature from poorly cited areas to generate a more representative picture of Arctic climate change and its environmental impacts.

Indexed as

Climate ChangeArctic RegionsEcosystemSelection BiasSpatial Analysis

Identifiers

What OpenQuestion holds

Textmetadata
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.