Evidence map›Paper›PMID 34434640›Full record

ArticlePeerJ2021

Predicted distribution of a rare and understudied forest carnivore: Humboldt marten (

Katie M Moriarty, Joel Thompson, Matthew Delheimer, Brent R Barry, Mark Linnell, Taal Levi, Keith Hamm, Desiree Early, Holly Gamblin, Micaela Szykman Gunther and 4 more

Abstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

14 authors.

Katie M Moriarty *Western Sustainable Forestry, National Council for Air and Stream Improvement, Inc., Corvallis, OR, United States of America.
Joel Thompson *Pacific Northwest Region Data Resources Management, USDA Forest Service, Joseph, OR, United States of America.
Matthew DelheimerPacific Southwest Research Station, USDA Forest Service, Placerville, CA, United States of America.
Brent R BarryConfederated Tribes of the Grand Ronde, Grand Ronde, OR, United States of America.
Mark LinnellPacific Northwest Research Station, USDA Forest Service, Corvallis, OR, United States of America.
Taal LeviDepartment of Fisheries and Wildlife, Oregon State University, Corvallis, OR, United States of America.
Keith HammGreen Diamond Resource Company, Korbel, CA, United States of America.
Desiree EarlyGreen Diamond Resource Company, Korbel, CA, United States of America.
Holly GamblinDepartment of Wildlife, Humboldt State University, Arcata, CA, United States of America.
Micaela Szykman GuntherDepartment of Wildlife, Humboldt State University, Arcata, CA, United States of America.
Jordan EllisonWestern Sustainable Forestry, National Council for Air and Stream Improvement, Inc., Corvallis, OR, United States of America.
Janet S PrevéyFort Collins Science Center, US Geological Survey, Fort Collins, CO, United States of America.
Jennifer HartmanRogue Detection Teams, Rice, WA, United States of America.
Raymond DavisPacific Northwest Region, USDA Forest Service, Corvallis, OR, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMany mammalian species have experienced range contractions. Following a reduction in distribution that has resulted in apparently small and disjunct populations, the Humboldt marten (

methodsWe modeled Humboldt marten distribution using a maximum entropy (Maxent) approach. We spatially-thinned 10,229 marten locations collected from 1996-2020 by applying a minimum distance of 500-m between locations, resulting in 384 locations used to assess correlations of marten occurrence with biotic and abiotic variables. We independently optimized the spatial scale of each variable and focused development of model variables on biotic associations (e.g., hypothesized relationships with forest conditions), given that abiotic factors such as precipitation are largely static and not alterable within a management context.

resultsHumboldt marten locations were positively associated with increased shrub cover (salal (

Indexed as

CaliforniaDistribution modelHabitat relationshipsHumboldt martenMartes caurinaMaxentOregonPacific martenThreatened species

Identifiers

PMID34434640
PMCPMC8354145

What OpenQuestion holds

Textmetadata
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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.