Evidence map›Paper›PMID 35228863›Full record

ArticleEcology and evolution2022

Cats and dogs: A mesopredator navigating risk and reward provisioned by an apex predator.

Mitchell J Brunet, Kevin L Monteith, Katey S Huggler, Justin G Clapp, Daniel J Thompson, Patrick W Burke, Mark Zornes, Patrick Lionberger, Miguel Valdez, Joseph D Holbrook

Abstract read
In one paragraph

Article in Ecology and evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

10 authors.

Mitchell J BrunetHaub School of Environment and Natural Resources University of Wyoming Laramie Wyoming USA.ORCID https://orcid.org/0000-0002-3140-9648
Kevin L MonteithHaub School of Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Katey S HugglerHaub School of Environment and Natural Resources University of Wyoming Laramie Wyoming USA.
Justin G ClappWyoming Game and Fish Department Lander Wyoming USA.
Daniel J ThompsonWyoming Game and Fish Department Lander Wyoming USA.
Patrick W BurkeWyoming Game and Fish Department Green River Wyoming USA.
Mark ZornesWyoming Game and Fish Department Green River Wyoming USA.
Patrick LionbergerBureau of Land Management Rock Springs Field Office Rock Springs Wyoming USA.
Miguel ValdezBureau of Land Management Rock Springs Field Office Rock Springs Wyoming USA.
Joseph D HolbrookHaub School of Environment and Natural Resources University of Wyoming Laramie Wyoming USA.ORCID https://orcid.org/0000-0002-7269-7690

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Successfully perceiving risk and reward is fundamental to the fitness of an animal, and can be achieved through a variety of perception tactics. For example, mesopredators may "directly" perceive risk by visually observing apex predators, or may "indirectly" perceive risk by observing habitats used by predators. Direct assessments should more accurately characterize the arrangement of risk and reward; however, indirect assessments are used more frequently in studies concerning the response of GPS-marked animals to spatiotemporally variable sources of risk and reward. We investigated the response of a mesopredator to the presence of risk and reward created by an apex predator, where risk and reward likely vary in relative perceptibility (i.e., degree of being perceptible). First, we tested whether coyotes (

Indexed as

coyoteencounter rateintraguild predationmountain lionpredation riskscavenge

Identifiers

PMID35228863
PMCPMC8861835

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.