Evidence map›Paper›PMID 31813024›Full record

ArticleOecologia2020

Dynamic rodent behavioral response to predation risk: implications for disease ecology.

Remington J Moll, Jeremiah T Eaton, Jonathon D Cepek, Patrick D Lorch, Patricia M Dennis, Terry Robison, Jean Tsao, Robert A Montgomery

Abstract read
PubMed Publisher
In one paragraph

Article in Oecologia, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% of its field
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

8 citing papers in PubMed, 23 citations in OpenAlex.

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  8. Temporal scale and conspecific density drive moonlight preferences of a nocturnal granivore.Behavioral ecology : official journal of the International Society for Behavioral Ecology
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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

8 authors at 3 institutions in 1 country.

Remington J MollDepartment of Fisheries and Wildlife, Michigan State University, 480 Wilson Road, Room 13 Natural Resources Building, East Lansing, MI, 48824, USA. rjmoll@msu.edu.ORCID http://orcid.org/0000-0002-0681-2646
Jeremiah T EatonDepartment of Fisheries and Wildlife, Michigan State University, 480 Wilson Road, Room 13 Natural Resources Building, East Lansing, MI, 48824, USA.
Jonathon D CepekNatural Resources, Cleveland Metroparks, 9485 Eastland Road, Strongsville, OH, 44149, USA.
Patrick D LorchNatural Resources, Cleveland Metroparks, 2277 West Ridgewood Drive, Parma, OH, 44134, USA.
Patricia M DennisConservation and Science, Cleveland Metroparks Zoo, 3900 Wildlife Way, Cleveland, OH, 44109, USA.
Terry RobisonNatural Resources, Cleveland Metroparks, 2277 West Ridgewood Drive, Parma, OH, 44134, USA.
Jean TsaoDepartment of Fisheries and Wildlife, Michigan State University, 480 Wilson Road, Room 13 Natural Resources Building, East Lansing, MI, 48824, USA.
Robert A MontgomeryDepartment of Fisheries and Wildlife, Michigan State University, 480 Wilson Road, Room 13 Natural Resources Building, East Lansing, MI, 48824, USA.
Michigan Department of Natural Resources · USCleveland Metroparks · USCleveland Metroparks Zoo · US

Funding

Michigan State University HymenMichigan State University Miriam Stein ScholarshipMichigan State University (US) Joseph Laurence Maison FellowshipsMichigan State University (US) University DistinguishedNational Science Foundation (US) Graduate Research Fellowship
6 · The paper itself

Abstract

Prey modify their behavior in response to variation in predation risk, and such modifications can affect trophic processes such as disease transmission. However, variation in predation risk is complex, arising from direct risk from the predator itself and indirect risk due to the environment. Moreover, direct risk typically stems from multiple predators and varies over timescales (e.g., a predator nearby vs. its seasonal activities). We implemented a field-based experiment to disentangle these sources of risk and relate them to antipredator behavior in rodents. We modeled rodent occurrence and activity as a function of short- and long-term risk from a primary predator, red foxes (Vulpes vulpes), long-term risk from a second predator, coyotes (Canis latrans), and environmental variables. We found that long-term red fox activity strongly reduced rodent occurrence and that cues of nearby red fox presence decreased rodent activity by > 50%. In addition, this activity reduction was dynamic in that varied according to the background level of long-term red fox activity. Importantly, rodents did not respond to environmental variables (moonlight, temperature, and habitat) or long-term coyote activity. These results bear upon recent work that suggests predators can alter tick-borne disease dynamics via induced antipredator behavior of rodents, which are hosts for pathogens and ticks. Specifically, our study corroborates the hypothesis that red foxes act as important proximal agents in regulating tick-borne diseases by reducing rodent activity. More generally, this study highlights the need to consider the dynamic nature of prey antipredator response across landscapes with variable long-term predation risk.

Indexed as

Predatory BehaviorRodentiaAnimalsCoyotesEcologyEcosystemFoxesAntipredator behaviorLyme diseasePredation riskRisk allocationTrophic interactions

Identifiers

PMID31813024
OpenAlexW2992509441

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.