Evidence map›Paper›PMID 33469694›Full record

ArticleEnvironmental management2021

Potential Movement Corridors and High Road-Kill Likelihood do not Spatially Coincide for Felids in Brazil: Implications for Road Mitigation.

Rafaela Cobucci Cerqueira, Paul B Leonard, Lucas Gonçalves da Silva, Alex Bager, Anthony P Clevenger, Jochen A G Jaeger, Clara Grilo

Abstract read
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In one paragraph

Article in Environmental management, 2021. 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.

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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

7 authors.

Rafaela Cobucci CerqueiraDepartamento de Biologia, Universidade Federal de Lavras, Campus Universitário, PO Box 3037, Lavras, Minas Gerais, CEP 37200-000, Brazil. rafaelacobucicerqueira@gmail.com.ORCID http://orcid.org/0000-0002-1535-4093
Paul B LeonardU.S. Fish & Wildlife Service, Science Applications, 101 12th Avenue, Fairbanks, AK, 99701, USA.ORCID http://orcid.org/0000-0001-8032-7449
Lucas Gonçalves da SilvaCentro UnB Cerrado, Universidade de Brasília, Campus Universitário Darcy Ribeiro, Asa Norte, Brasília, DF, CEP 70910-900, Brazil.ORCID http://orcid.org/0000-0002-7993-9015
Alex BagerDepartamento de Biologia, Universidade Federal de Lavras, Campus Universitário, PO Box 3037, Lavras, Minas Gerais, CEP 37200-000, Brazil.ORCID http://orcid.org/0000-0002-6143-0413
Anthony P ClevengerWestern Transportation Institute, Montana State University, PO Box 174250, Bozeman, MT, USA.ORCID http://orcid.org/0000-0003-0380-6272
Jochen A G JaegerDepartment of Geography, Planning and Environment, Concordia University Montreal, 1455 de Maisonneuve Blvd. W., Suite H1255, Montreal, QC, H3G 1M8, Canada.ORCID http://orcid.org/0000-0002-3852-848X
Clara GriloDepartamento de Biologia, Universidade Federal de Lavras, Campus Universitário, PO Box 3037, Lavras, Minas Gerais, CEP 37200-000, Brazil.ORCID http://orcid.org/0000-0001-9870-3115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The negative effects of roads on wildlife populations are a growing concern. Movement corridors and road-kill data are typically used to prioritize road segments for mitigation measures. Some research suggests that locations where animals move across roads following corridors coincide with locations where they are often killed by vehicles. Other research indicates that corridors and road-kill rarely occur in the same locations. We compared movement corridor and road mortality models as means of prioritizing road segments for mitigation for five species of felids in Brazil: tiger cats (Leopardus tigrinus and Leopardus guttulus were analyzed together), ocelot (Leopardus pardalis), jaguarundi (Herpailurus yagouaroundi), and puma (Puma concolor). We used occurrence data for each species and applied circuit theory to identify potential movement corridors crossed by roads. We used road-kill records for each species and applied maximum entropy to determine where mortality was most likely to occur on roads. Our findings suggest that movement corridors and high road mortality are not spatially associated. We suggest that differences in the behavioral state of the individuals in the species occurrence and road-kill data may explain these results. We recommend that the road segments for which the results from the two methods agree (~5300 km for all studied species combined at 95th percentile) should be high-priority candidates for mitigation together with road segments identified by at least one method in areas where felids occur in low population densities or are threatened by isolation effects.

Indexed as

FelidaePumaAnimalsAnimals, WildBrazilCatsPopulation DensityCircuit theoryConnectivityHabitat suitabilityRoad mortalityWildlife

Identifiers

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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.