Evidence map›Paper›PMID 31881935›Full record

ArticleBMC genetics2019

Population genetic structure and habitat connectivity for jaguar (Panthera onca) conservation in Central Belize.

Angelica Menchaca, Natalia A Rossi, Jeremy Froidevaux, Isabela Dias-Freedman, Anthony Caragiulo, Claudia Wultsch, Bart Harmsen, Rebecca Foster, J Antonio de la Torre, Rodrigo A Medellin and 2 more

Open access · diamondAbstract read
In one paragraph

Article in BMC genetics, 2019. 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
2.4field-weighted citation impact, top 11% 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

4 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
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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

12 authors at 7 institutions in 5 countries.

Angelica MenchacaSchool of Biological Sciences, the University of Bristol, Bristol, UK. angelica.menchaca@bristol.ac.uk.ORCID 0000-0002-6671-7026
Natalia A RossiSackler Institute for Comparative Genomics, American Museum of Natural History, New York City, USA.
Jeremy FroidevauxSchool of Biological Sciences, the University of Bristol, Bristol, UK.
Isabela Dias-FreedmanColumbia University in the City of New York, New York City, USA.
Anthony CaragiuloSackler Institute for Comparative Genomics, American Museum of Natural History, New York City, USA.
Claudia WultschSackler Institute for Comparative Genomics, American Museum of Natural History, New York City, USA.
Bart HarmsenPanthera, New York City, USA.
Rebecca FosterPanthera, New York City, USA.
J Antonio de la TorreSchool of Environmental and Geographical Sciences, University of Nottingham Malaysia, Semenyih, Malaysia.
Rodrigo A MedellinInstituto de Ecologia, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico.
Salisa RabinowitzSackler Institute for Comparative Genomics, American Museum of Natural History, New York City, USA.
George AmatoSackler Institute for Comparative Genomics, American Museum of Natural History, New York City, USA. gamato@amnh.org.
American Museum of Natural History · USPanthera Corporation · USCity University of Seattle · USInstituto de Ecología · MXUniversity of Bristol · GBUniversity of Nottingham Malaysia Campus · MYWildlife Conservation Society · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConnectivity among jaguar (Panthera onca) populations will ensure natural gene flow and the long-term survival of the species throughout its range. Jaguar conservation efforts have focused primarily on connecting suitable habitat in a broad-scale. Accelerated habitat reduction, human-wildlife conflict, limited funding, and the complexity of jaguar behaviour have proven challenging to maintain connectivity between populations effectively. Here, we used non-invasive genetic sampling and individual-based conservation genetic analyses to assess genetic diversity and levels of genetic connectivity between individuals in the Cockscomb Basin Wildlife Sanctuary and the Maya Forest Corridor. We used expert knowledge and scientific literature to develop models of landscape permeability based on circuit theory with fine-scale landscape features as ecosystem types, distance to human settlements and roads to predict the most probable jaguar movement across central Belize.

resultsWe used 12 highly polymorphic microsatellite loci to identify 50 individual jaguars. We detected high levels of genetic diversity across loci (H

conclusionsThe results of our study demonstrate high levels of relatively recent gene flow for jaguars between two study sites in central Belize. Our landscape analysis detected corridors of expected jaguar movement between the Cockscomb Basin Wildlife Sanctuary and the Maya Forest Corridor. We highlight the importance of maintaining already established corridors and consolidating new areas that further promote jaguar movement across suitable habitat beyond the boundaries of currently protected areas. Continued conservation efforts within identified corridors will further maintain and increase genetic connectivity in central Belize.

Indexed as

Genetic VariationAnimalsBelizeConservation of Natural ResourcesEcosystemEvolution, MolecularGene FlowGenetics, PopulationMicrosatellite RepeatsPantheraConservation geneticsFelidaeFunctional habitat connectivityJaguarLandscape permeabilityPopulation structure

Identifiers

PMID31881935
PMCPMC6933898
OpenAlexW2998673825

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.