Evidence map›Paper›PMID 40605762›Full record

ArticleConservation biology : the journal of the Society for Conservation Biology2025

Importance of connectivity for carnivore richness and occupancy in fragmented biodiversity hotspots.

Cindy M Hurtado, Gonçalo Curveira-Santos, Alvaro Garcia-Olaechea, Robyn Appleton, Cristian Barros-Diaz, Txomin Hermosilla, Diego J Lizcano, Jaime Salas, Diego Balbuena, Zoila Vega-Guarderas and 3 more

Abstract read
In one paragraph

Article in Conservation biology : the journal of the Society for Conservation Biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Importance of connectivity for carnivore richness and occupancy in fragmented biodiversity hotspots.Conservation biology : the journal of the Society for Conservation Biology · 2025
    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

13 authors.

Cindy M HurtadoDepartment of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-7958-236X
Gonçalo Curveira-SantosDepartment of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada.
Alvaro Garcia-OlaecheaCentro de Investigación Biodiversidad Sostenible - BioS, Piura, Peru.
Robyn AppletonDepartment of Forest and Conservation Sciences, University of British Columbia, Vancouver, British Columbia, Canada.
Cristian Barros-DiazFundación para la Conservación e Investigación JaPu, Guayaquil, Ecuador.
Txomin HermosillaCanadian Forest Service (Pacific Forestry Centre), Natural Resources Canada, Victoria, British Columbia, Canada.
Diego J LizcanoUniversidad Laica Eloy Alfaro de Manabi, Manta, Ecuador.
Jaime SalasUniversidad Espiritu Santo, Samborondon, Ecuador.ORCID 0000-0003-3468-5178
Diego BalbuenaNorth Carolina Museum of Natural Sciences, Raleigh, North Carolina, USA.
Zoila Vega-GuarderasCentro de Investigación Biodiversidad Sostenible - BioS, Piura, Peru.
Ana Benítez-LópezDepartment of Zoology, Faculty of Sciences, University of Granada, Granada, Spain.
Angela BrennanConservation Science Partners, Inc., Truckee, California, USA.
A Cole BurtonDepartment of Forest Resources Management, University of British Columbia, Vancouver, British Columbia, Canada.ORCID 0000-0002-8799-3847

Funding

Canada Research Chairs 950-231654Consejo Nacional de Ciencia, Technología e Innovación Technológical (National Council of Science and Technology and Innovation of Peru) 240-2018University of British Columbia
6 · The paper itself

Abstract

Structural connectivity affects wildlife movement between habitat patches, contributing to the persistence of wildlife populations and their resilience to human-induced and environmental changes. However, its importance to wildlife population persistence remains unclear, particularly in fragmented landscapes, where there are additional co-occurring threats and varying protected area coverage (PAC). Using South American carnivore assemblages and fragmented tropical forests as a case study, we assessed the relative effect of structural connectivity on carnivore persistence in fragmented landscapes after accounting for PAC, and the efficacy of single-species connectivity approaches for protecting the habitat of multiple species. We applied a multiscale Bayesian modeling framework to camera-trapping data from 567 cameras in 23 landscapes in the Tumbesian region of Ecuador and Peru. We tested the landscape-scale effects of habitat amount, connectivity, human density, and protected area status on carnivore richness and mean occupancy and the fine-scale effects of forest cover, distance to roads, and hunting on carnivore site occupancy. In 41,861 camera days of sampling, we obtained 5267 independent detections of 12 carnivores across all landscapes. Connectivity, habitat amount, and PAC had a positive effect on carnivore richness, emphasizing that large and well-connected landscapes of natural habitat with greater PAC sustain more species-rich carnivore communities. Mean site occupancy across the carnivore community was positively associated with forest cover at the fine scale and connectivity at the landscape scale. This last relationship varied by species, with occupancy of forest-dependent mesocarnivores being most positively associated with higher connectivity. Our results highlight that increasing connectivity can improve the persistence of vulnerable carnivore populations, even in landscapes with varied amount of PAC. Furthermore, conservation planning to increase connectivity should take a multispecies approach because single-species approaches are unlikely to meet the needs of diverse communities.

Indexed as

BiodiversityCarnivoraConservation of Natural ResourcesAnimalsBayes TheoremEcosystemEcuadorForestsPeruáreas protegidascámara trampacamera trapcarnivore conservationconservación de carnívorosconservation planningecología del paisajelandscape ecologymodelo de ocupaciónoccupancy modelplaneación de la conservaciónprotected areasRegión TumbesinaTumbesian regionTumbesian地区保护地保护规划关键词: 红外相机占域模型景观生态学食肉动物保护

Identifiers

PMID40605762
PMCPMC12658950

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.