Predators, Prey and Habitat Structure: Can Key Conservation Areas and Early Signs of Population Collapse Be Detected in Neotropical Forests?

Tropical forests with a low human population and absence of large-scale deforestation provide unique opportunities to study successful conservation strategies, which should be based on adequate monitoring tools. This study explored the conservation status of a large predator, the jaguar, considered...

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Published inPloS one Vol. 11; no. 11; p. e0165362
Main Authors de Thoisy, Benoit, Fayad, Ibrahim, Clément, Luc, Barrioz, Sébastien, Poirier, Eddy, Gond, Valéry
Format Journal Article
LanguageEnglish
Published United States Public Library of Science 09.11.2016
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Abstract Tropical forests with a low human population and absence of large-scale deforestation provide unique opportunities to study successful conservation strategies, which should be based on adequate monitoring tools. This study explored the conservation status of a large predator, the jaguar, considered an indicator of the maintenance of how well ecological processes are maintained. We implemented an original integrative approach, exploring successive ecosystem status proxies, from habitats and responses to threats of predators and their prey, to canopy structure and forest biomass. Niche modeling allowed identification of more suitable habitats, significantly related to canopy height and forest biomass. Capture/recapture methods showed that jaguar density was higher in habitats identified as more suitable by the niche model. Surveys of ungulates, large rodents and birds also showed higher density where jaguars were more abundant. Although jaguar density does not allow early detection of overall vertebrate community collapse, a decrease in the abundance of large terrestrial birds was noted as good first evidence of disturbance. The most promising tool comes from easily acquired LiDAR data and radar images: a decrease in canopy roughness was closely associated with the disturbance of forests and associated decreasing vertebrate biomass. This mixed approach, focusing on an apex predator, ecological modeling and remote-sensing information, not only helps detect early population declines in large mammals, but is also useful to discuss the relevance of large predators as indicators and the efficiency of conservation measures. It can also be easily extrapolated and adapted in a timely manner, since important open-source data are increasingly available and relevant for large-scale and real-time monitoring of biodiversity.
AbstractList Tropical forests with a low human population and absence of large-scale deforestation provide unique opportunities to study successful conservation strategies, which should be based on adequate monitoring tools. This study explored the conservation status of a large predator, the jaguar, considered an indicator of the maintenance of how well ecological processes are maintained. We implemented an original integrative approach, exploring successive ecosystem status proxies, from habitats and responses to threats of predators and their prey, to canopy structure and forest biomass. Niche modeling allowed identification of more suitable habitats, significantly related to canopy height and forest biomass. Capture/recapture methods showed that jaguar density was higher in habitats identified as more suitable by the niche model. Surveys of ungulates, large rodents and birds also showed higher density where jaguars were more abundant. Although jaguar density does not allow early detection of overall vertebrate community collapse, a decrease in the abundance of large terrestrial birds was noted as good first evidence of disturbance. The most promising tool comes from easily acquired LiDAR data and radar images: a decrease in canopy roughness was closely associated with the disturbance of forests and associated decreasing vertebrate biomass. This mixed approach, focusing on an apex predator, ecological modeling and remote-sensing information, not only helps detect early population declines in large mammals, but is also useful to discuss the relevance of large predators as indicators and the efficiency of conservation measures. It can also be easily extrapolated and adapted in a timely manner, since important open-source data are increasingly available and relevant for large-scale and real-time monitoring of biodiversity.
Audience Academic
Author de Thoisy, Benoit
Poirier, Eddy
Barrioz, Sébastien
Clément, Luc
Gond, Valéry
Fayad, Ibrahim
AuthorAffiliation Università degli Studi di Napoli Federico II, ITALY
3 CIRAD, Forests and Societies unit, Montpellier, France
1 Kwata NGO, BP 972, Cayenne, French Guiana
2 IRSTEA, UMR TETIS, Montpellier, France
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2016 de Thoisy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Distributed under a Creative Commons Attribution 4.0 International License
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– notice: 2016 de Thoisy et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
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Issue 11
Keywords FORET
predation
remote sensing
HAUTEUR
TELEDETECTION
monitoring
forests
ESTIMATION
spatial modelling
assessment
MODELISATION SPATIALE
SURVEILLANCE
lidar
ZONE D'ENVIRONNEMENT PROTEGE
height
Language English
License Distributed under a Creative Commons Attribution 4.0 International License: http://creativecommons.org/licenses/by/4.0
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Competing Interests: The authors have declared that no competing interests exist.
Conceptualization: BdT. Formal analysis: BdT IF VG. Funding acquisition: BdT. Investigation: BdT IF LC SB EP VG. Methodology: BdT IF VG. Project administration: BdT. Resources: BdT IF VG. Software: IF VG. Supervision: BdT. Validation: BdT. Visualization: BdT. Writing – original draft: BdT. Writing – review & editing: BdT IF LC SB EP VG.
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Snippet Tropical forests with a low human population and absence of large-scale deforestation provide unique opportunities to study successful conservation strategies,...
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StartPage e0165362
SubjectTerms Air traffic control
Animal behavior
Animals
Biodiversity
Biology and Life Sciences
Biomass
Birds
Birds - physiology
Canopies
Capture-recapture studies
Collapse
Conservation
Conservation areas
Conservation of Natural Resources - methods
Conservation status
Data acquisition
Deforestation
Density
Disturbance
Ecological models
Ecology
Ecology and Environmental Sciences
Ecology, environment
Ecosystem
Ecosystems
Environmental conditions
Environmental Engineering
Environmental Sciences
Food Chain
Forest biomass
Forests
French Guiana
Geography
Habitats
Human populations
Humans
Identification methods
Image acquisition
Lidar
Life Sciences
Modelling
Models, Theoretical
Monitoring
Neural networks
Optical radar
Panthera - physiology
Panthera onca
Population
Population decline
Population Density
Population Dynamics
Predators
Predatory Behavior - physiology
Prey
Protection and preservation
Radar
Radar data
Radar imaging
Remote sensing
Rodentia - physiology
Rodents
Science
Terrestrial environments
Tropical Climate
Tropical forests
Ungulates
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Title Predators, Prey and Habitat Structure: Can Key Conservation Areas and Early Signs of Population Collapse Be Detected in Neotropical Forests?
URI https://www.ncbi.nlm.nih.gov/pubmed/27828993
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https://pubmed.ncbi.nlm.nih.gov/PMC5102489
https://doaj.org/article/5660a7663a1441cfa107c5fe88678fc5
http://dx.doi.org/10.1371/journal.pone.0165362
Volume 11
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