Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor

Noninvasive camera-traps are commonly used to survey mammal communities in the Neotropics. This study used camera-traps to survey medium and large mammal diversity in the San Juan - La Selva Biological Corridor, Costa Rica. The connectivity of the corridor is affected by the spread of large-scale agriculture, cattle ranching, and a growing human presence. An occupancy modeling approach was used to estimate corridor species richness and species-specific detection probabilities in 16 forested sites within four different matrix-use categories: eco-lodge reserves, tree plantations/general reforestation, cattle ranches, and pineapple/agricultural plantations. Rarity had a highly negative effect (β = -1.96 ± 0.65 SE) on the ability to detect species presence. Corridor richness was estimated at 20.4 ± 0.66 species and was lower than that observed in protected areas in the Neotropics. Forest cover was significantly less at pineapple plantations than other land-use matrices. Richness estimates for different land-use matrices were highly variable with no significant differences; however, pineapple plantations exhibited the highest observed richness. Given the limited forest cover at those sites, we believe that this reflects the concentrated occurrence of medium and large mammals in small forest patches, particularly because the majority of pineapple plantation communities were generalist mesopredators. Fragmentation and connectivity will need to be addressed with reforestation and limitations on pineapple production for the region to function as an effective corridor. Occupancy modeling has only recently been applied to camera-trap data and our results suggest that this approach provides robust richness and detection probability estimates and should be further explored.

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Main Authors: Spínola, Romeo, Cove, Michael, Jackson, Victoria L., Sáenz, Joel C., Chassot, Olivier
Format: http://purl.org/coar/resource_type/c_6501 biblioteca
Language:eng
Published: Tropical Conservation Science 2013-12-01
Subjects:MAMIFEROS, CORREDOR BIOLOGICO MESOAMERICANO, MONITOREO BIOLOGICO, SARAPIQUÍ (HEREDIA), BIOLOGICAL MONITORING, MAMMALS, MESOAMERICAN BIOLOGICAL CORRIDOR,
Online Access:http://hdl.handle.net/11056/17876
https://doi.org/10.1177%2F194008291300600606
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id oai:https:--repositorio.una.ac.cr:11056-17876
record_format koha
institution UNA CR
collection DSpace
country Costa Rica
countrycode CR
component Bibliográfico
access En linea
databasecode dig-una-cr
tag biblioteca
region America Central
libraryname Biblioteca de la Facultad de Ciencias de la Tierra y el Mar de la UNA CR
language eng
topic MAMIFEROS
CORREDOR BIOLOGICO MESOAMERICANO
MONITOREO BIOLOGICO
SARAPIQUÍ (HEREDIA)
BIOLOGICAL MONITORING
MAMMALS
MESOAMERICAN BIOLOGICAL CORRIDOR
MAMIFEROS
CORREDOR BIOLOGICO MESOAMERICANO
MONITOREO BIOLOGICO
SARAPIQUÍ (HEREDIA)
BIOLOGICAL MONITORING
MAMMALS
MESOAMERICAN BIOLOGICAL CORRIDOR
spellingShingle MAMIFEROS
CORREDOR BIOLOGICO MESOAMERICANO
MONITOREO BIOLOGICO
SARAPIQUÍ (HEREDIA)
BIOLOGICAL MONITORING
MAMMALS
MESOAMERICAN BIOLOGICAL CORRIDOR
MAMIFEROS
CORREDOR BIOLOGICO MESOAMERICANO
MONITOREO BIOLOGICO
SARAPIQUÍ (HEREDIA)
BIOLOGICAL MONITORING
MAMMALS
MESOAMERICAN BIOLOGICAL CORRIDOR
Spínola, Romeo
Cove, Michael
Jackson, Victoria L.
Sáenz, Joel C.
Chassot, Olivier
Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
description Noninvasive camera-traps are commonly used to survey mammal communities in the Neotropics. This study used camera-traps to survey medium and large mammal diversity in the San Juan - La Selva Biological Corridor, Costa Rica. The connectivity of the corridor is affected by the spread of large-scale agriculture, cattle ranching, and a growing human presence. An occupancy modeling approach was used to estimate corridor species richness and species-specific detection probabilities in 16 forested sites within four different matrix-use categories: eco-lodge reserves, tree plantations/general reforestation, cattle ranches, and pineapple/agricultural plantations. Rarity had a highly negative effect (β = -1.96 ± 0.65 SE) on the ability to detect species presence. Corridor richness was estimated at 20.4 ± 0.66 species and was lower than that observed in protected areas in the Neotropics. Forest cover was significantly less at pineapple plantations than other land-use matrices. Richness estimates for different land-use matrices were highly variable with no significant differences; however, pineapple plantations exhibited the highest observed richness. Given the limited forest cover at those sites, we believe that this reflects the concentrated occurrence of medium and large mammals in small forest patches, particularly because the majority of pineapple plantation communities were generalist mesopredators. Fragmentation and connectivity will need to be addressed with reforestation and limitations on pineapple production for the region to function as an effective corridor. Occupancy modeling has only recently been applied to camera-trap data and our results suggest that this approach provides robust richness and detection probability estimates and should be further explored.
format http://purl.org/coar/resource_type/c_6501
topic_facet MAMIFEROS
CORREDOR BIOLOGICO MESOAMERICANO
MONITOREO BIOLOGICO
SARAPIQUÍ (HEREDIA)
BIOLOGICAL MONITORING
MAMMALS
MESOAMERICAN BIOLOGICAL CORRIDOR
author Spínola, Romeo
Cove, Michael
Jackson, Victoria L.
Sáenz, Joel C.
Chassot, Olivier
author_facet Spínola, Romeo
Cove, Michael
Jackson, Victoria L.
Sáenz, Joel C.
Chassot, Olivier
author_sort Spínola, Romeo
title Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
title_short Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
title_full Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
title_fullStr Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
title_full_unstemmed Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor
title_sort integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a central american biological corridor
publisher Tropical Conservation Science
publishDate 2013-12-01
url http://hdl.handle.net/11056/17876
https://doi.org/10.1177%2F194008291300600606
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AT covemichael integratingoccupancymodelingandcameratrapdatatoestimatemediumandlargemammaldetectionandrichnessinacentralamericanbiologicalcorridor
AT jacksonvictorial integratingoccupancymodelingandcameratrapdatatoestimatemediumandlargemammaldetectionandrichnessinacentralamericanbiologicalcorridor
AT saenzjoelc integratingoccupancymodelingandcameratrapdatatoestimatemediumandlargemammaldetectionandrichnessinacentralamericanbiologicalcorridor
AT chassotolivier integratingoccupancymodelingandcameratrapdatatoestimatemediumandlargemammaldetectionandrichnessinacentralamericanbiologicalcorridor
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spelling oai:https:--repositorio.una.ac.cr:11056-178762021-11-23T19:24:44Z Integrating occupancy modeling and camera-trap data to estimate medium and large mammal detection and richness in a Central American biological corridor Spínola, Romeo Cove, Michael Jackson, Victoria L. Sáenz, Joel C. Chassot, Olivier MAMIFEROS CORREDOR BIOLOGICO MESOAMERICANO MONITOREO BIOLOGICO SARAPIQUÍ (HEREDIA) BIOLOGICAL MONITORING MAMMALS MESOAMERICAN BIOLOGICAL CORRIDOR Noninvasive camera-traps are commonly used to survey mammal communities in the Neotropics. This study used camera-traps to survey medium and large mammal diversity in the San Juan - La Selva Biological Corridor, Costa Rica. The connectivity of the corridor is affected by the spread of large-scale agriculture, cattle ranching, and a growing human presence. An occupancy modeling approach was used to estimate corridor species richness and species-specific detection probabilities in 16 forested sites within four different matrix-use categories: eco-lodge reserves, tree plantations/general reforestation, cattle ranches, and pineapple/agricultural plantations. Rarity had a highly negative effect (β = -1.96 ± 0.65 SE) on the ability to detect species presence. Corridor richness was estimated at 20.4 ± 0.66 species and was lower than that observed in protected areas in the Neotropics. Forest cover was significantly less at pineapple plantations than other land-use matrices. Richness estimates for different land-use matrices were highly variable with no significant differences; however, pineapple plantations exhibited the highest observed richness. Given the limited forest cover at those sites, we believe that this reflects the concentrated occurrence of medium and large mammals in small forest patches, particularly because the majority of pineapple plantation communities were generalist mesopredators. Fragmentation and connectivity will need to be addressed with reforestation and limitations on pineapple production for the region to function as an effective corridor. Occupancy modeling has only recently been applied to camera-trap data and our results suggest that this approach provides robust richness and detection probability estimates and should be further explored. Càmaras-trampa no invasivas son comúnmente utilizadas para estudiar las comunidades de mamíferos en los Neotrópicos. En éste estudio se utilizaron càmaras-trampa para estudiar la diversidad de mamíferos de tamaños medianos y grandes en el Corredor Biológico San Juan - La Selva en Costa Rica. La conectividad del corredor se ve afectada por la expansión de la agricultura a gran escala, la ganadería y continuo crecimiento poblacional humano. Se desarrolló un modelo de ocupación para estimar la riqueza de especies y especies específicas para el corredor, con probabilidades de detección en 16 localizaciones forestales en cuatro diferentes categorías de uso de la matriz: reservas eco-lodge, plantaciones de àrboles / reforestación general, ranchos ganaderos y piñas / plantaciones agrícolas. Rareza tenía un efecto altamente negativo (β = −1,96 ± 0,65 SE) en la capacidad de detectar la presencia de especies. La riqueza de especies en el corredor se estimó en 20,4 ± 0,66 especies y fue menor que la observada en las àreas protegidas en los Neotrópicos. La cubierta forestal fue significativamente menor en las plantaciones de piña que en otras matrices de uso de suelo. Las estimaciones de riqueza para matrices diferentes de uso del suelo fueron muy variables sin diferencias significativas. Sin embargo, las plantaciones de piña exhibieron la mayor riqueza de especies observadas. Dada a la cobertura forestal limitada en estos sitios, consideramos que lo antes mencionado refleja una incidencia concentrada de mamíferos medianos y grandes en pequeños parches de bosque, sobre todo porque la mayoría de las comunidades de las plantaciones de piña sumaron mesodepredadores generalistas. Por esta razón, tendràn que ser abordados con la reforestación y las limitaciones de la producción de piña para que la región bajo estudio pueda funcionar como un corredor eficaz. Modelos de ocupación se han aplicado recientemente a los datos de la càmara-trampa y nuestros resultados sugieren que éste enfoque proporciona un estimado robusto de riqueza de especies y sólida probabilidad de detección, lo cual propone estudiarse a cabalidad en el futuro. Universidad Nacional, Costa Rica University of Central Missouri, USA Selva Verde Lodge, Costa Rica Centro Científico Tropical, Costa Rica Instituto Internacional en Conservación y Manejo de Vida Silvestre 2020-08-12T17:19:57Z 2020-08-12T17:19:57Z 2013-12-01 http://purl.org/coar/resource_type/c_6501 http://hdl.handle.net/11056/17876 https://doi.org/10.1177%2F194008291300600606 eng Acceso abierto https://creativecommons.org/licenses/by/3.0/us/ application/pdf Tropical Conservation Science Tropical Conservation Science vol.6 núm. 6 781-795 2013