&lt;b&gt;PAQUETE &lt;/b&gt; &lt;i&gt;camtrapR&lt;/i&gt;  &lt;b&gt;PARA GESTIONAR DATOS DE FOTO-TRAMPEO: APLICACIÓN EN LA RESERVA DE LA BIOSFERA TEHUACÁN-CUICATLÁN&lt;b&gt;

López-Tello, Eva; Mandujano, Salvador

doi:10.22201/ie.20074484e.2017.1.2.245

Cited by 4 publications

(2 citation statements)

References 20 publications

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“…The total sampling effort was 6025 trapping nights, with an average of 92.36 nights of operation per camera trap (minimum of 27 and maximum of 130 nights). The information obtained from the camera sampling was organized within the open‐access photo manager software DigiKam, where each species photographed was identified and labeled through the EXIF metadata of each image (López‐Tello & Mandujano, 2017). Subsequently, we used the “camtrapR” package (Niedballa et al., 2016) to organize and process the species records for each analysis.…”

Section: Methodsmentioning

confidence: 99%

A framework to interpret co‐occurrence patterns from camera trap data: The case of the gray fox, the bobcat, and the eastern cottontail rabbit in a tropical dry habitat

et al. 2022

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In mammals, ecological interactions are difficult to observe directly, so they are usually inferred from co‐occurrence data. Direct interpretation of co‐occurrence patterns can be complicated since they may be the result of different processes such as habitat selection. We propose a logical framework along with multispecies occupancy models, to distinguish which process or interaction of processes gives rise to co‐occurrence patterns. We also used temporal kernel density estimates to explore the overlap in diel activity patterns, and ecological knowledge of the species as a complement to explain the drivers that generate co‐occurrence. To test our framework, we analyzed three mammal species: the bobcat (Lynx rufus), the gray fox (Urocyon cinereoargenteus), and their potential prey, the eastern cottontail rabbit (Sylvilagus floridanus), in a tropical dry habitat at Tehuacán‐Cuicatlán Biosphere Reserve, Mexico. Data were collected across 67 camera trap stations that operated from February to August 2018. The best‐fitted model described the spatial interaction between U. cinereoargenteus and L. rufus with S. floridanus; in both cases, the occupancy probability of the predatory species was higher in the presence of their prey than in their absence. Additionally, the three species presented a high overlap in their temporal activity patterns. Based on the knowledge of the species' ecology and our results, we identified that trophic interactions could be an important process shaping the co‐occurrence patterns of these species. In short, our framework highlights that it is possible to discern among the processes that influence the co‐occurrence patterns for species with well‐defined ecological roles, such as in our study system.

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Section: Methodsmentioning

confidence: 99%

A framework to interpret co‐occurrence patterns from camera trap data: The case of the gray fox, the bobcat, and the eastern cottontail rabbit in a tropical dry habitat

et al. 2022

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“…El foto-trampeo permite obtener miles o decenas de miles de fotografías de especies que habitan en alguna región de estudio. Sin embargo, para un análisis eficiente de los datos es necesario un manejo organizado y sistemático de las fotografías obtenidas (Mandujano, 2017). Para este fin se han desarrollado distintos programas (Fegraus, 2011;Ivan y Newkirk, 2016;Krishnappa y Turner, 2014;Niedballa et al, 2016;Tobler, 2007).…”

Section: Revista Mexicana De Mastozoologíanueva éPoca Introducciónunclassified

SUGERENCIAS PARA ORGANIZAR, ADMINISTRAR Y EXPORTAR DATOS DE FOTO-TRAMPEO CON EL PROGRAMAWILD.ID

Mandujano

Morteo-Montiel

2018

RMM

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ResumenEl foto-trampeo es una técnica de monitoreo de fauna que permite de forma relativamente sencilla la obtención de cientos de miles de datos en formato de fotografía, pero que requiere de herramientas para organizar esta información. Para este fin se han creado programas y aplicaciones disponibles en internet. En este artículo se detalla los pasos principales para usar el programa Wild.ID el cual permite etiquetar y organizar fotos en un tiempo corto. Una vez instalado, el proceso consta de tres pasos: 1) crear un proyecto, 2) cargar las fotos y etiquetarlas con el nombre científico de las especies, y 3) generar archivos de salida en formato Excel y .csv los cuales pueden ser usados para analizar diferentes aspectos (riqueza de especies, ocupación y abundancia, captura-recaptura, patrones de actividad y otros) en otros programas y en paquetes R. Para ejemplificar el uso del programa, en este artículo se emplea una base de datos obtenidos de un proyecto de monitoreo de fauna en la Reserva de Biósfera Tehuacán-Cuicatlán.Palabras clave: cámaras-trampa, monitoreo, especies, etiquetar metadatos, gestión información, formatos exportables.AbstractThe photo-trapping is a growing method for wildlife monitoring since it allows obtaining hundreds of thousands of photos in a relatively simple way. Tools are required to manage this massive data in a simple way. For this purpose different programs and applications are available in internet. This article details the use of the Wild.ID program, which is easy to use; allow tagging and organizing many photos in a relatively short time. Once installed, the process consists of three steps: 1) create a project, 2) upload the photos and label them with the scientific name of the species, and 3) generate files in Excel and .csv formats which can be used to analyze different aspects (species richness, occupation and abundance, capture-recapture, activity patterns and others) in other programs and in R packages. To exemplify the use of this program, in this article is used a set of data obtained from a wildlife monitoring project in the Tehuacán-Cuicatlán Biosphere Reserve. Wild.ID can be downloaded freely and works on the most common operating systems.Key words: cameras-trap, monitoring, species, label metadata, information management, exportable formats.

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Occupancy Modeling Reveals That Landscape Scale Drives Habitat Use by White-Tailed Deer in the Tehuacán-Cuicatlán Biosphere Reserve, Mexico

Mandujano,

Andrade-Ponce,

Zavaleta

et al. 2023

Neotropical Mammals

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<b>PAQUETE </b> <i>camtrapR</i> <b>PARA GESTIONAR DATOS DE FOTO-TRAMPEO: APLICACIÓN EN LA RESERVA DE LA BIOSFERA TEHUACÁN-CUICATLÁN<b>

Cited by 4 publications

References 20 publications

A framework to interpret co‐occurrence patterns from camera trap data: The case of the gray fox, the bobcat, and the eastern cottontail rabbit in a tropical dry habitat

A framework to interpret co‐occurrence patterns from camera trap data: The case of the gray fox, the bobcat, and the eastern cottontail rabbit in a tropical dry habitat

<b>SUGERENCIAS PARA ORGANIZAR, ADMINISTRAR Y EXPORTAR DATOS DE FOTO-TRAMPEO CON EL PROGRAMA</b><i>WILD.ID</i></b>

Occupancy Modeling Reveals That Landscape Scale Drives Habitat Use by White-Tailed Deer in the Tehuacán-Cuicatlán Biosphere Reserve, Mexico

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