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Which bait should I use? Insights from a camera trap study in a highly diverse cerrado forest


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Título :
Which bait should I use? Insights from a camera trap study in a highly diverse cerrado forest
Autor :
Sebastián-González, Esther  
Morales-Reyes, Zebensui  
Naves Alegre, Lara  
dura alemañ, carlos javier  
Gonçalves Lima, Leilda
Machado Lima, Lourival
Sánchez Zapata, José Antonio  
Editor :
Universidad Miguel Hernández de Elche
Departamento:
Departamentos de la UMH::Biología Aplicada
Fecha de publicación:
2020-11-17
URI :
https://hdl.handle.net/11000/33969
Resumen :
Identifying the most appropriate bait for a camera trap study is an important step in sampling design, as some baits may perform better than others in attracting different animal species. In this study, we compare the vertebrate communities detected using five different widely used baits (i.e., fruit, sardines, valerian extract, a mix of sweet fruits and peanut butter, and a combination of valerian extract and sardines). We assess their performance and characterize the species best detected by each bait in the diverse Cerrado biome. We identified a total of 46 species of vertebrates: 15 mammals, 4 reptiles, and 27 birds. The baits differed in their estimates of community composition, richness, and abundance. In general, valerian extract detected fewer individuals and species than any of the other baits. Fruits detected the largest number of bird species. Sardines detected the largest number of species overall and were the best bait for felines and reptiles. Baits of an animal origin performed similarly to those of a plant origin. Our study shows that baits should be selected based on the objective of the study.
Palabras clave/Materias:
Attractant
Fruit
Lure
Peanut butter
Valerian extract
Área de conocimiento :
CDU: Ciencias puras y naturales: Biología
Tipo de documento :
info:eu-repo/semantics/article
Derechos de acceso:
info:eu-repo/semantics/closedAccess
DOI :
https://doi.org/10.1007/s10344-020-01439-1
Aparece en las colecciones:
Artículos Biología Aplicada



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