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Rahel Sollmann
Researcher at University of California, Davis
Publications - 122
Citations - 4336
Rahel Sollmann is an academic researcher from University of California, Davis. The author has contributed to research in topics: Population & Biodiversity. The author has an hindex of 28, co-authored 111 publications receiving 3377 citations. Previous affiliations of Rahel Sollmann include Jaguar Conservation Fund & Leibniz Association.
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Book
Spatial Capture-Recapture
TL;DR: Spatial Capture-Recapture provides a comprehensive how-to manual with detailed examples of spatial capture-recapture models based on current technology and knowledge, which makes this the first and only book on the topic.
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camtrapR: an R package for efficient camera trap data management
TL;DR: The free and open‐source R package camtrapR is described, a new toolbox for flexible and efficient management of data generated in camera trap‐based wildlife studies and should be most useful to researchers and practitioners who regularly handle large amounts of camera trapping data.
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Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil
Rahel Sollmann,Rahel Sollmann,Mariana Malzoni Furtado,Mariana Malzoni Furtado,Beth Gardner,Heribert Hofer,Anah Tereza de Almeida Jácomo,Natália Mundim Tôrres,Natália Mundim Tôrres,Leandro Silveira +9 more
TL;DR: In this paper, the authors used camera trapping data and spatially explicit capture-recapture models to estimate jaguar density in Emas National Park in the central Brazilian Cerrado grassland, an ecological hotspot of international importance.
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Risky business or simple solution – Relative abundance indices from camera-trapping
TL;DR: In this paper, a simulation study and empirical camera-trapping data were used to illustrate how ecological and sampling-related factors can bias relative abundance indices (RAI, number of records per trap effort), although these do not account for imperfect and variable detection.
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How Does Spatial Study Design Influence Density Estimates from Spatial Capture-Recapture Models?
TL;DR: This study analysed black bear data collected with 123 hair snares with an SCR model accounting for differences in detection and movement between sexes and across the trapping occasions and found that results were similar across trap arrays, except when only 20% of the array was used.