Results 21 to 30 of about 4,407 (204)

ipsecr: An R package for awkward spatial capture–recapture data

Methods in Ecology and Evolution, 2023
Some capture–recapture models for population estimation cannot easily be fitted by the usual methods (maximum likelihood and Markov‐chain Monte Carlo).
Murray G. Efford
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Integrating telemetry data at several scales with spatial capture–recapture to improve density estimates

Ecosphere, 2021
Accurate population estimates are essential for monitoring and managing wildlife populations. Mark–recapture sampling methods have regularly been used to estimate population parameters for rare and cryptic species, including the federally listed Mojave ...
Corey I. Mitchell, Kevin T. Shoemaker, Todd C. Esque, Amy G. Vandergast, Steven J. Hromada, Kirsten E. Dutcher, Jill S. Heaton, Kenneth E. Nussear   +7 more
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Correction: Trap Configuration and Spacing Influences Parameter Estimates in Spatial Capture-Recapture Models. [PDF]

PLoS ONE, 2015
Catherine C Sun, Angela K Fuller, J Andrew Royle   +2 more
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A Comparison of Grizzly Bear Demographic Parameters Estimated from Non-Spatial and Spatial Open Population Capture-Recapture Models.

PLoS ONE, 2015
Capture-recapture studies are frequently used to monitor the status and trends of wildlife populations. Detection histories from individual animals are used to estimate probability of detection and abundance or density.
Jesse Whittington, Michael A Sawaya
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How does spatial study design influence density estimates from spatial capture-recapture models? [PDF]

PLoS ONE, 2012
When estimating population density from data collected on non-invasive detector arrays, recently developed spatial capture-recapture (SCR) models present an advance over non-spatial models by accounting for individual movement.
Rahel Sollmann, Beth Gardner, Jerrold L Belant   +2 more
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Face Value: Towards Robust Estimates of Snow Leopard Densities. [PDF]

PLoS ONE, 2015
When densities of large carnivores fall below certain thresholds, dramatic ecological effects can follow, leading to oversimplified ecosystems. Understanding the population status of such species remains a major challenge as they occur in low densities ...
Justine S Alexander, Arjun M Gopalaswamy, Kun Shi, Philip Riordan   +3 more
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Estimating Wildlife Density as a Function of Environmental Heterogeneity Using Unmarked Data

Remote Sensing, 2022
Recent developments to spatial-capture recapture models have allowed their use on species whose members are not uniquely identifiable from photographs by including individual identity as a latent, unobserved variable in the model.
Thomas Connor, Wildlife Division, Emilio Tripp, William T. Bean, B. J. Saxon, Jessica Camarena, Asa Donahue, Daniel Sarna-Wojcicki, Luke Macaulay, William Tripp, Justin Brashares   +10 more
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A new method for estimating under-recruitment of a patient registry: a case study with the Ohio Registry of Amyotrophic Lateral Sclerosis

Scientific Reports, 2022
We developed a disease registry to collect all incident amyotrophic lateral sclerosis (ALS) cases diagnosed during 2016–2018 in Ohio. Due to incomplete case ascertainment and limitations of the traditional capture-recapture method, we proposed a new ...
Meifang Li, Xun Shi, Jiang Gui, Chao Song, Angeline S. Andrew, Erik P. Pioro, Elijah W. Stommel, Maeve Tischbein, Walter G. Bradley   +8 more
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Best practices for reporting individual identification using camera trap photographs

Global Ecology and Conservation, 2020
Camera traps have become a popular sampling tool in ecological studies. This is especially true for studies that estimate population densities through spatial capture-recapture models of species with physical traits allowing individual identification ...
Yan Ru Choo, Enoka P. Kudavidanage, Thakshila Ravindra Amarasinghe, Thilina Nimalrathna, Marcus A.H. Chua, Edward L. Webb   +5 more
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Jaguar (Panthera onca) population density and landscape connectivity in a deforestation hotspot: The Paraguayan Dry Chaco as a case study

Perspectives in Ecology and Conservation, 2022
The distribution of the jaguar has decreased by approximately 50% with its conservation highly dependent upon its persistence and mobility in anthropogenic landscapes.
Jeffrey J. Thompson, Marianela Velilla, Hugo Cabral, Nicolás Cantero, Viviana Rojas Bonzi, Evelyn Britez, Juan M. Campos Krauer, Roy T. McBride, Jr., Rodrigo Ayala, José Luis Cartes   +9 more
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