Results 261 to 270 of about 3,341,277 (327)
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Inferring species interactions through joint mark–recapture analysis
Ecology, 2018AbstractIntroduced species are frequently implicated in declines of native species. In many cases, however, evidence linking introduced species to native declines is weak. Failure to make strong inferences regarding the role of introduced species can hamper attempts to predict population viability and delay effective management responses.
Josh Korman, Michael D Yard
exaly +4 more sources
Fifty years of tagging skates (Rajidae): using mark-recapture data to evaluate stock units
Journal of the Marine Biological Association of the United Kingdom, 2019Despite increased focus on ascertaining the status of elasmobranch fish, the stock units for many species are uncertain. Data from mark-recapture tagging studies undertaken from 1959–2017 were analysed for 13 batoid species.
C. Bird +4 more
semanticscholar +1 more source
Point-Based Mark-Recapture Distance Sampling
Journal of Agricultural, Biological, and Environmental Statistics, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Laake, J. L. +3 more
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Persistence models for mark-recapture
Environmental and Ecological Statistics, 2008The stable of models available for analyzing mark-recapture data (Otis et al. Wild Momogr 66:135, 1978) includes those having behavioral characteristics, time variation, heterogeneity, along with combinations of those characteristics. This paper proposes use of a series of models based on the persistence model of Ramsey and Usner (Biometrics 59:331–339,
Fred L. Ramsey, Paul M. Severns
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Advances in Applied Probability, 1984
The interpretation of mark-recapture data depends on a probabilistic model for the biological system. The assumptions of the general model must be verified against what is known about the particular system. This talk considers the application of markrecapture methods to the estimation of salmon smolt migrations from Babine Lake, British Columbia.
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The interpretation of mark-recapture data depends on a probabilistic model for the biological system. The assumptions of the general model must be verified against what is known about the particular system. This talk considers the application of markrecapture methods to the estimation of salmon smolt migrations from Babine Lake, British Columbia.
openaire +1 more source
2002
With data from one survey only, we can’t estimate abundance without making strong assumptions about capture probability. In the case of plot surveys, we assume we know it, and with distance sampling methods (Chapter 7) we assume “capture” is certain on the line or point. Depending on the application, these assumptions may be quite reasonable; when they
D. L. Borchers +2 more
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With data from one survey only, we can’t estimate abundance without making strong assumptions about capture probability. In the case of plot surveys, we assume we know it, and with distance sampling methods (Chapter 7) we assume “capture” is certain on the line or point. Depending on the application, these assumptions may be quite reasonable; when they
D. L. Borchers +2 more
openaire +1 more source
Parsimonious Modelling of Capture-Mark-Recapture Studies
Biometrics, 1985A general multinomial modelling approach is proposed for capture-mark- recapture data from an open animal population. Within this framework a number of plausible alternative assumptions are suggested for survival probabilities, ingress times, and capture probabilities.
Crosbie, S. F., Manly, B. F. J.
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Mark-Recapture Models for Line Transect Surveys
Biometrics, 1998Summary: One of the key assumptions of conventional line transect (LT) theory is that all animals in the observer's path are detected. When this assumption fails, simultaneous survey by two independent observers can be used to estimate detection probabilities and abundance.
Borchers, David L. +2 more
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2019
We consider two basic live-recapture models referred to as the CJS model (after Cormack–Jolly–Seber) that models the tagged data, and the JS model (after Jolly and Seber in Biometrika, 52:225–247, 1965), which also includes the untagged data. Likelihood methods as originally used are described, while Bayesian and random-effects methods have since been ...
George A. F. Seber, Matthew R. Schofield
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We consider two basic live-recapture models referred to as the CJS model (after Cormack–Jolly–Seber) that models the tagged data, and the JS model (after Jolly and Seber in Biometrika, 52:225–247, 1965), which also includes the untagged data. Likelihood methods as originally used are described, while Bayesian and random-effects methods have since been ...
George A. F. Seber, Matthew R. Schofield
openaire +1 more source
Multistate Mark-Recapture Model Selection Using Score Tests
Biometrics, 2010Although multistate mark-recapture models are recognized as important, they lack a simple model-selection procedure. This article proposes and evaluates a step-up approach to select appropriate models for multistate mark-recapture data using score tests.
McCrea, Rachel S., Morgan, Byron J. T.
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