Results 11 to 20 of about 124 (75)

Estimating effective population size using close‐kin mark–recapture

open access: yesMethods in Ecology and Evolution
Close‐kin mark–recapture (CKMR) is a method that allows estimating population census size, among other parameters, through the observed number of pairs that are close‐kin including parent–offspring pairs (POPs) and half‐sibling pairs (HSPs).
Jonathan Babyn   +2 more
exaly   +3 more sources

Spatial close‐kin mark‐recapture models applied to terrestrial species with continuous natal dispersal

open access: yesMethods in Ecology and Evolution
Close‐kin mark–recapture (CKMR) methods use information on genetic relatedness among individuals to estimate demographic parameters. An individual's genotype can be considered a ‘recapture’ of each of its parent's genotype, and the frequency of kin‐pair ...
Anthony Sévêque, Robert C Lonsinger
exaly   +3 more sources

Assessing the suitability of a one‐time sampling event for close‐kin mark‐recapture: A caribou case study [PDF]

open access: yesEcology and Evolution
Abundance estimation is frequently an objective of conservation and monitoring initiatives for threatened and other managed populations. While abundance estimation via capture–mark–recapture or spatially explicit capture–recapture is now common, such ...
Brandon D. Merriell   +2 more
doaj   +2 more sources

A review of genomics methods and bioinformatics tools for the analysis of close-kin mark-recapture

open access: yesFrontiers in Marine Science, 2023
Stock assessments serve to monitor the condition of fish stocks and exploit them sustainably but require accurate data such as growth and mortality rates as input parameters.
Laura Casas, Fran Saborido-Rey
exaly   +3 more sources

A review of an emerging tool to estimate population parameters: the close-kin mark-recapture method

open access: yesFrontiers in Marine Science, 2023
Knowing the number of individuals in a population is fundamental for the sustainable management of exploited marine resources but estimating this parameter is often extremely challenging, especially in large, highly mobile and dispersed populations ...
Fran Saborido-Rey
exaly   +3 more sources

Estimating Demographic Parameters for Bearded Seals, Erignathus barbatus, in Alaska Using Close‐Kin Mark‐Recapture Methods [PDF]

open access: yesEvolutionary Applications
Reliable estimates of population abundance and demographics are essential for managing harvested species. Ice‐associated phocids, “ice seals,” are a vital resource for subsistence‐dependent coastal Native communities in western and northern Alaska, USA ...
Brian D. Taras   +7 more
doaj   +2 more sources

Expanding the feasibility of fish and wildlife assessments with close‐kin mark–recapture

open access: yesEcosphere, 2020
Close‐kin mark–recapture (CKMR) is a powerful new method for the assessment of fish and wildlife population dynamics. Unlike traditional mark–recapture techniques, the use of kinship as an identifying mark is robust to many forms of capture heterogeneity
Benjamin Marcy-Quay   +2 more
exaly   +2 more sources

Age is not just a number: How incorrect ageing impacts close‐kin mark‐recapture estimates of population size [PDF]

open access: yesEcology and Evolution
Population size is a key parameter for the conservation of animal species. Close‐kin mark‐recapture (CKMR) relies on the observed frequency and type of kinship among individuals sampled from the population to estimate population size.
Felix T. Petersma   +4 more
doaj   +2 more sources

Simulation-Based Spatially Explicit Close-Kin Mark-Recapture. [PDF]

open access: yesMol Ecol Resour
ABSTRACT Estimating the size of wild populations is a critical priority for ecologists and conservation biologists, but tools to do so are often labour intensive and expensive. A promising set of newer approaches are based on genetic data, which can be cheaper to obtain and less invasive than information from more direct observation.
Patterson G   +4 more
europepmc   +2 more sources

Collapsible Kernel Machine Regression for Exposomic Analyses. [PDF]

open access: yesStat Med
ABSTRACT An important goal of environmental epidemiology is to quantify the complex health effects posed by a wide array of environmental exposures. In studies of a small number of exposures, flexible models like Bayesian kernel machine regression (BKMR) are appealing because they allow for non‐linear and non‐additive associations among exposures ...
McGee G, Coull BA, Wilson A.
europepmc   +2 more sources

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