Výsledky vyhledávání - "John R Skalski"

Akademický článek

A statistical test and sample size recommendations for comparing community composition following PCA.

Autor: John R Skalski, Shelby M Richins, Richard L Townsend

Publikováno v: PLoS ONE, Vol 13, Iss 10, p e0206033 (2018)

Many investigations of anthropogenic and natural impacts in ecological systems attempt to detect differences in ecological variables or community composition. Frequently, ordination procedures such as principal components analysis (PCA) or canonical

Externí odkaz: https://doaj.org/article/cacdf793350645d8b0fc57f937ec3272

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Akademický článek

Random effects models and multistage estimation procedures for statistical population reconstruction of small game populations.

Autor: Christopher M Gast, John R Skalski, Jason L Isabelle, Michael V Clawson

Publikováno v: PLoS ONE, Vol 8, Iss 6, p e65244 (2013)

Recently, statistical population models using age-at-harvest data have seen increasing use for monitoring of harvested wildlife populations. Even more recently, detailed evaluation of model performance for long-lived, large game animals indicated tha

Externí odkaz: https://doaj.org/article/9f48af8dd9ae44aba274e7b71fb73afa

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Akademický článek

Comparison of statistical population reconstruction using full and pooled adult age-class data.

Autor: John R Skalski, Joshua J Millspaugh, Michael V Clawson

Publikováno v: PLoS ONE, Vol 7, Iss 3, p e33910 (2012)

BACKGROUND: Age-at-harvest data are among the most commonly collected, yet neglected, demographic data gathered by wildlife agencies. Statistical population construction techniques can use this information to estimate the abundance of wild population

Externí odkaz: https://doaj.org/article/57bc03abaa4c4ca0b20cbe5b7b0587ee

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Elektronická kniha

Wildlife Demography : Analysis of Sex, Age, and Count Data

Autor: John R. Skalski, Kristin E. Ryding, Joshua Millspaugh

Wildlife Demography compiles the multitude of available estimation techniques based on sex and age data, and presents these varying techniques in one organized, unified volume. Designed to guide researchers to the most appropriate estimator based upo

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