Demography_Lab, an educational application to evaluate population growth: Unstructured and matrix models

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Demography_Lab, an educational application to evaluate population growth: Unstructured and matrix models
著者: Arrontes, Julio
主題: Academic Practice in Ecology and Evolution ; Age composition ; Asymptotic properties ; Confidence intervals ; Construction ; demographic stochasticity ; Demographics ; Demography ; Density ; Density dependence ; Dependence ; Difference equations ; Ecology ; Education ; environmental stochasticity ; Extinction ; Growth rate ; Learning ; Life cycles ; matrix model ; Parameters ; Population ecology ; Population growth ; population model ; Population number ; Probability theory ; sampling error ; Sensitivity analysis ; Simulation ; Software ; Statistical analysis ; stochastic model ; Stochastic models ; Stochasticity ; Students
所屬期刊: Ecology and evolution, 2021-03, Vol.11 (5), p.1940-1956
描述: Training in Population Ecology asks for scalable applications capable of embarking students on a trip from basic concepts to the projection of populations under the various effects of density dependence and stochasticity. Demography_Lab is an educational tool for teaching Population Ecology aspiring to cover such a wide range of objectives. The application uses stochastic models to evaluate the future of populations. Demography_Lab may accommodate a wide range of life cycles and can construct models for populations with and without an age or stage structure. Difference equations are used for unstructured populations and matrix models for structured populations. Both types of models operate in discrete time. Models can be very simple, constructed with very limited demographic information or parameter‐rich, with a complex density‐dependence structure and detailed effects of the different sources of stochasticity. Demography_Lab allows for deterministic projections, asymptotic analysis, the extraction of confidence intervals for demographic parameters, and stochastic projections. Stochastic population growth is evaluated using up to three sources of stochasticity: environmental and demographic stochasticity and sampling error in obtaining the projection matrix. The user has full control on the effect of stochasticity on vital rates. The effect of the three sources of stochasticity may be evaluated independently for each vital rate. The user has also full control on density dependence. It may be included as a ceiling population size controlling the number of individuals in the population or it may be evaluated independently for each vital rate. Sensitivity analysis can be done for the asymptotic population growth rate or for the probability of extinction. Elasticity of the probability of extinction may be evaluated in response to changes in vital rates, and in response to changes in the intensity of density dependence and environmental stochasticity. Demography_Lab is an educational application to evaluate the growth of populations. The application uses stochastic unstructured and matrix models and allows for the independent implementation of environmental and demographic stochasticity and sampling error. A large variety of life cycles may be accommodated.
出版者: England: John Wiley & Sons, Inc
語言: 英文
識別號: ISSN: 2045-7758
EISSN: 2045-7758
DOI: 10.1002/ece3.7170
PMID: 33717433
資源來源: Publicly Available Content Database
Wiley Online Library All Journals
Agricultural & Environmental Science Collection
DOAJ Directory of Open Access Journals
Wiley Blackwell Open Access Titles

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Demography_Lab, an educational application to evaluate population growth: Unstructured and matrix models

Arrontes, Julio

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