ESS germination strategies in randomly varying environments. II. Reciprocal yield-law models

DOI10.1016/0040-5809(85)90023-1zbMath0597.92022OpenAlexW2054743811WikidataQ93640169 ScholiaQ93640169MaRDI QIDQ1079532

Stephen P. Ellner

Publication date: 1985

Published in: Theoretical Population Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/0040-5809(85)90023-1

zbMATH Keywords

approximationsnumerical simulationsESS germination strategiesreciprocal yield law

Mathematics Subject Classification ID

Probabilistic models, generic numerical methods in probability and statistics (65C20) Population dynamics (general) (92D25) Ecology (92D40)

Related Items (10)

ESS germination strategies in randomly varying environments. I. Logistic- type models ⋮ Population dynamics and harvesting of semelparous species with phenotypic and genotypic variability in reproductive age ⋮ Invasibility and stochastic boundedness in monotonic competition models ⋮ Evolutionarily stable germination strategies with time-correlated yield ⋮ Variable timing of reproduction in unpredictable environments: Adaption of flood plain plants. ⋮ Algebraic determination of the evolutionary stable germination fraction ⋮ Effect of age on germination of dormant seeds ⋮ Dispersal in patchy environments: The effects of temporal and spatial structure ⋮ Life history tactics of annual organisms: The joint effects of dispersal and delayed germination ⋮ Germination variation facilitates the evolution of seed dormancy when coupled with seedling competition

Cites Work

• Dispersal strategies in patchy environments
• ESS germination strategies in randomly varying environments. I. Logistic- type models
• Niche overlap and invasion of competitors in random environments. I. Models without demographic stochasticity
• A reexamination of stability in randomly varying versus deterministic environments with comments on the stochastic theory of limiting similarity
• The stabilizing effect of a random environment
• ON THEORETICAL MODELS FOR COMPETITIVE AND PREDATORY BIOLOGICAL SYSTEMS
• A comparison of theoretical and empirical results for some stochastic population models
• Density-dependent selection in a random environment: An evolutionary process that can maintain stable population dynamics
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