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Model de Projecció Integral×Experiment de Resposta de la Taula de Vida×
CampEcologiaEcologia
FamíliaProcess / pipelineProcess / pipeline
Any d'origen20002000
Autor originalStephen Ellner and Mark ReesHal Caswell
Tipussize-structured population projectiontemporal perturbation analysis
Font seminalEasterling, M. R., Ellner, S. P., & Dixon, P. M. (2000). Size-specific sensitivity: applying a new structured population model. Ecology, 81(3), 694-708. DOI ↗Caswell, H. (2019). Sensitivity Analysis: Matrix Methods in Demography and Ecology. Springer. DOI ↗
ÀliesIPM, continuous size structure, kernel model, size-structured populationLTRE, demographic analysis, vital rate contribution, elasticity analysis
Relacionats44
ResumIntegral projection models (IPMs) are a class of structured population models that use continuous traits (size, age, height) to describe population dynamics. Introduced by Easterling and colleagues (2000) and developed extensively by Ellner, Rees, and collaborators, IPMs overcome limitations of age- or stage-structured models by treating individual traits as continuous. They use integration to project populations forward in time, making them particularly suitable for organisms with continuous size distributions or flexible developmental pathways. IPMs enable estimation of population growth rate (λ), sensitivity analysis, and projection under changing environmental conditions.Life Table Response Experiments (LTRE) decompose observed temporal changes in population growth rate (lambda) into contributions from changes in specific vital rates (survival, reproduction). Developed by Caswell (2000) and applied extensively by Wisdom and colleagues, LTRE reveals which demographic changes drove observed population dynamics. For example, LTRE can show whether a population's decline was primarily due to reduced survival of juveniles, reduced fecundity of adults, or changes in other life stages. This guides targeted conservation or management.
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ScholarGateCompara mètodes: Integral Projection Model · Life Table Response Experiment. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare