Linganisha mbinu

	Jaribio la Kusomeka kwa Jedwali la Maisha	Mchoro wa Makadirio Kamili
Nyanja	Ikolojia	Ikolojia
Familia	Process / pipeline	Process / pipeline
Mwaka wa asili	2000	2000
Mwanzilishi	Hal Caswell	Stephen Ellner and Mark Rees
Aina	temporal perturbation analysis	size-structured population projection
Chanzo asilia	Caswell, H. (2019). Sensitivity Analysis: Matrix Methods in Demography and Ecology. Springer.	Easterling, M. R., Ellner, S. P., & Dixon, P. M. (2000). Size-specific sensitivity: applying a new structured population model. Ecology, 81(3), 694-708.
Majina mbadala	LTRE, demographic analysis, vital rate contribution, elasticity analysis	IPM, continuous size structure, kernel model, size-structured population
Zinazohusiana	4	4
Muhtasari	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.	Integral 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.