ScholarGate
어시스턴트

방법 비교

선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.

Life Table Response Experiment×레슬리 행렬×
분야생태학생태학
계열Process / pipelineProcess / pipeline
기원 연도20001945
창시자Hal CaswellPatrick Leslie
유형temporal perturbation analysisstructured population dynamics
원전Caswell, H. (2019). Sensitivity Analysis: Matrix Methods in Demography and Ecology. Springer. DOI ↗Leslie, P. H. (1945). On the use of matrices in certain population mathematics. Biometrika, 33(3), 183-212. DOI ↗
별칭LTRE, demographic analysis, vital rate contribution, elasticity analysisLeslie model, age-structured population model, matrix population model, population dynamics
관련44
요약Life 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.The Leslie matrix is a deterministic model of age-structured population dynamics, introduced by Patrick Leslie (1945). It projects population size and structure forward in time using age-specific fertility and survival rates. A Leslie matrix encodes these vital rates in a square matrix; multiplying the matrix by a population vector yields the population's composition at the next time step. This approach enables calculation of the population's asymptotic growth rate (λ), identification of stable age structure, and sensitivity analysis—understanding which vital rates most strongly influence population growth.
ScholarGate데이터셋
  1. v1
  2. 3 출처
  3. PUBLISHED
  1. v1
  2. 3 출처
  3. PUBLISHED

검색으로 이동 슬라이드 다운로드

ScholarGate방법 비교: Life Table Response Experiment · Leslie Matrix. 2026-06-18에 다음에서 검색함: https://scholargate.app/ko/compare