{"title":"Elasticity analysis of population growth: Implications of matrix model construction","authors":"Stefano Giaimo","doi":"10.1016/j.ecolmodel.2025.111163","DOIUrl":null,"url":null,"abstract":"<div><div>Elasticity analysis can help ecologists and population managers to rank demographic processes based on their relative contributions to population growth. Here, numerous studies are reviewed where results of elasticity analysis that appear to be specific to the analyzed data can, to some extent, be anticipated on the basis of how the population projection matrix (PPM) was constructed in these studies, independently, or largely so, of the parametrization of this matrix with data. Focus is on the elasticities of population growth at demographic equilibrium to the entries of a time-independent population projection matrix. An essential component in the construction of a PPM is establishing its pattern, here defined as the location of nonnegative entries of the matrix and their demographic meaning. Studies using age-classified models are reviewed separately from studies using stage-classified models. While reviewing both types of studies, several interrelated rules are recalled that can help derive a ranking of elasticities, either from the pattern of the PPM alone or in combination with very little demographic data. It is suggested that greater awareness of the existence of these rules can be beneficial for practitioners of elasticity analysis: some desired results of this analysis can at times be predicted <em>a priori</em> or without full parametrization of the PPM; moreover, the rules can contribute to informing decisions based on the results of elasticity analysis.</div></div>","PeriodicalId":51043,"journal":{"name":"Ecological Modelling","volume":"507 ","pages":"Article 111163"},"PeriodicalIF":3.2000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Modelling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0304380025001486","RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Elasticity analysis can help ecologists and population managers to rank demographic processes based on their relative contributions to population growth. Here, numerous studies are reviewed where results of elasticity analysis that appear to be specific to the analyzed data can, to some extent, be anticipated on the basis of how the population projection matrix (PPM) was constructed in these studies, independently, or largely so, of the parametrization of this matrix with data. Focus is on the elasticities of population growth at demographic equilibrium to the entries of a time-independent population projection matrix. An essential component in the construction of a PPM is establishing its pattern, here defined as the location of nonnegative entries of the matrix and their demographic meaning. Studies using age-classified models are reviewed separately from studies using stage-classified models. While reviewing both types of studies, several interrelated rules are recalled that can help derive a ranking of elasticities, either from the pattern of the PPM alone or in combination with very little demographic data. It is suggested that greater awareness of the existence of these rules can be beneficial for practitioners of elasticity analysis: some desired results of this analysis can at times be predicted a priori or without full parametrization of the PPM; moreover, the rules can contribute to informing decisions based on the results of elasticity analysis.
期刊介绍:
The journal is concerned with the use of mathematical models and systems analysis for the description of ecological processes and for the sustainable management of resources. Human activity and well-being are dependent on and integrated with the functioning of ecosystems and the services they provide. We aim to understand these basic ecosystem functions using mathematical and conceptual modelling, systems analysis, thermodynamics, computer simulations, and ecological theory. This leads to a preference for process-based models embedded in theory with explicit causative agents as opposed to strictly statistical or correlative descriptions. These modelling methods can be applied to a wide spectrum of issues ranging from basic ecology to human ecology to socio-ecological systems. The journal welcomes research articles, short communications, review articles, letters to the editor, book reviews, and other communications. The journal also supports the activities of the [International Society of Ecological Modelling (ISEM)](http://www.isemna.org/).