sh.sePublications
Change search
ReferencesLink to record
Permanent link

Direct link
Matrix dimensionality in demographic analyses of plants: when to use smaller matrices?
Södertörn University, School of Life Sciences.
Södertörn University, School of Life Sciences.ORCID iD: 0000-0002-0260-3978
2005 (English)In: Oikos, ISSN 0030-1299, E-ISSN 1600-0706, Vol. 111, no 3, 563-573 p.Article in journal (Refereed) Published
Abstract [en]

Large data requirements may restrict the use of matrix population models for analysis of population dynamics. Less data are required for a small population matrix than for a large matrix because the smaller matrix contains fewer vital rates that need to be estimated. Smaller matrices, however, tend to have a lower precision. Based on 37 plant species, we studied the effects of matrix dimensionality on the long-term population growth rate (lambda) and the elasticity of lambda in herbaceous and woody species. We found that when matrix dimensionality was reduced, changes in lambda were significantly larger for herbaceous than for woody species. In many cases, lambda of woody species remained virtually the same after a substantial decrease in matrix dimensionality, suggesting that woody species are less susceptible to matrix dimensionality. We demonstrated that when adjacent stages of a transition matrix are combined, the magnitude of a change in lambda depends on the distance of the population structure from a stable stage distribution, and the difference in the combined vital rates weighted by their reproductive values. Elasticity of lambda to survival and fecundity usually increased, whereas elasticity to growth decreased both in herbaceous and in woody species with reduced matrix dimensionality. Changes in elasticity values tended to be larger for herbaceous than for woody species. Our results show that by reducing matrix dimensionality, the amount of demographic data can be decreased to save time, money, and field effort. We recommend the use of a small matrix dimensionality especially when a limited amount of data is available, and for slow-growing species having a simple matrix structure that mainly consists of stasis and growth to the next stage.

Place, publisher, year, edition, pages
2005. Vol. 111, no 3, 563-573 p.
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:sh:diva-6046DOI: 10.1111/j.0030-1299.2005.13808.xISI: 000233306800016ScopusID: 2-s2.0-29144529096OAI: oai:DiVA.org:sh-6046DiVA: diva2:395512
Available from: 2011-02-07 Created: 2011-02-07 Last updated: 2016-09-29Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full textScopus

Search in DiVA

By author/editor
Ramula, SatuLehtilä, Kari
By organisation
School of Life Sciences
In the same journal
Oikos
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 80 hits
ReferencesLink to record
Permanent link

Direct link