Change search
ReferencesLink to record
Permanent link

Direct link
Population viability analysis for plants: practical recommendations and applications
Stockholm University, Faculty of Science, Department of Botany.
2006 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

Population viability analysis (PVA) is commonly used in conservation biology to predict population viability in terms of population growth rate and risk of extinction. However, large data requirements limit the use of PVA for many rare and threatened species. This thesis examines the possibility of conducting a matrix model-based PVA for plants with limited data and provides some practical recommendations for reducing the amount of work required. Moreover, the thesis applies different forms of matrix population models to species with different life histories. Matrix manipulations on 37 plant species revealed that the amount of demographic data required can often be reduced using a smaller matrix dimensionality. Given that an individual’s fitness is affected by plant density, linear matrix models are unlikely to predict population dynamics correctly. Estimates of population size of the herb Melampyrum sylvaticum were sensitive to the strength of density dependence operating at different life stages, suggesting that in addition to identifying density-dependent life stages, it is important to estimate the strength of density dependence precisely. When a small number of matrices are available for stochastic matrix population models, the precision of population estimates may depend on the stochastic method used. To optimize the precision of population estimates and the amount of calculation effort in stochastic matrix models, selection of matrices and Tuljapurkar’s approximation are preferable methods to assess population viability. Overall, these results emphasize that in a matrix model-based PVA, the selection of a stage classification and a model is essential because both factors significantly affect the amount of data required as well as the precision of population estimates. By integrating population dynamics into different environmental and genetic factors, matrix population models may be used more effectively in conservation biology and ecology in the future.

Place, publisher, year, edition, pages
Stockholm: Botaniska institutionen , 2006. , 15 p.
Keyword [en]
demography, matrix population models, population viability analysis, population growth rate, stochastic models
National Category
Biological Sciences
URN: urn:nbn:se:su:diva-845ISBN: 91-7155-192-1OAI: diva2:200287
Public defence
2006-04-01, MA 231, Södertörns högskola, Alfred Nobels allé 7, Huddinge, 13:00
Available from: 2006-03-02 Created: 2006-03-02Bibliographically approved

Open Access in DiVA

fulltext(216 kB)1456 downloads
File information
File name FULLTEXT01.pdfFile size 216 kBChecksum MD5
Type fulltextMimetype application/pdf

By organisation
Department of Botany
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 1456 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 536 hits
ReferencesLink to record
Permanent link

Direct link