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Demographic analysis of continuous-time life-history models
Version of Record online: 29 NOV 2007
Volume 11, Issue 1, pages 1–15, January 2008
How to Cite
De Roos, A. M. (2008), Demographic analysis of continuous-time life-history models. Ecology Letters, 11: 1–15. doi: 10.1111/j.1461-0248.2007.01121.x
- Issue online: 29 NOV 2007
- Version of Record online: 29 NOV 2007
- Editor, Kevin Gross Manuscript received 16 July 2007 First decision made 24 August 2007 Manuscript accepted 21 September 2007
Appendix S1 matlab code to compute the population growth rate.
Appendix S2 matlab code to compute the sensitivity of the population growth rate to all model parameters.
Appendix S3 matlab code to compute the entire life history as a function of individual age for computation of the stable age distribution and the reproductive value as a function of age.
Appendix S4 Problem-specific matlab code for the Medfly example.
Appendix S5 Problem-specific matlab code for the dynamic energy budget example with the population made up by a single type of individual (a single state at birth).
Appendix S6 Problem-specific matlab code for the dynamic energy budget example with the population made up by a single type of individual (a single state at birth) and pulsed reproduction.
Appendix S7 Problem-specific matlab code for the Medfly example with a periodically fluctuating juvenile mortality.
Appendix S8 Problem-specific matlab code for the dynamic energy budget example with the population consisting of two different types of individuals (two states at birth).
The code in Appendix S1–S3 is designed to be problem independent. For specific problems and parameter combinations the code might nonetheless fail to yield results and should therefore be considered a starting point for further development.
Please note: Blackwell Publishing are not responsible for the content or functionality of any supplementary materials supplied by the authors. Any queries (other than missing material) should be directed to the corresponding author for the article.
|ELE_1121_sm_SA1_popgrowthrate.m||3K||Supporting info item|
|ELE_1121_sm_SA2_sensitivity.m||3K||Supporting info item|
|ELE_1121_sm_SA3_agedist.m||1K||Supporting info item|
|ELE_1121_sm_SA4_Medfly.m||7K||Supporting info item|
|ELE_1121_sm_SA5_DEB.m||9K||Supporting info item|
|ELE_1121_sm_SA6_DEBpulsed.m||10K||Supporting info item|
|ELE_1121_sm_SA7_Medfly_periodic.m||11K||Supporting info item|
|ELE_1121_sm_SA8_DEB_2states.m||11K||Supporting info item|
|ELE_sa1_popgrowthrate.m||3K||Supporting info item|
|ELE_sa2_sensitivity.m||3K||Supporting info item|
|ELE_sa3_agedist.m||1K||Supporting info item|
|ELE_sa4_medfly.m||7K||Supporting info item|
|ELE_sa5_deb.m||9K||Supporting info item|
|ELE_sa6_debpulsed.m||10K||Supporting info item|
|ELE_sa7_medfly_periodic.m||11K||Supporting info item|
|ELE_sa8_deb_2states.m||11K||Supporting info item|
Please note: Wiley Blackwell is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article.