References

Åberg, P. (1990). Measuring size and choosing category size for a transition matrix study of the seaweed Ascophyllum nodosum. Marine Ecology Progress Series, 63, 281–287.
Ballard, W.B., Whitman, J.S. & Reed, D.J. (1991). Population dynamics of moose in south-central Alaska. Wildlife Monographs, 114, 3–49.
Bartoń, K.A. (2014). MuMIn: Multi-model inference.
Bates, D., Maechler, M., Bolker, B. & Walker, S. (2015). Fitting linear mixed-effects models using lme4. Journal of Statistical Software, 67, 1–48.
Beamonte-Barrientos, R., Velando, A., Drummond, H. & Torres, R. (2010). Senescence of maternal effects: Aging influences egg quality and rearing capacities of a long-lived bird. The American Naturalist, 175, 469–480.
Beissinger, S.R. & Westphal, M.I. (1998). On the use of demographic models of population viability in endangered species management. Journal of Wildlife Management, 62, 821–841.
Broek, J. van den. (1995). A score test for zero inflation in a Poisson distribution. Biometrics, 51, 738–743.
Brooks, M.E., Kristensen, K., Benthem, K.J. van, Magnusson, A., Berg, C.W., Nielsen, A., et al. (2017). glmmTMB balances speed and flexibility among packages for zero-inflated generalized linear mixed modeling. The R Journal, 9, 378–400.
Burnham, K.P. & Anderson, D.R. (2002). Model selection and multimodel inference: A practical information-theoretic approach. Springer-Verlag New York, Inc., New York, New York, USA.
Caswell, H. (1989). Analysis of life table response experiments i. Decomposition of effects on population growth rate. Ecological Modelling, 46, 221–237.
Caswell, H. (2001). Matrix population models: Construction, analysis, and interpretation. Second edition. Sinauer Associates, Inc., Sunderland, Massachusetts, USA.
Caswell, H. (2010). Life table response experiment analysis of the stochastic growth rate. Journal of Ecology, 98, 324–333.
Caswell, H. (2019). Sensitivity analysis: Matrix methods in demography and ecology. Demographic Research Methods. Springer Nature, Cham, Switerland.
Caswell, H. & Salguero-Gómez, R. (2013). Age, stage and senescence in plants. Journal of Ecology, 101, 585–595.
Caswell, H., Vries, C. de, Hartemink, N., Roth, G. & Daalen, S.F. van. (2018). Age × stage-classified demographic analysis: A comprehensive approach. Ecological Monographs, 88, 560–584.
Childs, D.Z., Rees, M., Rose, K.E., Grubb, P.J. & Ellner, S.P. (2003). Evolution of complex flowering strategies: An age- and size-structured integral projection model. Proceedings Of The Royal Society Of London Series B-Biological Sciences, 270, 1829–1838.
Crone, E.E., Ellis, M.M., Morris, W.F., Stanley, A., Bell, T., Bierzychudek, P., et al. (2013). Ability of matrix models to explain the past and predict the future of plant populations. Conservation Biology, 27, 968–978.
Dahlgren, J.P. & Ehrlén, J. (2011). Incorporating environmental change over succession in an integral projection model of population dynamics of a forest herb. Oikos, 120, 1183–1190.
Davison, R., Jacquemyn, H., Adriaens, D., Honnay, O., Kroon, H. de & Tuljapurkar, S. (2010). Demographic effects of extreme weather events on a short-lived calcareous grassland species: Stochastic life table response experiments. Journal of Ecology, 98, 255–267.
Davison, R., Nicole, F., Jacquemyn, H. & Tuljapurkar, S. (2013). Contributions of covariance: Decomposing the components of stochastic population growth in Cypripedium calceolus. The American Naturalist, 181, 410–420.
Davison, R., Stadman, M. & Jongejans, E. (2019). Stochastic effects contribute to population fitness differences. Ecological Modelling, 408, 108760.
Descamps, S., Boutin, S., Berteaux, D. & Gaillard, J.-M. (2008). Age-specific variation in survival, reproductive success and offspring quality in red squirrels: Evidence of senescence. Oikos, 117, 1406–1416.
deVries, C. & Caswell, H. (2018). Demography when history matters: Construction and analysis of second-order matrix population models. Theoretical Ecology, 11, 129–140.
Doak, D.F., Waddle, E., Langendorf, R.E., Louthan, A.M., Isabelle Chardon, N., Dibner, R.R., et al. (2021). A critical comparison of integral projection and matrix projection models for demographic analysis. Ecological Monographs, 91, e01447.
Dogra, H. & Dani, K.G.S. (2019). Defining features of age-specific fertility and seed quality in senescing indeterminate annuals. American Journal of Botany, 106, 604–610.
Easterling, M.R., Ellner, S.P. & Dixon, P.M. (2000). Size-Specific Sensitivity: Applying a New Structured Population Model. Ecology, 81, 694–708.
Ehrlén, J. (1995). Demography of the perennial herb Lathyrus vernus. I. Herbivory and individual performance. Journal of Ecology, 83, 287–295.
Ehrlén, J. (2000). The dynamics of plant populations: Does the history of individuals matter? Ecology, 81, 1675–1684.
Ehrlén, J. (2002). Assessing the lifetime consequences of plant-animal interactions for the perennial herb Lathyrus vernus (Fabaceae). Perspectives in Plant Ecology, Evolution and Systematics, 5, 145–163.
Ehrlén, J. & Eriksson, O. (1996). Seedling recruitment in the perennial herb Lathyrus vernus. Flora, 191, 377–383.
Ehrlén, J. & Lehtila, K. (2002). How perennal are perennial plants? Oikos, 98, 308–322.
Ehrlén, J. & Munzbergova, Z. (2009). Timing of flowering: Opposed selection on different fitness components and trait covariation. The American Naturalist, 173, 819–830.
Ehrlén, J. & Van Groenendael, J. (2001). Storage and the delayed costs of reproduction in the understorey perennial Lathyrus vernus. Journal of Ecology, 89, 237–246.
Ellner, S.P. & Rees, M. (2006). Integral projection models for species with complex demography. American Naturalist, 167, 410–428.
Garcia, M.B., Dahlgren, J.P. & Ehrlén, J. (2011). No evidence of senescence in a 300-year-old mountain herb. Journal of Ecology, 99, 1424–1430.
Greenwood, M. (1938). The first life table. Notes and Records of the Royal Society of London, 1, 70–72.
Honnay, O., Coart, E., Butaye, J., Adriaens, D., Glabeke, S. van & Roldan-Ruiz, I. (2006). Low impact of present and historical landscape configuration on the genetics of fragmented Anthyllis vulneraria populations. Biological Conservation, 127, 411–419.
Jenks, G.F. (1967). The data model concept in statistical mapping. International Yearbook of Cartography, 7, 186–190.
Jensen, A.L. (1995). Simple density-dependent matrix model for population projection. Ecological Modelling, 77, 43–48.
Jones, O.R., Barks, P., Stott, I., James, T.D., Levin, S., Petry, W.K., et al. (2022). Rcompadre and RageTwo R packages to facilitate the use of the COMPADRE and COMADRE databases and calculation of life-history traits from matrix population models. Methods in Ecology and Evolution, 13, 770–781.
Kendall, B.E., Fujiwara, M., Diaz-Lopez, J., Schneider, S., Voigt, J. & Wiesner, S. (2019). Persistent problems in the construction of matrix population models. Ecological Modelling, 406, 33–43.
Krauss, J., Steffan-Dewenter, I. & Tscharntke. (2004). Landscape occupancy and local population size depends on host plant distribution in the butterfly Cupido minimus. Biological Conservation, 120, 355–361.
Lefkovitch, L.P. (1965). The study of population growth in organisms grouped by stages. Biometrics, 21, 1–18.
Leslie, P.H. (1945). On the use of matrices in certain population mathematics. Biometrika, 33, 183–212.
Leslie, P.H. (1959). The properties of a certain lag type of population growth and the influence of an external random factor on a number of such populations. Physiological Zoology, 32, 151–159.
Merow, C., Dahlgren, J.P., Metcalf, C.J.E., Childs, D.Z., Evans, M.E.K., Jongejans, E., et al. (2014). Advancing population ecology with integral projection models: A practical guide. Methods in Ecology and Evolution, 5, 99–110.
Metcalf, C.J.E., McMahon, S.M., Salguero-Gómez, R. & Jongejans, E. (2013). IPMpack: An R package for integral projection models. Methods in Ecology and Evolution, 4, 195–200.
Morris, W.F. & Doak, D.F. (2002). Quantitative conservation biology: Theory and practice of population viability analysis. Sinauer Associates, Inc., Sunderland, Massachusetts, USA.
Pantoja, P.O., Paine, C.E.T. & Vallejo-Marin, M. (2018). Natural selection snd outbreeding depression suggest adaptive differentiation in the invasive range of a clonal plant. Proceedings Of The Royal Society B-Biological Sciences, 285, 20181091.
Piessens, K., Adriaens, D., Jacquemyn, H. & Honnay, O. (2009). Synergistic effects of an extreme weather event and habitat fragmentation on a specialised insect herbivore. Oecologia, 159, 117–126.
Roff, D.A. (2010). Modeling evolution: An introduction to numerical methods. Oxford University Press, Oxford, England, United Kingdom.
Salguero-Gómez, R. & Casper, B.B. (2010). Keeping plant shrinkage in the demographic loop. Journal of Ecology, 98, 312–323.
Salguero-Gómez, R., Jones, O.R., Archer, C.R., Bein, C., Buhr, Farack, C., et al. (2016). COMADRE: A global data base of animal demography. Journal of Animal Ecology, 85, 371–384.
Salguero-Gómez, R., Jones, O.R., Archer, C.R., Buckley, Y.M., Che-Castaldo, J., Caswell, H., et al. (2015). The Compadre Plant Matrix Database: An open online repository for plant demography. Journal of Ecology, 103, 202–218.
Shefferson, R.P., Kull, T., Hutchings, M.J., Selosse, M.-A., Jacquemyn, H., Kellett, K.M., et al. (2018). Drivers of vegetative dormancy across herbaceous perennial plant species. Ecology Letters, 21, 724–733.
Shefferson, R.P., Kurokawa, S. & Ehrlén, J. (2021). lefko3: Analysing individual history through size-classified matrix population models. Methods in Ecology and Evolution, 12, 378–382.
Shefferson, R.P., Mizuta, R. & Hutchings, M.J. (2017). Predicting evolution in response to climate change: The example of sprouting probability in three dormancy-prone orchid species. Royal Society Open Science, 4, 160647.
Shefferson, R.P., Sandercock, B.K., Proper, J. & Beissinger, S.R. (2001). Estimating dormancy and survival of a rare herbaceous perennial using mark-recapture models. Ecology, 82, 145–156.
Shefferson, R.P., Shutoh, K. & Suetsugu, K. (2024). Life history costs drive the evolution of mycoheterotrophs: Increased sprouting and flowering in a strongly mycoheterotrophic pyrola species. Journal of Ecology, 112, 1287–1300.
Shefferson, R.P., Warren II, R.J. & Pulliam, H.R. (2014). Life history costs make perfect sprouting maladaptive in two herbaceous perennials. Journal of Ecology, 102, 1318–1328.
Tuljapurkar, S. (1990). Population dynamics in variable environments. Lecture Notes in Biomathematics. Springer-Verlag Berlin-Heidelberg, Berlin, Germany.
Wardle, G.M. (1998). A graph theory approach to demographic loop analysis. Ecology, 79, 2539–2549.
Williams, J.L., Miller, T.E.X. & Ellner, S.P. (2012). Avoiding unintentional eviction from integral projection models. Ecology, 93, 2008–2014.
Yee, T.W. (2015). Vector Generalized Linear and Additive Models: With an Implementation in R.
Yee, T.W. & Wild, C.J. (1996). Vector generalized additive models. Journal of the Royal Statistical Society, Series B, 58, 481–493.
Zeileis, A., Kleiber, C. & Jackman, S. (2008). Regression models for count data in R. Journal of Statistical Software, 27, 1–25.