Distance to stable stage distribution in plant populations and implications for near‐term population projections

作者: Jennifer L. Williams , Martha M. Ellis , Mary C. Bricker , Jedediah F. Brodie , Elliott W. Parsons

DOI: 10.1111/J.1365-2745.2011.01845.X

关键词: Population modelPopulation growthBiologyGeneration timePopulationPopulation sizePopulation projectionStatisticsVital ratesLiterature surveyEcology

摘要: Summary 1. Matrix population models capture how variation in vital rates among life stages translates to dynamics. Analyses of these generally assume that populations have reached a stable stage distribution (SSD), where the proportion individuals each remains constant. However, when respond differentially environmental cues and perturbations, may be moved away from equilibrium. Given multitude stochastic processes acting natural systems, never exactly at SSD. It is thus critical understand far are SSD distance influences near-term model projections. 2. We analysed published matrix 46 plant species spanning range histories reported both current projection matrix. We examined between observed theoretical associated consequences for transient dynamics species. 3. In majority studies, were near their expected SSD, with 80% falling within one unit (α0) zero. This was skewed towards positive values α0, indicating had concentrated into high reproductive values. 4. Half our survey distances such projections size growth rate 10% asymptotic 5 years. > 2, deviations caused important (more than twofold) differences. 5. We also found larger positively correlated generation time size. 6. Synthesis. When some more strongly affected by disturbances or stresses others, results literature suggest equilibrium will tend underestimate account distribution. Measuring can help determine whether measures analyses reliable, crucial step take precise metrics necessary guiding conservation management.

参考文章(34)
STUART TOWNLEY, DAVID CARSLAKE, OWEN KELLIE-SMITH, DOMINIC MCCARTHY, DAVID HODGSON, Predicting transient amplification in perturbed ecological systems Journal of Applied Ecology. ,vol. 44, pp. 1243- 1251 ,(2007) , 10.1111/J.1365-2664.2007.01333.X
Sean M. McMahon, C. J. E. Metcalf, Transient sensitivities of non-indigenous shrub species indicate complicated invasion dynamics Biological Invasions. ,vol. 10, pp. 833- 846 ,(2008) , 10.1007/S10530-008-9242-1
Stuart Townley, David J. Hodgson, Erratum et addendum: transient amplification and attenuation in stage-structured population dynamics Journal of Applied Ecology. ,vol. 45, pp. 1836- 1839 ,(2008) , 10.1111/J.1365-2664.2008.01562.X
Iain Stott, Miguel Franco, David Carslake, Stuart Townley, Dave Hodgson, Boom or bust? A comparative analysis of transient population dynamics in plants Journal of Ecology. ,vol. 98, pp. 302- 311 ,(2010) , 10.1111/J.1365-2745.2009.01632.X
Beata Ujvari, Stefan Andersson, Gregory Brown, Richard Shine, Thomas Madsen, Climate‐driven impacts of prey abundance on the population structure of a tropical aquatic predator Oikos. ,vol. 119, pp. 188- 196 ,(2010) , 10.1111/J.1600-0706.2009.17795.X
C. Bonenfant, S. Devillard, A. Loison, D. Pontier, D. Allaine, J.‐M. Gaillard, N. G. Yoccoz, J.‐D. Lebreton, Generation time: a reliable metric to measure life-history variation among mammalian populations. The American Naturalist. ,vol. 166, pp. 119- 123 ,(2005) , 10.1086/430330
Margaret E. Cochran, Stephen Ellner, Simple Methods for Calculating Age‐Based Life History Parameters for Stage‐Structured Populations Ecological Monographs. ,vol. 62, pp. 345- 364 ,(1992) , 10.2307/2937115
Joel E. Cohen, The cumulative distance from an observed to a stable age structure. Siam Journal on Applied Mathematics. ,vol. 36, pp. 169- 175 ,(1979) , 10.1137/0136015