Literature DB >> 25224800

Local environment and density-dependent feedbacks determine population growth in a forest herb.

Johan P Dahlgren1, Hannah Ostergård, Johan Ehrlén.   

Abstract

Linking spatial variation in environmental factors to variation in demographic rates is essential for a mechanistic understanding of the dynamics of populations. However, we still know relatively little about such links, partly because feedbacks via intraspecific density make them difficult to observe in natural populations. We conducted a detailed field study and investigated simultaneous effects of environmental factors and the intraspecific density of individuals on the demography of the herb Lathyrus vernus. In regression models of vital rates we identified effects associated with spring shade on survival and growth, while density was negatively correlated with these vital rates. Density was also negatively correlated with average individual size in the study plots, which is consistent with self-thinning. In addition, average plant sizes were larger than predicted by density in plots that were less shaded by the tree canopy, indicating an environmentally determined carrying capacity. A size-structured integral projection model based on the vital rate regressions revealed that the identified effects of shade and density were strong enough to produce differences in stable population sizes similar to those observed in the field. The results illustrate how the local environment can determine dynamics of populations and that intraspecific density may have to be more carefully considered in studies of plant demography and population viability analyses of threatened species. We conclude that demographic approaches incorporating information about both density and key environmental factors are powerful tools for understanding the processes that interact to determine population dynamics and abundances.

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Mesh:

Year:  2014        PMID: 25224800     DOI: 10.1007/s00442-014-3073-9

Source DB:  PubMed          Journal:  Oecologia        ISSN: 0029-8549            Impact factor:   3.225


  18 in total

1.  Demographic compensation and tipping points in climate-induced range shifts.

Authors:  Daniel F Doak; William F Morris
Journal:  Nature       Date:  2010-10-21       Impact factor: 49.962

2.  Detection of density dependence requires density manipulations and calculation of lambda.

Authors:  N L Fowler; R Deborah Overath; Craig M Pease
Journal:  Ecology       Date:  2006-03       Impact factor: 5.499

Review 3.  Complex population dynamics and complex causation: devils, details and demography.

Authors:  Tim G Benton; Stewart J Plaistow; Tim N Coulson
Journal:  Proc Biol Sci       Date:  2006-05-22       Impact factor: 5.349

Review 4.  Actual and potential use of population viability analyses in recovery of plant species listed under the US endangered species act.

Authors:  Sara L Zeigler; Judy P Che-Castaldo; Maile C Neel
Journal:  Conserv Biol       Date:  2013-08-23       Impact factor: 6.560

5.  The BUGS project: Evolution, critique and future directions.

Authors:  David Lunn; David Spiegelhalter; Andrew Thomas; Nicky Best
Journal:  Stat Med       Date:  2009-11-10       Impact factor: 2.373

6.  Switching from negative to positive density-dependence among populations of a cobble beach plant.

Authors:  William M Goldenheim; Andrew D Irving; Mark D Bertness
Journal:  Oecologia       Date:  2008-10-09       Impact factor: 3.225

7.  A density-dependent model of Cirsium vulgare population dynamics using field-estimated parameter values.

Authors:  M Gillman; J M Bullock; J Silvertown; B Clear Hill
Journal:  Oecologia       Date:  1993-11       Impact factor: 3.225

8.  Climate warming alters effects of management on population viability of threatened species: results from a 30-year experimental study on a rare orchid.

Authors:  Nina Sletvold; Johan P Dahlgren; Dag-Inge Oien; Asbjørn Moen; Johan Ehrlén
Journal:  Glob Chang Biol       Date:  2013-07-14       Impact factor: 10.863

9.  Ability of matrix models to explain the past and predict the future of plant populations.

Authors:  Elizabeth E Crone; Martha M Ellis; William F Morris; Amanda Stanley; Timothy Bell; Paulette Bierzychudek; Johan Ehrlén; Thomas N Kaye; Tiffany M Knight; Peter Lesica; Gerard Oostermeijer; Pedro F Quintana-Ascencio; Tamara Ticktin; Teresa Valverde; Jennifer L Williams; Daniel F Doak; Rengaian Ganesan; Kathyrn McEachern; Andrea S Thorpe; Eric S Menges
Journal:  Conserv Biol       Date:  2013-04-08       Impact factor: 6.560

10.  Regularization Paths for Generalized Linear Models via Coordinate Descent.

Authors:  Jerome Friedman; Trevor Hastie; Rob Tibshirani
Journal:  J Stat Softw       Date:  2010       Impact factor: 6.440

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  3 in total

Review 1.  Predicting changes in the distribution and abundance of species under environmental change.

Authors:  Johan Ehrlén; William F Morris
Journal:  Ecol Lett       Date:  2015-01-22       Impact factor: 9.492

2.  Less favourable climates constrain demographic strategies in plants.

Authors:  Anna M Csergő; Roberto Salguero-Gómez; Olivier Broennimann; Shaun R Coutts; Antoine Guisan; Amy L Angert; Erik Welk; Iain Stott; Brian J Enquist; Brian McGill; Jens-Christian Svenning; Cyrille Violle; Yvonne M Buckley
Journal:  Ecol Lett       Date:  2017-06-13       Impact factor: 9.492

3.  Biotic and anthropogenic forces rival climatic/abiotic factors in determining global plant population growth and fitness.

Authors:  William F Morris; Johan Ehrlén; Johan P Dahlgren; Alexander K Loomis; Allison M Louthan
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-30       Impact factor: 11.205

  3 in total

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