Literature DB >> 21070554

How do plant ecologists use matrix population models?

Elizabeth E Crone1, Eric S Menges, Martha M Ellis, Timothy Bell, Paulette Bierzychudek, Johan Ehrlén, Thomas N Kaye, Tiffany M Knight, Peter Lesica, William F Morris, Gerard Oostermeijer, Pedro F Quintana-Ascencio, Amanda Stanley, Tamara Ticktin, Teresa Valverde, Jennifer L Williams.   

Abstract

Matrix projection models are among the most widely used tools in plant ecology. However, the way in which plant ecologists use and interpret these models differs from the way in which they are presented in the broader academic literature. In contrast to calls from earlier reviews, most studies of plant populations are based on < 5 matrices and present simple metrics such as deterministic population growth rates. However, plant ecologists also cautioned against literal interpretation of model predictions. Although academic studies have emphasized testing quantitative model predictions, such forecasts are not the way in which plant ecologists find matrix models to be most useful. Improving forecasting ability would necessitate increased model complexity and longer studies. Therefore, in addition to longer term studies with better links to environmental drivers, priorities for research include critically evaluating relative/comparative uses of matrix models and asking how we can use many short-term studies to understand long-term population dynamics.
© 2010 Blackwell Publishing Ltd/CNRS.

Mesh:

Year:  2010        PMID: 21070554     DOI: 10.1111/j.1461-0248.2010.01540.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  16 in total

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2.  Predicting invasion winners and losers under climate change.

Authors:  Yvonne M Buckley; Anna M Csergő
Journal:  Proc Natl Acad Sci U S A       Date:  2017-04-04       Impact factor: 11.205

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

Authors:  Johan P Dahlgren; Hannah Ostergård; Johan Ehrlén
Journal:  Oecologia       Date:  2014-09-17       Impact factor: 3.225

4.  The effects of invertebrate herbivores on plant population growth: a meta-regression analysis.

Authors:  Daniel S W Katz
Journal:  Oecologia       Date:  2016-03-26       Impact factor: 3.225

5.  Forest succession and population viability of grassland plants: long repayment of extinction debt in Primula veris.

Authors:  Kari Lehtilä; Johan P Dahlgren; Maria Begoña Garcia; Roosa Leimu; Kimmo Syrjänen; Johan Ehrlén
Journal:  Oecologia       Date:  2016-02-04       Impact factor: 3.225

6.  Testing surrogacy assumptions: can threatened and endangered plants be grouped by biological similarity and abundances?

Authors:  Judy P Che-Castaldo; Maile C Neel
Journal:  PLoS One       Date:  2012-12-11       Impact factor: 3.240

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Authors:  Muthukumar V Bagavathiannan; Graham S Begg; Robert H Gulden; Rene C Van Acker
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

8.  Assessing the effects of multiple stressors on the recruitment of fruit harvested trees in a tropical dry forest, Western Ghats, India.

Authors:  Anita Varghese; Tamara Ticktin; Lisa Mandle; Snehlata Nath
Journal:  PLoS One       Date:  2015-03-17       Impact factor: 3.240

9.  Use of an Inverse Method for Time Series to Estimate the Dynamics of and Management Strategies for the Box Jellyfish Carybdea marsupialis.

Authors:  Cesar Bordehore; Verónica L Fuentes; Jose G Segarra; Melisa Acevedo; Antonio Canepa; Josep Raventós
Journal:  PLoS One       Date:  2015-09-16       Impact factor: 3.240

10.  Reconstructing shifts in vital rates driven by long-term environmental change: a new demographic method based on readily available data.

Authors:  Edgar J González; Carlos Martorell
Journal:  Ecol Evol       Date:  2013-06-07       Impact factor: 2.912

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