Literature DB >> 15944176

Putting the plants back into plant ecology: six pragmatic models for understanding and conserving plant diversity.

Paul Keddy1.   

Abstract

BACKGROUND: There is a compelling need to protect natural plant communities and restore them in degraded landscapes. Activities must be guided by sound scientific principles, practical conservation tools, and clear priorities. With perhaps one-third of the world's flora facing extinction, scientists and conservation managers will need to work rapidly and collaboratively, recognizing each other's strengths and limitations. As a guide to assist managers in maintaining plant diversity, six pragmatic models are introduced that are already available. Although theoretical models continue to receive far more space and headlines in scientific journals, more managers need to understand that pragmatic, rather than theoretical, models have the most promise for yielding results that can be applied immediately to plant communities. SIX PRAGMATIC MODELS: For each model, key citations and an array of examples are provided, with particular emphasis on wetlands, since "wet and wild" was my assigned theme for the Botanical Society of America in 2003. My own work may seem rather prominent, but the application and refinement of these models has been a theme for me and my many students over decades. The following models are reviewed: (1) species-area: larger areas usually contain more species; (2) species-biomass: plant diversity is maximized at intermediate levels of biomass; (3) centrifugal organization: multiple intersecting environmental gradients maintain regional landscape biodiversity; (4) species-frequency: a few species are frequent while most are infrequent; (5) competitive hierarchies: in the absence of constraints, large canopy-forming species dominate patches of landscape, reducing biological diversity; and (6) intermediate disturbance: perturbations such as water level fluctuations, fire and grazing are essential for maintaining plant diversity.
CONCLUSIONS: The good news is that managers faced with protecting or restoring landscapes already have this arsenal of tools at their disposal. The bad news is that far too few of these models are appreciated.

Mesh:

Year:  2005        PMID: 15944176      PMCID: PMC4246866          DOI: 10.1093/aob/mci166

Source DB:  PubMed          Journal:  Ann Bot        ISSN: 0305-7364            Impact factor:   4.357


  11 in total

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Journal:  Science       Date:  1965-01-15       Impact factor: 47.728

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Journal:  Am J Bot       Date:  1998-11       Impact factor: 3.844

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  5 in total

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Authors:  Markus Franzén; Per-Eric Betzholtz; Lars B Pettersson; Anders Forsman
Journal:  Proc Biol Sci       Date:  2020-06-10       Impact factor: 5.349

2.  The effect of positive interactions on temporal turnover of community composition along an environmental gradient.

Authors:  Youshi Wang; Zhiyong Yang; Shurong Zhou; Janne Soininen; Dexiecuo Ai; Yali Li; Chengjin Chu
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

3.  Temporal effects of disturbance on community composition in simulated stage-structured plant communities.

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Journal:  Ecol Evol       Date:  2017-11-23       Impact factor: 2.912

4.  Failures to disagree are essential for environmental science to effectively influence policy development.

Authors:  Jon Norberg; Thorsten Blenckner; Sarah E Cornell; Owen L Petchey; Helmut Hillebrand
Journal:  Ecol Lett       Date:  2022-02-25       Impact factor: 11.274

5.  Bacterial communities in Malagasy soils with differing levels of disturbance affecting botanical diversity.

Authors:  Leah C Blasiak; Alex W Schmidt; Honoré Andriamiarinoro; Temesgen Mulaw; Rado Rasolomampianina; Wendy L Applequist; Chris Birkinshaw; Félicitée Rejo-Fienena; Porter P Lowry; Thomas M Schmidt; Russell T Hill
Journal:  PLoS One       Date:  2014-01-20       Impact factor: 3.240

  5 in total

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