Literature DB >> 10718728

Disturbance Frequency and Community Stability in Native Tallgrass Prairie.

Scott L Collins.   

Abstract

Ecological communities are spatially and temporally variable in response to a variety of biotic and abiotic forces. It is not always clear, however, if spatial and temporal variability leads to instability in communities. Instability may result from strong biotic interactions or from stochastic processes acting on small populations. I used 10-15 yr of annual data from the Konza Prairie Long-Term Ecological Research site to examine whether plant, breeding bird, grasshopper, and small mammal communities in tallgrass prairie exhibit stability or directional change in response to different experimentally induced fire frequencies. Based on ordination and ANOVA, plant and grasshopper communities on annually burned sites differed significantly from plant and grasshopper communities on less frequently burned sites. Breeding birds and small mammals differed among sites as well, but these differences were not clearly related to disturbance frequency. A modified time series analysis indicated that plant communities were undergoing directional change (unstable) on all watersheds, regardless of fire frequency. Contrary to expectations, directional change was greatest on the annually burned sites and lowest on the infrequently burned sites. Unlike the plant communities, breeding bird, grasshopper, and small mammal communities were temporally stable, despite high-compositional variability from 1 yr to the next. Stability among the consumer communities within these dynamic plant communities occurs because three-dimensional vegetation structure does not change over time, despite changes in plant species composition. Evidence suggests that instability in the plant community results from strong biotic interactions among temporally persistent core species and stochastic dynamics among infrequent satellite species. Overall, community stability cannot be assessed if the pattern of temporal dynamics is unknown. Long-term empirical studies of different taxa under different disturbance regimes are needed to determine over what time frames and spatial scales communities may be stable. Such studies are essential for the development of generalities regarding the relationship between disturbance frequency and community stability in terrestrial and aquatic systems.

Entities:  

Keywords:  community dynamics; community stability; disturbance; fire; tallgrass prairie; temporal variability

Year:  2000        PMID: 10718728     DOI: 10.1086/303326

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  25 in total

1.  Effects of short- and long-term disturbance resulting from military maneuvers on vegetation and soils in a mixed prairie area.

Authors:  Sherry A Leis; David M Engle; David M Leslie; Jeffrey S Fehmi
Journal:  Environ Manage       Date:  2005-12       Impact factor: 3.266

2.  A comprehensive approach to identifying monitoring priorities of small landbirds on military installations.

Authors:  Donald P Althoff; James W Rivers; Jeffrey S Pontius; Philip S Gipson; Philip B Woodford
Journal:  Environ Manage       Date:  2004-12       Impact factor: 3.266

3.  Evolution of aquatic insect behaviours across a gradient of disturbance predictability.

Authors:  David A Lytle; Michael T Bogan; Debra S Finn
Journal:  Proc Biol Sci       Date:  2008-02-22       Impact factor: 5.349

4.  Grasshopper (Orthoptera: Acrididae) communities respond to fire, bison grazing and weather in North American tallgrass prairie: a long-term study.

Authors:  Jayne L Jonas; Anthony Joern
Journal:  Oecologia       Date:  2007-06-02       Impact factor: 3.225

5.  Disturbance frequency influences patch dynamics in stream benthic algal communities.

Authors:  Mark E Ledger; Rebecca M L Harris; Patrick D Armitage; Alexander M Milner
Journal:  Oecologia       Date:  2008-01-10       Impact factor: 3.225

6.  Long-term community dynamics of small landbirds with and without exposure to extensive disturbance from military training activities.

Authors:  James W Rivers; Philip S Gipson; Donald P Althoff; Jeffrey S Pontius
Journal:  Environ Manage       Date:  2010-02       Impact factor: 3.266

7.  Metacommunity patterns in larval odonates.

Authors:  Shannon J McCauley; Christopher J Davis; Rick A Relyea; Kerry L Yurewicz; David K Skelly; Earl E Werner
Journal:  Oecologia       Date:  2008-09-10       Impact factor: 3.225

8.  Disturbance-mediated trophic interactions and plant performance.

Authors:  Bret D Elderd
Journal:  Oecologia       Date:  2005-10-05       Impact factor: 3.225

9.  Sampling errors create bias in Markov models for community dynamics: the problem and a method for its solution.

Authors:  Letitia L Conway-Cranos; Daniel F Doak
Journal:  Oecologia       Date:  2011-04-09       Impact factor: 3.225

10.  Disturbance and trajectory of change in a stream fish community over four decades.

Authors:  William J Matthews; Edie Marsh-Matthews; Robert C Cashner; Frances Gelwick
Journal:  Oecologia       Date:  2013-03-31       Impact factor: 3.225

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