Isolation predicts compositional change after discrete disturbances in a global meta‐study
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- Nancy Shackelford
- School of Environmental Studies Univ. of Victoria Victoria Canada
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- Brian M. Starzomski
- School of Environmental Studies Univ. of Victoria Victoria Canada
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- Natasha C. Banning
- Dept of Plant Biology and Center for Ecology Southern Illinois Univ. Carbondale USA
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- Loretta L. Battaglia
- Dept of Plant Biology and Center for Ecology Southern Illinois Univ. Carbondale USA
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- Alistair Becker
- Port Stephens Fisheries Inst. NSW Dept of Primary Industries Taylors Beach Australia
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- Peter J. Bellingham
- Landcare Research Lincoln New Zealand
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- Brandon Bestelmeyer
- US Dept of Agriculture – Agricultural Research Service New Mexico State Univ. Las Cruces USA
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- Jane A. Catford
- School of BioSciences The Univ. of Melbourne Australia
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- John M. Dwyer
- The Univ. of Queensland School of Biological Sciences St Lucia Australia
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- Mats Dynesius
- Dept of Ecology and Environmental Science Umeå Univ. Umeå Sweden
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- James Gilmour
- Australian Inst. of Marine Science, UWA Oceans Inst. Crawley Australia
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- Lauren M. Hallett
- Dept of Environmental Science, Policy and Management Univ. of California at Berkeley Berkeley USA
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- Richard J. Hobbs
- School of Plant Biology The Univ. of Western Australia Crawley Australia
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- Jodi Price
- School of Plant Biology The Univ. of Western Australia Crawley Australia
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- Takehiro Sasaki
- Dept of Biology, Faculty of Science Chiba Univ. Chiba Japan
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- Edmund V. J. Tanner
- Dept of Plant Sciences Univ. of Cambridge Cambridge UK
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- Rachel J. Standish
- Standish, School of Veterinary and Life Sciences Murdoch Univ. Murdoch Australia
Description
<jats:p>Globally, anthropogenic disturbances are occurring at unprecedented rates and over extensive spatial and temporal scales. Human activities also affect natural disturbances, prompting shifts in their timing and intensities. Thus, there is an urgent need to understand and predict the response of ecosystems to disturbance. In this study, we investigated whether there are general determinants of community response to disturbance across different community types, locations, and disturbance events. We compiled 14 case studies of community response to disturbance from four continents, twelve aquatic and terrestrial ecosystem types, and eight different types of disturbance. We used community compositional differences and species richness to indicate community response. We used mixed‐effects modeling to test the relationship between each of these response metrics and four potential explanatory factors: regional species pool size, isolation, number of generations passed, and relative disturbance intensity. We found that compositional similarity was higher between pre‐ and post‐disturbance communities when the disturbed community was connected to adjacent undisturbed habitat. The number of generations that had passed since the disturbance event was a significant, but weak, predictor of community compositional change; two communities were responsible for the observed relationship. We found no significant relationships between the factors we tested and changes in species richness. To our knowledge, this is the first attempt to search for general drivers of community resilience from a diverse set of case studies. The strength of the relationship between compositional change and isolation suggests that it may be informative in resilience research and biodiversity management.</jats:p>
Journal
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- Ecography
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Ecography 40 (11), 1256-1266, 2017-01-19
Wiley
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Keywords
Details 詳細情報について
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- CRID
- 1360285710482998016
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- ISSN
- 16000587
- 09067590
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- Data Source
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- Crossref
- KAKEN
- OpenAIRE