Biodiversity as a multidimensional construct: a review, framework and case study of herbivory's impact on plant biodiversity

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Author
Naeem, S.
Prager, Case
Weeks, Brian
Varga, Alex
Griffin, Kevin
Muscarella, Robert
Palmer, Matthew
Wood, Stephen
Schuster, William
Published Version
https://doi.org/10.1098/rspb.2015.3005Metadata
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Naeem, S., Case Prager, Brian Weeks, Alex Varga, Dan F. B. Flynn, Kevin Griffin, Robert Muscarella, Matthew Palmer, Stephen Wood, and William Schuster. 2016. “Biodiversity as a multidimensional construct: a review, framework and case study of herbivory's impact on plant biodiversity.” Proceedings of the Royal Society B: Biological Sciences 283 (1844): 20153005. doi:10.1098/rspb.2015.3005. http://dx.doi.org/10.1098/rspb.2015.3005.Abstract
Biodiversity is inherently multidimensional, encompassing taxonomic, functional, phylogenetic, genetic, landscape and many other elements of variability of life on the Earth. However, this fundamental principle of multidimensionality is rarely applied in research aimed at understanding biodiversity's value to ecosystem functions and the services they provide. This oversight means that our current understanding of the ecological and environmental consequences of biodiversity loss is limited primarily to what unidimensional studies have revealed. To address this issue, we review the literature, develop a conceptual framework for multidimensional biodiversity research based on this review and provide a case study to explore the framework. Our case study specifically examines how herbivory by whitetail deer (Odocoileus virginianus) alters the multidimensional influence of biodiversity on understory plant cover at Black Rock Forest, New York. Using three biodiversity dimensions (taxonomic, functional and phylogenetic diversity) to explore our framework, we found that herbivory alters biodiversity's multidimensional influence on plant cover; an effect not observable through a unidimensional approach. Although our review, framework and case study illustrate the advantages of multidimensional over unidimensional approaches, they also illustrate the statistical and empirical challenges such work entails. Meeting these challenges, however, where data and resources permit, will be important if we are to better understand and manage the consequences we face as biodiversity continues to decline in the foreseeable future.Other Sources
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5204135/pdf/Terms of Use
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