Diversity of Interactions: A Metric for Studies of Biodiversity
Lee A. Dyer 16 , Thomas R. Walla 2 , Harold F. Greeney 1,3 , John O. Stireman III 4 , and Rebecca F. Hazen 5
1 Biology Department 0314, University of Nevada Reno, 1664 North Virginia Street, Reno, Nevada 89557, U.S.A.
2 Department of Biology, Mesa State College, 1100 North Avenue, Grand Junction, Colorado 81501, U.S.A.
3 Yanayacu Biological Station & Center for Creative Studies, c/o Foch 721 y Amazonas, Quito, Ecuador
4 Department of Biological Sciences, Wright State University, Dayton, Ohio 45435, U.S.A.
5 Department of Ecology and Evolutionary Biology, Tulane University, New Orleans, Louisiana 70118, U.S.A.
Copyright Journal compilation © 2010 Association for Tropical Biology and Conservation Inc.
KEYWORDS
community structure • ecosystem function • food webs • multitrophic interactions • plant–insect interactions
Multitrophic interactions play key roles in the origin and maintenance of species diversity, and the study of these interactions has contributed to important theoretical advances in ecology and evolutionary biology. Nevertheless, most biodiversity inventories focus on static species lists, and prominent theories of diversity still ignore trophic interactions. The lack of a simple interaction metric that is analogous to species richness is one reason why diversity of interactions is not examined as a response or predictor variable in diversity studies. Using plant–herbivore–enemy trophic chains as an example, we develop a simple metric of diversity in which richness, diversity indices (e.g., Simpson's 1/D), and rarefaction diversity are calculated with links as the basic unit rather than species. Interactions include all two-link (herbivore–plant and enemy–herbivore) and three-link (enemy–herbivore–plant) chains found in a study unit. This metric is different from other indices, such as traditional diversity measures, connectivity and interaction diversity in food-web studies, and the diversity of interaction index in behavioral studies, and it is easier to compute. Using this approach to studying diversity provides novel insight into debates about neutrality and correlations between diversity, stability, productivity, and ecosystem services.
Abstract in Spanish is available at http://www.blackwell-synergy.com/loi/btp
Received 16 September 2009; revision accepted 24 November 2009.
http://www3.interscience.wiley.com/journal/123268653/abstract?CRETRY=1&SRETRY=0 |