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Testing for Changes in Community Structure Based on Repeated Sampling

2002; Wiley; Volume: 83; Issue: 8 Linguagem: Inglês

10.2307/3072058

1939-9170

Ola H. Diserud, Kaare Aagaard,

Species Distribution and Climate Change

EcologyVolume 83, Issue 8 p. 2271-2277 Regular Article TESTING FOR CHANGES IN COMMUNITY STRUCTURE BASED ON REPEATED SAMPLING Ola H. Diserud, Ola H. Diserud Department of Mathematical Sciences, Norwegian University of Science and Technology, N-7491 Trondheim, Norway E-mail: [email protected]Search for more papers by this authorKaare Aagaard, Kaare Aagaard Norwegian Institute for Nature Research, Tungasletta 2, N-7485 Trondheim, NorwaySearch for more papers by this author Ola H. Diserud, Ola H. Diserud Department of Mathematical Sciences, Norwegian University of Science and Technology, N-7491 Trondheim, Norway E-mail: [email protected]Search for more papers by this authorKaare Aagaard, Kaare Aagaard Norwegian Institute for Nature Research, Tungasletta 2, N-7485 Trondheim, NorwaySearch for more papers by this author First published: 01 August 2002 https://doi.org/10.1890/0012-9658(2002)083[2271:TFCICS]2.0.CO;2Citations: 6 Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract When comparing samples to evaluate changes in community structure, there are several uncertainties that must be taken into consideration. Sampling inevitably induces randomness in observed species composition and abundance. Even if they come from exactly the same community, two samples may show considerable differences. If the sampling effort varies, differences will increase even more. Finally, when time has elapsed between samples, we would like to correct for variations in true species abundance occurring naturally due to fluctuating environmental conditions. In this paper we develop a test method that corrects for sampling in general, as well as for differential sampling efforts. The species abundances are also allowed to vary in time, enabling us to test for additional changes in community structure due to some extraordinary event. The method will be useful when analyzing consequences of human-induced disturbances, such as pollution, but also natural catastrophes, such as fire, flooding, extreme weather, or arrival of new species. Here, our method will be applied to a pair of samples from an insect community. We found that the result was affected by the way we chose to measure the community structure, and that the conclusion depended heavily on the estimate of the environmental variation. Literature Cited Aagaard, K., J. O. Solem, T. Nøst, and O. Hanssen . 1997. The macrobenthos of the pristine stream, Skiftesåa, Høylandet, Norway. Hydrobiologia 348: 81–94. Colwell, R. K., and J. A. Coddington . 1994. Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society of London, Series B 345: 101–118. Diserud, O. H. 1999. The analysis of community structure: stochastic models, estimation, and simulation. Dissertation. Norwegian University of Science and Technology (NTNU), Trondheim, Norway. Diserud, O. H., and S. Engen . 2000. A general and dynamic species abundance model, embracing the lognormal and the gamma models. American Naturalist 155: 497–511. Engen, S. 1978. Stochastic abundance models. Chapman and Hall, London, UK. Engen, S., Ø. Bakke, and A. Islam . 1998. Demographic and environmental stochasticity: concepts and definitions. Biometrics 54: 840–846. Engen, S., and R. Lande . 1996a.. Population dynamic models generating species abundance distributions of the gamma type. Journal of Theoretical Biology 178: 325–331. Engen, S., and R. Lande . 1996b. Population dynamic models generating the lognormal species abundance distribution. Mathematical Biosciences 132: 169–183. Hanski, I. 1994. Metapopulation dynamics and conservation: a spatially explicit model applied to butterflies. Biological Conservation 68: 167–180. Karlin, S., and H. M. Taylor . 1981. A second course in stochastic processes. Academic Press, New York, New York, USA. Magurran, A. E. 1988. Ecological diversity and its measurement. Chapman and Hall, London, UK. Nichols, J. D., T. Boulinier, J. E. Hines, K. H. Pollock, and J. R. Sauer . 1998. Estimating rates of local species extinction, colonization, and turnover in animal communities. Ecological Applications 8: 1213–1225. Pielou, E. C. 1977. Mathematical ecology. Wiley, New York, New York, USA. Solow, A. R. 1993. A simple test for change in community structure. Journal of Animal Ecology 62: 191–193. Solow, A. R., and S. Polasky . 1999. A quick estimator for taxonomic surveys. Ecology 80: 2799–2803. Citing Literature Volume83, Issue8August 2002Pages 2271-2277 ReferencesRelatedInformation