Abstract
Aquatic insects are used extensively in freshwater bioassessment because they are good indicators of human impact. The most successful bioassessment initiatives have focused mainly on comparing insect communities from potential impacted sites to those predicted by empirical correlative models that occur in pristine sites. The theoretical scope that underpins the use of these models is derived from a deterministic view of ecology, particularly based on niche theory – i.e., predicting taxa occurrence from environmental conditions. In recent years, however, the development of new concepts (e.g., the metacommunity concept), use of new techniques (e.g., artificial neural networks) and availability of better datasets (e.g., geographic information system layers) could change this scenario. In this chapter, we explore the use of metacommunity models, the geometry of riverine networks and organism dispersal conceptually with a simulation exercise to discuss the challenges of modelling metacommunities in biomonitoring aquatic networks.
Keywords
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Acknowledgments
We thank Professor Wesley Godoy for inviting us to contribute to this book and an anonymous reviewer for providing helpful comments on an earlier version of this manuscript. FOR is supported by a productivity grant from the Brazilian National Council for Scientific and Technological Development (CNPq, #303293/2009-8).
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Siqueira, T., Durães, L.D., de Oliveira Roque, F. (2014). Predictive Modelling of Insect Metacommunities in Biomonitoring of Aquatic Networks. In: Ferreira, C., Godoy, W. (eds) Ecological Modelling Applied to Entomology. Entomology in Focus, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-06877-0_5
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