title: Functional Process Zones Characterizing Aquatic Insect Communities in Streams of the Brazilian Cerrado.
abstract: Stream ecology studies see to understand ecological dynamics in lotic systems. The characterization of streams into Functional Process Zones (FPZ) has been currently debated in stream ecology because aquatic communities respond to functional processes of river segments. Therefore, we tested if different functional process zones have different number of genera and trophic structure using the aquatic insect community of Neotropical streams. We also assessed whether using physical and chemical variables may complement the approach of using FPZ to model communities of aquatic insects in Cerrado streams. This study was conducted in 101 streams or rivers from the central region of the state of Goiás, Brazil. We grouped the streams into six FPZ associated to size of the river system, presence of riparian forest, and riverbed heterogeneity. We used Bayesian models to compare number of genera and relative frequency of the feeding groups between FPZs. Streams classified in different FPZs had a different number of genera, and the largest and best preserved rivers had an average of four additional genera. Trophic structure exhibited low variability among FPZs, with little difference both in the number of genera and in abundance. Using functional process zones in Cerrado streams yielded good results for Ephemeroptera, Plecoptera, and Trichoptera communities. Thus, species distribution and community structure in the river basin account for functional processes and not necessarily for the position of the community along a longitudinal dimension of the lotic system.
authors.affiliation: Núcleo de Ciências Agrárias e Desenvolvimento Rural - NCADR, Univ Federal do Pará, Campus Guamá. Rua Augusto Corrêa 01, Belém, PA, CEP: 66075-110, Brasil. bspacek@gmail.com.
authors.forename: B S
authors.initials: BS
authors.lastname: Godoy
authors.affiliation: Lab de Pesquisas Ecológicas e Educação Científica, Univ Estadual de Goiás, Anápolis, GO, Brasil.
authors.forename: J
authors.initials: J
authors.lastname: Simião-Ferreira
authors.affiliation: Depto de Biologia Geral, Univ Federal de Goiás, Goiânia, GO, Brasil.
authors.forename: S
authors.initials: S
authors.lastname: Lodi
authors.affiliation: Depto de Biologia Geral, Univ Federal de Goiás, Goiânia, GO, Brasil.
authors.forename: L G
authors.initials: LG
authors.lastname: Oliveira
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D001938:Brazil; D017753:Ecosystem; D065133:Ephemeroptera; D007313:Insecta / Q000145:classification*; D045483:Rivers; D014329:Tropical Climate
keywords: Bayesian inference; conservation; functional feeding groups; macroinvertebrates; river classification; riverine ecosystem synthesis
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