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6/05/2017 | 10:00 AM - 10:15 AM | Partitioning the effects of riverine connectivity and environmental filters on macroinvertebrate communities: implications for developing biomonitoring tools. | 305A

Partitioning the effects of riverine connectivity and environmental filters on macroinvertebrate communities: implications for developing biomonitoring tools.

Spatial autocorrelation is an issue to be tackled when developing biomonitoring tools. Invertebrate communities tend to be spatially similar due to riverine connectivity and adult dispersal patterns. That similarity might be a complicating factor when selecting invertebrate community based metrics that are responsive to land use impacts on stream ecosystems. We used partial redundancy analysis (pRDA) and variance partition techniques to assess the effects of riverine connectivity and environmental filters on the invertebrate communities in 30 sites in an agriculturally impacted watershed in southeastern Brazil. Invertebrate community responses were investigated using taxonomic, functional trait and a multi-metric index matrices. The main environmental variables influencing invertebrate communities were related to shading, chemical stress, anoxia and river channelization. Connectivity between sites demonstrated a high influence on taxonomic (18%) and functional traits composition (29%). The multi-metric index matrix had a high proportion of its variance explained by the environmental variables (33%), with little variance explained by spatial variables (9%), indicating that those metrics are robust as bioindicators. Invertebrate functional traits demonstrated a high proportion of its variance explained by environmental variables (21%), indicating that they might be useful as bioindicators with further research.

C27 Landuse and Non-Point source Impacts
C03 Invertebrates
S21 Practical applications of metacommunity theory in stream and river management

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Presenters/Authors

Steven Thomas (), School of Natural Resources, University of Nebraska-Lincoln, Lincoln, sthomas5@unl.edu;