EARLY HEARING DETECTION AND INTERVENTION VIRTUAL CONFERENCE
MARCH 2-5, 2021
(Virtually the same conference, without elevators, airplane tickets, or hotel room keys)
6/06/2017 | 2:00 PM - 2:15 PM | LINKING HYDROLOGICAL CONNECTIVITY TO THE STRUCTURAL AND FUNCTIONAL ORGANIZATIONS OF STREAM MACROINVERTEBRATE METACOMMUNITIES: A MACROECOLOGICAL STUDY CASE | 302B
LINKING HYDROLOGICAL CONNECTIVITY TO THE STRUCTURAL AND FUNCTIONAL ORGANIZATIONS OF STREAM MACROINVERTEBRATE METACOMMUNITIES: A MACROECOLOGICAL STUDY CASE
Patterns of metacommunities are the product of heterogeneous combinations of local and regional influences driven by asymmetric dispersal, uneven energy flow, and disparities in habitat availability. Thus, from a macroecological research standpoint, the focus is on the structural and dynamical properties that dictate metacommunity structure over large scales. Here we present a study of two adjacent watersheds differing in the hydrological connectivity among their sub-drainages. To research the structural organization of metacommunities in relation to hydrological connectivity we used a multi-site beta-diversity partition. Further, we explored aspects of taxa associations and metacommunity assembly using the Elements of Metacommunity Structure framework. To explore how hydrological connectivity affects their functional organization, we decomposed functional beta-diversity into functional nestedness and functional turnover. We also described changes in functional composition using a multidimensional trait analysis. Our results indicate that hydrological connectivity is a major driver structuring stream metacommunities at a macroecological scale and that this connectivity drives stream functional organization to a lesser extent. Turnover and nestedness were the most responsive factors to variation in hydrological connectivity, with nestedness increasing significantly across disconnected sub-drainages.
- C11 Community Ecology
- C03 Invertebrates
- S29 Macrosystem Ecology of Aquatic Systems
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Presenters/Authors
Alain Maasri
(), The Academy of Natural Sciences of Drexel University, alainmaasri@gmail.com;
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Barbara Hayford
(), University of Montana, bhayford@gmail.com;
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Jon Gelhaus
(), The Academy of Natural Sciences of Drexel University, gelhaus@gmail.com;
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Bolortsetseg Erdenee
(), The Academy of Natural Sciences of Drexel University, erdenee.bolortsetseg@gmail.com;
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