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Space–time interactions and invertebrate assemblage change in stream networks
Author(s) -
Campbell Rebecca E.,
McIntosh Angus R.
Publication year - 2017
Publication title -
austral ecology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.688
H-Index - 87
eISSN - 1442-9993
pISSN - 1442-9985
DOI - 10.1111/aec.12425
Subject(s) - habitat , assemblage (archaeology) , tributary , ecology , biological dispersal , streams , community structure , invertebrate , structuring , community , environmental science , geography , biology , computer science , population , cartography , computer network , demography , finance , sociology , economics
Streams form hierarchical, dendritic physical networks, but relatively little is known about how this spatial structure affects community assembly. We investigated interactions between changes over time in macroinvertebrate assemblages and their distribution in space (the space–time interaction) in stream networks. Assemblages were sampled from every tributary, and every reach between tributaries, to determine effects of network position on assemblage composition, in four West Coast, South Island, New Zealand, headwater networks. Using canonical redundancy analysis, we found that macroinvertebrate assemblages were significantly spatially structured and species assemblages changed significantly between two sampling periods. The most important environmental variables (averaged over all AIC models) explaining change in assemblage composition were related to disturbance, local habitat/resources and habitat size. The lack of a significant interaction between space and time, however, indicated the spatial pattern of assemblages remained the same over time, regardless of changes in assemblage composition. Consistent spatial structuring could be the result of unchanging processes such as those arising from the universal nature of stream topology and hydrology acting both on habitat‐ and dispersal‐ related community processes. Thus, we conclude that although community assemblages changed over time, the spatial arrangement of communities could potentially be predicted from stream network topology and hydrology.