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Reconciling the influence of global climate phenomena on macrofaunal temporal dynamics at a variety of spatial scales
Author(s) -
HEWITT J. E.,
THRUSH S. F.
Publication year - 2009
Publication title -
global change biology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 4.146
H-Index - 255
eISSN - 1365-2486
pISSN - 1354-1013
DOI - 10.1111/j.1365-2486.2008.01825.x
Subject(s) - temporal scales , environmental science , spatial ecology , generality , ecology , scale (ratio) , climate change , abundance (ecology) , environmental change , population , geography , climatology , biology , geology , cartography , psychology , demography , sociology , psychotherapist
Determining the relative importance of environmental forces on population dynamics is a fundamental question for ecologists. Growing concern over the ecological effects of climate change emphasizes the importance of defining whether broad‐scale environmental forces uniformly act upon local populations (hierarchy theory) or cross‐scale interactions influence local responses (multiscale theory). This study analyses 13 years of data on species abundances at six sites within a large harbour to determine the effect of the El Niño Southern Oscillation (ENSO). Environmental variables both directly and indirectly related to ENSO were observed to be important predictors of the temporal dynamics of abundance in many species, but the observed effects were not consistent across sites or species. While nearly all species were affected by large temporal and spatial scale variability, smaller temporal scale, location‐specific environmental variables (such as wind‐generated wave exposure and turbidity) were also generally important, increasing the variability explained by our models by up to 25%. As with many other broad‐scale variables, generality of response to ENSO is affected by interactions across time and space with smaller scale heterogeneity. This study therefore suggests that the degree of interaction between broad‐scale climatic factors, such as ENSO, with smaller scale variability, will determine the consistency of responses over large spatial scales, and control our ability to predict effects of climate change on coastal and estuarine communities.