HR: 09:05h
AN: H41I-05 [Abstracts]
TI: The influence of hydrogeomorphic dynamics on fish habitat: A case study using the ooCAESAR landscape
evolution model
AU: * Wheaton, J M
EM: Joe.Wheaton@soton.ac.uk
AF: School of Geography, University of Southampton, Highfield, Southampton, SO17 1BJ
United Kingdom
AU: Sear, D A
EM: D.Sear@soton.ac.uk
AF: School of Geography, University of Southampton, Highfield, Southampton, SO17 1BJ
United Kingdom
AU: Darby, S E
EM: S.E.Darby@soton.ac.uk
AF: School of Geography, University of Southampton, Highfield, Southampton, SO17 1BJ
United Kingdom
AU: Booker, D E
EM: dobo@ceh.ac.uk
AF: Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10
8BB
United Kingdom
AU: Acreman, M
EM: man@ceh.ac.uk
AF: Centre for Ecology and Hydrology, Maclean Building, Benson Lane, Crowmarsh Gifford, Wallingford, OX10
8BB
United Kingdom
AB:
The sediments, morphological features and riverflows that define the hydrogeomorphology of natural river channels provide
physical habitat diversity that sustains the aquatic biodiversity of river ecosystems. This simple concept underpins the
large number of contemporary ecohydraulic models that are available in the literature. Such models have been widely used to
predict how morphological diversity (taken here to encompass channel sediments, topography and flow velocity) influences
habitat quality for target species at the reach scale. The accuracy of these predictions is a matter of considerable
practical importance, as the results are frequently used as the basis for restoration or rehabilitation. However, such models
are limited in that they do not account for dynamic changes in river morphology, which themselves are triggered by changes
in the flows of water and sediment delivered from the watershed upstream and stimulated by climatic, tectonic or land cover
perturbations across a wide range of temporal scales. Accordingly there is an urgent need to combine the outputs of
catchment-based geomorphological models with ecohydraulic models, so that predictions of habitat quality focused on specific
reaches can be placed into their appropriate (i.e., the watershed) spatial context.
To address these issues we herein present preliminary simulations from a case study of the Sulphur Creek watershed, a 24.2
sq. km., third-order catchment draining one of 47 tributaries to the Napa River, which empties southerly into the San
Francisco Bay of northern California. Therein, the influence of catchment-scale geomorphic dynamics on reach-scale fish
habitat is investigated using the ooCAESAR landscape evolution model. This cellular automaton model, based on its predecessor
CAESAR, was chosen because it can be run at spatial resolutions (1 to 5 m.) that are ecologically meaningful and at temporal
resolutions that capture both individual event dynamics and long-term evolutionary history. Water depths, velocities and
surface grain size distributions produced by the ooCAESAR simulations are used to model habitat suitability for spawning and
rearing lifestages of Chinook salmon (Oncorhynchus tshawytscha) and steelhead (Oncorhynchus mykiss) using traditional habitat
suitability curves. To drive the simulations, scenarios were developed that express a combination of plausible future events
and time series based on climate (rainfall), land use, restoration and seismic variants. A subset of an ensemble of
scenario-driven simulations are used to illustrate how non-linear catchment-scale dynamics influence the quality of fish
habitat expressed at the reach-scale, in sometimes non-intuitive ways. Sediment budgets derived from the simulations help
segregate processes and explain how the delivery and storage of sediment within the catchment combine to change physical
habitat in reaches utilized by fish.
UR: http://www.geog.soton.ac.uk/users/WheatonJ/ooCAESAR.asp
DE: 1813 Eco-hydrology
DE: 1825 Geomorphology: fluvial (1625)
DE: 1834 Human impacts
DE: 1873 Uncertainty assessment (3275)
DE: 1879 Watershed
SC: Hydrology [H]
MN: Fall Meeting 2005