posted on 2013-09-03, 14:00authored byWendy A. Monk, Paul WoodPaul Wood, David M. Hannah, Douglas A. Wilson, Chris A. Extence, Richard P. Chadd
River flow regimes, controlled by climatic and catchment factors, vary over a wide
range of temporal and spatial scales. This hydrological dynamism is important in
determining the structure and functioning of riverine ecosystems; however, such
hydroecological associations remain poorly quantified. This paper explores and models
relationships between a suite of flow regime predictors and macroinvertebrate
community metrics from 83 rivers in England and Wales. A two-stage analytical
approach was employed: (1) classification of 83 river basins based upon the magnitude
and shape (form) of their long-term (1980 – 1999) average annual regime to group
basins with similar flow responses; and (2) examination of relationships between a total
of 201 flow regime descriptors identified by previous researchers and macroinvertebrate
community metrics for the whole data set and long-term flow regime classes over an
11-year period (1990 – 2000). The classification method highlighted large-scale patterns
in river flow regimes, identifying five magnitude classes and three shape classes. A
west–east trend of flow regime magnitude (high-low) and timing (early-late peak) was
displayed across the study area, reflecting climatic gradients and basin controls (e.g.
lithology). From the suite of hydrological variables, those associated with the magnitude
of the flow regime consistently produced the strongest relationships with
macroinvertebrate community metrics for all sites and for the long-term regime
composite classes. The results indicate that the classification (subdivision) of rivers into
flow regime regions potentially offers a means of increasing predictive capacity and, in
turn, better management of fluvial hydrosystems.
History
School
Social Sciences
Department
Geography and Environment
Citation
MONK, W.A. ... et al, 2006. Flow variability and macroinvertebrate community response within riverine systems. River Research and Applications, 22 (5), pp.595-615.