Upscaling: Integrating Habitat Model into River Management

Abstract

Physical habitat modelling has been developed at the scale best applicable to short river stretches and selected species of fish. The integration of these models into management practices at the river and watershed scale would therefore require corresponding modifications in both the models and results. Such procedures fall into three major categories: biological, spatial and temporal upscaling. Biological upscaling develops methods for applying habitat models to aquatic communities, as opposed to individual indicator species. Spatial upscaling creates a hierarchical framework through which to translate habitat observations from the species to management scale. Temporal upscaling incorporates biological and hydromorphological dynamics into the static model. In the following paper the upscaling concept will be described in greater detail, illustrating its application with the example of the Quinebaug River in New England. RÉSUMÉ

Simulating Spawning and Juvenile Rainbow Trout (Oncorhynchus mykiss) Habitat in Colorado River Based on High-Flow Effects

“…For instance, Wang et al and Yi et al simulated the different flow effects on spawning Chinese sturgeon habitat in the Yangtze River [7,8]. Similar approaches have been developed in the US [9][10][11][12], Germany [13] and Australia [1]. These approaches can be efficiently applied from one river to another.…”

Formation of groupings of mayfly larvae (Ephemeroptera) in the area of small hydrological structures, in the streams of the Kamienica Nawojowska river basin (the Sądeckie Beskids, Poland)

“…The speed of flow and bottom erosion influence the structure of the bottom substrate, deposition of organic matter and thus the microhabitats and food base of many benthic invertebrates (Small et al, 2008). The structure of the flow is therefore reflected in the structure of microhabitats and groupings inhabiting them (Thorp, Covich, 2001;Parasiewicz, 2003). This affects the distribution of lotic species and those opting for an environment of calmer waters, as well as species preferring certain types of the substrate (Davy-Bowker et al, 2006).…”

Editorial: applications of MesoHABSIM using fish community targets

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