作者: John W. Hayes , Nicholas F. Hughes , Lon H. Kelly
DOI: 10.1016/J.ECOLMODEL.2007.04.032
关键词: Thalweg 、 Context (language use) 、 Atmospheric sciences 、 Ecology 、 Hydraulics 、 Settling 、 Carrying capacity 、 Environmental science 、 Dispersion (water waves) 、 Stream bed 、 Flow (psychology)
摘要: Abstract We present an overview of a process-based modelling approach for predicting how change in flow affects drift density, net rate energy intake (NREI) and numbers drift-feeding salmonids. It involves linking existing two-dimensional model (River2D) with models invertebrate transport drift-foraging which we have developed. describe, demonstrate partially test our application on 80 m × 20 m pool New Zealand river. show these realistically capture hydraulic, dispersion bioenergetics processes to predict the relationship between stream flow, habitat quality quantity (in terms NREI), carrying capacity Overall, 2D hydraulic made good predictions water levels, depths velocity at calibration lower (validation) flow. The spatial distribution density throughout low after it was calibrated against observed higher correctly predicted that would decline downstream into margins due process settling dominating over entry from bed, be carried further laterally as increased. foraging reasonable prediction (6–7) 0.5 m adult brown trout (5) pool. accurately should distributed down thalweg where highest, but when NREI adjusted depletion by feeding fish locations were more closely spaced (bunched) than locations. Our has important implications improving biological realism response fishes within context IFIM.