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<br />172 <br /> <br />D. J. ORTH <br /> <br />. In the meantime, decisions that affect the future of many stream fisheries will be made without the <br />benefit of predictions of fish population responses to alternative flow regimes. In the near future the <br />IFIM process will continue to playa major role in instream flow assessments and components of IFIM will <br />be modified to accommodate new situations (e.g. hydropeaking, Bovee, 1985). Therefore my purpose in <br />this paper is to (1) review ecological concepts that may explain why WUA is an inconsistent predictor of <br />fish population abundance, (2) suggest cautious applications of PHABSIM models, (3) encourage <br />application of all available models and knowledge in the assessment process, and (4) suggest areas of <br />needed research. <br /> <br />STREAM ECOLOGY AND FLOW ALTERATION <br /> <br />At least six primary factors influence the structural and functional characteristics of stream ecosystems <br />with respect to distribution and abundance of stream fishes. These are energy source (food), water <br />quality, temperature, physical habitat structure, flow regime, and biotic interactions (Karr and Dudley, <br />1981). Too often, instream flow assessments focus only on changes in physical habitat structure (e.g. <br />WUA) due to flow alteration and ignore potential temperature and water quality. changes despite the <br />availability of water temperature and water quality models (Grenney and Kraszewski, 1981; Theurer and <br />Voos, 1984). Variables related to energy source and biotic interactions are typically ignored even though <br />such changes frequently occur following certain types of flow regulation (Ward and Stanford, 1983). <br />Consequently, most instream flow assessments represent incomplete analyses of potential impacts of flow <br />regulation. <br />Improved instream flow models must address all of the six primary factors affecting stream ecosystems <br />in order to avoid unanticipated effects. Assessment of potential effects of regulation requires a <br />knowledge of how these factors interact and_ th~Uime .scale requ~a: before the full effects may be <br />recognized. Petts' (1984) hierarchial framework (Figure" 1) descri6es these effects in terms of three orders <br /> <br />.. <br /> <br />., <br />, <br />, <br />, I. <br />, , <br />, I <br />" , <br />, , <br />, I <br />, I <br />, I <br />,,' ~ " <br />" ~0 , <br />, ~' I <br />, , .0 " <br />" .~ ' <br />, S' I <br />" ell " <br />, ~ , <br />" ;...{b , <br />,,' ~ " <br />· ...0 I <br />-', ~~ ~ <br />, , <br />'", I <br />, , , <br />, ", <br />" ....'" <br />, <br />, <br /><"" <br /> <br />....,... , <br />"" I <br />I <br />I <br />I <br />I <br />". <br /> <br /> <br />.' <br />THIRD-ORDER <br />IMPACTS <br /> <br />. --.; <br /> <br />SECOND-ORDER <br />IMPACTS <br /> <br />FIRST-ORDER <br />IMPACTS <br /> <br />Figure 1. Hierarchial framework for examining the impacts of river impoundment. From Petts (1984). Copyright by John Wiley & <br />Sons Ltd. <br />