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26 BIOLOGICAL REPORT 24 <br />the Upper Colorado River Basin. Despite dem- <br />onstration of important effects of predation <br />and competition for food resources, little infor- <br />mation exists about the ecology of nonnatives <br />in the Upper Colorado River Basin. High flows <br />seem to reduce numbers of nonnative species, <br />and diversion dams installed many years ago <br />(e.g., Redlands on the Gunnison River) may <br />have segregated nonnative populations and <br />limited range expansion; however, much more <br />information is needed. I suspect that consider- <br />able unpublished data exist in files as a conse- <br />quence of the sampling effort required to col- <br />lect significant numbers of the endangered <br />fishes. If so, the information should be exam- <br />ined relative to what is known about the native <br />species and published. If not, sampling proto- <br />cols should be developed to describe trends in <br />nonnative populations in all segments of the <br />river. In addition, experiments are needed to <br />clarify interactions between natives and non- <br />natives. <br />8. River ecosystems are too complex to be de- <br />scribed by deterministic models or constructs <br />of individual attributes. Ecosystem compo- <br />nents are N-dimensional and inherently vari- <br />able (stochastic), and they interact in complex <br />ways that cannot be predicted from logistic <br />equations. Construction of an ecosystem model <br />that describes all of the dynamic processes <br />discussed above is likewise unreasonable as a <br />predictive tool. Therefore, the prudent alterna- <br />tive is to use all available ecological informa- <br />tion to derive and implement a flow regime for <br />the Upper Colorado River Basin ecosystem and <br />to quantify variables (e.g., location of serial <br />discontinuities, bioproduction of food webs, <br />condition and quantity of low velocity habitats, <br />availability of spawning habitats, spawning <br />success, population dynamics of native and <br />nonnative fishes) that describe whether the <br />ecosystem is changing in a way that favors <br />recovery of the fishes. <br />Derivation of Flows Currently <br />Recommended to Protect the <br />Endangered Fishes <br />Review of Instream Flow Methodology <br />For well over 2 decades many different re- <br />searchers have toiled to derive a general (easy to <br />use), precise (gives the same answer in repeated <br />tries), and real (accurately describes the many <br />interactive processes that occur in nature) model <br />to predict stream flows to protect fish and inverte- <br />brates. Considering the myriad factors that influ- <br />ence the distribution and abundance of endan- <br />gered fishes in the Upper Colorado River Basin, <br />and how intractable controlling factors become <br />when many different river systems and biota are <br />of interest, the search for such a model is formida- <br />ble. Nonetheless, instream flow modeling has been <br />fostered by the extreme value of water and the <br />unwillingness of water development interests to <br />"experiment" with flows on a river-by-river or even <br />segment-to-segment basis. Much litigation has re- <br />sulted over the need to maintain flows within river <br />segments to protect biota and channel and flood- <br />plain features at the expense of flow depletion for <br />other human uses or at the expense of less flexibil- <br />ity for hydropower operations. <br />Flow Threshold Models <br />A two-volume proceedings (Orsborn and All- <br />man 1976) of a special symposium on rationale for <br />and approaches to instream flow methodology <br />sponsored by the American Fisheries Society and <br />the American Society of Civil Engineers set the <br />stage for this endeavor to couple management-ori- <br />ented aquatic science with the physical mechanics <br />of water flow in stream channels. From the outset <br />a fundamental tenet of the evolution of instream <br />flow methodology was that something simpler <br />(less mathematical) and more intuitive (to field <br />personnel working for management agencies) <br />than full-blown ecosystem simulation was <br />needed. Consequently, the methodology has <br />tended to focus on economically important fishes <br />and their habitat "preferences," as determined by <br />flow. This should not be surprising because a <br />primary objective of wildlife and fisheries man- <br />agement for decades has been to protect and en- <br />hance species-specific habitats to maximize carry- <br />ing capacity and hence maximize harvest of <br />surplus biota. <br />The first widely used methods were entirely <br />based on the fact that, below some flow threshold, <br />physical habitat becomes limiting to fish and <br />other stream biota during some part of their life <br />cycle. The most commonly used method was the <br />"Montana" method (Tennant 1975 and various <br />modifications, see Wesche and Rechard 1980 for <br />review), which attempts to relate perceived prob- <br />lems, though rarely quantified (my observation,