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<br />20 BIOLOGICAL REpORT 29 <br /> <br />Habitat bottlenecks are important, but some- <br />times poorly understood. The basic premise of the <br />habitat bottleneck is that populations of aquatic <br />organisms are related to the availability of habitat <br />through time. This definition has been commonly <br />misinterpreted to mean that adult fish popula- <br />tions must be instantaneously correlated with <br />habitat. Such an interpretation logically requires <br />a belief in instantaneous mortality and spontane- <br />ous generation, or the ability of fish to move <br />quickly among habitats, in order for fish popula- <br />tions to increase and decrease at the same rate <br />that habitat can change in a stream. In reality, <br />habitat limitations affecting a population usually <br />occur prior to the time when the population size <br />is measured. Adult populations are frequently <br />determined by recruitment, which is highly corre- <br />lated with the amount of habitat available for <br />early life stages of the species. Such 'habitat <br />events' usually affect recruitment via habitat <br />types directly related to the production and sur- <br />vival of eggs, larvae, and fry (such as spawning <br />habitat and young-of-year rearing habitat), or in- <br />directly related to survival by the growth rates of <br />age-O fish (such as temperature regime, young-of- <br />year rearing habitat, or microhabitat for inverte- <br />brate food supplies). These habitat bottlenecks <br />typically occur 1 to 3 years prior to maturation, <br />when their effects are detectable in the adult <br />population (Nehring and Anderson 1993; Bovee <br />et al. 1994). In addition, Bovee et al. (1994) found <br />that <br /> <br />1. there may be several consecutive and inde- <br />pendent habitat events that can affect adult <br />populations (such as spawning habitat, fry <br />rearing habitat, temperature regime, and adult <br />feeding habitat); <br />2. limiting events frequently occur over variable <br />time scales (such as acute events that limit fry <br />survival versus chronic events, such as long- <br />term crowding of adults during the summer); <br />3. habitat may be limited by both high and low <br />flow events and by the rate of change of flow <br />events; <br />4. the smallest amount of habitat available during <br />the year may not necessarily be the limiting <br />event (such as during the winter when fish are <br />inactive); and <br />5. habitat types not directly utilized by the species <br />(such as macroinvertebrate habitat as it affects <br />food supply for fish) may be more important <br />than the habitat directly used by the species. <br /> <br />, <br /> <br />Conclusion <br /> <br />A common misinterpretation of IFIM is that it <br />is only a 'trout model.' This misunderstanding is <br />undoubtedly related to the origins of the technique <br />for quantifying salmonid microhabitat (Collings <br />et al. 1972), which formed the conceptual basis for <br />the Physical Habitat Simulation System (PHAB- <br />SIM). Although the modeling techniques underly- <br />ing PHABSIM originated in salmonid streams, <br />Bovee (1975) concluded that there were sufficient <br />parallels in microhabitat use across stream com- <br />munities that the same basic approach could be <br />used in most riverine environments for essentially <br />any riverine species. <br />As discussed in this chapter, many concepts and <br />components ofIFIM are rooted in community ecol- <br />ogy and were developed from many stream set- <br />tings. Students of IFIM should have little trouble <br />recognizing the influence of the longitudinal suc- <br />cession concept as a defining property of macro- <br />habitat. Longitudinal succession has been con- <br />firmed in many studies, in coldwater and <br />warmwater streams, since Shelford's (1911) origi- <br />nal hypothesis. 1 In IFIM, macrohabitat compo- <br />nents such as channel structure and discharge are <br />used to define sampling strata for the quantifica- <br />tion of microhabitat. Temperature and water qual- <br />ity are incorporated in IFIM to define the longitu- <br />dinallimits where a species can or cannot survive. <br />The treatment of microhabitat in IFIM using <br />PHABSIM is consistent with the two-dimensional <br />partitioning of microhabitats documented for <br />stream-dwelling organisms ranging from algae to <br />fish. Although the reasons for habitat partitioning <br />may vary, such behavior is commonplace in stream <br />ecosystems worldwide. One possible reason for the <br />universality of this phenomenon is that streams <br />provide unique but repetitive types of microhabitat <br />niches no matter where they are, and there will <br />always be one or more species adapted to filling <br />those niches. <br />PHABSIM has been criticized because it con- <br />tains only a few variables, namely depth, velocity, <br />and channel index (usually a combination of sub- <br />strate material and cover). However, in nearly all <br />of the studies conducted on habitat partitioning <br />among stream-dwelling animals, these variables <br />were consistently found to be important determi- <br />nants of species distributions and abundance. The <br /> <br />1 The concept oflongitudinal succession has matured into what <br />today is the river continuum concept (Vannote et a1. 1980). <br />