<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Grossman, Gary D.</style></author><author><style face="normal" font="default" size="100%">Hill, Jennifer</style></author><author><style face="normal" font="default" size="100%">Petty, J. Todd.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Observations on habitat structure, population regulation, and habitat use with respect to evolutionarily significant units: a landscape perspective for lotic systems.</style></title><secondary-title><style face="normal" font="default" size="100%">American Fisheries Society Symposium</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">CWT</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">1995</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">http://cwt33.ecology.uga.edu/publications/117.pdf</style></url></web-urls></urls><volume><style face="normal" font="default" size="100%">17</style></volume><pages><style face="normal" font="default" size="100%">381-391.</style></pages><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">In this paper we attempt to synthesize a variety of developments in the fields of landscape and population ecology and apply these ideas to the physical and biological characteristics of lotic systems.  First, most attempts to manage evolutionarily significant units (ESUs) are based on the notion that the physical characteristics of lotic habitats are stable.  Yet, data from three permanent 100-m reaches in the Coweeta drainage of North Carolina indicated that these reaches possessed substantial annual variability with respect to both substratum composition and flow rates.  In addition, substratum data demonstrated that these reaches were patch environments, and that a landscape-based approach might facilitate the management of species in this system.  Second, a simple landscape-driven difference equation model of population dynamics based on biological characteristics common to many fishes indicated that the critical habitat for population maintenance may not always be the area in which the species is most abundant. Finally, two tests for habitat selection by stream fishes indicated that more biologically realistic models (e.g., a landscape-based model that included prey abundance) and a model that included explicit tests for the mechanism of selection itself (e.g., energy gain) may greatly increase our ability to identify and manage habitats that are crucial for survival of ESUs.</style></abstract><accession-num><style face="normal" font="default" size="100%">LTER.1995-80696</style></accession-num></record></records></xml>