title: Reconstructing riverine mesohabitat unit composition using fish community data and an autecology matrix.
abstract: This research proposes a simplified method for estimating the mesohabitat composition that would favour members of a given set of aquatic species. The simulated composition of four types of mesohabitat units (deep pool, shallow pool, deep riffle and shallow riffle) could guide the design of in-stream structures in creating pool-riffle systems with ecological reference. Fish community data and an autecology matrix are used to support the development of a stream mesohabitat simulation based on regression models for reaches in mid to upper-order streams. The fish community-mesohabitat model results constitute a reference condition that can be used to guide stream restoration and ecological engineering decisions aimed at maintaining the natural ecological integrity and diversity of rivers.
authors.affiliation: Department of Hydraulic and Ocean Engineering, National Cheng Kung University, No. 1 University Road, Tainan 701, Taiwan. jpsuen@mail.ncku.edu.tw
authors.forename: J P
authors.initials: JP
authors.lastname: Suen
authors.forename: W C
authors.initials: WC
authors.lastname: Su
mesh_terms: D000818:Animals; D004463:Ecology / Q000379:methods*; D017753:Ecosystem; D005399:Fishes; D012044:Regression Analysis; D045483:Rivers