Spatial-scale effects on relative importance of physical habitat predictors of stream health.
A common theme in recent landscape studies is the comparison of riparian and watershed land use as predictors of stream health. The objective of this study was to compare the performance of reach-scale habitat and remotely assessed watershed-scale habitat as predictors of stream health over varying spatial extents. Stream health was measured with scores on a fish index of biotic integrity (IBI) using data from 95 stream reaches in the Eastern Corn Belt Plain (ECBP) ecoregion of Indiana. Watersheds hierarchically nested within the ecoregion were used to regroup sampling locations to represent varying spatial extents. Reach habitat was represented by metrics of a qualitative habitat evaluation index, whereas watershed variables were represented by riparian forest, geomorphology, and hydrologic indices. The importance of reach- versus watershed-scale variables was measured by multiple regression model adjusted-R2 and best subset comparisons in the general linear statistical framework. Watershed models had adjusted-R2 ranging from 0.25 to 0.93 and reach models had adjusted-R2 ranging from 0.09 to 0.86. Better-fitting models were associated with smaller spatial extents. Watershed models explained about 15% more variation in IBI scores than reach models on average. Variety of surficial geology contributed to decline in model predictive power. Results should be interpreted bearing in mind that reach habitat was qualitatively measured and only fish assemblages were used to measure stream health. Riparian forest and length-slope (LS) factor were the most important watershed-scale variables and mostly positively correlated with IBI scores, whereas substrate and riffle-pool quality were the important reach-scale variables in the ECBP.
Frimpong
Emmanuel A
EA
Department of Forestry and Natural Resources, Purdue University, 715 W. State Street, West Lafayette, Indiana, 47907, USA.
Sutton
Trent M
TM
Engel
Bernard A
BA
Simon
Thomas P
TP
D000383:Agriculture; D000818:Animals; D044822:Biodiversity; D004777:Environment; D004784:Environmental Monitoring / Q000379:methods*; D005399:Fishes; D040362:Geographic Information Systems; D007196:Indiana; D008962:Models, Theoretical; D045483:Rivers; D014881:Water Supply