@article {10.3844/jmssp.2005.29.34,
article_type = {journal},
title = {Association of Landscape Metrics to Surface Water Biology in the Savannah River Basin},
author = {Nash, Maliha S. and Chaloud, Deborah J. and Franson, Susan E.},
volume = {1},
year = {2005},
month = {Mar},
pages = {29-34},
doi = {10.3844/jmssp.2005.29.34},
url = {https://thescipub.com/abstract/jmssp.2005.29.34},
abstract = {Surface water quality for the Savannah River basin was assessed using water biology and
landscape metrics. Two multivariate analyses, partial least square and canonical correlation, were used to
describe how the structural variation in landscape metrics may affect surface water biology and to define
the key landscape variable(s) that contribute the most to variation in surface water quality. The results
showed that the key landscape metrics in this study area were: percent forest, percent of total area in
agriculture (row crops + pasture) on moderately erodible soils, percent of total area with slopes greater
than 3% and stream density. The first two canonical variates describe the linear combinations of the two
data sets (r = 0.74 and 0.63), weighted mainly by percent of total area with slopes greater than 3%, taxa
richness of sensitive insects to pollution (EPT; Ephemeroptera-Plecoptera-Trichoptera Index), algal
growth potential and percent of total area in agriculture on moderately erodible soils.},
journal = {Journal of Mathematics and Statistics},
publisher = {Science Publications}
}