Record Display for the EPA National Library Catalog

RECORD NUMBER: 26 OF 28

OLS Field Name OLS Field Data
Main Title Wetland Creation and Restoration: EPA's (Environmental Protection Agency's) Research Program and Investigation of an Extensive Sampling Approach to Comparing Created and Natural Wetlands.
Author Kentula, M. E. ;
CORP Author NSI Technology Services Corp., Corvallis, OR.;Corvallis Environmental Research Lab., OR.
Publisher 1989
Year Published 1989
Report Number EPA-68-C8-0006; EPA/600/D-89/114;
Stock Number PB90-113119
Additional Subjects Ecology ; Trends ; Comparison ; Sampling ; Population growth ; Site surveys ; Oregon ; Washington(State) ; Florida ; Connecticut ; Wetlands ; Environment management ; Land management ; Land restoration ; Clean Water Act ; Man environment interactions
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
NTIS  PB90-113119 Most EPA libraries have a fiche copy filed under the call number shown. Check with individual libraries about paper copy. NTIS 03/10/1990
Collation 12p
Abstract
The increased use of wetland creation or restoration as compensation for losses permitted under Section 404 of the Clean Water Act has focused attention on the efficacy of this practice. The U.S. Environmental Protection Agency's Wetlands Research Program is studying wetland creation. Research is underway to synthesize knowledge on wetland creation and restoration; describe trends and patterns in Section 404 permitting; and compare created and naturally occurring wetlands. The comparisons of created and natural wetlands were designed to develop standard methods that could be used to quantitatively describe wetlands nationwide with known accuracy, precision, and comparability. An extensive sampling approach, i.e., sampling of populations of wetlands, was chosen to increase the limited general knowledge on created wetlands. Created and natural sites were characterized through measurements of biological, physical, and chemical parameters. Results from these studies will be used to generate hypotheses to be tested using an intensive sampling approach, i.e., experiments performed at a limited number of sites.