CHARACTERIZATION AND EVALUATION OF PROPOSED HYDROLOGIC CRITERIA FOR WETLANDS

Citation
Rw. Skaggs et al., CHARACTERIZATION AND EVALUATION OF PROPOSED HYDROLOGIC CRITERIA FOR WETLANDS, Journal of soil and water conservation, 49(5), 1994, pp. 501-510
Citations number
25
Categorie Soggetti
Water Resources",Ecology,"Agriculture Soil Science
ISSN journal
00224561
Volume
49
Issue
5
Year of publication
1994
Pages
501 - 510
Database
ISI
SICI code
0022-4561(1994)49:5<501:CAEOPH>2.0.ZU;2-W
Abstract
A wide range of criteria has been proposed for defining and identifyin g wetlands. This study was conducted to compare and evaluate seven pro posed criteria for wetland hydrology. The computer model DRAINMOD was used to simulate the hydrology for a range of drainage intensities on three soils in the North Carolina Coastal Plain. The threshold drainag e intensity for lands that barely satisfy each of the proposed criteri on was identified. Statistics characterizing the hydrologic and relate d attributes of these lands are presented. Results indicated that thre e proposed criteria (45/07, 45/14, and 30/14) characterize lands that are much drier than the other four criteria (5/15, 00/15, 15/21, and 0 0/21). (The first number indicates the depth in cm, and the second, th e number of consecutive days during the growing season that the water table must be less than that depth). Average annual water tables for t he first group range from 71 to 105 cm compared to a range of 43 to 74 cm for the second group. Relative wetness of lands satisfying each cr iterion was evaluated by predicting long-term average corn yields for threshold drainage intensities. Corn may be produced profitably on lan ds that satisfy the first three criteria. Lands that satisfy the secon d group of criteria are too wet for corn production. Whether a margina l site will satisfy given hydrologic criterion may strongly depend on definition of the growing season. It is recommended that the growing s eason be defined in terms of readily available, location specific temp erature data.