首页   按字顺浏览 期刊浏览 卷期浏览 MORPHOLOGIC AND COLOR PATTERN INDICATORS OF WATER TABLE LEVELS IN SANDY PINELANDS SOILS
MORPHOLOGIC AND COLOR PATTERN INDICATORS OF WATER TABLE LEVELS IN SANDY PINELANDS SOILS

 

作者: ROBERT ZAMPELLA,  

 

期刊: Soil Science  (OVID Available online 1994)
卷期: Volume 157, issue 5  

页码: 312-317

 

ISSN:0038-075X

 

年代: 1994

 

出版商: OVID

 

数据来源: OVID

 

摘要:

Growing season (March-October) water table levels were measured over a 4-year period, and soil profiles were described along a gradient of upland to wetland pitch pine-dominated sites in the New Jersey Pinelands. These sites were associated with very poorly to somewhat poorly drained soils of the Lakewood sand catena. Although several profile attributes were more closely associated with specific ranges of water table levels, few features were, limited to a specific hydrologic regime. O and A horizon thickness and frequency of very dark gray to black A horizons generally decreased along the wet to dry hydrosequence. E horizon thickness was variable and unrelated to water table level. Bh horizons with values and chromas of 2 or 3 characterized soils with first quartile water tables from 15.1 to 60 cm from the surface. Chromas of 1–4 dominated all but the driest soils. Relatively bright high chroma, horizons, with or without low chroma mottling (chromas ≤ 2), were most common in soils with first quartile water levels greater than 45 cm from the surface, yet they also occurred in some of the most frequently saturated soils. In most cases, low chroma mottles as well as the lower surface of high chroma horizons without mottling were found at or below the highest water level recorded during the study period. These results suggest that soil features are not absolute indicators of water table level in somewhat poorly drained and very poorly drained soils of the Lakewood catena. A dual parameter approach that considers both soil features and vegetation to determine water levels provides a more accurate estimate of hydrologic conditions in these soils. Estimates based on one parameter should not be discounted when that parameter clearly characterizes hydrologic regime

 

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