Soil Wind Erodibility Index in Seven North Central States
Soil Wind Erodibility Index in Seven North Central States
复制标题
DOI：
10.13031/2013.30875
复制
发表时间：
1988
影响因子：
1.5
通讯作者：
L. Lyles;J. Tatarko
中科院分区：
文献类型：
--
作者：
L. Lyles;J. Tatarko
应用多元回归方程估算了爱荷华州、堪萨斯州、密歇根州、明尼苏达州、北达科他州、俄亥俄州和南达科他州秋季耕作后和春耕前风蚀指数--直径0.84 mm的干团聚体百分比。影响秋季指数的显著变量是土壤质地(沙、粉质、粘土)、有机质、交换性钙、位置和耕作管理方式。这些变量中的大多数加上累积降水量(秋季和春季之间)和秋季指数影响春季指数。作物种类对这两个指标都没有影响。除特别指出的例外情况外，出现在风蚀方程中的土壤可蚀性系数(I)约为土壤保育局分配给所研究土壤的可蚀性系数的25%。秋季回归方程可能有助于估计耕作后的总粒级分布，这是农业研究服务局正在开发的新的风蚀预测系统(WEPS)所需的参数。
ABSTRACT MULTIPLE regression equations were developed to estimate the wind erodibility index — percent dry aggregates > 0.84 mm in diameter — in Iowa, Kansas, Michigan, Minnesota, North Dakota, Ohio, and South Dakota following fall tillage and again before spring tillage. Significant variables affecting the fall index were soil texture (sand, silt, clay), organic matter, exchangeable calcium, location, and kind of tillage management. Most of these variables plus cumulative precipitation (between fall and spring) and the fall index affected the spring index. The kind of crop did not influence either index. With noted exceptions, the derived soil erodibility factors (I), which appear in the wind erosion equation, were within about 25% of those assigned by the Soil Conservation Service to the soils studied. The fall regression equation may be useful for estimating aggregate size distribution following tillage, a parameter needed for the new wind erosion prediction system (WEPS), now under development by the Agricultural Research Service.