Soil Based Vegetation Productivity Model for the North Dakota Coal Mining Region
Titel:
Soil Based Vegetation Productivity Model for the North Dakota Coal Mining Region
Auteur:
Burley, Jon Bryan Fowler, Gary W. Polakowski, Ken Brown, Terry J.
Verschenen in:
International journal of mining, reclamation and environment
Paginering:
Jaargang 15 (2001) nr. 4 pagina's 213-234
Jaar:
2001-12
Inhoud:
In our study, we addressed the development of an agricultural productivity equation within a landscape context for the North Dakota coal fields in Oliver, Mercer, and Dunn counties. The procedure employed principal component analysis to develop a combined vegetation yield variable from spring wheat ( Triticum aestivum L.), barley ( Hordeum vulgare L), oat ( Avena sativa L.), grass/legume, Eastern red cedar ( Juniperus virginiana L.), ponderosa pine ( Pinus ponderosa var. scopulorum Engelm.), green ash ( Fraxinus pennsylvanica Marsh.), Siberian peashrub ( Caragana arborescens Lam.), American plum ( Prunus americana Marsh.), and common chokecherry ( Prunus virginiana L.). The best equation we developed to predict plant growth in the surface mining portion of the study area contained an R 2 = 0.66 and an overall p-value of 0.0001. The regression coefficients were stable under bootstrap and jackknife evaluation procedures and worked relatively well with a subsampling procedure. The equation correlated (0.7301) with reclaimed soil field trials.