Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Marc P. Vayssières"'
Autor:
Marc P. Vayssières, Richard E. Plant
Publikováno v:
Computers and Electronics in Agriculture. 27:71-93
Ecosystem management, which is aimed at maintaining resources such as wildlife diversity, water quality, fire protection or aesthetic values, requires a regional or landscape perspective. Using a spatially explicit simulation model to test ‘what-if
Publikováno v:
Journal of Vegetation Science. 11:679-694
The use of Generalized Linear Models (GLM) in vegetation analysis has been advocated to accommodate complex species response curves. This paper investigates the potential advantages of using classification and regression trees (CART), a recursive par
Autor:
R. O. Miller, L. F. Jackson, A. Mermer, G. S. Petty Grove, K. Phelps, Richard E. Plant, Marc P. Vayssières, J. A. Young, R. F. Denison
Publikováno v:
Transactions of the ASAE. 42:1187-1202
Three irrigated wheat fields in western Yolo County, California, were studied to determine the magnitude and causes of spatial variability in grain yield. Point samples of soil properties were taken on a regular 61 m grid in each field. False color i
Publikováno v:
California Agriculture, Vol 47, Iss 6, Pp 36-40 (1993)
Livestock grazing in late spring and early summer resulted in large reductions of yellow starthistle, Centaurea solstitialis, on infested annual grasslands. Grazing in the bolting stage before spines developed reduced starthistle's canopy size, seed
Publikováno v:
1993 4th Annual Conference on AI, Simulation and Planning in High Autonomy Systems.
A monitoring and forecasting system is needed for bioregional planning, natural resource policy analysis and management strategy testing in California. The advantages of qualitative, rule-based models, and a state-transition paradigm to build ecosyst
Publikováno v:
Journal of Range Management. 52:51
We present a method for computerizing the transition rules of a state-and-transition model and then linking this model to a geographic information system. The resulting simulation characterizes rangeland vegetation dynamics in space and time. The met