COMBINING CROP GROWTH-MODELS AND GEOGRAPHICAL INFORMATION-SYSTEMS FORAGRICULTURAL MANAGEMENT - A CASE-STUDY OF LEY PRODUCTION POTENTIAL ASAFFECTED BY LOCAL TEMPERATURE-VARIATION AND SOIL-WATER CAPACITY
B. Magnusson et M. Soderstrom, COMBINING CROP GROWTH-MODELS AND GEOGRAPHICAL INFORMATION-SYSTEMS FORAGRICULTURAL MANAGEMENT - A CASE-STUDY OF LEY PRODUCTION POTENTIAL ASAFFECTED BY LOCAL TEMPERATURE-VARIATION AND SOIL-WATER CAPACITY, Acta agriculturae Scandinavica. Section B, Soil and plant science, 44(2), 1994, pp. 65-74
A crop growth model was integrated with a geographical information sys
tem (GIS) in order to quantify the impact of local temperature variati
on and soil water capacity on ley production. At most, local temperatu
re differences resulted in a 5% difference in estimated grass yields d
uring a dry year. The yield was on average 50% lower in sandy soils co
mpared with clay soils. As compared with a year with normal precipitat
ion, the estimated yield was about 40% lower in sandy soils and 15-20%
lower in clay soils. A combined application of crop growth models, to
poclimatic information and GIS can be a useful tool in resource mappin
g and agricultural planning and management.