The aim of this study was to spatially determine frost risk at a high resolution (80 m) and develop new rules catered to viticultural suitability with respect to frost sensitivity for vines after budburst in spring across the state of Tasmania, Australia. This study was able to successfully employ fuzzy logic to help decision-makers, growers, and others with conducting a precise land assessment for wine grape production.īackground and Aims: New sites for viticulture should be located in areas where damaging spring frosts are less frequent and/or severe in order to remain economically viable. The results of this study revealed that 11% of the total study area had a high potential for wine grape production. The evaluation indicated that 97% of the established vineyards have a vineyard-potential score that ranges from 0.8 to 1.
The maps were evaluated by comparing the range of suitability scores of existing vineyards in Washington State. The final vineyard-potential scores were obtained by combining the soil, weather, and topographic potential scores with a range from 0 to 1, where 0 pertained to non-suitable areas and 1 referred to optimal sites. The bioclimatic indices, soil, and topographic data were then transformed using fuzzy logic, and suitability maps with scores ranging from 0 to 1 were developed. Soil data and topographical data were also included in the system.
BUILDING BROWN NUMBER PRESS 611P FREE
Included in this system were several bioclimatic indices, such as Growing Degree Days (GDD), Frost Free Days (FFD), and the Huglin Index (HI) calculated over a period of 30 years using daily weather data obtained from the University of Idaho’s Gridded Surface Meteorological (UI GSM) dataset. The main objective of this study was the development of a comprehensive system to aid in the selection of suitable areas for grapevine cultivation. This is especially relevant for wine grape (Vitis vinefera L.) production. Of the surveyed orchard acreage, over 50% lies within the suitable or better ranking.ĭeveloping a sustainable agricultural production system requires knowledge of the climate, soil, and topography of the area of interest. Of the surveyed vineyard acreage, over 81% lies within the suitable or better ranking according to the model. A portion of the existing orchard and vineyard acreage (223 ha) in the study area were surveyed with a global positioning system. In the study area, over 18,155 hectares of land highly suitable or suitable for viticulture were identified. The resulting four layers were arithmetically summed and suitability maps with 760 m2 resolution were developed. Lands that promoted ease of conversion to vineyards were assigned the most points in the current land use layer. Soils that drained well or moderately well with moderate organic matter content (2 to 3%) received the most points in the soil properties layer. Locations in the study area above 259 m in absolute elevation (above sea level), with gently rolling slopes (5 to 10%), and facing North, East, or Northeast received the most points within the mesoscale climate layer. Using the same DEMs, absolute elevation, slope, and aspect were reclassified using surface analysis of the terrain to model the effects of mesoscale climate variables in Jackson and Union Counties in Illinois (study area). Macroscale climate variables, growing degree day summation for a 33-year period (1969-2002) and occurrence of -26☌ were interpolated using thin plate smoothing splines over the Illinois terrain using 100 m2 resolution digital elevation models (DEM). The model included a macroscale climate variables layer (40 points), a mesoscale climate variables layer (40 points), a soil properties layer (10 points) and a current land use variables layer (10 points) for a possible 100 points. Geographic information system (GIS) technologies and a weighted linear indexing model were used for suitability analysis of potential vineyard sites in Illinois.
0 kommentar(er)
