Prediction for the distribution of diseases and insect pests in Cornus officinalis based on GIS
BAI Yuan, WANG Yaohui, KANG Jiefang*, WANG Zhezhi
(Key Laboratory of Ministry of Education for Medicinal Resources and Natural Pharmaceutical Chemistry,National Engineering Laboratory for Resource Developing of Endangered Chinese Crude Drugs in Northwest of China,School of Life Sciences, Shaanxi Normal University, Xi′an 710119, Shaanxi, China)
Abstract:
Based on the meteorological data, the temporal and spatial distribution, the major diseases and insect pests data collected from Cornus officinalis producing areas (including 200 stations over China), we established a model for forecasting diseases and insect pests in Cornus officinalis by using IDW(inverse distance weight)method.The results showed thatthis model has isvisual character. Meanwhile this model can be used for predicting the occurrence and distribution in diseases and insect pestsof Cornus officinalis.
KeyWords:
Cornus officinalis; diseases and insect pests; GIS; prediction
