Linkages between FAO agroclimatic data resources and the development of GIS models for control of vector-borne diseases

被引:25
作者
Bernardi, M [1 ]
机构
[1] UN, Environm & Nat Resources Serv, Food & Agr Org, I-00100 Rome, Italy
基金
美国国家航空航天局;
关键词
FAO; GIS models; vector-borne diseases;
D O I
10.1016/S0001-706X(01)00100-0
中图分类号
R38 [医学寄生虫学]; Q [生物科学];
学科分类号
07 ; 0710 ; 09 ; 100103 ;
摘要
The Food and Agriculture Organization (FAO) of the United Nations is the largest specialized UN Agency dealing with agriculture, forestry and fishery. particularly in the developing countries. One of its technical services, placed under the Sustainable Development Department, has the responsibility to provide information on environment and natural resources as related to food and agriculture. It includes, among others, expertise in remote sensing, geographic information systems and agrometeorology, production of global environmental digital datasets, meteorological and remote sensing data collection and analysis at near real-time. development of methodologies, models and tools for data standardization. collection, spatialization. analysis and dissemination, networking and information sharing, development of integrated information management systems. Some experience has also been gained in the use of climatic digital datasets: for spatial modeling of crop pests and diseases. The description of mapping the distribution of the Western Corn rootworm (Diabrotica virgifera) in Europe as a function of environmental conditions is presented as well as the global assessment of environmental potential constraints based on processing of digital datasets. A simple spatial interpolation routine is: briefly explained. (C) 2001 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:21 / 34
页数:14
相关论文
共 7 条
[1]  
[Anonymous], 1972, MODELLING PRIMARY PR
[2]  
BOGAERT P, 1995, COKRIGING SOFTWARE S, V10
[3]  
*FAO USGS USAID FE, 1995, V42 FAOUSGSUSAIDFEWS
[4]  
HOEFSLOOT P, 1995, IGT MANUAL
[5]  
Koppen W., 1936, HDB KLIMATOLOGIE, V1
[6]  
Leemans R., 1991, RR9118 INT I APPL SY
[7]  
WOODSON WD, 1993, J KANSAS ENTOMOL SOC, V66, P104