Global Agro-Ecological Zones Assessment: Methodology and Results

Over the past twenty years, the term "agro-ecological zones methodology" (AEZ) has become widely used. However, it has been associated with a wide range of different activities that are often related yet quite different in scope and objectives. FAO and IIASA differentiate the AEZ methodology in the following activities: First, AEZ provides a standardized framework for the characterization of climate, soil and terrain conditions relevant to agricultural production. In this context, the concepts of Length of Growing Period (LGP) and of latitudinal thermal climates have been applied in mapping activities focusing on zoning at various scales, from sub-national to global level. Second, AEZ matching procedures are used to identify crop-specific limitations of prevailing climate, soil and terrain resources, under assumed levels of inputs and management conditions. This part of the AEZ methodology provides estimates of maximum potential and agronomically attainable crop yields for basic land resources units. Third, AEZ provides the frame for various applications. The previous two sets of activities result in very large databases. The information contained in these data sets form the basis for a number of AEZ applications, such as quantification of land productivity, extents of land with rain-fed or irrigated cultivation potential, estimation of the lands population supporting capacity, and multi-criteria optimization of land resources use and development. The AEZ methodology utilizes a land resources inventory to assess, for specified management conditions and levels of inputs, all feasible agricultural land-use options and to quantify expected production of cropping activities relevant in the specific agro-ecological context. The characterization of land resources includes components of climate, soils and landform. Recent availability of digital global databases of climatic parameters, topography, soil and terrain, and land cover has allowed for revisions and improvements in calculation procedures and to expand assessments of AEZ crop suitability and land productivity potentials to temperate and boreal environments. This effectively enables global coverage for assessments of agricultural potentials. The AEZ methodologies and procedures have been extended and newly implemented to make use of these digital geographical databases, and to cope with the specific characteristics of growing periods in the seasonal temperate and boreal climates. This report describes the methodological adaptations necessary for the global assessment and illustrates with numerous results a wide range of global AEZ applications.

[1]  C. A. Diepen,et al.  Crop-specific simulation parameters for yield forecasting across the European Community , 1993 .

[2]  W. Cramer,et al.  The IIASA database for mean monthly values of temperature , 1991 .

[3]  G. Fischer SOILS OF RUSSIA Correlated with the Revised Legend of the FAO Soil Map of the World , 1999 .

[4]  R. Di Pietro Population density. , 1973, Science.

[5]  C. T. Wit Photosynthesis of leaf canopies , 1965 .

[6]  Josef M. Oberhuber,et al.  Simulation of the atlantic circulation with a coupled sea ice-mixed layer-isopycnal general circulat , 1993 .

[7]  P. Tempel Global and National Soils and Terrain Digital Databases (SOTER) Attribute Database User Manual , 1995 .

[8]  Guenther Fischer,et al.  World agriculture: Towards 2010. An FAO study , 1995 .

[9]  M. Claussen,et al.  The atmospheric general circulation model ECHAM-4: Model description and simulation of present-day climate , 1996 .

[10]  The Soil under Shifting Cultivation , 1962 .

[11]  G. Fischer,et al.  Soil Data Derived from WISE for Use in Global and Regional AEZ Studies (Version 1.0) , 1997 .

[12]  Robert Sausen,et al.  Simulation of the present-day climate with the ECHAM model: Impact of model physics and resolution , 1992 .

[13]  G. Fogg The state and movement of water in living organisms. , 1966, Journal of the Marine Biological Association of the United Kingdom.

[14]  G. M. Higgins,et al.  Potential Population Supporting Capacities of Lands in the Developing World , 1984 .