3.3 Regional Implementation of the FAO Global Ecological Zone System
A preparatory survey indicated that most regions have recent and dependable potential vegetation maps which are amenable to matching with Köppen climatic types. In some cases, such as the USA, vegetation classes are a sub-class of Köppen Climatic types. Here the translation is direct. In other cases, a study of mapping criteria, including physiognomy, phenology, floristics and dynamics of vegetation types, will be needed (FAO 1989).
There are other benefits of using the existing country/regional maps. They could form the basis or provide supporting information for further sub-division of global types. This may be done either now for the current FRA2000 or later. One such sub-division is lowland and hill/mountain forests, which can be implemented with the help of existing digital terrain data validated by vegetation maps. It may be noted that climate determines the zonal or climax vegetation types. The physiography acts as a modifier of the zonal vegetation and gives rise to azonal forms, for instance wetlands or heath.
The country/regional vegetation maps will also help in harmonisation of type boundaries across countries or regions which will be a problem in the global mapping. The ecological zones are expected to associate in adjoining regions/maps. This fact will provide an important basis for edge matching of EZ polygons in two maps. It is expected that experts attending the FAO/ WCMC/ EDC Consultation will contribute in a major way to define ecological zones of their respective regions as well as in edge matching of the same in adjoining geographic region.
The following is an outline of general steps for defining and mapping the Global FAO ecological zones region by region. They are divided in conceptual, thematic steps and technical production steps.
3.3.1 Conceptual and Thematic Issues
Collection and study of relevant maps and information : Locate and study suitable regional/national existing maps of climate, potential vegetation or ecoregions. Include all available maps for the concerned region. For example, in the North America case study, maps of Canada and USA were studied together. Those that are suitable should have detailed vegetation information and topographic effects on vegetation distribution. Depending on regions, the scale of such maps should be smaller than 1 million. Be sure to have access to both paper and digital versions of the maps. First, identify Köppen climate types occurring in the country or region (see Table 1), which are the approximate boundaries of FAO EZ Level 2. Then, make an in-depth study of the ecological – and /or vegetation maps, focusing on classification principles and - criteria used. Consult with regional experts, i.e. authors of maps and publications, to fully comprehend the information. Make a reference list of all source data used.
Matching or aggregating national/regional classes into the Global Ecological zones. Based on the in-depth study, establish the relation between national/regional vegetation types or ecoregions and the Global Level 2 Ecological zones. (Aggregation to FAO Level 1 is then straightforward). This usually involves aggregation of a number of regional classes into one Ecological zone. Then produce an "equivalence " table for the region, showing the correspondence between the regional classes and the Global Ecological zones Level 1 and 2. A documentation and explanation of the matching has to be made for review and evaluation purposes. This should include the description and definition of the regional vegetation types or – ecosystems.
3.3.2 Map production and Technical Issues
Both the existing FRA90 EZ and several existing regional maps have been produced using ESRI Arc/Info GIS software system. Thus, it is convenient for the rest of the work to be conducted on Arc/Info, or at least Arc/Info importable. Study the digital map in the Arc/Info coverage environment and make sure the digital version has appropriate attributes for the polygons. Edit the coverage and add attributes for each FAO EZ levels (at least 1 and 2). Produce graphics of FAO EZ at each level for the entire region.
For polygon edge-matching problems along country/regional boundaries, there could be two related causes. One is due to mismatch of polygon definition translations between polygons of both sides, as stated earlier. This problem is easy to solve -- simply go back to the original maps and make sure the translation is correct. The other cause is due to offset of lines of the polygons on both sides, even though they may have the same labels. For this problem, we would have to manually edit the coverage and change locations of the lines. It would help this step by underlying any of the following with the digital EZ map: composite of NOAA AVHRR spectral bands, classified continental-scale land cover (such as the USGS global land cover database), and digital elevation model (DEM) data. For North America (Canada and USA), the edge-matching problem was fortunately minimal.
To summarize, the resulting output from a regional EZ production should include the following: Arc/Info coverage of EZ map with attributes of each EZ levels, graphics (e.g., GIF images) of the two (or three) levels of EZ, a table containing the levels of EZ and corresponding labels or codes of the input regional maps. For these output materials, see the North America study (Annex A) as an example.
3.3.3 Potential Production Problems
From the perspective of EZ production, there are still some issues that potentially can affect the progress of producing regional and ultimately global EZ.
Availability of suitable regional/national maps. For some regions o
r countries, maps may not exist that have suitable scale, information content, or quality. It is also possible that some regions have paper maps but not their digital version. One solution is to use as an alternative the few available global-scale maps (e.g., the WWF world ecoregions map in combination with a climate map based on Köppen).
Edge matching of cross-boundary polygons. Two sticking points here: 1) it can become complicated when different classification principles have been used for the two bordering maps, and 2) manual editing is not elegant.
3This is largely because Köppen derived his climate classes from observations on the distribution of natural vegetation types on various continents (Köppen 1931).
4Among the existing climate classification systems, the one by Köppen is found to be the least demanding on data, which is primarily based on precipitation and temperature ? an important consideration from the production standpoint and may account for its wide use. As meteorological stations around the world routinely collect values for these attributes and the information is generally available in existing maps, this was seen as an additional advantage from the perspective of producing the map and database, which would require a relatively consistent global distribution of input data. Other global climate classification systems, for example, Thornwaite (1931) and Holdridge (1966), call for evapo-transpiration data, which is not uniformly available at the global level.
5The FAO ecological zone maps developed during Forest Resources Assessment 1990 for the tropics used a similar approach. A hierarchal system was adopted, using climatic and physiographic factors for identifying the regional classes or ecological zones. These zones were defined by aggregation of more detailed ecofloristic zones (EFZ). The classification criteria for EFZ included physiognomy, phenology, floristics and vegetation dynamics of vegetation (FAO, 1989). The dominant or characteristic species of the natural flora were used as indicators. Boundaries of ecofloristc zones were delineated with the help of existing potential, mostly national, vegetation maps, and brought to a common classification and scale. Class boundaries were delineated using standardised vegetation maps of the tropical regions.
6A more detailed regional classification system similar to that carried out for FRA90 may be conducted for regions. Concept and principles for more detailed schemes that use elevation and other parameters will be discussed during the Cambridge Expert meeting, July 1999.
7For this part of the work, FAO will rely heavily on the advice of regional experts specialising in ecological zoning and mapping.


