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FAO land evaluation a-a1080e
40 2019 ND-CP 413905
Soil potential ratings (Beatty et al., 1979) are classes that indicate the relative quality 
of a soil for a particular use compared with other soils of a given area. The following 
are considered in assigning ratings: (1) yield or performance level, (2) the relative cost 
of applying modern technology to minimize the effects of any soil limitations, and (3) 
the adverse affects of any continuing limitations on social, economic, or environmental 
values.
Land Evaluation and Site Assessment (LESA) is used to define an approach for 
rating the relative quality of land resources based upon specific measurable features 
(USDA 1983). The California Agricultural LESA is intended to provide lead agencies 
with an optional methodology to ensure that significant effects on the environment 
of agricultural land conversions are quantitatively and consistently considered in the 
environmental review process. LESA is composed of two land evaluation factors, i.e. 
Land Capability Classification and Storie Index, and four site assessment factors, which 
are based on a given project’s size, water resources availability, surrounding agricultural 
land, and surrounding protected resource land. For a given project, each of these six 
factors is separately rated on a 100 point scale, weighted relative to one another and 
combined, resulting in a single numeric score for a given project, with a maximum 
attainable score of 100 points. Based upon a range of established scoring thresholds, 
the final score determines a project’s potential significance. A typical LESA may use 
up to 30 individual factors, many of which are subjective but transparent (Coughlin et 
al., 1994). All factors are then combined into 6 final factors before arriving at a single 
project rating.


Chapter 2 – Historical development
9
Although yields may vary with many agro-environmental factors, they provide 
an extremely useful dataset of objective measurements that form the basis of many 
agricultural, environmental and food security policies. It is therefore not surprising 
that there are so many world-wide databases on yield and yield estimates (FAO, FSS 
Eurostat; and FAO, MARS; see Annex 2). Yields may be estimated by reference to 
yields on benchmark soils or may be predicted using crop models.

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