By choosing, or identifying, with a certain science, the researcher encounters infinity of search lines, each of which contains their reciprocal methodologies, techniques and theoretical references that give him the theoretical and conceptual input necessary for the full development of the research, and thus the science to which he is dedicated. To this end, a theoretical and methodological rescue of concepts, lines and research and applications involving agro-climatic zoning techniques has been sought. Initially, within the plant bioclimatology it faces various classifications of search lines, such as Agricultural Meteorology, Agricultural Climatology, Agrometeorology and Agroclimatology. Regardless of the subject matter of the study addressed by the research lines of Plant Bioclimatology, there is a methodology that is widely used by researchers: agro-climate Zoneisation, which can be classified as the demarcation of the suitability of the growing regions with regard to the climatic factor at macroclimatic and regional scales. In addition to climatic attributes, agricultural Zoneisation takes into account the combination of factors such as soil (soil zoning) and socio-economic environment, with a view to organising the rational distribution of economically profitable crops, respecting the social and cultural characteristics of each region and thus serving as a basis for territorial land use planning. The Ecological Zoneisation, or soil and climate, is considered to complement the natural potential of a given region for a given crop, in which, in addition to the climate, soil or soil aspects are included in the study and are generally considered on the same scale of analysis of agro-climatic zoning. Finally, the climate-risk agricultural zoning, in addition to the variables analysed (climate, soil and plant), applies mathematical and statistical functions (frequency and probabilistic) with the aim of quantifying the risk of lake loss based on the history of adverse climatic events, mainly drought and frost events, particularly in average latitudes.