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The climatic change in the planet has directly impacted in agricultural results. Conversely, the changes that humanity has carried out to produce agricultural products has impacted in the climatic changes, e.g., the deforestation. That is why there exist complex causal relationships between the climate and the agriculture. A mathematical tool, which has proved its efficacy to study causal relationships among different variables, is the cognitive map, where such relationships are straightforwardly represented in form of directed graphs. This idea was generalized when fuzzy cognitive maps were introduced, it is there considered that those relationships can be partial. The neutrosophic cognitive maps generalize even more this technique, in such a way that possibility of indeterminacy among the variables, due to ignorance, contradiction, inconsistency or other causes, is considered. This paper aims to study causal relationships among the climatic vulnerability variables in the agricultural sector. For this end, we applied neutrosophic cognitive maps. [ABSTRACT FROM AUTHOR]