Sinergias entre instabilidade pluviométrica e a produção de lavouras alimentares de sequeiro no semiárido do estado do Ceará - Brasil
The research tries to answer the following question: how do rainfall and rainfall instabilities interact with the defining variables of the production of rainfed food crops studied in the eight (8) climatic regions classified by FUNCEME for the state of Ceará? To answer this question we used series...
| Autores: | , , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2023 |
| País: | Brasil |
| Institución: | Universidade Federal do Ceará (UFC) |
| Repositorio: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
| Idioma: | portugués |
| OAI Identifier: | oai:repositorio.ufc.br:riufc/74464 |
| Acceso en línea: | http://repositorio.ufc.br/handle/riufc/74464 |
| Access Level: | acceso abierto |
| Palabra clave: | CIENCIAS AGRARIAS Regiões áridas - Ceará Instabilidade pluvial Produtividade agrícola Agricultura de sequeiro Ceará semiarid Pluvial instability Instability of dryland crops Agricultural production Dryland agriculture |
| Sumario: | The research tries to answer the following question: how do rainfall and rainfall instabilities interact with the defining variables of the production of rainfed food crops studied in the eight (8) climatic regions classified by FUNCEME for the state of Ceará? To answer this question we used series of annual rainfall covering the period 1974 to 2019, and series of productivity values of the production of rainfed food crops: beans, cassava and corn for the same period. To seek the interaction between the rainfall and their instabilities the synergy index (SIN) was created that aggregates the variables using the factor analysis method with the principal component decomposition technique. The SIN was able to capture the differences between the eight regions of Ceará and, from it was possible to make the hierarchy of these regions in descending order. Therefore, the research, besides answering the question that motivated it, showed how the variables used to define the crop yields in the climatic regions behaved, besides capturing the instabilities. |
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