Zoneamento agro-climático da cana-de-açúcar para o estado de Minas Gerais com base em regressões múltiplas

Almeida, Thomé Simpliciano; Calijuri, Maria Lúcia; Pinto, Luiz Fernando Spinelli

doi:10.1590/s0102-77862013000300011

Cited by 3 publications

(2 citation statements)

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“…The data of air temperature, precipitation and hydric deficit were chosen because they are the main parameters representing the thermal and water conditions for the planting of eucalyptus (Ribeiro et al, 2009), which are also used in several other climatic zoning studies (Almeida et al, 2013;Barbieri et al, 2015;Pádua et al, 2014;Pezzopane et al, 2010;Santos et al, 2016).…”

Section: Studied Area and Databasementioning

confidence: 99%

Climatic zoning for eucalyptus cultivation through strategic decision analysis

Fraga¹,

Uliana²,

Silva³

et al. 2018

Rev. ambiente água

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The rapid expansion of eucalyptus cultivation necessitates studies that can identify areas amenable to the planting and development of its different varieties. This study therefore aimed to verify the suitability of two varieties of eucalyptus in the state of Espírito Santo, using Geographic Information Systems supported by strategic decision analysis. Mean precipitation, mean temperature, hydric deficit and land slope data were used as decision factors. These factors were submitted to fuzzy standardization, aggregated and compensated by the Weighted Linear Combination (WLC) process, resulting in the final aptitude mapping. For the reconciliation of conflict areas between the varieties, the Multi-objective Land Allocation (MOLA) module was used to maximize the suitability of the land for the objective. The WLC analysis allowed us to identify the suitability of the areas and with the use of the MOLA module it was possible to resolve the conflict of suitability between the two eucalyptus varieties. Most of the state of Espírito Santo is highly suitable for the the development of varieties. The northwestern region and part of the northern region presented less suitability for both analyzed eucalyptus varieties. Considering the 10,000 km 2 most adaptable area for eucalyptus cultivation in the state of Espírito Santo, it was verified that the most suitable areas for planting the two eucalyptus varieties are located in the mountainous regions, part of the southern region and near the northeastern coast.Keywords: agricultural aptitude, Espírito Santo state, fuzzy logic.Zoneamento climático para cultivo de eucalipto por meio de análise estratégica de decisão RESUMO A rápida expansão do eucalipto leva à necessidade de estudos que identifiquem áreas com aptidões climáticas para a implantação e desenvolvimento dos seus diferentes tipos de espécies. Assim sendo, este trabalho teve como objetivo verificar a aptidão de áreas para a implantação de duas espécies de eucalipto no estado do Espírito Santo, utilizando Sistemas de Informações Geográficas apoiado em análise estratégica de decisão. Na análise foram utilizados como fatores de decisão dados de precipitação média, temperatura média, déficit hídrico e declividade do estado do Espírito Santo. Estes fatores foram submetidos à padronização fuzzy, agregados e compensados pelo processo de Combinação Linear Ponderada (WLC), resultando no mapeamento final de aptidão. Para a conciliação das áreas de conflito entre as espécies utilizouse o módulo para Alocação Multi-objetiva do Terreno (MOLA), maximizando assim a adequabilidade do terreno para o objetivo. A análise WLC permitiu identificar a adequabilidade das áreas e com o uso do módulo MOLA foi possível resolver o conflito de adequabilidade entre as duas espécies de eucalipto. A maior parte do estado do Espírito Santo apresenta alta adequabilidade para o desenvolvimento das espécies, sendo a região noroeste e parte da região norte as que apresentaram menor adequabilidade para ambas as espécies de eucalipto analisadas. Co...

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Section: Studied Area and Databasementioning

confidence: 99%

Climatic zoning for eucalyptus cultivation through strategic decision analysis

Fraga¹,

Uliana²,

Silva³

et al. 2018

Rev. ambiente água

Self Cite

View full text Add to dashboard Cite

show abstract

“…In order to identify suitable areas for eucalyptus planting, air temperature, precipitation, hydric deficit and land slope data were used. The data of air temperature, precipitation and hydric deficit were chosen because they are the main parameters representing the thermal and water conditions for the planting of eucalyptus (Ribeiro et al, 2009), which are also used in several other climatic zoning studies (Almeida et al, 2013;Barbieri et al, 2015;Pádua et al, 2014;Pezzopane et al, 2010;Santos et al, 2016).…”

Section: Studied Area and Databasementioning

confidence: 99%

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2018

Rev. ambiente água

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The state of Bahia's main climatic characteristic is the high spatial and chronological variability of precipitation. This heterogeneity may be used to determine of pluviometrically homogeneous areas that can define mesoregions in the state, since they allow better management of water resources and help in the elaboration of agricultural studies. The mesoregions already proposed by the scientific community for the state were based only on the annual precipitation in the proximity of the pluviometric stations. In this paper, besides these parameters, spatial and chronological rainfall distribution was considered, i.e., the Precipitation Concentration Degree (PCD) and Precipitation Concentration Period (PCP). The new zoning is based on an update of a study defined in 2000 that divided Bahia into eight mesoregions. Thus, 180 pluviometric stations were distributed throughout the state and grouped conforming to the division previously described. It was concluded that some stations of the same mesoregion had presented conflicting values for the analyzed parameters and, therefore, should not belong to the same area. Starting from an arrangement of the collection stations, considering their proximity, annual precipitation and statistical parameters, a new zoning for Bahia with 10 clusters was defined and validated through the statistical treatment of data.

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