Impacto do Plantio de Soja e do Oceano Pacífico Equatorial na Precipitação e Temperatura na Cidade de Chapadinha-MA (Impact of Soybean Planting and Equatorial Pacific Ocean Temperature and Precipitation in the City of Chapadinha-MA)

O Estado do Maranhão possui uma economia voltada para a agropecuária que engloba atividades relevantes como a criação de bovinos e o cultivo de arroz. Recentemente ocorreram mudanças importantes no sistema de produção agrícola pela introdução da soja substituindo áreas de cerrado. Neste trabalho é feita uma análise da variabilidade climática na região de Chapadinha MA utilizando dados mensais de precipitação e das temperaturas máximas e mínimas. Na quantificação do impacto da soja na variabilidade da precipitação, as análises foram concentradas no período de 1977 a 2009. A técnica da análise de variância e o teste t-Student foram usadas como principais ferramentas estatísticas na análise dos dados. Os resultados mostram que as alterações na cobertura e uso da terra afetaram o clima local. As principais mudanças foram observadas na temperatura mínima.Palavras - chave: Climatologia, impacto ambiental, soja, variabilidade interanual Impact of Soybean Planting and Equatorial Pacific Ocean Temperature and Precipitation in the City of Chapadinha-MA ABSTRACTThe State of Maranhão has an economy facing agriculture encompassing relevant activities such as cattle and rice cultivation. Recently there were major changes in agricultural production system by introducing soy replacing grassland areas. This paper presents an analysis of climate variability in the region of MA Chapadinha using monthly data of precipitation and maximum and minimum temperatures. In quantifying the impact of soy on rainfall variability, the analyzes were concentrated in the period from 1977 to 2009. The technique of analysis of variance and t-Student test were used as the main statistical tools for data analysis. The results show that changes in land use and cover affected the local climate. The major changes were observed in the minimum temperature.Keywords: Climatology, environmental impact, soybeans, interannual variability

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RAINFALL VARIABILITY AND THE WALKER CELL IN THE EQUATORIAL PACIFIC OCEAN

Weather ◽

10.1002/j.1477-8696.1976.tb04395.x ◽

1976 ◽

Vol 31 (2) ◽

pp. 34-47 ◽

Cited By ~ 2

Author(s):

L. F. Musk

Keyword(s):

Pacific Ocean ◽

Rainfall Variability ◽

Equatorial Pacific ◽

Equatorial Pacific Ocean ◽

Walker Cell

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Effects of horizontal mixing on the upper ocean temperature in the equatorial Pacific Ocean

Acta Oceanologica Sinica ◽

10.1007/s13131-012-0171-6 ◽

2012 ◽

Vol 31 (1) ◽

pp. 16-23 ◽

Cited By ~ 1

Author(s):

Chuanjiang Huang ◽

Fangli Qiao

Keyword(s):

Pacific Ocean ◽

Equatorial Pacific ◽

Upper Ocean ◽

Ocean Temperature ◽

Equatorial Pacific Ocean ◽

Horizontal Mixing

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Indian Ocean temperature dipole and SSTA in the equatorial Pacific Ocean

Chinese Science Bulletin ◽

10.1360/02tb9056 ◽

2002 ◽

Vol 47 (3) ◽

pp. 236 ◽

Cited By ~ 14

Author(s):

Chongyin LI

Keyword(s):

Pacific Ocean ◽

Indian Ocean ◽

Equatorial Pacific ◽

Ocean Temperature ◽

Equatorial Pacific Ocean

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Precipitation Variability and its Teleconnection with the Global SST and ENSO Indices in the Food Insecure Rural Areas of Tigray

10.21203/rs.3.rs-583137/v1 ◽

2021 ◽

Author(s):

Tewelde Gebre ◽

Zenebe Abreha ◽

Amanuel Zenebe ◽

Woldegebrial Zewold

Keyword(s):

Pacific Ocean ◽

Rural Areas ◽

Food Production ◽

Precipitation Variability ◽

Equatorial Pacific ◽

Significant Decline ◽

Equatorial Pacific Ocean ◽

Average Precipitation ◽

The Impact ◽

Enso Indices

Abstract The impact of precipitation variability on food production is very significant. For food insecure rural areas, understanding the nature of precipitation variability and its teleconnection has paramount importance in guiding regional and local level decisions. In this study, we analyzed the monthly, seasonal and annual precipitation variability and the strength of its teleconnection with the global sea-surface temperature (SST) and El Niño Southern Oscillation (ENSO) indices in the food insecure rural areas of Tigray region, Ethiopia. The precipitation, SST, and ENSO indices data for the study were used from 1979 to 2019. A Summary of descriptive statistics and Mann Kendall test methods were applied to detect existence of trends; and Sen’s Slope and coefficient of variation are used to analyze the magnitude of the trend, and degree of variation in the trend of precipitation. Further, Pearson’s correlation is used to determine the effect of ENSO, and SST variations on the precipitation using the Canonical Correlation Analysis (CCA). The results revealed that the precipitation over the study areas is characterized by a distinctive bi-modal pattern with limited rains in March – May preceding the main rainy season June – September. The limited amount of precipitation, exacerbated by higher degree of variability, makes the food production in the study areas more uncertain. Besides, there was a very significant decline in the trend of March – May average precipitation and a significant decline in the trend of the annual average precipitation of Hintalo area. The SSTs of the central and eastern equatorial Pacific Ocean, and northeast and northwest equatorial Atlantic Ocean was strongly correlated with April’s average precipitation of the study areas. Further, the SST of south, west and southwest of equatorial Indian Ocean, and west equatorial Pacific Ocean were associated with July – September average precipitation with greater variation in strength among of the study areas. Moreover, July’s average precipitation of all the study areas, April’s average precipitation of Atsbi and Eirop, and May’s precipitation of Hintalo are found significantly associated with the ENSO indices of JFM, FMA, MJJ and MAM. Therefore, the task of achieving food security in the study areas should incorporate the design of informed food production strategies that can adapt the limited and variable precipitation based on these SST and ENSO indices.

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