Estimation of gross primary production of the Amazon-Cerrado transitional forest by remote sensing techniques

Souza, Maísa Caldas; Biudes, Marcelo Sacardi; Danelichen, Victor Hugo de Morais; Machado, Nadja Gomes; Musis, Carlo Ralph de; Vourlitis, George L.; Nogueira, José de Souza

doi:10.1590/s0102-77862014000100001

Cited by 16 publications

(12 citation statements)

References 40 publications

(59 reference statements)

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“…The physical and biological factors of the surface determine the interaction between the atmospheric humidity, precipitation, runoff and energy balance in the form of latent and sensible heat (Diniz et al, 2008;Biudes et al, 2009). The microclimate changes in a specific region occur both by anthropogenic influences such as urbanization and agriculture (Kalnay & Cai, 2003), and by alterations on the concentration of greenhouse gases (Biudes et al, 2014b;Souza et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Pattern of Meteorological Variables in Cuiabá, Mato Grosso State, Brazil

Machado¹,

Biudes²,

Querino³

et al. 2015

Rev. Bras. Geof.

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ABSTRACT. Cuiabá is located on the border of the Pantanal and Cerrado, in Mato Grosso State, which is recognized as one of the biggest agricultural producers of Brazil. The use of natural resources in a sustainable manner requires knowledge of the regional meteorological variables. Thus, the objective of this study was to RESUMO. Cuiabá está localizado na fronteira do Pantanal com o Cerrado, no Mato Grosso, queé reconhecido como um dos maiores produtores agrícolas do Brasil.A utilização dos recursos naturais de forma sustentável requer o conhecimento das variáveis meteorológicas em escala regional. Assim, o objetivo deste estudo foi caracterizar o padrão sazonal e interanual das variáveis meteorológicas em Cuiabá. Os dados meteorológicos de 1961 a 2011 foram fornecidos pelo Instituto Nacional de Meteorologia (INMET). Os resultados mostraram variações interanuais e sazonais de precipitação, radiação solar, temperatura e umidade relativa do ar e velocidade e direção do vento, estabelecendo duas principais estações distintas (chuvosa e seca). Em média, 89% da precipitação ocorreu na estação chuvosa. Os valores médios anuais de radiação diária global, temperatura do ar média, mínima e máxima e umidade relativa do ar foram 15,6 MJ m -2 y -1 , 27,9 • C, 23,0 • C, 30,0 • C e 71,6%, respectivamente. A temperatura máxima e a velocidade do vento não tiveram padrão sazonal. A velocidade média do vento diminuiu na direção NW e aumentou na direção S.Palavras-chave: variáveis meteorológicas, climatologia, ENOS.

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Section: Introductionmentioning

confidence: 99%

Seasonal and Interannual Pattern of Meteorological Variables in Cuiabá, Mato Grosso State, Brazil

Machado¹,

Biudes²,

Querino³

et al. 2015

Rev. Bras. Geof.

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“…The R for every half hour was estimated as the average of NEE during the first four hours of the day (0-4 h), assuming zero CO 2 assimilation during this period. After obtaining the value of R, the GPP was estimated as the sum of R and NEE every half hour (Vourlitis et al 2011, Souza et al 2014). …”

Section: Gross Primary Production Measured By Eddy Covariance Methods mentioning

confidence: 99%

Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery

Danelichen

Biudes

Velasque

et al. 2015

An. Acad. Bras. Ciênc.

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The acceleration of the anthropogenic activity has increased the atmospheric carbon concentration, which causes changes in regional climate. The Gross Primary Production (GPP) is an important variable in the global carbon cycle studies, since it defines the atmospheric carbon extraction rate from terrestrial ecosystems. The objective of this study was to estimate the GPP of the Amazon-Cerrado Transitional Forest by the Vegetation Photosynthesis Model (VPM) using local meteorological data and remote sensing data from MODIS and Landsat 5 TM reflectance from 2005 to 2008. The GPP was estimated using Normalized Difference Vegetation Index (NDVI) and Enhanced Vegetation Index (EVI) calculated by MODIS and Landsat 5 TM images. The GPP estimates were compared with measurements in a flux tower by eddy covariance. The GPP measured in the tower was consistent with higher values during the wet season and there was a trend to increase from 2005 to 2008. The GPP estimated by VPM showed the same increasing trend observed in measured GPP and had high correlation and Willmott's coefficient and low error metrics in comparison to measured GPP. These results indicated high potential of the Landsat 5 TM images to estimate the GPP of Amazon-Cerrado Transitional Forest by VPM.

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“…In the Amazonian / Cerrado forest ecotone region, samples of the soybean areas were obtained at Fazenda Maracaí, located 50 km from the municipality of Sinop, at the coordinates 11 o 24'43.4"S, 55 o 19'25.7" W, at an altitude of 435 m (Souza et al, 2014).…”

Section: Study Sitesmentioning

confidence: 99%

Variação Sazonal Do Carbono Orgânico Dissolvido (Cod) E Propriedades Ópticas Da Matéria Orgânica Em Diferentes Sistemas De Pastagem E De Soja No Estado De Mato Grosso

Morais

Dalmagro

Pinto³

et al. 2017

CeN

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The objective of this study is to characterize the quantity and quality of dissolved organic carbon (DOC) Resumo O objetivo deste estudo é caracterizar a quantidade e a qualidade do carbono orgânico dissolvido (COD) em diferentes condições hídricas nos sistemas de produção de pastagem e soja no estado de Mato Grosso. As amostragens foram realizadas nas estações úmidas(Fevereiromarço) e nas estações secas (setembro-outubro). A concentração de COD e suas propriedades de fluorescência óptica foram medidos a partir de amostras coletadas em diferentes ecossistemas no Estado de Mato Grosso (Cerrado, Pantanal, Amazônia e ecótono Cerrado/Amazônia

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Estimation of gross primary production of the Amazon-Cerrado transitional forest by remote sensing techniques

Cited by 16 publications

References 40 publications

Seasonal and Interannual Pattern of Meteorological Variables in Cuiabá, Mato Grosso State, Brazil

Seasonal and Interannual Pattern of Meteorological Variables in Cuiabá, Mato Grosso State, Brazil

Estimating of gross primary production in an Amazon-Cerrado transitional forest using MODIS and Landsat imagery

Variação Sazonal Do Carbono Orgânico Dissolvido (Cod) E Propriedades Ópticas Da Matéria Orgânica Em Diferentes Sistemas De Pastagem E De Soja No Estado De Mato Grosso

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