Carbon and Energy Balance in a Primary Amazonian Forest and Its Relationship with Remote Sensing Estimates

被引:0
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作者
Alves, Mailson P. [1 ,2 ]
da Silva, Rommel B. C. [3 ]
Santos e Silva, Claudio M. [1 ,2 ,4 ]
Bezerra, Bergson G. [1 ,2 ]
Mendes, Keila Rego [1 ,2 ]
Marinho, Larice A. [1 ]
Barbosa, Melahel L. [1 ,5 ]
Nunes, Hildo Giuseppe Garcia Caldas [1 ,6 ]
Dos Santos, Jose Guilherme Martins [1 ,7 ]
Neves, Theomar Trindade de Araujo Tiburtino [1 ,5 ]
Santana, Raoni A. [1 ,5 ]
Peres, Lucas Vaz [1 ,5 ]
da Silva, Alex Santos [1 ,5 ]
Oliveira, Petia [1 ,8 ]
Moutinho, Victor Hugo Pereira [1 ,9 ]
Machado, Wilderclay B. [1 ,5 ]
Reis, Iolanda M. S. [1 ,9 ]
Seruffo, Marcos Cesar da Rocha [1 ,10 ]
Gaspar, Avner Brasileiro dos Santos [1 ,9 ]
Pereira, Waldeir [1 ,11 ]
Brito-Costa, Gabriel [1 ,2 ,8 ,9 ,10 ,11 ,12 ]
机构
[1] Fed Univ Western Para UFOPA, Res Grp Interact Biosphere Atmosphere & Micrometeo, BR-68040255 Santarem, Brazil
[2] Univ Fed Rio Grande do Norte, Climate Sci Postgrad Program PPGCC, Ave Senador Salgado Filho 3000, BR-59078970 Natal, Brazil
[3] Large Biosphere Atmosphere Amazon Program, LBA INPA, BR-66077830 Belem, Brazil
[4] Fed Univ Para, Inst Geosci PPG Environm Sci, BR-66075110 Belem, Brazil
[5] Fed Univ West Para, Inst Engn & Geosci, Rua Vera Paz S-N, BR-68040255 Sale, Santarem, Brazil
[6] Fed Rural Univ Amazon, Socioenvironm & Water Resources, BR-66077830 Belem, Brazil
[7] Natl Inst Space Res, Wildfire Monitoring Program, BR-12227010 Sao Jose Dos Campos, Brazil
[8] Fed Univ Western Para UFOPA, Postgrad Program Nat Resources Amazon PPGRNA, BR-68035110 Santarem, Brazil
[9] Fed Univ West Para, Inst Biodivers & Forests, Rua Vera Paz S-N, BR-68040255 Santarem, Brazil
[10] Fed Univ Para, Anthrop Studies Amazon Postgrad Program PPGEAA, BR-68740222 Castanhal, Brazil
[11] Fed Univ Western UFOPA, Biosci Postgrad Program PPGBIO, BR-68035110 Santarem, Brazil
[12] Fed Univ Para, Biotechnol & Biodivers Bionorte Network, Rua Augusto Correa 01, BR-66075900 Belem, Brazil
关键词
eddy covariance; enhanced vegetation index; gross primary production; normalized vegetation index; NET ECOSYSTEM EXCHANGE; EDDY COVARIANCE TECHNIQUE; TROPICAL FOREST; INTERANNUAL VARIABILITY; PRIMARY PRODUCTIVITY; VEGETATION DYNAMICS; EASTERN AMAZON; LEAF-AREA; LAND-USE; RESPIRATION;
D O I
10.3390/rs16193606
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
With few measurement sites and a great need to validate satellite data to characterize the exchange of energy and carbon fluxes in tropical forest areas, quantified by the Net Ecosystem Exchange (NEE) and associated with phenological measurements, there is an increasing need for studies aimed at characterizing the Amazonian environment in its biosphere-atmosphere interaction, considering the accelerated deforestation in recent years. Using data from a flux measurement tower in the Caxiuan & atilde;-PA forest (2005-2008), climatic data, CO2 exchange estimated by eddy covariance, as well as Gross Primary Productivity (GPP) data and satellite vegetation indices (from MODIS), this work aimed to describe the site's energy, climatic and carbon cycle flux patterns, correlating its gross primary productivity with satellite vegetation indices. The results found were: (1) marked seasonality of climatic variables and energy flows, with evapotranspiration and air temperature on the site following the annual march of solar radiation and precipitation; (2) energy fluxes in phase and dependent on available energy; (3) the site as a carbon sink (-569.7 +/- 444.9 gC m-2 year-1), with intensity varying according to the site's annual water availability; (4) low correlation between productivity data and vegetation indices, corroborating data in the literature on these variables in this type of ecosystem. The results show the importance of preserving this type of environment for the mitigation of global warming and the need to improve satellite estimates for this region. NDVI and EVI patterns follow radiative availability, as does LAI, but without direct capture related to GPP data, which correlates better with satellite data only in the months with the highest LAI. The results show the significant difference at a point measurement to a satellite interpolation, presenting how important preserving any type of environment is, even related to its size, for the global climate balance, and also the need to improve satellite estimates for smaller areas.
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页数:19
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