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dc.contributor.authorLEAL, L. L.pt_BR
dc.contributor.authorTURETTA, A. P. D.pt_BR
dc.date.accessioned2017-02-08T23:09:32Z-
dc.date.available2017-02-08T23:09:32Z-
dc.date.created2017-02-07pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationIn: INTERNATIONAL CONFERENCE OF INTERNATIONAL HUMIC SUBSTANCES SOCIETY, 18., 2016, Kanazawa. Keystone for future earth: natural organic matter (NOM) in diverse environments: proceedings. Kobe: IHSS: Kobe University, 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1062877pt_BR
dc.descriptionAgriculture is one of the main responsible for the increase of CO2 atmospheric in Brazil. However, the adoption of conservation farming practices is an alternative to mitigate climate change. Geoprocessing tools can assist in land use mapping process and associate different landscape parameters in an integrated spatial analysis. To carry out this study, the C stock was calculated and spatialized using the software Arcis® 10.2. A gradual C stock values categorization is presented according to land use cover map. It was observed that Annual e Perennial crops land use classes presented the lowest values of C stock. That showed the fragility of agrosystems concerning C stocks, but in the other hand, the great opportunity and importance of to improve agricultural management practices seeking decrease the impact of food production into the global C cycle.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectGeoprocessamentopt_BR
dc.subjectEstoque de carbonopt_BR
dc.subjectManejo agrícolapt_BR
dc.subjectPaisagens ruraispt_BR
dc.titleSpatialization of soil carbon stock in a rural landscape - a study case in the Southest of Brazil.pt_BR
dc.typeArtigo em anais e proceedingspt_BR
dc.date.updated2017-02-08T23:09:32Zpt_BR
riaa.ainfo.id1062877pt_BR
riaa.ainfo.lastupdate2017-02-07pt_BR
dc.contributor.institutionLUÍSA LIMA LEAL, UFRJ; ANA PAULA DIAS TURETTA, CNPS.pt_BR
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