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Goldberg, Samuel L. ; Schmidt, Morgan J. ; Himmelstein, Joshua D. ; Heckenberger, Michael ; Franchetto, Bruna ; Lima, Helena ; Watling, Jennifer ; Moraes, Bruno ; Dorshow, Wetherbee B. ; Fausto, Carlos ; Waura, Kumessi ; Kuikuro, Huke ; Kuikuro, Taku Wate ; Kuikuro, Afukaka ; Perron, J. Taylor

• Tipo de documento: Artigo Científico
• Fonte: NATURE SUSTAINABILITY; v. 7, n. 10, p. 12-pg., 2024-07-26.

Resumo

Amazonian dark earth (ADE) is highly nutrient- and carbon-rich soil created by past inhabitants of the Amazon. It would be valuable to know the extent of ADE because of its cultural and environmental importance, but systematic efforts to map its distribution and extent are impractical with traditional field methods. We use remote-sensing imagery and a machine-learning classifier with ground-truthed training data to predict the occurrence of ADE across the 26,000 km2 Territ & oacute;rio Ind & iacute;gena do Xingu (TIX) in the southeastern Amazon region of Brazil. We find widespread ADE across the TIX, well beyond previously studied archaeological sites, occupying at least 3-4% of the land area. We further estimate that the TIX may sequester 9 Mt of carbon within ADE deposits from past human inputs. Our findings show that ancient inhabitants of the TIX substantially modified their environment, highlighting the importance of conserving this natural and cultural resource given threats from climate change and deforestation. Past human land modification in the Amazon has resulted in nutrient- and carbon-rich soil deposits of great cultural and environmental value. A new remote-sensing and machine-learning approach reveals the extent of Amazonian dark earth and its potentially substantial carbon reservoir. (AU)

• Processo FAPESP: 17/25157-0 - Pessoas, plantas e paisagens na Amazônia
• Beneficiário: Jennifer Watling
• Modalidade de apoio: Auxílio à Pesquisa - Jovens Pesquisadores