Ethnobotanical ground-truthing: indigenous knowledge, floristic inventories and satellite imagery in the upper Rio Negro, Brazil
Article first published online: 19 NOV 2008
© 2008 The Authors. Journal compilation © 2008 Blackwell Publishing Ltd
Journal of Biogeography
Volume 35, Issue 12, pages 2237–2248, December 2008
How to Cite
Abraão, M. B., Nelson, B. W., Baniwa, J. C., Yu, D. W. and Shepard Jr, G. H. (2008), Ethnobotanical ground-truthing: indigenous knowledge, floristic inventories and satellite imagery in the upper Rio Negro, Brazil. Journal of Biogeography, 35: 2237–2248. doi: 10.1111/j.1365-2699.2008.01975.x
- Issue published online: 19 NOV 2008
- Article first published online: 19 NOV 2008
- Baniwa Indians;
- Guiana Shield;
- remote sensing;
- traditional ethnobiological knowledge;
- vegetation classification
Aim To assess the utility of indigenous habitat knowledge in studies of habitat diversity in Amazonia.
Location Baniwa indigenous communities in Rio Içana, upper Rio Negro, Brazil.
Methods Six campinarana vegetation types, recognized and named by a consensus of Baniwa indigenous informants according to salient indicator species, were studied in 15 widely distributed plots. Floristic composition (using Baniwa plant nomenclature only, after frustrated attempts to obtain botanical collection permits), quantitative measures of forest structure and GPS waypoints of the 4-ha composite plot contours were registered, permitting their location on Landsat satellite images. Non-metric multidimensional scaling (NMDS) ordination was carried out using pc-ord software.
Results The NMDS ordinations of the plot data revealed a clear gradient of floristic composition that was highly correlated with three quantitative measures of forest structure: basal area, canopy height and satellite reflectance.
Main conclusions Baniwa-defined forest types are excellent predictors of habitat diversity along the structural gradient comprising distinctive white-sand campinarana vegetation types. Indigenous ecological knowledge, as revealed by satellite imagery and floristic analyses, proves to be a powerful and efficient shortcut to assessing habitat diversity, promoting dialogue between scientific and indigenous worldviews, and promoting joint study and conservation of biodiversity.