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Seeing the forest beyond the trees

doi: 10.1111/geb.12256
Seeing the forest beyond the trees
AbstractIn a recent paper (Mitchard et al. 2014, Global Ecology and Biogeography, 23, 935–946) a new map of forest biomass based on a geostatistical model of field data for the Amazon (and surrounding forests) was presented and contrasted with two earlier maps based on remote‐sensing data Saatchi et al. (2011; RS1) and Baccini et al. (2012; RS2). Mitchard et al. concluded that both the earlier remote‐sensing based maps were incorrect because they did not conform to Mitchard et al. interpretation of the field‐based results. In making their case, however, they misrepresented the fundamental nature of primary field and remote‐sensing data and committed critical errors in their assumptions about the accuracy of research plots, the interpolation methodology and the statistical analysis. By ignoring the large uncertainty associated with ground estimates of biomass and the significant under‐sampling and spatial bias of research plots, Mitchard et al. reported erroneous trends and artificial patterns of biomass over Amazonia. Because of these misrepresentations and methodological flaws, we find their critique of the satellite‐derived maps to be invalid.
- Jet Propulsion Lab United States
- National Aeronautics and Space Administration United States
- University of California, Los Angeles United States
- California Institute of Technology United States
- American Association For The Advancement of Science United States
tropical forests, Allometry, spatial modelling, tree height, 550, Ecology, biomass, 910, Biological Sciences, wood density, Physical Geography and Environmental Geoscience, Environmental Management, remote sensing, Clinical Research, Ecological Applications, Environmental Sciences, lidar
tropical forests, Allometry, spatial modelling, tree height, 550, Ecology, biomass, 910, Biological Sciences, wood density, Physical Geography and Environmental Geoscience, Environmental Management, remote sensing, Clinical Research, Ecological Applications, Environmental Sciences, lidar
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