Integrating Satellite, Modeling and Synthesis Approaches to Understand the Role of Selective Logging on Biogeochemical Cycles in Amazonia
Gregory Paul Asner Carnegie Institution (US-PI)
We propose to extend our remote sensing studies from LBA Phase-II by applying our forthcoming Amazon selective logging data products, along with a literature synthesis of biogeochemical responses to logging, to extrapolate carbon and nutrient stock changes associated with this land use. We will also couple the CLAS products to MODIS phenology data in the TerraFlux biogeochemical model, using a forest canopy radiative transfer sub-model as the method of linkage, to predict changes in NPP and carbon storage in select Amazon forest stands that have undergone selective logging. Finally, we will use the CLAS logging products to assess spatio-temporal relationships between timber harvest and deforestation (clear-cutting) over large regions of the Amazon basin.
The project will produce synthesis products to be freely shared by LBA investigators and the international community. These include: (1) regional extrapolations of selective logging extent, canopy damage and its estimated impact on carbon and nutrient stocks; (2) a synthesis review of nutrient and carbon cycle responses to selective logging during and following harvest; (3) stand-level simulations of how timber harvests that alters nutrient stocks/fluxes ultimately impact rates of forest regeneration and carbon accumulation; and (4) a spatially-specific analysis of selective logging as a potential precursor to deforestation across the Brazilian Amazon frontier. This project will have an educational component, including: (a) training a Brazilian and an American post-doc, including exchange between the co-PIs labs; (b) short-course training of students from the Universidade de Brasilia in biogeochemical modeling and remote sensing; and (c) faculty training on biogeochemical modeling for future teaching endeavors in Brazil.
The project will directly address LBA questions LC-Q3, CD-Q3b, CD-Q3c, and ND-Q1. In doing so, we will contribute to answering the overall LBA question: “How do tropical forest conversion, re-growth and selective logging influence carbon storage, nutrient dynamics, trace gas fluxes, and the prospect for sustainable land use in Amazonia?” Our study represents a major synthesis on the logging issue using a combination of satellite, computer modeling and literature review approaches. As such, the lead PI (Greg Asner) volunteers to coordinate an LBA-wide synthesis of logging extent and its effects on the biophysical, biogeochemical, and biosphere-atmosphere exchange processes in Amazonia.