Dissertation/Thesis Abstract

Carbon stocks and cycling in the Amazon basin: Measurement and modeling of natural disturbance and recovery using airborne LIDAR
by Hunter, Maria O'Healy, Ph.D., University of New Hampshire, 2014, 192; 3581824
Abstract (Summary)

Forest structure, the three dimensional distribution of living and dead plant material including live crowns, understory vegetation and coarse woody debris, is the concrete physical form of carbon storage, the framework for biodiversity, and the instantaneous manifestation of disturbance and recovery processes. The frequency of disturbance and rate of decomposition drives the fractions of living and dead biomass, and the size of and intensity of disturbance drives the rate and species composition of forest recovery; both are primary sinks and sources in the carbon cycle. To improve understanding of disturbance and recovery processes, high-resolution airborne LIDAR (light detection and ranging) data from the Amazon region is combined with field measurements to analyze forest structure. These measurements are incorporated into a simple model to estimate light availability and the associated changes in carbon stocks. This work improves the understanding of Amazon forest dynamics and its role in the carbon cycle.

Indexing (document details)
Advisor: Keller, Michael
School: University of New Hampshire
School Location: United States -- New Hampshire
Source: DAI-B 76/02(E), Dissertation Abstracts International
Subjects: Ecology, Environmental science, Remote sensing
Keywords: Remote Sensing, Tropical Forest Structure
Publication Number: 3581824
ISBN: 978-1-321-34288-8
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