Show simple item record



Item Description

dc.contributor.author Querido, Antonio Luis Evora Ferreira en_US
dc.date.accessioned 2011-07-22T00:15:32Z en_US
dc.date.available 2011-07-22T00:15:32Z en_US
dc.date.issued 2008 en_US
dc.identifier.isbn 9780549596219 en_US
dc.identifier.uri http://hdl.handle.net/10125/20920 en_US
dc.description Thesis (Ph.D.)--University of Hawaii at Manoa, 2008. en_US
dc.description The Kyoto protocol recognized the importance of the terrestrial sink of carbon and proposed schemes that allow countries to treat sequestered carbon as a commodity that can be traded for global environmental benefit. Carbon sequestration can be a win-win scenario because it also introduces a set of new benefits into dryland farming communities particularly in Sub-Saharan Africa. The possibility, however, for agricultural producers to participate in the emerging market for tradable carbon-credits requires a reliable verification mechanism. Soil carbon inventories of many developing nations rely on a broad scale assessment. These approaches do not account for the spatial and temporal variability of soil carbon nor do they provide a measure of uncertainty associated with these assessments. This study proposed the use of Bayesian Maximum Entropy (BME) to quantify and map soil organic carbon at field scale in four agroecological zones of Mali, Sub-Saharan Africa. The prediction model comparisons using the mean error (ME) indicated that BME performed better than did the kriging methods (0.033, 0.41, respectively). BME prediction also provided a lower MSE representing a 25% reduction compared with Kriging, and 10% compared with cokriging. This study also demonstrated potential use of space---time covariances as tools to improve our understanding of spatial and temporal variability of soil organic carbon. Based on the temporal and spatial models maps were generated to predict mean trends. The estimation of tree biomass in Sub-Saharan Africa is important for an accurate assessment of the potential of these systems to capture and store carbon. The results show that tree carbon represented as much as 34% of the amount of organic carbon stored in soil surface (0-20 cm). Data from 2000 to 2006 indicated a net increase of soil organic carbon, which varied between 2.6 to 13.9 Mg ha-1. Despite the complexities that characterize the spatial and temporal distribution of most environmental processes, BME provides a framework to analyze both space and time components. en_US
dc.description Includes bibliographical references (leaves 187-208). en_US
dc.description Also available by subscription via World Wide Web en_US
dc.description 208 leaves, bound 29 cm en_US
dc.language.iso en-US en_US
dc.relation Theses for the degree of Doctor of Philosophy (University of Hawaii at Manoa) no. 5068 en_US
dc.rights All UHM dissertations and theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission from the copyright owner. en_US
dc.title Quantifying and mapping soil organic carbon in Mali, West Africa using spatiotemporal methods en_US
dc.type Thesis en_US
dc.type.dcmi Text en_US

Item File(s)

Description Files Size Format View
Restricted for viewing only PHD_ACH.H3_5068_r.pdf 7.486Mb PDF View/Open
For UH users only PHD_ACH.H3_5068_uh.pdf 7.474Mb PDF View/Open

This item appears in the following Collection(s)

Show simple item record

Search


Advanced Search

Browse

My Account

Statistics

About