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Africa's fuelwood footprint and the ...
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Tredennick, Andrew T.
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Africa's fuelwood footprint and the biome-level impacts of tree harvest.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Africa's fuelwood footprint and the biome-level impacts of tree harvest./
Author:
Tredennick, Andrew T.
Description:
148 p.
Notes:
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
Contained By:
Dissertation Abstracts International76-01B(E).
Subject:
Ecology. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3635685
ISBN:
9781321169065
Africa's fuelwood footprint and the biome-level impacts of tree harvest.
Tredennick, Andrew T.
Africa's fuelwood footprint and the biome-level impacts of tree harvest.
- 148 p.
Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
Thesis (Ph.D.)--Colorado State University, 2014.
This item must not be sold to any third party vendors.
Wood biomass is the dominant energy source in sub-Saharan Africa (SSA), supplying some 75-90% of African families with the necessary energy to meet their basic human needs. Yet, despite the importance of fuelwood to food and energy securities in SSA, no comprehensive assessment of fuelwood supply and demand exists. Likewise, we have little understanding of how harvesting of trees affects vegetation dynamics in savannas and forests. My dissertation aims to increase our understanding of fuelwood dynamics from applied and theoretical angles at multiple spatial scales. First, I tested the ability of theoretical models of allometric scaling to predict the relationship between tree size (stem diameter) and other morphological traits (e.g., height and biomass). These tree-level relationships are important for rapid biomass assessments at the landscape scale. I found that Metabolic Scaling Theory performed the best when confronted with data from three savanna tree species from three sites, but that chronic disturbance by fire likely results in systematic deviations from predictions. Second, I used satellite remote sensing and an extensive database to estimate wood biomass available for tree harvest in Mali, West Africa. Third, I developed a new approach to assess the patterns of fuelwood supply and demand for all of SSA. Using best-available fuelwood demand statistics, a growth model based on remotely sensed data, and current biomass estimates I created a series of maps, with associated uncertainties, showing annual wood supply and demand for all of SSA. These maps were used to estimate Africa's fuelwood footprint. Lastly, I conducted a theoretical analysis to explore if tree harvest affects the stability of savanna and forest systems. In the absence of active fire suppression, my analysis suggests we can expect to see large and potentially irreversible shifts from forest to savanna as demand increases for charcoal in sub-Saharan Africa.
ISBN: 9781321169065Subjects--Topical Terms:
516476
Ecology.
Africa's fuelwood footprint and the biome-level impacts of tree harvest.
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Source: Dissertation Abstracts International, Volume: 76-01(E), Section: B.
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Advisers: Kathleen Galvin; Niall P. Hanan.
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Thesis (Ph.D.)--Colorado State University, 2014.
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Wood biomass is the dominant energy source in sub-Saharan Africa (SSA), supplying some 75-90% of African families with the necessary energy to meet their basic human needs. Yet, despite the importance of fuelwood to food and energy securities in SSA, no comprehensive assessment of fuelwood supply and demand exists. Likewise, we have little understanding of how harvesting of trees affects vegetation dynamics in savannas and forests. My dissertation aims to increase our understanding of fuelwood dynamics from applied and theoretical angles at multiple spatial scales. First, I tested the ability of theoretical models of allometric scaling to predict the relationship between tree size (stem diameter) and other morphological traits (e.g., height and biomass). These tree-level relationships are important for rapid biomass assessments at the landscape scale. I found that Metabolic Scaling Theory performed the best when confronted with data from three savanna tree species from three sites, but that chronic disturbance by fire likely results in systematic deviations from predictions. Second, I used satellite remote sensing and an extensive database to estimate wood biomass available for tree harvest in Mali, West Africa. Third, I developed a new approach to assess the patterns of fuelwood supply and demand for all of SSA. Using best-available fuelwood demand statistics, a growth model based on remotely sensed data, and current biomass estimates I created a series of maps, with associated uncertainties, showing annual wood supply and demand for all of SSA. These maps were used to estimate Africa's fuelwood footprint. Lastly, I conducted a theoretical analysis to explore if tree harvest affects the stability of savanna and forest systems. In the absence of active fire suppression, my analysis suggests we can expect to see large and potentially irreversible shifts from forest to savanna as demand increases for charcoal in sub-Saharan Africa.
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On the other hand, savanna tree traits seem likely to promote savanna stability in the face of low-to-moderate harvest pressure. My work suggests that, overall, there is no large-scale fuelwood crisis in SSA and that in moderately populated savannas tree harvest is a sustainable livelihood practice. My applied work at the continental scale shows that local fuelwood shortages can be overcome if adequate mechanisms are in place to import wood from high production areas. This work allows for identification of localities in need of targeted socio-economic analyses and policy intervention at an unprecedented scale and extent. I found that the savanna biome is generally resilient to tree harvest. However, my analysis suggests a demographic shift to low biomass tree sizes. Thus, even though savannas may be stable in the face of tree harvest, reductions in tree biomass on the landscape means there is less fuelwood available for human appropriation.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3635685
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