Item Details

Title: Predicting the Functional Role of Forest Tree Species in Restoring Degraded Forests - A Case of Mabira Forest, Uganda

Date Published: 2009
Author/s: Muthalib Balikitenda Katumba
Data publication:
Funding Agency :
Copyright/patents/trade marks:
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Affiliation: NARO
Keywords: degraded forests

Abstract:

This dissertation is structured into three chapters; that is General introduction and two
manuscripts. Chapter One describes the background and scope of the study. Chapter Two is
titled “Patterns of Specific Leaf area of trees in Mabira Forest Reserve, Uganda”. It contains
information on the relationship between SLA and tree height, family, leaf type and leaf area.
Specific Leaf Area (SLA) was chosen to this study because it’s direct relationships to plant
photosynthetic rate. Leaves were collected randomly from
selected tree species and leaf area was measured. The leaves were oven dried and SLA is the
ratio of Leaf area (LA) and dry leaf weight (DW). SLA varied significantly among trees
(P<0.001) and within leaves and leaf types. For instance, there was a significant difference
between leaves collected from the Upper, Middle and Lower parts of the crown for 86% of
the species in the study. However, the differences did not increase or decrease with crown
height. Since SLA has a direct relationship to resource requirements and photosynthetic rates,
species with low SLA e.g. Rinorea ardisiifolia, Sterculia dawei and Warburgia ugandensis
can be used to restore lowly degraded parts and those with high SLA e.g. Turraea robusta.
Vernonia auriculifera and Oncoba spinosa can be used to restore highly degraded parts of
the forests
Chapter Three is titled “Deriving functional groups for Mabira Forest tree species and
predicting their Potential role in forest Restoration”. It presents the functional classification
of tree species for Mabira forest reserve. A functional approach based on 18 morphological
traits including: Leaf, bark, stem, flower, sex and defence was used to classify 100 tree
species into groups of similar ecological function(s). The traits were compiled from literature
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physiological processes such as
about flora of Uganda. Leaf area and Specific Leaf Area were determined from collected and
measured leaves as described in Chapter IL Hierarchical cluster analysis with the computer
used to generate the groups. Seven functional groups were obtained
each represented by 3-39 species. The groups represent species in the various successional
stages. I recommend planting the degraded parts with species that are represented in the
various functional groups.