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Download TAAG Book of Abstracts - Tropical Biology Association

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Landscape Connectivity as a Strategy to solving Habitat<br />

Fragmentationacross Borders: A case study <strong>of</strong> Nigeria<br />

Fasona Michelle Iyabo<br />

Department <strong>of</strong> Zoology, University <strong>of</strong> Lagos, Akoka,<br />

Lagos, Nigeria<br />

Email for correspondence: babsmichelle@yahoo.com<br />

Abstract<br />

The fragmentation <strong>of</strong> natural habitats for animal wildlife<br />

population is a growing concern in nature conservation.<br />

The concept <strong>of</strong> landscape connectivity is considered to<br />

be useful in combating the challenge wildlife<br />

populations’ face in isolated fragmented habitats.<br />

Landscape connectivity has two main aspects; structural<br />

and functional connectivity. The main aim <strong>of</strong> landscape<br />

connectivity is to make connecting areas functional for<br />

wildlife dispersing to other habitats. In Africa landscape<br />

connectivity efforts have predominantly been directed<br />

towards trans-boundary conservation practices which<br />

focus on conservation <strong>of</strong> worthy lands across<br />

international borders. The use <strong>of</strong> remote sensing,<br />

Geographic Information System and spatial analysis<br />

models in selected transboundary conservation studies<br />

carried out in Africa are reviewed. Findings from the<br />

studies revealed habitat suitable areas that can serve as<br />

functional conduits for terrestrial mammals in<br />

fragmented landscape. The paper made a case for<br />

studies on landscape connectivity in Nigeria as a way <strong>of</strong><br />

conserving wildlife across borders.<br />

Keywords: Fragmentation, wildlife, Landscape<br />

connectivity and Transboundary conservation<br />

Understanding Relationship between Stand Structure<br />

and Carbon Stock in Nilo Nature Reserve, Tanzania<br />

1 *Mwainunu, E.J., 2 Munishi, P.K.T. and 3 Nzunda, E.F.<br />

1 Tanzania Forestry Research Institute, P. o. Box 30021,<br />

Kibaha, Costal Region.<br />

2 Department <strong>of</strong> Forest <strong>Biology</strong>, Sokoine University <strong>of</strong><br />

Agriculture, P. o. Box 3010, Morogoro.<br />

3 Department <strong>of</strong> Forest Mensuration and Management,<br />

Sokoine University <strong>of</strong> Agriculture, P.O. Box 3013,<br />

Morogoro<br />

Email for correspondence: emajaphet@yahoo.com<br />

Abstract<br />

Natural forests are characterized by high heterogeneity<br />

in their stand structure. Understanding the relationship<br />

between tree parameters and carbon stock is necessary<br />

for predicting carbon storage in forests. Few studies<br />

have estimated carbon storage in natural forests <strong>of</strong> the<br />

Eastern Arc Mountains in Tanzania. The study therefore<br />

assessed stand structure parameters and its relationship<br />

with carbon storage. Additionally, the study assessed<br />

the usefulness <strong>of</strong> the stand structure parameters for<br />

estimating carbon stock in the Nature Reserve. The<br />

forest was stratified into four elevation bands. Four<br />

marked permanent sample plots <strong>of</strong> size 0.4 ha with 80<br />

subplots <strong>of</strong> size 2010 m one in each elevation band<br />

was established. In each plot, the following information<br />

on diameter at breast height <strong>of</strong> trees with dbh ≥ 5 and<br />

wood cores at dbh were collected. The data was used to<br />

determine stand structure parameters (species richness,<br />

diversity, stem density, average diameter, basal area<br />

and volume) and biomass carbon stock. The coefficient<br />

<strong>of</strong> correlation R 2 was employed to depict the<br />

relationship <strong>of</strong> the stand parameters and carbon stock.<br />

A total <strong>of</strong> 77 species <strong>of</strong> trees and shrubs belonging to 29<br />

families were identified. Shannon index was 3.60<br />

indicating high plant species diversity. The stand<br />

density, average diameter, basal area and volume were<br />

299 ± 26 stems ha -1 , 26.07 ± 2.88 cm, 38.08 ± 3.61 m 2 ha -<br />

1 and 488.35 ± 56.32 m 3 ha -1, respectively. Above ground<br />

carbon stocks was 291 ± 32.81t ha -1 . Volume, base area<br />

and mean diameter were strongly positively related to<br />

carbon storage (p = 0.001). Relationship between<br />

volume and carbon stock has the highest R 2 (R 2 = 99%),<br />

hence can be used adequately for estimation <strong>of</strong> carbon<br />

stock in forests <strong>of</strong> the same type.<br />

Keywords:Natural forest, parameters, Biomass, carbon,<br />

Eastern Arc Mountains

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