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Biodiversity Surveys of Poorly Known Coastal Forests of ...

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Transect 2: GPS reading at beginning <strong>of</strong> transect, 37L 530082, end <strong>of</strong> transect, UTM 8982696;<br />

end 37L 530034 , UTM 8984109<br />

Transect 3: beginning 37L 531462, UTM 8985642; end, 37L 532325; UTM 8984247<br />

Matapwa forest:<br />

Transect 1: beginning 37L 542525, UTM 8930851; end 37L 541666; UTM 8932331<br />

Transect 2: beginning 37L 538177, UTM 8927280; end 37L 540407; UTM 8929155<br />

Transect 3: beginning 37L 541826, UTM 89 30 582; end 37L 538643, UTM 8931320<br />

Along each transect, a series <strong>of</strong> nested plots as recommended by Stohlgren et al., (1995) was<br />

systematically established. The sampling plots were positioned on alternating sides <strong>of</strong> the transect<br />

following the method <strong>of</strong> Kasenene (1987). Three levels <strong>of</strong> sampling were employed in the field:<br />

(a) 20m x 50m plots for trees with >10cm diameter at breast height (DBH) (b) 5m x 2m plots<br />

nested in the larger plot for shrubs and saplings (c) 2m x 0.5m plots nested in the 5m x 2m plots<br />

for herbs and grasses. The information recorded was the species name <strong>of</strong> plant, for trees, diameter<br />

at breast height (DBH), and for grasses and herbs the percentage cover. Most plants were<br />

identified to species level in the field. Others that were difficult to identify were collected, pressed<br />

and taken to the herbarium in the Department <strong>of</strong> Botany, University <strong>of</strong> Dar es Salaam for<br />

identification either by matching with herbarium specimens or by using floras such as Flora <strong>of</strong><br />

Tropical East Africa and Flora Zambesiaca.<br />

4

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