| dc.creator |
Mligo, Cosmas |
|
| dc.date |
2016-05-11T14:08:54Z |
|
| dc.date |
2016-05-11T14:08:54Z |
|
| dc.date |
2015 |
|
| dc.date.accessioned |
2018-03-27T08:55:26Z |
|
| dc.date.available |
2018-03-27T08:55:26Z |
|
| dc.identifier |
Mligo, C., 2015. Conservation of Plant Species Diversity Based on Richness and Evenness Criteria in the Coastal Forests of Tanzania. Journal of Environment and Ecology, 6(1), pp.1-20. |
|
| dc.identifier |
10.5296/jee.v6i1.7431 |
|
| dc.identifier |
http://hdl.handle.net/20.500.11810/1963 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.11810/1963 |
|
| dc.description |
Coastal forests of Tanzania are diverse in plant species that make them included as part of the
34 world biodiversity hotspots. It was aimed at determining plant species diversity, richness,
and evenness and to identify the parameter that best defines plant species diversity of the
coastal forests. Transect method was used for data collection; analysis of variance and
multiple regression were used to analyze the vegetation data. The plant species diversity
ranged from 2.26 to 2.77 in Kazimzumbwi, 2.31 to 2.46 in Pande, and 1.76 to 2.48 in the
Zaraninge Forest that was significantly lower than those from other forests. Regardless of
high species diversity in Kazimzumbwi it was recorded the lowest plant species evenness
(0.485 to 0.490) and the difference of values among forests was not significant. The diversity
was strongly positive correlated with both evenness and richness whereas perfect positive
correlation (r =1) was observed with evenness and strong positively correlation existed with
species richness in Zaraninge (r = 0.88), Pande (r = 0.91) and Kazimzumbwi forest (r =0.79).
This implies that richness and evenness portrays different ecological interpretation and
cannot be used interchangeably to describe the biodiversity value of the coastal forest
ecosystem. Regression models showed that evenness significantly influenced the plant
species diversity, whereas richness had insignificant influence. It can be concluded that the
regression model is suitable to predict the trend of change in plant species diversity and
evenness is the best predictor and an adequate measure of the coastal forests’ conservation
value than richness. |
|
| dc.language |
en |
|
| dc.publisher |
Macrothink Institute |
|
| dc.subject |
Coastal forest |
|
| dc.subject |
Conservation |
|
| dc.subject |
Diversity |
|
| dc.subject |
Evenness |
|
| dc.subject |
Habitat |
|
| dc.subject |
Hotspot |
|
| dc.subject |
Richness |
|
| dc.subject |
Regression model |
|
| dc.title |
Conservation of Plant Species Diversity Based on Richness and Evenness Criteria in the Coastal Forests of Tanzania |
|
| dc.type |
Journal Article, Peer Reviewed |
|