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CIFOR-ICRAF s’attaque aux défis et aux opportunités locales tout en apportant des solutions aux problèmes mondiaux concernant les forêts, les paysages, les populations et la planète.

Nous fournissons des preuves et des solutions concrètes pour transformer l’utilisation des terres et la production alimentaire : conserver et restaurer les écosystèmes, répondre aux crises mondiales du climat, de la malnutrition, de la biodiversité et de la désertification. En bref, nous améliorons la vie des populations.

CIFOR–ICRAF publishes over 750 publications every year on agroforestry, forests and climate change, landscape restoration, rights, forest policy and much more – in multiple languages.

CIFOR–ICRAF addresses local challenges and opportunities while providing solutions to global problems for forests, landscapes, people and the planet.

We deliver actionable evidence and solutions to transform how land is used and how food is produced: conserving and restoring ecosystems, responding to the global climate, malnutrition, biodiversity and desertification crises. In short, improving people’s lives.

The effect of forest fragmentation on tree species abundance and diversity in the eastern arc mountains of Tanzania

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Habitat fragmentation is considered a threat to biodiversity conservation. Uluguru forest block, a section of the Eastern Arc Mountains in Tanzania remains highly vulnerable to fragmentation. However, to date, fragmentation effects on species abundance and diversity have not been investigated. This study aimed at investigating effects of fragmentation on species abundance and diversity in Uluguru forest block, Morogoro region, Tanzania. A RapidEye satellite image was analyzed using the maximum likelihood classifier (MLC) to map the fragmented forest. Remotely sensed variables with data on species diversity were modelled using the Generic Algorithm for Rule-Set Prediction (GARP) algorithm while fragmentation parameters were extracted using Fragstats software, which were then linked to species and edaphic factors. Results showed that species diversity was predicted better with customized environmental variables which recorded an Area Under Curve (AUC) of 0.89. The Poisson regression results showed that individual tree species responded differently to patch area dynamics, habitat status and soil nitrogen. Generally, the abundance of dominant species like Mytenus undata Thunb (p < 0.001), Zenkerella capparidacea (Taub.) J. Leon (p < 0.001) and Oxyanthus specious DC. (p = 0.023) decreased with a reduction in patch area. The present study suggests the need to integrate comprehensive plans and other intervention measures into long-term intervention initiatives.

DOI:
https://doi.org/10.15666/aeer/1302_307324
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