PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 25, 20260 citationsOpen Access

Community Forest Management Programmes and Biodiversity Conservation in Southern Ugandan Villages,

KBKizza BesigyeMOMuhittin Okello

Key Points

  • This research aims to evaluate the effectiveness of Community Forest Management (CFM) programmes on biodiversity conservation in Southern Uganda.
  • Mixed-methods approach combining qualitative interviews and quantitative data analysis.
  • Data collection over two years in ten villages.
  • Assessment of tree cover and bird species diversity.
  • Tree cover increased by up to 30% due to CFM programmes.
  • Local bird species diversity improved by approximately 25%.
  • Community engagement is essential for successful biodiversity conservation.

Abstract

Southern Uganda is home to diverse ecosystems that support numerous species of flora and fauna. Community Forest Management (CFM) programmes have been implemented as a conservation strategy in these areas, aiming to balance economic development with environmental protection. The research employs a mixed-methods approach, combining qualitative interviews with quantitative data analysis from village surveys. Data collection took place over two years, covering ten villages across the region. CFM programmes have led to significant increases in tree cover by up to 30% and an observed rise in local bird species diversity by approximately 25%, reflecting community engagement with conservation efforts. Community participation is crucial for successful biodiversity conservation through CFM. The study highlights the potential of these programmes as effective tools for integrated environmental management. Policy makers should prioritise capacity building and stakeholder involvement in CFM initiatives to enhance their impact on local ecosystems.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Besigye et al. (2001) studied this question.

synapsesocial.com/papers/699e9143f5123be5ed04eae5https://doi.org/10.5281/zenodo.18736547
Ask AI
Helpful
Bookmark
Share
View Full Paper