PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
March 14, 20260 citationsOpen Access

Community-Based Forest Conservation Programmes and Biodiversity Preservation in Cameroon's Southern Highlands: A Longitudinal Assessment

View Full Paper
CNChidi NgoumeUniversity of Buea

Key Points

  • Assess the effect of community-based forest conservation programmes on biodiversity and forest cover.
  • Longitudinal analysis with survey data from Cameroon's Southern Highlands
  • Used multivariate regression models to analyze impact of CBFCPs
  • Measured species richness and forest cover changes over a decade.
  • Community participation increased forest cover by 5% over ten years
  • Biodiversity index score improved from 78 to 84 out of 100
  • Selective logging and agroforestry initiatives were key drivers of species richness.

Abstract

Community-based forest conservation programmes (CBFCPs) have been implemented in Cameroon's Southern Highlands to protect biodiversity and maintain ecosystem services. A longitudinal analysis was conducted using survey data collected from to. The study employed multivariate regression models to analyse the impact of CBFCPs on species richness and forest cover changes. Community participation significantly increased forest cover by 5% over the decade, with a mean biodiversity index score that rose from 78 to 84 out of 100. CBFCPs have been effective in preserving biodiversity in Cameroon's Southern Highlands. Specific community practices such as selective logging and agroforestry initiatives are key drivers of species richness. Continue supporting CBFCPs with resources to enhance their effectiveness, especially in remote areas where traditional forest management is less prevalent. The empirical specification follows Y=₀+^ X+, and inference is reported with uncertainty-aware statistical criteria.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Chidi Ngoume (2013) studied this question.

synapsesocial.com/papers/69b4add218185d8a39801c7dhttps://doi.org/10.5281/zenodo.18990829
Ask AI
Helpful
Bookmark
Share
View Full Paper