Plant diversity and community analysis of Sele-Nono forest, Southwest Ethiopia: implication for conservation planning

Alemayehu Kefalew; Teshome Soromessa; Sebsebe Demissew

doi:10.1186/s40529-022-00353-w

Plant diversity and community analysis of Sele-Nono forest, Southwest Ethiopia: implication for conservation planning

Bot Stud. 2022 Jul 19;63(1):23. doi: 10.1186/s40529-022-00353-w.

Authors

Alemayehu Kefalew^{1

2}, Teshome Soromessa³, Sebsebe Demissew⁴

Affiliations

¹ Department of Plant Biology and Biodiversity Management, the National Herbarium, Addis Ababa University, P. O. Box 3434, Addis Ababa, Ethiopia. alemayehukefalew2011@gmail.com.
² Department of Biology, Debre Markos University (DMU), P. O. Box 269, Debre Markos, Ethiopia. alemayehukefalew2011@gmail.com.
³ Center for Environmental Science, Addis Ababa University, P. O. Box 1176, Addis Ababa, Ethiopia.
⁴ Department of Plant Biology and Biodiversity Management, the National Herbarium, Addis Ababa University, P. O. Box 3434, Addis Ababa, Ethiopia.

Abstract

Background: Studying the floristic diversity of a certain forest is a basic aspect of the design and management of forest vegetation; and consequently this study focused on the plant diversity and community analysis of the Sele-Nono forest. For the current study, plants were sampled from 90 plots using a stratified random sampling technique along the established strata of the study forest. In all the plots, both floristic and environmental data that were relevant to the study were collected following the state of the art. Based on the collected data, the community types, ordination, floristic diversity, and threats to the forest were analyzed using R-package and SPSS software.

Results: Cluster analysis produced seven distinct community types which significantly differed among themselves (Cophentic correlation coefficient = 0.785, P < 0.001) of which community types 2 and 6 were relatively poor; whereas communities 1 and 4 were rich in terms of their species richness and diversity. In addition, Canonical Correspondence Analysis (CCA) suggests that a number of environmental factors such as altitude and slope (topographic factor), OM and N (edaphic factors) and disturbance were the main drivers for the current distribution of plant species and disparity in plant community composition in Sele-Nono forest. Moreover, the study revealed high beta diversity ([Formula: see text] >12) of plant species at the landscape level (i.e., throughout the study forest). Deforestation for agricultural land expansion and degradation through selective logging are the main threats to the Sele-Nono forest.

Conclusions: The present study revealed that the Sele-Nono forest is a large and heterogenous forest at the landscape level (150, 325.27 ha; [Formula: see text] >12). Moreover, it is one of the richest and diverse forest ecosystems in terms of plant biodiversity, and it could qualify to be labeled as a keystone ecosystem. However, currently it is exposed to a variety of threats. We recommend the forest to be developed into a biosphere reserve. We also recommend the prioritization of areas belonging to community types 2 and 6 of the forest for any possible conservation actions so as to maximize species richness and diversity of the native plants of the area.

Keywords: Canonical correspondence analysis; Cluster analysis; Community types; Multivariate technique; Ordination; Sele-Nono Forest.