Ecological and Structural Analyses of Trees in an Evergreen Lowland Congo Basin Forest

Ekoungoulou, Romeo and Nzala, Donatien and Liu, Xiaodong and Niu, Shukui (2017) Ecological and Structural Analyses of Trees in an Evergreen Lowland Congo Basin Forest. International Journal of Biology, 10 (1). pp. 31-43. ISSN 1916-9671

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Abstract

Floristic inventory and diversity assessments are necessary to understand the present diversity status and conservation of forest biodiversity. Studying the variation height-diameter woody provides insight into the general characteristics of the trees diversity pattern. This study mainly focuses on aimed to assess the effectiveness of trees diversity and structure in two study sites. The study was conducted at Ipendja evergreen lowland moist forest in northern Republic of Congo. The sampling design was systematic consisted of parallel transect 1 or 2 km part, and divided into consecutive rectangular plots, each 5000m2 (25 x 200 m, i.e. 0.5 ha). Within eight plots censuses, all trees with a DBH 10 cm were identified and measured. A total of 1340 trees has been recorded belonged 145 species and 36 families (n = 607 and n = 733, respectively in Mokelimwaekili and Sombo sites). The results show that the leading botanical families were Sapotaceae follows by Euphorbiaceae, Meliaceae, Caesalpiniaceae, Sterculiaceae, Annonaceae and Rubiaceae. The most representative species were C. mildbraedii, S. kamerunensis and P. oliveri, i.e. 62.06%, 30.34% and 28.27% respectively, suggested that they were the leading dominant species of this forest ecosystem. Shannon index were 4.29 bits for Mokelimwaekili and 4.22 bits for Sombo. While Pielou’s evenness index was between 0.88 and 0.90, respectively for the Mokelimwaekili and Sombo sites. The similarity coefficient for Jaccard was 62% and 58% for Sorensen. There are highlight variations in tree diversity indices across sites and plots in Ipendja forest.

Item Type: Article
Subjects: STM Library Press > Biological Science
Depositing User: Unnamed user with email support@stmlibrarypress.com
Date Deposited: 20 May 2023 04:56
Last Modified: 15 Oct 2024 10:14
URI: http://journal.scienceopenlibraries.com/id/eprint/1314

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