Forest biomass,productivity and carbon cycling along a rainfall gradient in West Africa

Net Primary Productivity (NPP) is one of the most important parameters in describing the functioning of any ecosystem and yet it arguably remains a poorly quantified and understood component of carbon cycling in tropical forests, especially outside of the Americas. We provide the first comprehensive analysis of NPP and its carbon allocation to woody, canopy and root growth components at contrasting lowland West African forests spanning a rainfall gradient. Using a standardized methodology to study evergreen (EF), semi‐deciduous (SDF), dry forests (DF) and woody savanna (WS), we find that (i) climate is more closely related with above and belowground C stocks than with NPP (ii) total NPP is highest in the SDF site, then the EF followed by the DF and WS and that (iii) different forest types have distinct carbon allocation patterns whereby SDF allocate in excess of 50% to canopy production and the DF and WS sites allocate 40%–50% to woody production. Furthermore, we find that (iv) compared with canopy and root growth rates the woody growth rate of these forests is a poor proxy for their overall productivity and that (v) residence time is the primary driver in the productivity‐allocation‐turnover chain for the observed spatial differences in woody, leaf and root biomass across the rainfall gradient. Through a systematic assessment of forest productivity we demonstrate the importance of directly measuring the main components of above and belowground NPP and encourage the establishment of more permanent carbon intensive monitoring plots across the tropics.     

Complete mitochondrial genome and assembled DNA barcoding analysis of Lutjanus fulgens (Valenciennes, 1830) and its comparison with other Lutjanus species

Lutjanus fulgens (Valenciennes, 1830) is a teleost species classified under the family Lutjanidae which is a native of the Eastern Atlantic Ocean. Though highly commercialized due to its abundance and good taste, the production output has declined in recent years. This is an indication of the need for effective management and conservation measures. However, accurate species identification will ensure strategic management and conservation measure. DNA‐based species identification has proven its reliability in this regard via precise species identification. Several researchers have confirmed the accuracy of DNAbarcode as a species identification tool as well as species phylogeny analysis based on both the complete mitogenome and COI gene. Currently, nine specimens of L. fulgens were sampled from Ghana and subjected to DNA‐based analysis, namely, complete mitochondrial DNAand COI gene (DNA barcoding) analyses. The mitogenomic result revealed that L. fulgens is made up of a 16,500 base pairs (bp) mtDNA which consists of 22 transfer RNAs, 13 protein‐coding genes, and two ribosomal RNAs (GenBank Accession Number: MN398650). Furthermore, a sequence polymorphism analysis of the COIgene (MN986442–MN986450) detected two haplotypes. These haplotypes were both collected from the same fish landing site which suggests a possible cryptic linage diversity in the L. fulgens population at Vodza. According to the phylogeny examination, a close taxonomic relationship exists between L. fulgens and Lutjanus buccanella caused by a recent evolution termed as sympatric speciation. This study serves as a novel study for this species, building the foundation for future molecular‐based study for this species and as a DNA barcode reference data.     

Fine‐root exploitation strategies differ in tropical old growth and logged‐over forests in Ghana

Understanding the changes in root exploitation strategies during post‐logging recovery is important for predicting forest productivity and carbon dynamics in tropical forests. We sampled fine (diameter < 2 mm) roots using the soil core method to quantify fine‐root biomass and architectural and morphological traits to determine root exploitation strategies in an old growth forest and in a 54‐yr‐old logged‐over forest influenced by similar parent material and climate. Seven root traits were considered: four associated with resource exploitation potential or an ‘extensive’ strategy (fine‐root biomass, length, surface area, and volume), and three traits which reflect exploitation efficiency or an ‘intensive’ strategy (specific root area, specific root length, and root tissue density). We found that total fine‐root biomass, length, surface area, volume, and fine‐root tissue density were higher in the logged‐over forest, whereas the old growth forest had higher total specific root length and specific root surface area than the logged‐over forest. The results suggest different root exploitation strategies between the forests. Plants in the old growth forest invest root biomass more efficiently to maximize soil volume explored, whereas plants in the logged‐over forest increase the spatial distribution of roots resulting in the expansion of the rhizosphere.