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The Cross River National Park (CRNP) is an essential ecological gene-pool harbouring one of the oldest tropical rainforests in Africa, and the last remaining rainforest in Nigeria.With the ongoing human-induced habitat degradation, it is critical to assess its amphibian assemblage and understand the role habitat variation plays on local species richness and abundance. Thus, we conducted several surveys between 2017 and 2019 to document its amphibian assemblage and distribution pattern. We also searched primary literature for the list of amphibians previously recorded in CRNP.Using the observation records, we tested the hypothesis that habitat variation affects local species richness and relative abundance. We further assessed the conservation status of species using the IUCN Red List. Results revealed the presence of at least 72 amphibian species in CRNP. Analyses showed that species richness was significantly high in the lowland forests and wetland/swamps when compared to savannah and agricultural field. Our study further revealed increased threats to amphibians of CRNP arising from human activities. The comparatively high species richness and increased threats to amphibians in CRNP highlights the biological importance of CRNP and places it among the most critical site for conservation of amphibians in Nigeria. Finally, we recommend improved community-based conservation programmes for the long-term survival of the amphibians and their associated habitats. [ABSTRACT FROM AUTHOR]

Despite recent anthropogenic interference, south‐eastern (SE) Nigeria historically hosts a myriad of pristine forest habitats that could sustain diverse amphibian assemblages. Currently, land conversion of primary forests through human activities has led to modified habitats, such as agricultural fields and secondary forest. This calls for biodiversity documentation and initiation of conservation plans. However, the dearth of herpetological studies has limited knowledge of the amphibian species richness and distribution patterns in some forest ecosystems of SE Nigeria. Thus, we surveyed two less‐explored intact forests in SE Nigeria—Afi Forest Reserve (AFR) and Ikpan forest ecosystem (IFE)—to document the patterns of amphibian diversity and distribution. Specimens were searched for opportunistically using visual and acoustic survey methods. Literature searches were conducted to document additional species that were not encountered. Using the observational records and arrays of diversity indices, the patterns of species richness and abundance across habitat types were evaluated. The result of our study revealed the presence of 30 and 31 amphibian species from AFR and IFE, respectively. Our field collections included two unidentified species (Sclerophrys sp. and Hyperolius sp.) from AFR and one (Phrynobatrachus sp.) from IFE. Analyses revealed high species diversity and richness in forest and swamps compared with the agricultural field and savannah. Given the increased human activities and the antecedent threats to forest ecosystems of SE Nigeria, we offer recommendations for the initiation of conservation plans for these two surveyed localities. [ABSTRACT FROM AUTHOR]

Comprehensive biodiversity assessment of moths in Nigeria rely greatly on accurate species identification. While most of the Nigerian moths are identified effortlessly using their morphological traits, some taxa are morphologically indistinguishable, which makes it difficult for taxon diagnosis. We investigated the efficiency of the DNA barcode, a fragment of the mitochondrial Cytochrome C oxidase subunit I, as a tool for the identification of Nigerian moths. We barcoded 152 individuals comprising 18 morphospecies collected from one of the remaining and threatened rainforest blocks of Nigeria – the Cross River National Park. Phenetic neighbor-joining tree and phylogenetic Maximum Likelihood approach were employed for the molecular-based species identification. Results showed that DNA barcodes enabled species-level identification of most of the individuals collected from the Park. Additionally, DNA barcoding unraveled the presence of at least six potential new and yet undescribed species—Amnemopsyche sp., Arctia sp., Deinypena sp., Hodebertia sp., Otroeda sp., and Palpita sp. The phylogenetic Maximum Likelihood using the combined dataset of all the newly assembled sequences from Nigeria showed that all species formed unique clades. The phylogenetic analyses provided evidence of population divergence in Euchromialethe, Nyctemeraleuconoe, and Deinypenalacista. This study thus illustrates the efficacy of DNA barcoding for species identification and discovery of potential new species, which demonstrates its relevance in biodiversity documentation of Nigerian moths. Future work should, therefore, extend to the creation of an exhaustive DNA barcode reference library comprising all species of moths from Nigeria to have a comprehensive insight on the diversity of moths in the country. Finally, we propose integrated taxonomic methods that would combine morphological, ecological, and molecular data in the identification and diversity studies of moths in Nigeria. [ABSTRACT FROM AUTHOR]

Accurate identification of species is a prerequisite for successful biodiversity management and further genetic studies. Species identification techniques often require both morphological diagnostics and molecular tools, such as DNA barcoding, for correct identification. In particular, the use of the subunit I of the mitochondrial cytochrome c oxidase (COI) gene for DNA barcoding has proven useful in species identification for insects. However, to date, no studies have been carried out on the DNA barcoding of Nigerian butterflies. We evaluated the utility of DNA barcoding applied for the first time to 735 butterfly specimens from southern Nigeria. In total, 699 DNA barcodes, resulting in a record of 116 species belonging to 57 genera, were generated. Our study sample comprised 807 DNA barcodes based on sequences generated from our current study and 108 others retrieved from BOLD. Different molecular analyses, including genetic distance-based evaluation (Neighbor-Joining, Maximum Likelihood and Bayesian trees) and species delimitation tests (TaxonDNA, Automated Barcode Gap Discovery, General Mixed Yule-Coalescent, and Bayesian Poisson Tree Processes) were performed to accurately identify and delineate species. The genetic distance-based analyses resulted in 163 well-separated clusters consisting of 147 described and 16 unidentified species. Our findings indicate that about 90.20% of the butterfly species were explicitly discriminated using DNA barcodes. Also, our field collections reported the first country records of ten butterfly species-Acraea serena, Amauris cf. dannfelti, Aterica galena extensa, Axione tjoane rubescens, Charaxes galleyanus, Papilio lormieri lormeri, Pentila alba, Precis actia, Precis tugela, and Tagiades flesus. Further, DNA barcodes revealed a high mitochondrial intraspecific divergence of more than 3% in Bicyclus vulgaris vulgaris and Colotis evagore. Furthermore, our result revealed an overall high haplotype (gene) diversity (0.9764), suggesting that DNA barcoding can provide information at a population level for Nigerian butterflies. The present study confirms the efficiency of DNA barcoding for identifying butterflies from Nigeria. To gain a better understanding of regional variation in DNA barcodes of this biogeographically complex area, future work should expand the DNA barcode reference library to include all butterfly species from Nigeria as well as surrounding countries. Also, further studies, involving relevant genetic and eco-morphological datasets, are required to understand processes governing mitochondrial intraspecific divergences reported in some species complexes.