RESUMO
Background: The BioSTP: DNA Barcoding of endemic birds from oceanic islands of the Gulf of Guinea dataset contains records of 155 bird specimens belonging to 56 species in 23 families, representing over 80% of the diversity of the breeding landbird community. All specimens were collected on Príncipe, São Tomé and Annobón Islands between 2002 and 2021 and morphologically identified to species or subspecies level by qualified ornithologists. The dataset includes all endemic species and 3/4 of the extant endemic subspecies of the islands. This dataset is the second release by BioSTP and it greatly increases the knowledge on the DNA barcodes of Gulf of Guinea birds. All DNA extractions are deposited at Associação BIOPOLIS - CIBIO, Research Center in Biodiversity and Genetic Resources. New information: The dataset includes DNA barcodes for all 29 endemic bird species and for 11 of the 15 extant endemic bird subspecies from the oceanic islands of the Gulf of Guinea. This is the first major DNA barcode set of African birds. The three endemic subspecies of Crithagrarufobrunnea, an island endemic with three allopatric populations within the Archipelago, are also represented. Additionally, we obtained DNA barcodes for 16 of the 21 non-endemic landbirds and for one vagrant (Sylviacommunis). In total, forty-one taxa were new additions to the Barcode of Life Data System (BOLD), with another 11 corresponding to under-represented taxa in BOLD. Furthermore, the submitted sequences were found to cluster in 55 Barcode Index Numbers (BINs), 37 of which were new to BOLD. All specimens have their DNA barcodes publicly accessible through BOLD online database and GenBank.
RESUMO
REDD+ aims to offset greenhouse gas emissions through "Reduced Emissions from Deforestation and forest Degradation". Some authors suggest that REDD+ can bring additional benefits for biodiversity, namely for the conservation of extinction-prone restricted-range species. Here, we assess this claim, using São Tomé Island (Democratic Republic of São Tomé and Príncipe) as a case study. We quantified the abundance of bird and tree species, and calculated the aboveground carbon stocks across a gradient of land-use intensity. We found a strong spatial congruence between carbon and the presence and abundance of endemic species, supporting the potential of REDD+ to protect these taxa. We then assessed if REDD+ could help protect the forests of São Tomé and Príncipe. To do so, we used OSIRIS simulations to predict country-level deforestation under two different REDD+ designs. These simulations showed that REDD+ could promote the loss of forests in São Tomé and Príncipe through leakage. This happened even when additional payments for biodiversity were included in the simulations, and despite São Tomé and Príncipe having the fourth highest carbon stocks per land area and the second highest biodiversity values according to the OSIRIS database. These results show weaknesses of OSIRIS as a planning tool, and demonstrate that the benefits that REDD+ might bring for biodiversity are strongly dependent on its careful implementation. We recommend that payment for ecosystem services programmes such as REDD+ develop safeguards to ensure that biodiversity co-benefits are met and perverse outcomes are avoided across all tropical countries. In particular, we advise specific safeguards regarding the conservation of extinction-prone groups, such as island restricted-range species.
