Background: The data we present are part of the long-term project "SLAM Project - Long Term Ecological Study of the Impacts of Climate Change in the Natural Forest of Azores" that started in 2012, aiming to understand the impact of biodiversity erosion drivers on Azorean native forests (Azores, Macaronesia, Portugal). The data for the current study consist in an inventory of arthropods collected in three locations of a native forest fragment at Terra-Brava protected area (Terceira, Azores, Portugal) aiming to test the impact of edge effects on Azorean arthropod communities. The three locations were: (i) the edge of the forest, closer to the pastures; (ii) an intermediate area (100 m from edge); and (iii) the deepest part of the native forest fragment (more than 300 m from edge). The study was carried out between June 2014 and December 2015. A total of nine passive flight interception SLAM (Sea, Land and Air Malaise) traps were deployed (three in each of the studied locations), during 18 consecutive months. This study provides the raw data to investigate temporal and edge effect variation for the Azorean arthropod communities.
New Information: The collected arthropods belong to a wide diversity of taxonomic groups of Arachnida, Diplopoda, Chilopoda and Insecta classes. We collected a total of 13,516 specimens from which it was possible to identify to species level almost all specimens (13,504). These identified specimens belong to 15 orders, 58 families (plus three with only genus or family level identification) and 97 species of arthropods. A total of 35 species are considered introduced, 34 native non-endemic and 28 endemic. Additionally, a total of 10 taxa (12 specimens) were recorded at genus, family or order level. This dataset will allow researchers to test the impact of edge effect on arthropod biodiversity and to investigate seasonal changes in Azorean arthropod native forest communities.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9848480 | PMC |
| http://dx.doi.org/10.3897/BDJ.10.e85971 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Basic Science and Pathogenesis.
Alzheimers Dement
December 2024
Miin Wu School of Computing, National Cheng Kung University, Tainan, Taiwan.
Background: Continuous speech analysis is considered as an efficient and convenient approach for early detection of Alzheimer's Disease (AD). However, the traditional approach generally requires human transcribers to transcribe audio data accurately. This study applied automatic speech recognition (ASR) in conjunction with natural language processing (NLP) techniques to automatically extract linguistic features from Chinese speech data.
View Article and Find Full Text PDFBasic Science and Pathogenesis.
Alzheimers Dement
December 2024
John P. Hussman Institute for Human Genomics, Miller School of Medicine, Miami, FL, USA.
Background: We previously identified a 44-base pair deletion in (ATP-binding cassette sub-family A member 7) (ABCA7) that is significantly associated with Alzheimer's disease (AD) in African Americans (AA), producing a frameshift mutation resulting in a truncated protein (p.Arg578Alafs). ABCA7 is a lipid transporter across cellular membranes.
View Article and Find Full Text PDFAssessing how restoration can facilitate 30×30 goals for climate-resilient coastal ecosystems in the United States.
Conserv Biol
December 2024
California Division, The Nature Conservancy, California, USA.
Ecosystems globally have reached critical tipping points because of climate change, urbanization, unsustainable resource consumption, and pollution. In response, international agreements have set targets for conserving 30% of global ecosystems and restoring 30% of degraded lands and waters by 2030 (30×30). In 2021, the United States set a target to jointly conserve and restore 30% of US lands and waters by 2030, with a specific goal to restore coastal ecosystems, namely wetlands, seagrasses, coral and oyster reefs, and mangrove and kelp forests, to increase resilience to climate change.
View Article and Find Full Text PDFFirst microsatellite markers for the Amazonian species Copaifera multijuga Hayne developed using next-generation sequencing.
Mol Biol Rep
December 2024
Laboratório de Biologia Molecular (LBM), Centro de Bionegócios da Amazônia (CBA), Manaus, Amazonas, Brazil.
Background: Native to the Amazon region, Copaifera multijuga Hayne is a large tree (≈ 36 m in height) that is heavily exploited for extraction of its oleoresin. Many studies have addressed the phytochemical properties and applications of this raw material; however, there are few initiatives that have focused on the genetic characterization of native populations of this species. To this end, our objective was to develop microsatellite markers for C.
View Article and Find Full Text PDFImpact of land-use and fecal contamination on Escherichia populations in environmental samples.
Sci Rep
December 2024
Food System Integrity, AgResearch Limited, Hopkirk Research Institute, Massey University, Cnr University Avenue and Library Road, Private Bag 11008, Palmerston North, 4442, New Zealand.
Understanding the composition of complex Escherichia coli populations from the environment is necessary for identifying strategies to reduce the impacts of fecal contamination and protect public health. Metabarcoding targeting the hypervariable gene gnd was used to reveal the complex population diversity of E. coli and phenotypically indistinct Escherichia species in water, soil, sediment, aquatic biofilm, and fecal samples from native forest and pastoral sites.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!