19,267 research outputs found

    New records of rove-beetles (Insecta, Coleoptera, Staphylinidae) for Azores Islands (Portugal)

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    The data we present consist of an updated checklist of the Azorean Staphylinidae (Insecta, Coleoptera), by compiling new identified records of three recent published studies about Azorean arthropods. In general, the records were obtained from different standardised sampling campaigns and from non-standardised observations. The presented records were collected between July 1999 and September 2020, in five islands of the Azores Archipelago: Flores, Graciosa, Terceira, SĂŁo Miguel and Santa Maria. The samples include records collected in several habitat types, such as native, mixed and exotic forests, pasturelands and agricultural areas (maize fields, orchards, citrus areas and vineyards). This inventory represents the most updated checklist and knowledge about Staphylinidae in Azores and new information includes one new exotic rove-beetle for the Azores (Thecturota tenuissima Casey, 1893) and seven new islands records.his work was funded by eight projects: (1) Direccao Regional dos Recursos Florestais (Azorean Government/project 17.01-080203), (2) FCT-project PTDC/BIA-BEC/100182/2008 MACRISK - "Predicting extinctions on islands: a multi-scale assessment", (3) DRCT project M112/F/014/2007; (4) FCT-NETBIOME -ISLANDBIODIV; (5) AZORESBIOPORTAL - PORBIOTA (ACORES-01-0145-FEDER-000072) and (6) AGRO-ECOSERVICES (ACORES-01-0145-FEDER-000073), both supported by FEDER and Azorean Public funds through the Operational Program Azores 2020; and (7) PRIBES (LIFE17 IPE/PT/000010) (2019-2020) and (8) LIFE-BETTLES (LIFE18 NAT/PT/000864) (2020-2024), both supported by Direccao Regional do Ambiente. Open access was funded by the project AGRO-ECOSERVICES (ACORES-01-0145-FEDER-000073), supported by FEDER and Azorean Public funds through the Operational Program Azores 2020.info:eu-repo/semantics/publishedVersio

    Technology, privacy, and user opinions of COVID-19 mobile apps for contact tracing : systematic search and content analysis

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    Background: Many countries across the globe have released their own COVID-19 contact tracing apps. This has resulted in the proliferation of several apps that used a variety of technologies. With the absence of a standardized approach used by the authorities, policy makers, and developers, many of these apps were unique. Therefore, they varied by function and the underlying technology used for contact tracing and infection reporting. Objective: The goal of this study was to analyze most of the COVID-19 contact tracing apps in use today. Beyond investigating the privacy features, design, and implications of these apps, this research examined the underlying technologies used in contact tracing apps. It also attempted to provide some insights into their level of penetration and to gauge their public reception. This research also investigated the data collection, reporting, retention, and destruction procedures used by each of the apps under review. Methods: This research study evaluated 13 apps corresponding to 10 countries based on the underlying technology used. The inclusion criteria ensured that most COVID-19-declared epicenters (ie, countries) were included in the sample, such as Italy. The evaluated apps also included countries that did relatively well in controlling the outbreak of COVID-19, such as Singapore. Informational and unofficial contact tracing apps were excluded from this study. A total of 30,000 reviews corresponding to the 13 apps were scraped from app store webpages and analyzed. Results: This study identified seven distinct technologies used by COVID-19 tracing apps and 13 distinct apps. The United States was reported to have released the most contact tracing apps, followed by Italy. Bluetooth was the most frequently used underlying technology, employed by seven apps, whereas three apps used GPS. The Norwegian, Singaporean, Georgian, and New Zealand apps were among those that collected the most personal information from users, whereas some apps, such as the Swiss app and the Italian (Immuni) app, did not collect any user information. The observed minimum amount of time implemented for most of the apps with regard to data destruction was 14 days, while the Georgian app retained records for 3 years. No significant battery drainage issue was reported for most of the apps. Interestingly, only about 2% of the reviewers expressed concerns about their privacy across all apps. The number and frequency of technical issues reported on the Apple App Store were significantly more than those reported on Google Play; the highest was with the New Zealand app, with 27% of the reviewers reporting technical difficulties (ie, 10% out of 27% scraped reviews reported that the app did not work). The Norwegian, Swiss, and US (PathCheck) apps had the least reported technical issues, sitting at just below 10%. In terms of usability, many apps, such as those from Singapore, Australia, and Switzerland, did not provide the users with an option to sign out from their apps. Conclusions: This article highlighted the fact that COVID-19 contact tracing apps are still facing many obstacles toward their widespread and public acceptance. The main challenges are related to the technical, usability, and privacy issues or to the requirements reported by some users

    Assessing the Impacts of Agriculture and Its Trade on Philippine Biodiversity

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    Many Philippine species are at risk of extinction because of habitat loss and degradation driven by agricultural land use and land-use change. The Philippines is one of the world’s primary banana and pineapple producers. The input-intensive style of plantation agriculture for these typically exported crops has many adverse effects on the environment. While global studies have attempted to understand the biodiversity impacts of agricultural goods, there are few studies that have investigated the Philippines specifically. In this study, Philippine policies and data are investigated to better characterize the nexus between agriculture, biodiversity, and trade. An analysis of key national policies highlights that more stringent definitions and protections for biodiversity are needed to recognize the increasing roles that agricultural production, and importantly, its global trade, have on threatened Philippine species. A geographical analysis shows that many banana and pineapple plantations in Mindanao and their surrounding agricultural impact zones overlap with ecologically important areas, such as Protected Areas and Important Bird Areas. Overlaps of recorded species occurrence are observed within the immediate zones surrounding 250 plantations for banana and pineapple in Mindanao, with 83 threatened species of Philippine fauna and tree at risk of exposure to the impacts of intensive agriculture

    The global EPTO database: Worldwide occurrences of aquatic insects

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    Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ) Fundacao de Apoio a Pesquisa do Distrito Federal (FAPDF)Fundacao de Amparo a Pesquisa do Estado do Amazonas (FAPEAM)BIODIVERSA/FAPEAMConselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)Bundesministerium fuer Bildung und ForschungCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES)FAPEAM-Program POSGRADFundacao de Amparo a Pesquisa do Estado de Minas Gerais (FAPEMIG)INPA/MCTI 465540/2014-7Leibniz Competition 0621187/2017Leibniz-Gemeinschaft R20F0002Conselho Nacional de Desenvolvimento Cientifico e Tecnologico (CNPQ)Instituto Nacional de Pesquisas da Amazpnia, unidade de~pesquisa Ministerio da Ciencia, Tecnologia e Inovacoes (INPA/MCTI) 403758/2021-1Programa Peixe Vivo of the Companhia Energetica de Minas Gerais 033W034ARoyal Society of New ZealandTertiary Education CommissionFundacao de Amparo a Pesquisa do Estado de Sao Paulo (FAPESP)Foundation for Science and TechnologyAssociate LaboratoryARNET J45/2018CEE

    The effectiveness of a large protected area to conserve a global endemism hotspot may vanish in the face of climate and land-use changes

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    Endemic vertebrates are a crucial component of biodiversity, yet face disproportionally high extinction risk as climate and land-use changes drive habitat loss. Large protected areas are therefore deemed necessary to mitigate biodiversity loss. In 2021, China's Giant Panda National Park (GPNP, 27,134 km(2)) was established in one of the global endemism hotspots. In this study we ask the question whether this large national park is able to conserve the many threatened endemic vertebrates occurring in the region in the face of climate and land-use changes, in order to assess the long-term effectiveness of the GPNP. We used species distribution modeling techniques to project the distributions of 40 threatened terrestrial (and freshwater) endemic vertebrates under land-use and climate change scenarios SSP2-4.5, SSP3-7.0 and SSP5-8.5 in 2081-2100, and assessed the extent to which their distributions are covered by the GPNP, now and in the future. We found that by 2081-2100, two thirds of the threatened endemic vertebrates are predicted to lose part (15-79%, N = 4) of or (nearly) their entire (80-100% loss, N = 23) range under all three climate and land-use change scenarios. Consequently, fewer species are predicted to occur in the GPNP than at present. Our findings confirm the high vulnerability of threatened endemic species to climate and land-use changes, despite protected areas. Habitat loss due to climate and land-use changes elevate extinction risk of species in endemism hotspots across the globe. Urgent, widespread and intensified mitigation measures and adaptation measures are required at a landscape scale for effective conservation efforts in the future

    Assessing the conservation of Miombo timber species through an integrated index of anthropogenic and climatic threats

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    Aim: Angolan Miombo woodlands, rich in timber species of the Leguminosae family, go through one of the highest rates of deforestation in sub-Saharan Africa. This study presents, on the basis of updated information of the distribution of Leguminosae timber species native to Angola, an integrated index framing the main threats for trees, which aims to support new conservation measures. Location: Sub-Saharan Africa, Republic of Angola. Methods: The current distribution areas of six Leguminosae timber species (i.e., Afzelia quanzensis, Brachystegia spiciformis, Guibourtia coleosperma, Isoberlinia angolensis, Julbernardia paniculata, and Pterocarpus angolensis) were predicted through ensemble modeling techniques. The level of threat to each species was analyzed, comparing the species potential distribution with a threat index map and with the protected areas. The threat index of anthropogenic and climatic factors encompasses the effects of population density, agriculture, proximity to roads, loss of tree cover, overexploitation, trends in wildfires, and predicted changes in temperature and precipitation. Results: Our results revealed that about 0.5% of Angola's area is classified as of “Very high” threat, 23.9% as “High” threat, and 66.5% as “Moderate” threat. Three of the studied species require special conservation efforts, namely B. spiciformis and I. angolensis, which have a large fraction of predicted distribution in areas of high threat, and G. coleosperma since it has a restricted distribution area and is one of the most valuable species in international markets. The priority areas for the conservation of Leguminosae timber species were found in Benguela and Huíla.Main conclusions: This study provides updated data that should be applied to inform policymakers, contributing to national conservation planning and protection of native flora in Angola. Moreover, it presents a methodological approach for the predictions of species distribution and for the creation of a threat index map that can be applied in other poorly surveyed tropical regions.info:eu-repo/semantics/publishedVersio
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