2018
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This data-set comprises validated species occurrence records of Neuroptera and Megaloptera across Africa, although the bulk of the data is for South Africa, Lesotho and Eswatini (former Swaziland). It is a collection of data from citizen science contributions, museum collections, personal notebooks, published literature records, and other unpublished sources. Records range from 1924 to present. The Neuroptera and Megaloptera are collectively loosely termed the "lacewings." Hence the name LacewingMAP. This is a somewhat obscure group of insects, and this project is an ideal way to sensitize everyone to their existence. Lacewings are one of nature's best all-purpose predators and provide essential "ecosystem services": they control aphids. LacewingMAP is a project in collaboration with Dr Mervyn Mansel, University of Pretoria, and a world leader in lacewing research. . He has digitized the museum specimens in the major museum collections in southern Africa. This data was uploaded into GBIF and forms the basis of the data holdings in LacewingMAP. LacewingMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of “Lacewings” on the African continent. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator, a professional entomologist. All data available in this dataset is shareable. Records are provided at the recorded precision, usually point coordinates. However, historical records were assigned to a 15x15 minute grid (or QDS) based on the locality description when no coordinates were provided. The coverage is good for South Africa, Lesotho and Eswatini, moderate for Namibia, Botswana, Zimbabwe, and Malawi but very sparse for the rest of Africa.
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The Second Southern African Bird Atlas Project (SABAP2) is the most important bird monitoring project in the region. It holds this status because all other conservation initiatives depend on the results of the bird atlas, to a greater or lesser extent. You cannot determine the conservation status of a species unless you know its range and how this is changing. So red-listing depends on the results of this project. So does the selection of sites and habitats critical to bird conservation. SABAP2 is the follow-up project to the Southern African Bird Atlas Project (for which the acronym was SABAP, and which is now referred to as SABAP1). This first bird atlas project took place from 1987-1991. The second bird atlas project started on 1 July 2007 and plans to run indefinitely. The project aims to map the distribution and relative abundance of birds in southern Africa and the atlas area includes South Africa, Lesotho and Swaziland. SABAP2 was launched in Namibia in May 2012. The field work for this project is done by more than two thousand one hundred volunteers, known as citizen scientists - they are making a huge contribution to the conservation of birds and their habitats. The unit of data collection is the pentad, five minutes of latitude by five minutes of longitude, squares with sides of roughly 9 km. There are 17339 pentads in the original atlas area of South Africa, Lesotho and Swaziland, and a further 10600 in Namibia, 4900 in Zimbabawe and 6817 in Kenya. At the end of June 2017, the SABAP2 database contained more than 189,000 checklists. The milestone of 10 million records of bird distribution in the SABAP2 database was less than 300,000 records away. Nine million records was reached on 29 December 2016, eight months after reaching on 14 April 2016, which in turn was eight months after reaching seven million on 22 August 2015, and 10 months after the six million record milestone. Knocking of a million records in eight month periods is become an awesome norm. More than 78% of the original SABAP2 atlas area (ie South Africa, Lesotho and Swaziland) has at least one checklist at this stage in the project's development. More than 36% of pentads have four or more lists. The most pressing data collection needs are to get coverage as complete as possible, and to try to build a foundation of four checklists per pentad. On top of this foundation the skyscraper of checklists can be built. Ideally, we would like checklists representing every month of the year. We would also like to have lots of checklists for each pentad in every year.
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The South African Ringing Scheme (SAFRING) is based at the University of Cape Town and provides bird ringing services in South Africa and other African countries. This entails providing ringing equipment to qualified ringers, and curating all ringing data. SAFRING communicates with ringers and interested parties through annually publishing one or two issues of a newsletter, Afring News, and by maintaining a list server. SAFRING holds national training courses, annually if there is sufficient demand. SAFRING liaises with the provinces who have the responsibility of issuing permits. SAFRING has a strict code of ethics to ensure the safety of birds handled. SAFRING acknowledges the importance of bird ringing in that it has been described as the most important tool in ornithology in the 20th century.
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This data-set comprises validated species occurrence records of trees of the African continent. It is a collection of data from citizen science contributions, personal notes and other unpublished sources. Records range from 1960 to present. TreeMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of trees and shrubs in southern Africa. TreeMAP is helping to build the 21st century distribution maps for southern African's trees. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator. All data, excepting records for sensitive taxa, are available to the public. Records are provided at the recorded precision, usually point coordinates. The coverage is moderate for South Africa, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of Mushrooms of the African continent. It is a collection of data from citizen science contributions. Records range from 1986 to present. Interest in mushrooms is mushrooming. Mushrooms are somehow mysterious, appearing and disappearing. MushroomMAP aims to help solve one of the big mushroom mysteries: "How are they distributed?" Even within South Africa this information is remarkably incomplete. This Virtual Museum project focuses on the "macrofungi", the mushrooms (and other fungi) that are more than about 5 mm in size. This is the same cut-off as used by Marieka Gryzenhout in her guidebook "Mushrooms of South Africa" published by Struik Nature. In her book, she describes the distribution of many species "widespread." So MushroomMAP provides the opportunity to make a real contribution to our understanding of the distribution of this fascinating component of biodiversity. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator. All data, excepting records for sensitive taxa, are available to the public. Records are provided at the recorded precision, usually point coordinates. The coverage is moderate for South Africa, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of Orchids (Family Orchidaceae) of the African continent. It is a collection of data from citizen science contributions, herbarium records, literature records, personal notes and other unpublished sources. Records range from 1734 to present. Orchids are a charismatic and diverse family of flowering plants. With over 470 species in South Africa alone and more than 3300 species throughout Africa and Madagascar, we have a rich orchid flora. However, in recent years the collection of traditional herbarium specimens has been declining and our understating of where orchids are found is becoming ever more outdated. OrchidMAP aims to reverse this trend with the help of orchid lovers. OrchidMAP is interested in distributions and flowering times of all orchids in Africa, Madagascar and the Western Indian Ocean Islands including naturalized or wild growing exotic species. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator. All data, excepting records for sensitive taxa, are available to the public. Records are provided at the recorded precision, usually point coordinates. The coverage is moderate for South Africa, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of Amphibians on the African continent, although the bulk of the data is for South Africa, Lesotho and Eswatini (former Swaziland). FrogMAP aims to build on the distribution data collected during seven years of fieldwork (1996-2003), plus earlier data compiled from museum records, private collections, the literature, and conservation agencies. Records range from 1905 to present. FrogMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of Amphibians on the African continent. FrogMAP is building the 21st century distribution maps for Africa's Amphibians. FrogMAP also aims to improve public awareness of the value and plight of Amphibians and also provide government agencies with a clear definition of conservation priorities that will help them to plan their activities. FrogMAP is the continuation of the Southern African Frog Atlas Project (SAFAP) and incorporates the full SAFAP database with the current taxonomy. SAFAP data was used for the 2003 red listing of all frog species of the region, the results were published in the book “Atlas and Red Data Book of the Frogs of South Africa, Lesotho and Swaziland”, published by the Smithsonian Institution, USA. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator, a professional herpetologist. The data available to the public is the subset of shareable records (see Lineage for details), also, records for sensitive taxa are not available to the public. Records are provided at the recorded precision, usually point coordinates. However, historical records were assigned to a 15x15 minute grid (or QDS) based on the locality description when no coordinates were provided. The coverage is good for South Africa, Lesotho and Eswatini, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of Insect Order Lepidoptera (moths and butterflies) across Africa, although the bulk of the data is for South Africa, Lesotho and Eswatini (former Swaziland). It is a collection of data from citizen science contributions, museum and private collections, personal notebooks, published literature records, surveys and other unpublished sources. Records range from 1800 to present. LepiMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of Lepidoptera on the African continent. LepiMAP is building the 21st century distribution maps for Africa's moths and butterflies. LepiMAP also aims to improve public awareness of the value and plight of Lepidoptera and also provide government agencies with a clear definition of conservation priorities that will help them to plan their activities. LepiMAP is the continuation of the Southern African Butterfly Conservation Assessment (SABCA) and incorporates the full SABCA database. SABCA was formally stablished in 2007 as a three-way partnership between the Animal Demography Unit (Department of Biological Sciences, University of Cape Town), The Lepidopterists' Society of Africa (Lepsoc), and the South African National Biodiversity Institute (SANBI). Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator. All data, excepting records for sensitive taxa, are available to the public. Records are provided at the recorded precision, usually point coordinates. However, historical records were assigned to a 15x15 minute grid (or QDS) based on the locality description when no coordinates were provided. The coverage is good for South Africa, Lesotho and Eswatini, moderate for Namibia, Botswana, Malawi and Zimbabwe, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of Reptiles across Africa, although the bulk of the data is for South Africa, Lesotho and Eswatini (former Swaziland). It is a collection of data from citizen science contributions, museum collections, personal notebooks, published literature records, and other unpublished sources. Records range from 1834 to present. ReptileMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of Reptiles on the African continent. ReptileMAP is building the 21st century distribution maps for Africa's reptiles. ReptileMAP also aims to improve public awareness of the value and plight of reptiles and also provide government agencies with a clear definition of conservation priorities that will help them to plan their activities. ReptileMAP is the continuation of the Southern African Reptile Conservation Assessment (SARCA) and incorporates the full SARCA database. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator, a professional herpetologist. The data available to the public is the subset of shareable records (see Lineage for details), also, records for sensitive taxa are not available to the public. Records are provided at the recorded precision, usually point coordinates. However, historical records were assigned to a 15x15 minute grid (or QDS) based on the locality description when no coordinates were provided. The coverage is good for South Africa, Lesotho and Eswatini, moderate for Namibia, Botswana and Zimbabwe, but very sparse for the rest of Africa.
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This data-set comprises validated species occurrence records of the Echinoderms (starfish, sea-urchins, brittle-stars and their kin) occurring in the seas and coasts of the African continent. It is a collection of data from citizen science contributions, museum collections, and published literature records. Records range from 1938 to present. EchinoMAP is a Virtual Museum and citizen science project which aims to determine the distribution and conservation priorities of Echinoderms on the African continent. It aims to serve as a repository of all existing distribution data for this group in the African continent. Echinoderms (starfish, sea-urchins, brittle-stars and their kin) are conspicuous and attractive marine animals, frequently photographed by divers. Although many can be identified from photographs, no comprehensive guide to South African species exists, making it difficult to accurately identify images. The fauna is also poorly know, making it very likely that divers will encounter species new to the region, or even to science. This site aims to collate all available images of echinoderms from South Africa, thus building up a comprehensive identification guide, as well as mapping the ranges of each species. Images of all South African echinoderms are welcomed and all contribute equally towards a better understanding of the distribution patterns of these fascinating creatures. Identification of citizen science records, based on the photos uploaded, is done by a panel of experts in the relevant taxa. The taxonomy is kept up-to-date by the project coordinator. The complete data-set is available to the public. Records are provided at the recorded precision, usually point coordinates. However, historical records were assigned to a 15x15 minute grid (or QDS) based on the locality description when no coordinates were provided. The coverage is moderate for the South African coast, but very sparse for the rest of Africa.