scholarly journals The South African National Plant Checklist: Maintaining the taxonomic backbone for a megadiverse country

2021 ◽  
Vol 5 ◽  
Author(s):  
Ronell Klopper ◽  
Pieter Winter ◽  
Marianne Le Roux
Keyword(s):  
South Africa ◽  
Information System ◽  
South African ◽  
Southern Africa ◽  
Agricultural Research ◽  
Flowering Plants ◽  
Similar Data ◽  
The South ◽  
National Herbarium ◽  
African Plants

Updated country and regional plant checklists for southern Africa have been available for several decades. These form the backbone of foundational and applied biodiversity-related processes, e.g., herbarium specimen curation, conservation assessments, and biodiversity policy and planning activities. A plant taxonomic backbone for South Africa has been maintained electronically since the 1970s; originally in the custom-built National Herbarium, Pretoria Computerised Information System (PRECIS) database; and currently in the Botanical Database of Southern Africa (BODATSA), using Botanical Research & Herbarium Management System (BRAHMS) software. The BODATSA species table contains ca. 129,000 names of fungi, algae, mosses, lycophytes and ferns, conifers, and flowering plants. Taxonomic backbone data is continuously expanded, updated, and improved following strict policies and standards in an attempt to keep it up-to-date and current. The South African National Plant Checklist (SANPC) Policy stipulates that a single classification is followed for taxonomic groups at the family level and above. Thus a classification system was chosen for each plant group represented in the backbone. For genera and below, the latest published evidence-based classification is followed. Where there are opposing classifications for a group based on similar data, the SANPC Committee decides which classification is most suitable from a southern African perspective. Researchers can also make an appeal to the Committee not to follow the latest publication, if it is controversial. Updating primarily involves keeping track of literature references and the taxon additions, synonymies, and other taxonomic and nomenclatural changes they represent. Attributes affected by such changes are adjusted in the taxon module of BODATSA. Currently the taxonomic backbone for indigenous and naturalised mosses, liverworts, hornworts, ferns and lycophytes, conifers, and flowering plants is actively maintained and updated. Fungal names are not curated in BODATSA, as the Mycology Unit of the Agricultural Research Council (ARC) of South Africa maintains a taxonomic backbone for fungi. In future, all fungal names will be migrated to a separate instance of BRAHMS, and links to the ARC database will be established to update the fungal backbone. Previously algae were not included in BODATSA or the SANPC, but algal names are now being added to the backbone. Only names of green and red algae will be added initially. Maintenance of the names for indigenous taxa in southern Africa was always prioritised in the taxonomic backbone. Recently, the scope was expanded to also focus more on our naturalised flora. For these taxa, expansion involved tagging some existing names as naturalised or invasive and adding others. Thus far this dataset has been managed differently, and we realize that to some extent, this will need to continue going forward since information here are more about presence or absence, and confirmation of naturalised status. BODATSA also houses 1.37 million specimen records for more than 2 million specimens housed in the three herbaria of the South African National Biodiversity Institute (SANBI): Compton Herbarium (NBG & SAM), Cape Town; KwaZulu-Natal Herbarium (NH), Durban; and National Herbarium (PRE), Pretoria. Determinations of specimen records are directly linked to names in the taxonomic backbone. Any changes in the backbone thus filter down to the specimen records and should ideally also be reflected in the physical herbarium collections. Checklists for South Africa and the Flora of southern African region were initially published in hardcopy, with some later made available in pdf format. An official yearly release of the SANPC (currently containing just under 40,000 names for indigenous and naturalised mosses, liverworts, hornworts, lycophytes and ferns, conifers, and flowering plants occurring in South Africa) is now made available online as a downloadable spreadsheet, together with other checklist-related documents. This part of the backbone is also accessible in the searchable online platform, Plants of southern Africa (POSA). In line with global initiatives to mobilise plant biodiversity data, this platform provides specimen record data as well, and will soon link descriptive data from the e-Flora of South Africa project to the backbone (once the National Biodiversity Information System website upgrade is finalised). The SANPC connects with several international initiatives and is utilised to update the taxonomic backbones of, amongst others, the World Flora Online (WFO) Project (including the WFO Plant List) and the African Plants Database. This contribution will briefly outline the history of compiling, updating, and disseminating the taxonomic backbone of southern African plants. It will provide information on current data management processes and procedures. Challenges relating to updating the taxonomic backbone, will be highlighted and discussed.

scholarly journals First Report of Maize streak virus Field Infection of Sugarcane in South Africa

Plant Disease ◽  
2008 ◽  
Vol 92 (6) ◽  
pp. 982-982 ◽  
Author(s):  
T. van Antwerpen ◽  
S. A. McFarlane ◽  
G. F. Buchanan ◽  
D. N. Shepherd ◽  
D. P. Martin ◽  
...  
Keyword(s):  
South Africa ◽  
South African ◽  
Southern Africa ◽  
Maize Streak Virus ◽  
Streak Virus ◽  
Yield Losses ◽  
The South ◽  
Sugarcane Cultivar ◽  
First Report ◽  
The Impact

Prior to the introduction of highly resistant sugarcane varieties, Sugarcane streak virus (SSV) caused serious sugar yield losses in southern Africa. Recently, sugarcane plants with streak symptoms have been identified across South Africa. Unlike the characteristic fine stippling and streaking of SSV, the symptoms resembled the broader, elongated chlorotic lesions commonly observed in wild grasses infected with the related Maize streak virus (MSV). Importantly, these symptoms have been reported on a newly released South African sugarcane cultivar, N44 (resistant to SSV). Following a first report from southern KwaZulu-Natal, South Africa in February 2006, a survey in May 2007 identified numerous plants with identical symptoms in fields of cvs. N44, N27, and N36 across the entire South African sugarcane-growing region. Between 0.04 and 1.6% of the plants in infected fields had streak symptoms. Wild grass species with similar streaking symptoms were observed adjacent to one of these fields. Potted stalks collected from infected N44 plants germinated in a glasshouse exhibited streak symptoms within 10 days. Virus genomes were isolated and sequenced from a symptomatic N44 and Urochloa plantaginea plants collected from one of the surveyed fields (1). Phylogenetic analysis determined that while viruses from both plants closely resembled the South African maize-adapted MSV strain, MSV-A4 (>98.5% genome-wide sequence identity), they were only very distantly related to SSV (~65% identity; MSV-Sasri_S: EU152254; MSV-Sasri_G: EU152255). To our knowledge, this is the first confirmed report of maize-adapted MSV variants in sugarcane. In the 1980s, “MSV strains” were serologically identified in sugarcane plants exhibiting streak symptoms in Reunion and Mauritius, but these were not genetically characterized (2,3). There have been no subsequent reports on the impact of such MSV infections on sugarcane cultivation on these islands. Also, at least five MSV strains have now been described, only one of which, MSV-A, causes significant disease in maize and it is unknown which strain was responsible for sugarcane diseases on these islands in the 1980s (2,3). MSV-A infections could have serious implications for the South African sugar industry. Besides yield losses in infected plants due to stunting and reduced photosynthesis, the virus could be considerably more difficult to control than it is in maize because sugarcane is vegetatively propagated and individual plants remain within fields for years rather than months. Moreover, there is a large MSV-A reservoir in maize and other grasses everywhere sugarcane is grown in southern Africa. References: (1) B. E. Owor et al. J Virol. Methods 140:100, 2007. (2) M. S. Pinner and P. G. Markham. J. Gen. Virol. 71:1635, 1990. (3) M. S. Pinner et al. Plant Pathol. 37:74, 1998.

Eswatini (formerly Swaziland)

2020 ◽  
Author(s):  
Marius Schneider ◽  
Vanessa Ferguson
Keyword(s):  
South Africa ◽  
Exchange Rate ◽  
South African ◽  
Southern Africa ◽  
The South ◽  
The Common ◽  
One To One ◽  
South African Rand

Eswatini, formally known as the Kingdom of Eswatini, is a landlocked country in Southern Africa and one of the smallest countries in Africa with a total area of 17,364 square kilometres (km) and a population of 1,367 (2017). It is bordered by Mozambique and South Africa. The capital and main business centre of Eswatini is Mbabane. The working week is from Monday to Friday from 0800 to 1300 and 1400 to 1700. The Swaziland Lilangeni (SZL/ E) is the official currency of Eswatini. The Lilangeni was introduced in 1974 to compete with the South African rand through the Common Monetary Area, to which it remains tied at a one-to-one exchange rate.

scholarly journals The Structure of the sunflower plant breeders’ rights landscape in South Africa

2020 ◽  
Vol 116 (9/10) ◽  
Author(s):  
Charity R. Nhemachena ◽  
Binganidzo Muchara
Keyword(s):  
South Africa ◽  
South African ◽  
Agricultural Research ◽  
Weather Conditions ◽  
The South ◽  
Data Set ◽  
Agricultural Research Council ◽  
Adverse Weather ◽  
Private And Public ◽  
Plant Breeders Rights

Varietal innovations and protection of plant breeders’ rights (PBRs) contribute to the development of any crop’s ability to produce higher yields relatively consistently. Producing yields under adverse weather conditions and the overall characteristic of drought tolerance, make the sunflower an attractive crop for producers in dryland production regions. The main objective of this study was to give an overview of the structure of the South African sunflower breeding programme, focusing on the construction of PBRs and the leading players in sunflower breeding and seed production in South Africa. We compiled a detailed database of sunflower varietal innovations in South Africa from 1979 to 2019 using various sources such as the South African Grain Laboratory, the Department of Agriculture’s Plant Variety Journals and the Crop Estimation Committee. This data set was then analysed using descriptive statistics and trend analysis to determine the main trends in ownership of PBRs and sunflower varieties. We looked at the inclusion of new sunflower varieties on the national variety list for sunflower varietal improvements in South Africa over this period. A total of 76 PBR sunflower varietal applications were lodged for the period – an average of 1.9 applications per year. The principal applicants for varietal inclusions on the national variety list were Pannar with 102 varieties (23.8%), Pioneer seeds with 51 varieties (11%), Saffola seed with 42 varieties (9.8%) and Agricultural Research Council with 10 varieties (2.3%). In order for breeders to benefit from their investment in research and avoid exploitation of their work, they need to be protected and receive returns on their investments. Innovation can be stimulated by proper collaboration between the private and public sectors, aided by broader variety sector legislation that encourages all players to invest.

Apartheid's Bomb and Regional Liberation: Cold War Perspectives

2019 ◽  
Vol 21 (1) ◽  
pp. 151-165
Author(s):  
Anna-Mart van Wyk
Keyword(s):  
South Africa ◽  
Cold War ◽  
South African ◽  
Southern Africa ◽  
Nuclear Weapons ◽  
The United States ◽  
African National Congress ◽  
The South ◽  
Nuclear Arsenal ◽  
The Cold War

South Africa had a small, highly classified nuclear weapons program that produced a small but potent nuclear arsenal. At the end of the 1980s, as South Africa was nearing a transition to black majority rule, the South African government destroyed its nuclear arsenal and its research facilities connected with nuclear armaments and ballistic missiles. This article, based on archival research in the United States and South Africa, shows that the South African nuclear weapons program has to be understood in the context of the Cold War battlefield that southern Africa became in the mid-1970s. The article illuminates the complex U.S.–South African relationship and explains why the apartheid government in Pretoria sought nuclear weapons as a deterrent in the face of extensive Soviet-bloc aid to black liberation movements in southern Africa, the escalating conflict with Cuban forces and Soviet-backed guerrillas on Namibia's northern frontier, and the attacks waged by the African National Congress from exile. A clear link can be drawn between the apartheid government's quest for a nuclear deterrent, liberation in southern Africa, and the Cold War.

The U.S.S.R. and Southern Africa Since 1976

1984 ◽  
Vol 22 (1) ◽  
pp. 73-108 ◽  
Author(s):  
Keith Somerville
Keyword(s):  
South Africa ◽  
South African ◽  
Southern Africa ◽  
The South ◽  
African Coast ◽  
The Times

This extract from an editorial in The Times, which followed the capture of a Soviet warrant officer by invading South African forces in southern Angola in September 1981, sums up well the attitude in many western quarters, including most governments, towards Soviet involvement in the continent, particularly Southern Africa. It was widely assumed that the victory of the Movimento Popular de Libertação de Angola led by Agostinho Neto, achieved with substantial Soviet and Cuban aid, would lead to the use of Angola as a springboard for communist intervention in Zimbabwe, Namibia, and South Africa. Those who supported this premise believed that Moscow's leaders wished to be in a position to control the sea-lanes off the South African coast, and that

Additions to the holothuroid fauna of the southern African temperate faunistic provinces, with descriptions of new species

Zootaxa ◽  
2008 ◽  
Vol 1697 (1) ◽  
pp. 1 ◽  
Author(s):  
AHMED S. THANDAR
Keyword(s):  
South Africa ◽  
New Species ◽  
South African ◽  
Southern Africa ◽  
East Coast ◽  
New Records ◽  
The South ◽  
Temperate Region ◽  
The Third

This paper is the third and the final one in the series reporting on the numerous lots of unidentified holothuroids received from the South African and Natal Museums. While the first two papers were limited to the fauna of the subtropical east coast, this paper is limited to the fauna of the temperate region of southern Africa, west of the Port St. Johns-East London area, encompassing the warm and cold temperate faunistic provinces, stretching into Namibia. It records and/or describes 23 nominal and four indeterminate species of mostly dendrochirotid holothuroids. Altogether seven new species and three new records for the region under consideration are included and some new data presented for previously described but poorly known species, where this was lacking. The new species are Sclerothyone unicolumnus, Ocnus rowei, Cladodactyla brunspicula, Panningia trispicula, Psolidium pulcherrimum, P. pseudopulcherrimum and Synallactes samyni whereas the new records for South Africa are Pannychia moseleyi Théel; for the temperate region, Pawsonellus africanus Thandar; and for Namibia, Pseudoaslia tetracentriophora Heding.

The diversity of South African spiders (Arachnida: Araneae: Documenting a National Survey).

2013 ◽  
Vol 32 (1) ◽  
Author(s):  
Ansie Dippenaar-Schoeman ◽  
Almie Van den Berg ◽  
Robin Lyle ◽  
Charles Haddad ◽  
Stefan Foord ◽  
...  
Keyword(s):  
South Africa ◽  
South African ◽  
National Survey ◽  
Agricultural Research ◽  
National Level ◽  
Field Work ◽  
Second Phase ◽  
The South ◽  
Distribution Maps ◽  
Spatial Coverage

The South African National Survey of Arachnida (SANSA) was initiated in 1997 by the Agricultural Research Council (ARC), with the main aim of documenting the Arachnid fauna of South Africa at a national level. Through their Endangered Species Programme, the South African National Biodiversity Institute (SANBI) came on board for the project’s second phase, called SANSA II, from 2006 to 2010, in partnership with the ARC. During this four-year project an attempt was made to consolidate all available data on South African spiders into one database. This data was used to determine the spatial coverage of the already available data, and to determine where ‘gaps’ in the data lie to identify priority areas for focused field work. Due to extensive collecting done by SANSA field work managers, specimen bycatches from other research projects, student projects, and through public participation in collecting specimens, more than 40 degree square grids were sampled in previously poorly sampled areas. This effort has provided valuable material that has improved our knowledge of the distribution of species, and provided specimens for future taxonomic studies. All this data was used to compile the First Atlas of the Spider Species of South Africa, including georeferenced locality data, distribution maps and information on the level of endemicity of each species. Following SANSA II, 71 spider families, 471 genera and 2028 species are presently known in South Africa. The third phase of SANSA started in 2011 and several actions, such as Red Listing of species, a handbook series for all the biomes, publication of the atlas, and description of new species are underway.

scholarly journals South African Weather Service operational satellite based precipitation estimation technique: applications and improvements

2010 ◽  
Vol 7 (6) ◽  
pp. 8837-8871 ◽  
Author(s):  
E. de Coning ◽  
E. R. Poolman
Keyword(s):  
South Africa ◽  
South African ◽  
Southern Africa ◽  
Flash Flood ◽  
Unified Model ◽  
Guidance System ◽  
Local Version ◽  
The South ◽  
Precipitation Measurement ◽  
Flash Flood Guidance

Abstract. Extreme weather related to heavy or more frequent precipitation events seem to be a likely possibility for the future of our planet. While precipitation measurements can be done by means of rain gauges, the obvious disadvantages of point measurements are driving meteorologists towards remotely sensed precipitation methods. In South Africa more sophisticated and expensive nowcasting technology such as radar and lightning networks are available, supported by a fairly dense rain gauge network of about 1500 gauges. In the rest of southern Africa rainfall measurements are more difficult to obtain. The availability of the local version of the Unified Model and the Meteosat Second Generation satellite data make these products ideal components of precipitation measurement in data sparse regions such as Africa. In this article the local version of the Hydroestimator (originally from NOAA/NESDIS) is discussed as well as its applications for precipitation measurement in this region. Hourly accumulations of the Hydroestimator are currently used as a satellite based precipitation estimator for the South African Flash Flood Guidance system. However, the Hydroestimator is by no means a perfect representation of the real rainfall. In this study the Hydroestimator and the stratiform rainfall field from the Unified Model are both bias corrected and then combined into a new precipitation field which can feed into the South African Flash Flood Guidance system. This new product should provide a more accurate and comprehensive input to the Flash Flood Guidance systems in South Africa as well as southern Africa. In this way the southern African region where data is sparse and very few radars are available can have access to more accurate flash flood guidance.

scholarly journals SASRAD: An hourly-timestep solar radiation database for South Africa

2009 ◽  
Vol 20 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Daniel Ciolkosz
Keyword(s):  
South Africa ◽  
Solar Radiation ◽  
South African ◽  
Agricultural Research ◽  
Data Sets ◽  
Correction Algorithm ◽  
The South ◽  
Data Set ◽  
Agricultural Research Council ◽  
Range Correction

A methodology is presented for the correction and filling of solar radiation data at sites within South Africa, with the aim of creating a continuous, hourly-timestep dataset for multiple locations. Data from twenty sites, collected by the Agricultural Research Council, are analysed with regard to the amount of data requiring offset or multiplier adjustment, as well as the amount of bad data. A range correction algorithm is implemented based on the 90th percentile (10% exceedance) hourly irradiance, as a function of site latitude and elevation. The resulting, corrected data set is given the title: South African Solar Radiation Database (SASRAD). Comparisons are made with two other solar radiation datasets, the South African Atlas of Agrohydrology and Climatology, and a limited set of older historical data from the South African Weather Service (SAWS). Results indicate that the SASRAD dataset matches well with other datasets, with major discrepancies apparently due to problems with the other data sets, rather than the SASRAD data. The Coefficient of Multiple Determination (R2) between the Atlas and SASRAD for monthly radiation is 0.927, and the mean error between three of the SASRAD sites and the corresponding SAWS data is 1.1 MJ m-2 d-1. The fraction of data requiring correction varied from 11% to 100%, depending on the site. The range correction algorithm was successful at correcting data that had been subject to incorrect calibration, and did not remove annual trends in mean radiation levels.

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