06/01059 Chemical fractionation tests on South African coal sources to obtain species-specific information on ash fusion temperatures (AFT)

2006 ◽  
Vol 47 (3) ◽  
pp. 162
Fuel ◽  
2005 ◽  
Vol 84 (14-15) ◽  
pp. 1768-1777 ◽  
Author(s):  
J.C. van Dyk ◽  
L.L. Baxter ◽  
J.H.P. van Heerden ◽  
R.L.J. Coetzer

Koedoe ◽  
2016 ◽  
Vol 58 (1) ◽  
Author(s):  
Stefan H. Foord ◽  
Anna S. Dippenaar-Schoeman ◽  
Rudy Jocqué ◽  
Charles R. Haddad ◽  
Robin Lyle ◽  
...  

The aim of the South African National Survey of Arachnida (SANSA) is to document the Arachnida fauna of South Africa. One of the focus areas of SANSA is to survey protected areas to obtain species-specific information, and species distribution patterns for Red Data assessments. Here, we provide the first checklist of the spider species of Lekgalameetse Nature Reserve (LNR) in the Limpopo province of South Africa collected during five surveys between 2009 and 2016 using methods targeting both the ground and field layers. Forty-five families, represented by 168 genera and 268 species, have been collected so far. The most species-rich families were the Salticidae (41 spp.) and Araneidae (38 spp.), followed by the Thomisidae (33 spp.), while 11 families were represented by one species. Information on spider guilds, endemicity value and conservation status are provided. The LNR protects approximately 12.2% of the total South African spider fauna. Two species, Hasarinella distincta Haddad & Wesołowska, 2013 (Salticidae) and Ballomma legala Jocqué & Henrard, 2015 (Zodariidae), are presently known to be endemic to the reserve.Conservation implications: The LNR falls within the Savanna Biome in the Limpopo province. Only five spider species were previously known from the reserve and 263 spp. are reported from the reserve for the first time. Thirteen species are possibly new to science and 2 species represent new distribution records for South Africa.


Koedoe ◽  
2018 ◽  
Vol 60 (1) ◽  
Author(s):  
Anna S. Dippenaar-Schoeman ◽  
Charles R. Haddad ◽  
Robin Lyle ◽  
Leon N. Lotz ◽  
Stefan H. Foord ◽  
...  

One of the aims of South African National Survey of Arachnida (SANSA) is to survey protected areas to obtain species-specific information and compile inventories to determine species distribution patterns and evaluate their conservation status for Red Data assessments. The aim of this study, the first in a series of surveys of the Diamond Route Reserves, was to compile the first checklist of the spider species in the Northern Cape at the Tswalu Kalahari Reserve. Spiders were collected during three survey periods (2005−2013) using different collecting methods to sample both the ground and field layers. In total, 32 families represented by 108 genera and 136 species have been collected so far. The most species-rich families are the Salticidae (20 spp.) and Thomisidae (18 spp.), followed by the Gnaphosidae and Araneidae (11 spp. each), while nine families are represented by singletons. The free-living wandering spiders represent 97 spp., while 39 spp. are web-builders. Information on spider guilds, endemicity value and conservation status are provided. The Tswalu Kalahari Reserve protects approximately 6.1% of the total South African spider fauna, while 24.3% of the species found in the reserve are South African endemics, of which 5.9% are Northern Cape endemics. Approximately 6.0% of the species sampled are possibly new to science or represent new records for South Africa.Conservation implications: The Tswalu Kalahari Reserve falls within the Savanna Biome in the Northern Cape province. Only one spider species was previously known from the reserve; a further 135 spp. are reported for the first time, with 5.9% of the species being Northern Cape endemics and 24.3% South African endemics. Approximately 6.0% of the species may be new to science or represent new records for South Africa.


Author(s):  
Linda Sicko-Goad

Although the use of electron microscopy and its varied methodologies is not usually associated with ecological studies, the types of species specific information that can be generated by these techniques are often quite useful in predicting long-term ecosystem effects. The utility of these techniques is especially apparent when one considers both the size range of particles found in the aquatic environment and the complexity of the phytoplankton assemblages.The size range and character of organisms found in the aquatic environment are dependent upon a variety of physical parameters that include sampling depth, location, and time of year. In the winter months, all the Laurentian Great Lakes are uniformly mixed and homothermous in the range of 1.1 to 1.7°C. During this time phytoplankton productivity is quite low.


Plant Disease ◽  
2006 ◽  
Vol 90 (1) ◽  
pp. 97-101 ◽  
Author(s):  
L. Meyer ◽  
G. M. Sanders ◽  
R. Jacobs ◽  
L. Korsten

If South African citrus exporters wish to retain their competitive edge in the European market and access new markets such as the United States of America, it is of quarantine importance to distinguish between the citrus black spot pathogen, Guignardia citricarpa, and the harmless endophyte, G. mangiferae. The endophyte is not a sanitary or phytosanitary concern. This paper describes the design of species-specific primers that are able to detect and distinguish between these two Guignardia species. Application of the primer set CITRIC1 and CAMEL2 in conjunction with the ITS4 primer yielded polymerase chain reaction (PCR) amplicons of approximately 580 bp and 430 bp for G. citricarpa and G. mangiferae, respectively. Results obtained with these primers are in accordance with sequence data, and repeated tests verified accuracy and sensitivity. A BLAST search revealed no matches other than G. citricarpa and G. mangiferae, and no positive PCR results were obtained with Colletotrichum gloeosporioides, which is the most common contaminant in black spot lesions. We are, therefore, able to distinguish G. citricarpa and G. mangiferae unequivocally using a PCR-based method. This method was further improved to directly isolate DNA from fruit lesions by means of the DNeasy Plant Mini Kit (Qiagen). This eliminates the prior need for culturing the slow-growing organism, thereby shortening the time required to one day to test for and verify the presence or absence of the pathogenic G. citricarpa in export consignments.


Koedoe ◽  
2016 ◽  
Vol 58 (1) ◽  
Author(s):  
Stefan H. Foord ◽  
Anna S. Dippenaar-Schoeman ◽  
Rudy Jocqué ◽  
Charles R. Haddad ◽  
Robin Lyle ◽  
...  

The aim of the South African National Survey of Arachnida (SANSA) is to document the Arachnida fauna of South Africa. One of the focus areas of SANSA is to survey protected areas to obtain species-specific information, and species distribution patterns for Red Data assessments. Here, we provide the first checklist of the spider species of Lekgalameetse Nature Reserve (LNR) in the Limpopo province of South Africa collected during five surveys between 2009 and 2016 using methods targeting both the ground and field layers. Forty-five families, represented by 168 genera and 268 species, have been collected so far. The most species-rich families were the Salticidae (41 spp.) and Araneidae (38 spp.), followed by the Thomisidae (33 spp.), while 11 families were represented by one species. Information on spider guilds, endemicity value and conservation status are provided. The LNR protects approximately 12.2% of the total South African spider fauna. Two species, Hasarinella distincta Haddad & Wesołowska, 2013 (Salticidae) and Ballomma legala Jocqué & Henrard, 2015 (Zodariidae), are presently known to be endemic to the reserve.Conservation implications: The LNR falls within the Savanna Biome in the Limpopo province. Only five spider species were previously known from the reserve and 263 spp. are reported from the reserve for the first time. Thirteen species are possibly new to science and 2 species represent new distribution records for South Africa.


2020 ◽  
Author(s):  
Jennien Raffington ◽  
Dirk Steinke ◽  
Dan Tulpan

Abstract BackgroundThe task of recognizing species names in scientific articles is a quintessential step for a large number of applications in high-throughput text mining and data analytics, such as species-specific information collection, construction of species food networks and trophic relationship extraction. These tasks become even more important in fast-paced species-discovery areas such as entomology, where an impressive number of new arthropod species are discovered each year. This article explores the use of twocharacter n-grams (bigrams) in machine learning models for arthropod species name recognition. This particular method has been previously applied successfully to the task of language identification [1] but the application to species name identification had yet to be explored.ResultsArthropod species names, regular English words used in scientific publications and person names were collected from the public domain and bigrams were extracted and used as classifier features. A number of learning classifiers spanning 7 algorithmic categories (tree-based, rule-based, artificial neural network, Bayesian, boosting, lazy and kernel-based) were tested and the highest accuracies were consistently obtained with LIBLINEAR [2], Bayesian Logistic Regression [3], the Multilayer Perceptron [4], Random Forest [5], and the LIBSVM [6] classifiers. When compared with dictionary-based external software tools such as GNRD [7] and TaxonFinder [8], our top-3 classifiers were insensitive to words capitalization and were able to correctly classify novel species names that are absent in dictionary-based approaches with accuracies between 88.6% and 91.6%.ConclusionsOur results suggest that character bigram-based classification is a suitable method for distinguishing arthropod species names from regular English words and person names commonly found in scientific literature. Moreover, our method can also be used to reduce the number of false positives produced by dictionary-based methods.


2021 ◽  
Author(s):  
◽  
Ruth Laura Wood

<p>As part of Wellington Zoo’s current management philosophy to reduce the number of species and increase enclosure size, quality and appropriateness for those remaining animals, the zoo’s colony of hamadryas baboons (Papio cynocephalus hamadryas) was relocated within the zoo to a purpose-designed and more naturalistic exhibit. The primary objective of this investigation was to determine group and individual responses of five of these baboons to their new enclosure. In so doing, this investigation was intended to address the shortage of quantitative, species-specific information on environmental enrichment for Papio baboons (Kessel and Brent 1996). The data collection method used in this investigation consisted of fifteen-minute focal sampling of each of the five focal animals in the two months before and the month following the colony’s relocation. For the purposes of this investigation, these focal samples were initially analysed together, prior to each focal animal being considered independently. Analysis of data extracted from these focal samples included consideration of: • The overall occurrence of individual behaviours between the former and new enclosures; • Additions to the animals’ behavioural repertoires upon relocation; and, • Time the animals spent alone and interacting socially. Upon the colony’s relocation, changes in the combined focal animals’ behaviour were anticipated as a result of greater space, areas of privacy, and increased environmental variation. Focal sampling revealed increasingly naturalistic behaviours, including a reduction in vacuum and vestigial behaviours, and an increase in speciestypical behaviour. Results also indicated that the combined focal animals experienced unexpectedly low levels of “agonistic” (i.e. aggressive) behaviour in both enclosures. However, there was a reduction in some associated behaviours upon the colony’s relocation. This included a decline in male rivalry over females. Differences in the responses of individual focal animals to relocation were also anticipated. Of particular interest were results indicating an increasing similarity of individual roles within one-male units to those of free-ranging hamadryas baboons. These roles were associated with both age and sex. This study raises implications for improving the current management of the Wellington Zoo colony and other captive hamadryas baboon colonies. These include emphasising the importance of appropriate husbandry and feeding schedules. It also raises implications for the future management of other captive Papio baboon colonies in terms of enclosure redesign. These include the benefit of incorporating naturally occurring environmental factors, such as natural leaf litter. This study is also of value from a management perspective as a baseline for future investigations. Such investigations could include long-term monitoring of this colony’s use of environmental enrichment in the new enclosure and consideration of the animals’ behaviour as the colony is encouraged to expand.</p>


2020 ◽  
Author(s):  
Mubanga Kabwe ◽  
Surendra Vikram ◽  
Khodani Mulaudzi ◽  
Janet Jansson ◽  
Thulani Makhalyane

Abstract Background Understanding the structure and drivers of gut microbiota remains a major ecological endeavour. Recent studies have shown that several factors including diet, lifestyle and geography may substantially shape the human gut microbiota. However, most of these studies have focused on the more abundant bacterial component and comparatively less is known regarding fungi in the human gut. This knowledge deficit is especially true for rural and urban African populations. Therefore, we assessed the structure and drivers of rural and urban gut mycobiota. Results Our participants (n=100) were balanced by geography and sex. The mycobiota of these geographically separated cohorts was characterized using amplicon analysis of the Internal Transcribed Spacer (ITS) gene. We further assessed biomarker species specific to rural and urban cohorts. In addition to phyla which have been shown to be ubiquitous constituents of gut microbiota, Pichia were key constituents of the mycobiota. We found that geographic location was a major driver of gut mycobiota. Other factors such as smoking where also determined gut mycobiota albeit to a lower extent, as explained by the small proportion of total variation. Linear discriminant and the linear discriminant analysis effect size analysis revealed several distinct urban and rural biomarkers. Conclusions Together, our analysis reveals distinct community structure in urban and rural South African individuals. Geography was shown to be a key driver of rural and urban gut mycobiota.


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