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Institution

University of Mpumalanga

EducationNelspruit, South Africa
About: University of Mpumalanga is a education organization based out in Nelspruit, South Africa. It is known for research contribution in the topics: Population & Government. The organization has 123 authors who have published 307 publications receiving 1321 citations.

Papers published on a yearly basis

Papers
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Journal ArticleDOI
TL;DR: The findings of this study suggest that Arthrobacter arilaitensis and Streptomyces pseudovenezuelae are important tools capable of being developed into bio-inoculants to effectively improve drought tolerance in plants.
Abstract: Drought is a major cause of the present decrease in crop yield and agricultural productivity around the globe. The disastrous effects of drought on plants call for a renewed concern on effective st...

87 citations

Journal ArticleDOI
TL;DR: In this paper, the authors discuss six interrelated issues that currently undermine the reliability of the available literature on the ecological roles of large carnivores: (1) the overall paucity of available data, (2) reliability of carnivore population sampling techniques, (3) general disregard for alternative hypotheses to top-down forcing, (4) lack of applied science studies, (5) frequent use of logical fallacies, and (6) generalisation of results from relatively pristine systems to those substantially altered by humans.

63 citations

Journal ArticleDOI
TL;DR: The main contribution of this study is that it provides an enhanced summary of the current state-of-the-art of LPWAN suitable to meet the requirements of IoT, while uniquely providingLPWAN’s modelling techniques, performance metrics and their associated enablers.
Abstract: We are on the entry of the exponential advancement of the internet-of-things (IoT) due to the quick development of internet-connected smart-objects. As the number of connected smart-objects increase, IoT will continue to advance by providing connectivity and interactions between the physical and the cyber world. This connectivity is characterized by low throughput, delay sensitivity, small and wide coverage, low power consumption, low device, etc. Which explains the emergence of low power wide area network (LPWAN). LPWAN technologies are an alternative promising connectivity solutions for Internet of Things. However, the lack of an overall LPWAN knowledge that present a comprehensive analysis of LPWAN technologies is presently constraining the achievement of the modern IoT vision. In this paper, we begin with a detailed analysis of the conventional high power long-range network technologies that considers IoT applications and requirements. We further point out the need for dedicated low power wide area technologies in IoT systems. In addition, we analyse the technical specification based on the PHY and MAC layers of the technologies that are already deployed, or likely to be deployed. The focus is to incorporate both standard and proprietary technologies in our study. Furthermore, we present the modelling techniques and performance metrics that are adopted in LPWAN networks analysis. Finally, challenges and open problems are presented. The main contribution of this study is that it provides an enhanced summary of the current state-of-the-art of LPWAN suitable to meet the requirements of IoT, while uniquely providing LPWAN’s modelling techniques, performance metrics and their associated enablers.

60 citations

Journal ArticleDOI
Maarten P. G. Hofman1, Maarten P. G. Hofman2, Matt W. Hayward2, Matt W. Hayward3, Morten Heim, Pascal Marchand4, Christer Moe Rolandsen, Jenny Mattisson, Ferdinando Urbano, Marco Heurich5, Marco Heurich6, Atle Mysterud7, Jörg Melzheimer8, Nicolas Morellet9, Ulrich Voigt10, Benjamin L. Allen11, Benedikt Gehr12, Benedikt Gehr13, Carlos Rouco14, Carlos Rouco15, Wiebke Ullmann16, Øystein Holand17, N. H. Jorgensen17, Geir Steinheim17, Francesca Cagnacci, Max Kroeschel5, Max Kroeschel18, Petra Kaczensky10, Bayarbaatar Buuveibaatar19, John C. Payne19, I. Palmegiani8, Klemen Jerina20, P. Kjellander, Örjan Johansson, Scott D. LaPoint21, Scott D. LaPoint22, Rana Bayrakcismith23, John D. C. Linnell, Marco Zaccaroni24, Maria Luisa S. P. Jorge25, Júlia Emi de Faria Oshima26, Anna Songhurst27, Anna Songhurst28, Claude Fischer29, R. T. Mc Bride Jr., Jeffrey J. Thompson, S. Streif18, Robin Sandfort30, Christophe Bonenfant12, Christophe Bonenfant31, Marine Drouilly32, Matthias Klapproth33, Dietmar Zinner33, Richard W. Yarnell34, Amanda Stronza28, L. Wilmott35, Erling L. Meisingset, Maria Thaker36, Abi Tamim Vanak37, Abi Tamim Vanak38, Sandro Nicoloso, R. Graeber10, Sonia Saïd, M. R. Boudreau39, Allison L. Devlin40, Allison L. Devlin23, Rafael Hoogesteijn23, J. A. May-Junior41, J. A. May-Junior23, James C. Nifong42, John Odden, Howard Quigley23, Fernando R. Tortato23, Daniel M. Parker43, Daniel M. Parker44, A. Caso, J. Perrine45, Cintia Gisele Tellaeche46, Filip Zięba, Tomasz Zwijacz-Kozica, Cara L. Appel47, I. Axsom47, William T. Bean47, Bogdan Cristescu32, Stéphanie Périquet31, Stéphanie Périquet12, Kristine J. Teichman48, Sarah M. Karpanty49, A Licoppe, Vera Menges8, K. Black49, Thomas Scheppers50, Stéphanie C. Schai-Braun30, Fernanda Cavalcanti de Azevedo51, Frederico Gemesio Lemos51, A. Payne, Lourens H. Swanepoel52, Byron V. Weckworth23, Anne Berger8, Alessandra Bertassoni, Graham McCulloch27, Graham McCulloch28, Pavel Sustr, Vidya Athreya19, D. Bockmuhl8, Jim Casaer50, A. Ekori53, Dime Melovski1, Cécile Richard-Hansen54, D. B. van de Vyver43, Rafael Reyna-Hurtado, Emmanuelle Robardet55, Nuria Selva56, Agnieszka Sergiel56, Mohammad S. Farhadinia27, Peter Sunde57, R. Portas8, Hüseyin Ambarlı58, Rachel Berzins, Peter M. Kappeler33, Peter M. Kappeler1, Gareth K. H. Mann43, Gareth K. H. Mann23, Lennart W. Pyritz33, Lennart W. Pyritz1, Charlene Bissett43, T. Grant43, R. Steinmetz, Larissa Swedell32, Larissa Swedell59, Rebecca J. Welch43, Rebecca J. Welch44, Dolors Armenteras60, Owen R. Bidder61, Tania Marisol González60, Adam E. Rosenblatt62, Shannon Kachel23, Shannon Kachel63, Niko Balkenhol1 
University of Göttingen1, Bangor University2, Nelson Mandela Metropolitan University3, University of Savoy4, University of Freiburg5, Bavarian Forest National Park6, University of Oslo7, Leibniz Association8, University of Toulouse9, University of Veterinary Medicine Vienna10, University of Southern Queensland11, Centre national de la recherche scientifique12, University of Zurich13, University of Córdoba (Spain)14, Landcare Research15, University of Potsdam16, Norwegian University of Life Sciences17, Forest Research Institute18, Wildlife Conservation Society19, University of Ljubljana20, Max Planck Society21, Lamont–Doherty Earth Observatory22, Panthera Corporation23, University of Florence24, Vanderbilt University25, Sao Paulo State University26, University of Oxford27, Texas A&M University28, École Normale Supérieure29, University of Natural Resources and Life Sciences, Vienna30, Claude Bernard University Lyon 131, University of Cape Town32, German Primate Center33, Nottingham Trent University34, University of Wollongong35, Indian Institute of Science36, Wellcome Trust37, University of KwaZulu-Natal38, Trent University39, State University of New York at Purchase40, Universidade Federal de Santa Catarina41, Engineer Research and Development Center42, Rhodes University43, University of Mpumalanga44, California Polytechnic State University45, National University of Jujuy46, Humboldt State University47, University of British Columbia48, Virginia Tech49, Research Institute for Nature and Forest50, Universidade Federal de Goiás51, University of Venda52, University of Applied Sciences Western Switzerland53, University of the French West Indies and Guiana54, ANSES55, Polish Academy of Sciences56, Aarhus University57, Düzce University58, Queens College59, National University of Colombia60, University of California, Berkeley61, University of North Florida62, University of Washington63
09 May 2019-PLOS ONE
TL;DR: This study shows that the performance of satellite telemetry applications has shown improvements over time, and based on the findings, it provides further recommendations for both users and manufacturers.
Abstract: Satellite telemetry is an increasingly utilized technology in wildlife research, and current devices can track individual animal movements at unprecedented spatial and temporal resolutions. However, as we enter the golden age of satellite telemetry, we need an in-depth understanding of the main technological, species-specific and environmental factors that determine the success and failure of satellite tracking devices across species and habitats. Here, we assess the relative influence of such factors on the ability of satellite telemetry units to provide the expected amount and quality of data by analyzing data from over 3,000 devices deployed on 62 terrestrial species in 167 projects worldwide. We evaluate the success rate in obtaining GPS fixes as well as in transferring these fixes to the user and we evaluate failure rates. Average fix success and data transfer rates were high and were generally better predicted by species and unit characteristics, while environmental characteristics influenced the variability of performance. However, 48% of the unit deployments ended prematurely, half of them due to technical failure. Nonetheless, this study shows that the performance of satellite telemetry applications has shown improvements over time, and based on our findings, we provide further recommendations for both users and manufacturers.

54 citations

Journal ArticleDOI
TL;DR: In this paper, a geoscience approach for mapping high-precision GWPZs peculiar to the semi-arid area, using Buffalo catchment, Eastern Cape, South Africa, as a case study, was presented.
Abstract: Theme unsuitability is noted to have inhibited the accuracy of groundwater potential zones (GWPZs) mapping approach, especially in a semi-arid environment where surface water supply is inadequate. This work, therefore presents a geoscience approach for mapping high-precision GWPZs peculiar to the semi-arid area, using Buffalo catchment, Eastern Cape, South Africa, as a case study. Maps of surficial-lithology, lineament-density, drainage-density, rainfall-distribution, normalized-difference-vegetation-index, topographic-wetness-index, land use/land cover, and land-surface-temperature were produced. These were overlaid based on analytical hierarchical process weightage prioritization at a constituency ratio of 0.087. The model categorizes GWPZs into the good (187 km2), moderate (338 km2), fair (406 km2), poor (185 km2), and very poor (121 km2) zones. The model validation using borehole yield through on the coefficient of determination (R2 = 0.901) and correlation (R = 0.949) indicates a significant replication of ground situation (p value < 0.001). The analysis corroboration shows that the groundwater is mainly hosted by a fractured aquifer where the GWPZs is either good (9.3 l/s) or moderate (5.5 l/s). The overall result indicates that the model approach is reliable and can be adopted for a reliable characterization of GWPZs in any semi-arid/arid environment.

53 citations


Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20234
202214
202197
202059
201979
201830