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  • 1
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    Vulnerability of Cape Fold Ecoregion freshwater fishes to climate change and other human impacts
    Wiley ; 2018
    In:  Aquatic Conservation: Marine and Freshwater Ecosystems Vol. 28, No. 1 ( 2018-02), p. 68-77
    Details
    In: Aquatic Conservation: Marine and Freshwater Ecosystems, Wiley, Vol. 28, No. 1 ( 2018-02), p. 68-77
    Abstract: Native freshwater fish populations throughout South Africa's Cape Fold Ecoregion (CFE) are in decline as a result of human impacts on aquatic habitats, including the introduction of non‐native freshwater fishes. Climate change may be further accelerating declines of many species, although this has not yet been studied in the CFE. This situation presents a major conservation challenge that requires assigning management priorities through assessing species in terms of their vulnerability to climate change. One factor hindering reliable vulnerability assessments and the concurrent development of effective conservation strategies is limited knowledge of the biology and population status of many species. This paper reports on a study employing a rapid assessment method used in the USA, designed to capitalize on available expert knowledge to supplement existing empirical data, to determine the relative vulnerabilities of different species to climate change and other human impacts. Eight local freshwater fish experts conducted vulnerability assessments on 20 native and 17 non‐native freshwater fish species present in the CFE. Results show (1) that native species were generally classified as being more vulnerable to extinction than were non‐native species, (2) that the climate change impacts are expected to increase the vulnerability of most native, and some non‐native, species, (3) that vulnerability hotspots requiring urgent conservation attention occur in the Olifants‐Doring, upper Berg and upper Breede River catchments in the south west of the region, (4) that in addition to providing guidance for prioritizing management interventions, this study highlights the need for reliable data on the biology and distribution of many CFE freshwater fishes, and (5) that identification of priority areas for protection should be based on multiple sources of data.
    Type of Medium: Online Resource
    ISSN: 1052-7613 , 1099-0755
    URL: Issue
    URL: Article
    DOI: 10.1002/aqc.v28.1
    DOI: 10.1002/aqc.2849
    Language: English
    Publisher: Wiley
    Publication Date: 2018
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  • 2
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    DataSheet1.XLSX
    Frontiers Media SA ; 2023
    In:  Frontiers in Environmental Science Vol. 11 ( 2023-3-22)
    Details
    In: Frontiers in Environmental Science, Frontiers Media SA, Vol. 11 ( 2023-3-22)
    Abstract: In South Africa, anthropogenic pressures such as water over-abstraction, invasive species impacts, land-use change, pollution, and climate change have caused widespread deterioration of the health of river ecosystems. This comes at great cost to both people and biodiversity, with freshwater fishes ranked as the country’s most threatened species group. Effective conservation and management of South Africa’s freshwater ecosystems requires access to reliable and comprehensive biodiversity data. Despite the existence of a wealth of freshwater biodiversity data, access to these data has been limited. The Freshwater Biodiversity Information System (FBIS) was built to address this knowledge gap by developing an intuitive, accessible and reliable platform for freshwater biodiversity data in South Africa. The FBIS hosts high quality, high accuracy biodiversity data that are freely available to a wide range of stakeholders, including researchers, conservation practitioners and policymakers. We describe how the system is being used to provide freshwater fish data to a national conservation decision-support tool—The Department of Forestry, Fisheries, and the Environment (DFFE) National Environmental Screening Tool (NEST). The NEST uses empirical and modelled biodiversity data to guide Environmental Impact Assessment Practitioners in conducting environmental assessments of proposed developments. Occurrence records for 34 threatened freshwater fishes occurring in South Africa were extracted from the FBIS and verified by taxon specialists, resulting in 6 660 records being used to generate modelled and empirical national distribution (or sensitivity) layers. This represents the first inclusion of freshwater biodiversity data in the NEST, and future iterations of the tool will incorporate additional freshwater taxa. This case study demonstrates how the FBIS fills a pivotal role in the data-to-decision pipeline through supporting data-driven conservation and management decisions at a national level.
    Type of Medium: Online Resource
    ISSN: 2296-665X
    URL: Article
    URL: Article
    DOI: 10.3389/fenvs.2023.1122223
    DOI: 10.3389/fenvs.2023.1122223.s001
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2023
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  • 3
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    Rapid population decline in one of the last recruiting populations of the endangered Clanwilliam sandfish ( Labeo seeberi ): The roles of climate change and non‐native fish
    Wiley ; 2022
    In:  Aquatic Conservation: Marine and Freshwater Ecosystems Vol. 32, No. 5 ( 2022-05), p. 781-796
    Details
    In: Aquatic Conservation: Marine and Freshwater Ecosystems, Wiley, Vol. 32, No. 5 ( 2022-05), p. 781-796
    Abstract: Freshwater fish are in decline worldwide as a result of introduced non‐native species, impoundment, water quality changes, over‐abstraction, and climate change. The Clanwilliam sandfish Labeo seeberi is an endangered migratory cyprinid endemic to a single river system in South Africa's Cape Fold Ecoregion. It has declined across its range and persists as fragmented populations in the Doring River system. One of the last recruiting populations occurs in the Oorlogskloof River, where three non‐native fish species are present: smallmouth bass Micropterus dolomieu , bluegill sunfish Lepomis macrochirus (both alien and invasive), and banded tilapia Tilapia sparrmanii (extralimital). Impacts of these non‐natives, together with climate change, may pose a serious threat to this important sandfish population and to other cohabiting native fish species. A 6 year data set, collected over 9 years and spanning 25 km of the Oorlogskloof River, was analysed to characterize spatio‐temporal variation in sandfish abundance and size structure and to evaluate the relative impacts of biotic and abiotic factors on population trends. Sandfish experienced a 92.6% decline in relative abundance from 2013 to 2018, driven by a 99.6% decline in young‐of‐the‐year individuals. A combination of extreme rainfall events and drought appear to have played a key role in the decline and subsequently prevented recovery. Small sandfish (≤200 mm) were almost entirely absent from the centrarchid‐invaded section of the Oorlogskloof but were relatively abundant where these centrarchids were absent, suggesting a strong adverse impact of these non‐native species. Banded tilapia co‐occurred with sandfish without any apparent adverse impacts on the relative abundance or size structure of sandfish. Improved water resource management and preventing the further spread of non‐natives must be conservation priorities. Localized eradication of non‐native species must also be considered to reclaim habitat and restore connectivity. Translocations may be required to prevent species extinctions.
    Type of Medium: Online Resource
    ISSN: 1052-7613 , 1099-0755
    URL: Issue
    URL: Article
    DOI: 10.1002/aqc.v32.5
    DOI: 10.1002/aqc.3785
    Language: English
    Publisher: Wiley
    Publication Date: 2022
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  • 4
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    Temperature mediates the impact of non-native rainbow trout on native freshwater fishes in South Africa’s Cape Fold Ecoregion
    Springer Science and Business Media LLC ; 2018
    In:  Biological Invasions Vol. 20, No. 10 ( 2018-10), p. 2927-2944
    Details
    In: Biological Invasions, Springer Science and Business Media LLC, Vol. 20, No. 10 ( 2018-10), p. 2927-2944
    Type of Medium: Online Resource
    ISSN: 1387-3547 , 1573-1464
    URL: Article
    DOI: 10.1007/s10530-018-1747-7
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2018
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  • 5
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    Using a head‐start conservation intervention to boost spawning numbers of the endangered Clanwilliam sandfish
    Wiley ; 2024
    In:  Conservation Science and Practice Vol. 6, No. 1 ( 2024-01)
    Details
    In: Conservation Science and Practice, Wiley, Vol. 6, No. 1 ( 2024-01)
    Abstract: Freshwater ecosystems are the most threatened on Earth, with many species facing extinction. The Clanwilliam sandfish ( Labeo seeberi ) is South Africa's most threatened migratory freshwater fish and is endemic to the Olifants–Doring River system in the Cape Fold Ecoregion. Non‐native fish predation and river desiccation have caused a recruitment bottleneck, severely compromising juvenile survival and resulting in a declining population of aging sandfish. The Saving Sandfish Project launched an emergency head‐start intervention in 2020 to reduce extinction risk. We (1) rescued juvenile sandfish from drying pools in a key spawning tributary (the Biedouw River); (2) relocated them to 6 off‐stream reservoirs; and (3) released reservoir‐reared sandfish back into their natal river once large enough to evade non‐native fish predation. Here, we estimate survival in the reservoir environment, evaluate return rates relative to wild run size, and assess the probability of return based on conditions at release. Between 2020 and 2022, we stocked 33,391 juvenile sandfish into the 6 reservoirs. After 1 year, the estimated survival rate at one reservoir was 0.679 (range based on 95% CI: 0.385–0.973). Release and return results are presented only for the first (2020) rescue cohort. In 2021, we released 1277 sandfish from 2 reservoirs into the Biedouw River, comprising 16.6% of the 2020 rescue cohort. Mean size at release was 169 mm (SE 0.6) total length. Of those released, 994 were PIT‐tagged. A total of 77 PIT‐tagged sandfish were recorded during the 2022 spawning migration—a return rate of 7.7% of tagged releases in the first year of returns. Size of fish and distance from the Doring River at release were significant predictors of return probability, with larger fish released further from the Doring experiencing a higher probability of return. This program serves as a model for the conservation of freshwater fish where there is an imminent and high risk of extinction.
    Type of Medium: Online Resource
    ISSN: 2578-4854 , 2578-4854
    URL: Issue
    URL: Article
    DOI: 10.1111/csp2.v6.1
    DOI: 10.1111/csp2.13065
    Language: English
    Publisher: Wiley
    Publication Date: 2024
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  • 6
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    Identifying priority areas for surface water protection in data scarce regions: An integrated spatial analysis for Zambia
    Wiley ; 2021
    In:  Aquatic Conservation: Marine and Freshwater Ecosystems Vol. 31, No. 8 ( 2021-08), p. 1998-2016
    Details
    In: Aquatic Conservation: Marine and Freshwater Ecosystems, Wiley, Vol. 31, No. 8 ( 2021-08), p. 1998-2016
    Abstract: This study aimed to develop an integrated analytical framework to identify candidate sites for surface water protection that is applicable at broad scales and in data scarce regions, using Zambia as a case study. In the Zambian Water Resources Management Act of 2011, Water Resource Protection Areas are defined as areas where special measures are necessary for the protection of a catchment, sub‐catchment, aquifer, or geographical area. Three specific selection criteria are listed for the definition of Water Resource Protection Areas: (i) areas of high importance in providing water to users in a catchment; (ii) aquatic areas of high ecological importance; and (iii) areas that are particularly sensitive to human impact. In this project, each sub‐catchment and river reach of Zambia was characterized for their importance regarding these three criteria. ‘Water provisioning’ was assessed by analysing patterns of runoff generation and human water use; ‘aquatic ecological importance’ was determined by conducting a freshwater biodiversity and ecosystem assessment using a systematic conservation planning approach; and ‘sensitive areas’ were identified by quantifying erosion potential and sediment transport. The work was supported by an assessment of free‐flowing rivers in Zambia, i.e., those rivers where aquatic ecosystem functions and services are largely unaffected by changes to fluvial connectivity through dams and other infrastructure. Highly ranked sub‐catchments were found in the Liuwa, Barotse, and Bangweulu floodplains and wetlands, and in the headwater regions of the upper Zambezi, Kafue, Chambeshi/Luapula, and Tanganyika catchments. The Luangwa was identified as the highest ranked candidate river for protection within Zambia. The resulting maps, data, and methods are intended to support national‐scale efforts to prioritize areas for surface water protection, identify catchments and rivers with high conservation value, optimize decision making for infrastructure development, and inform concerted strategies to maintain and restore freshwater ecosystem services in Zambia.
    Type of Medium: Online Resource
    ISSN: 1052-7613 , 1099-0755
    URL: Issue
    URL: Article
    DOI: 10.1002/aqc.v31.8
    DOI: 10.1002/aqc.3606
    Language: English
    Publisher: Wiley
    Publication Date: 2021
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  • 7
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    POSTER SESSIONS SCHEDULE
    Oxford University Press (OUP) ; 2013
    In:  Archives of Clinical Neuropsychology Vol. 28, No. 6 ( 2013-09-01), p. 518-626
    Details
    In: Archives of Clinical Neuropsychology, Oxford University Press (OUP), Vol. 28, No. 6 ( 2013-09-01), p. 518-626
    Type of Medium: Online Resource
    ISSN: 0887-6177 , 1873-5843
    URL: Article
    DOI: 10.1093/arclin/act054
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2013
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    SSG: 5,2
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  • 8
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    A Type 1 Diabetes Genetic Risk Score Predicts Progression of Islet Autoimmunity and Development of Type 1 Diabetes in Individuals at Risk
    American Diabetes Association ; 2018
    In:  Diabetes Care Vol. 41, No. 9 ( 2018-09-01), p. 1887-1894
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 41, No. 9 ( 2018-09-01), p. 1887-1894
    Abstract: We tested the ability of a type 1 diabetes (T1D) genetic risk score (GRS) to predict progression of islet autoimmunity and T1D in at-risk individuals. RESEARCH DESIGN AND METHODS We studied the 1,244 TrialNet Pathway to Prevention study participants (T1D patients’ relatives without diabetes and with one or more positive autoantibodies) who were genotyped with Illumina ImmunoChip (median [range] age at initial autoantibody determination 11.1 years [1.2–51.8], 48% male, 80.5% non-Hispanic white, median follow-up 5.4 years). Of 291 participants with a single positive autoantibody at screening, 157 converted to multiple autoantibody positivity and 55 developed diabetes. Of 953 participants with multiple positive autoantibodies at screening, 419 developed diabetes. We calculated the T1D GRS from 30 T1D-associated single nucleotide polymorphisms. We used multivariable Cox regression models, time-dependent receiver operating characteristic curves, and area under the curve (AUC) measures to evaluate prognostic utility of T1D GRS, age, sex, Diabetes Prevention Trial–Type 1 (DPT-1) Risk Score, positive autoantibody number or type, HLA DR3/DR4-DQ8 status, and race/ethnicity. We used recursive partitioning analyses to identify cut points in continuous variables. RESULTS Higher T1D GRS significantly increased the rate of progression to T1D adjusting for DPT-1 Risk Score, age, number of positive autoantibodies, sex, and ethnicity (hazard ratio [HR] 1.29 for a 0.05 increase, 95% CI 1.06–1.6; P = 0.011). Progression to T1D was best predicted by a combined model with GRS, number of positive autoantibodies, DPT-1 Risk Score, and age (7-year time-integrated AUC = 0.79, 5-year AUC = 0.73). Higher GRS was significantly associated with increased progression rate from single to multiple positive autoantibodies after adjusting for age, autoantibody type, ethnicity, and sex (HR 2.27 for GRS & gt;0.295, 95% CI 1.47–3.51; P = 0.0002). CONCLUSIONS The T1D GRS independently predicts progression to T1D and improves prediction along T1D stages in autoantibody-positive relatives.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc18-0087
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2018
    detail.hit.zdb_id: 1490520-6
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  • 9
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    Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes
    American Diabetes Association ; 2019
    In:  Diabetes Care Vol. 42, No. 2 ( 2019-02-01), p. 192-199
    Details
    In: Diabetes Care, American Diabetes Association, Vol. 42, No. 2 ( 2019-02-01), p. 192-199
    Abstract: There are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND METHODS Subjects from the TrialNet Pathway to Prevention Study (N = 48,026) were screened from 2004 to 2015 for islet autoantibodies (GAD antibody [GADA], insulinoma-associated antigen 2 [IA-2A] , and autoantibodies against insulin [IAA]). Of these subjects, 17,226 (157 identical twins, 283 nonidentical twins, and 16,786 full siblings) were followed for autoantibody positivity or type 1 diabetes for a median of 2.1 years. RESULTS At screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all P & lt; 0.0001). Younger age, male sex, and genetic factors were significant factors for expression of IA-2A, IAA, one or more positive autoantibodies, and two or more positive autoantibodies (all P ≤ 0.03). Initially autoantibody-positive identical twins had a 69% risk of diabetes by 3 years compared with 1.5% for initially autoantibody-negative identical twins. In nonidentical twins, type 1 diabetes risk by 3 years was 72% for initially multiple autoantibody–positive, 13% for single autoantibody–positive, and 0% for initially autoantibody-negative nonidentical twins. Full siblings had a 3-year type 1 diabetes risk of 47% for multiple autoantibody–positive, 12% for single autoantibody–positive, and 0.5% for initially autoantibody-negative subjects. CONCLUSIONS Risk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody–positive identical twins and multiple autoantibody–positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.
    Type of Medium: Online Resource
    ISSN: 0149-5992 , 1935-5548
    URL: Article
    DOI: 10.2337/dc18-0288
    Language: English
    Publisher: American Diabetes Association
    Publication Date: 2019
    detail.hit.zdb_id: 1490520-6
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  • 10
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    Mapping the human genetic architecture of COVID-19
    Springer Science and Business Media LLC ; 2021
    In:  Nature Vol. 600, No. 7889 ( 2021-12-16), p. 472-477
    Details
    In: Nature, Springer Science and Business Media LLC, Vol. 600, No. 7889 ( 2021-12-16), p. 472-477
    Abstract: The genetic make-up of an individual contributes to the susceptibility and response to viral infection. Although environmental, clinical and social factors have a role in the chance of exposure to SARS-CoV-2 and the severity of COVID-19 1,2 , host genetics may also be important. Identifying host-specific genetic factors may reveal biological mechanisms of therapeutic relevance and clarify causal relationships of modifiable environmental risk factors for SARS-CoV-2 infection and outcomes. We formed a global network of researchers to investigate the role of human genetics in SARS-CoV-2 infection and COVID-19 severity. Here we describe the results of three genome-wide association meta-analyses that consist of up to 49,562 patients with COVID-19 from 46 studies across 19 countries. We report 13 genome-wide significant loci that are associated with SARS-CoV-2 infection or severe manifestations of COVID-19. Several of these loci correspond to previously documented associations to lung or autoimmune and inflammatory diseases 3–7 . They also represent potentially actionable mechanisms in response to infection. Mendelian randomization analyses support a causal role for smoking and body-mass index for severe COVID-19 although not for type II diabetes. The identification of novel host genetic factors associated with COVID-19 was made possible by the community of human genetics researchers coming together to prioritize the sharing of data, results, resources and analytical frameworks. This working model of international collaboration underscores what is possible for future genetic discoveries in emerging pandemics, or indeed for any complex human disease.
    Type of Medium: Online Resource
    ISSN: 0028-0836 , 1476-4687
    URL: Article
    DOI: 10.1038/s41586-021-03767-x
    RVK:
    TA 1000
    RVK:
    UA 1000
    RVK:
    WA 15000
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
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