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1دورية أكاديمية
المؤلفون: Vilizzi, L., Copp, G.H., Hill, J.E., Adamovich, B., Aislabie, L., Akin, D., Al-Faisal, A.J., Almeida, D., Azmai, M.N.A., Bakiu, R., Bellati, A., Bernier, R., Bies, J.M., Bilge, G., Branco, P., Bui, T.D., Canning-Clode, J., Cardoso Ramos, H.A., Castellanos-Galindo, G.A., Castro, N., Chaichana, R., Chainho, P., Chan, J., Cunico, A.M., Curd, A., Dangchana, P., Dashinov, D., Davison, P.I., de Camargo, M.P., Dodd, J.A., Durland Donahou, A.L., Edsman, L., Ekmekçi, F.G., Elphinstone-Davis, J., Eros, T., Evangelista, C., Fenwick, G., Ferincz, Á., Ferreira, T., Feunteun, E., Filiz, H., Forneck, S.C., Gajduchenko, H.S., Gama Monteiro, J., Gestoso, I., Giannetto, D., Gilles Jr, A.S., Gizzi, F., Glamuzina, B., Glamuzina, L., Goldsmit, J., Gollasch, S., Goulletquer, P., Grabowska, J., Harmer, R., Haubrock, P.J., He, D., Hean, J.W., Herczeg, G., Howland, K.L., Ilhan, A., Interesova, E., Jakubcinová, K., Jelmert, A., Johnsen, S.I., Kakareko, T., Kanongdate, K., Killi, N., Kim, J.-E., Kirankaya, S.G., Knazovická, D., Kopecký, O., Kostov, V., Koutsikos, N., Kozic, S., Kuljanishvili, T., Kumar, B., Kumar, L., Kurita, Y., Kurtul, I., Lazzaro, L., Lee, L., Lehtiniemi, M., Leonardi, G., Leuven, R.S.E.W., Li, S., Lipinskaya, T., Liu, F., Lloyd, L., Lorenzoni, M., Luna, S.A., Lyons, T.J., Magellan, K., Malmstrøm, M., Marchini, A., Marr, S.M., Masson, G., Masson, L., McKenzie, C.H., Memedemin, D., Mendoza, R., Minchin, D., Miossec, L., Moghaddas, S.D., Moshobane, M.C., Mumladze, L., Naddafi, R., Najafi-Majd, E., Nastase, A., Navodaru, I., Neal, J.W., Nienhuis, S., Nimtim, M., Nolan, E.T., Occhipinti-Ambrogi, A., Ojaveer, H., Olenin, S., Olsson, K., Onikura, N., O'Shaughnessy, K., Paganelli, D., Parretti, P., Patoka, J., Pavia Jr, R.T.B., Pellitteri-Rosa, D., Pelletier-Rousseau, M., Peralta, E.M., Perdikaris, C., Pietraszewski, D., Piria, M., Pitois, S., Pompei, L., Poulet, N., Preda, C., Puntila-Dodd, R., Qashqaei, A.T., Radocaj, T., Rahmani, H., Raj, S., Reeves, D., Ristovska, M., Rizevsky, V., Robertson, D.R., Robertson, P., Ruykys, L., Saba, A.O., Santos, J.M., Sari, H.M., Segurado, P., Semenchenko, V., Senanan, W., Simard, N., Simonovic, P., Skóra, M.E., Slovák Švolíková, K., Smeti, E., Šmídová, T., Špelic, I., Srebaliene, G., Stasolla, G., Stebbing, P., Števove, B., Suresh, V.R., Szajbert, B., Ta, K.A.T., Tarkan, A.S., Tempesti, J., Therriault, T.W., Tidbury, H.J., Top-Karakus, N., Tricarico, E., Troca, D.F.A., Tsiamis, K., Tuckett, Q.M., Tutman, P., Uyan, U., Uzunova, E., Vardakas, L., Velle, G., Verreycken, H., Vintsek, L., Wei, H., Weiperth, A., Weyl, O.L.F., Winter, E.R., Wlodarczyk, R., Wood, L.E., Yang, R., Yapici, S., Yeo, S.S.B., Yogurtçuoglu, B., Yunnie, A.L.E., Zhu, Y., Zieba, G., Žitnanová, K., Clarke, S.
المصدر: %3Ci%3ESci.+Total+Environ.+788%3C%2Fi%3E%3A+147868.+%3Ca+href%3D%22https%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.scitotenv.2021.147868%22+target%3D%22_blank%22%3Ehttps%3A%2F%2Fdx.doi.org%2F10.1016%2Fj.scitotenv.2021.147868%3C%2Fa%3E
الوصف: The threat posed by invasive non-native species worldwide requires a global approach to identify which introduced species are likely to pose an elevated risk of impact to native species and ecosystems. To inform policy, stakeholders and management decisions on global threats to aquatic ecosystems, 195 assessors representing 120 risk assessment areas across all six inhabited continents screened 819 non-native species from 15 groups of aquatic organisms (freshwater, brackish, marine plants and animals) using the Aquatic Species Invasiveness Screening Kit. This multi-lingual decision-support tool for the risk screening of aquatic organisms provides assessors with risk scores for a species under current and future climate change conditions that, following a statistically based calibration, permits the accurate classification of species into high-, medium- and low-risk categories under current and predicted climate conditions. The 1730 screenings undertaken encompassed wide geographical areas (regions, political entities, parts thereof, water bodies, river basins, lake drainage basins, and marine regions), which permitted thresholds to be identified for almost all aquatic organismal groups screened as well as for tropical, temperate and continental climate classes, and for tropical and temperate marine ecoregions. In total, 33 species were identified as posing a ‘very high risk’ of being or becoming invasive, and the scores of several of these species under current climate increased under future climate conditions, primarily due to their wide thermal tolerances. The risk thresholds determined for taxonomic groups and climate zones provide a basis against which area-specific or climate-based calibrated thresholds may be interpreted. In turn, the risk rankings help decision-makers identify which species require an immediate ‘rapid’ management action (e.g. eradication, control) to avoid or mitigate adverse impacts, which require a full risk assessment, and which are to be restricted or banned with regard to importation ...
وصف الملف: application/pdf
العلاقة: info:eu-repo/semantics/altIdentifier/wos/000663799700017; https://www.vliz.be/imisdocs/publications/379423.pdfTest
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2دورية أكاديمية
المؤلفون: Kala, J., Tenna, A.S., Rudloff, D., Andrys, J., Rieke, O., Lyons, T.J.
المصدر: Kala, J. orcid:0000-0001-9338-2965 , Tenna, A.S., Rudloff, D., Andrys, J. , Rieke, O. and Lyons, T.J. (2020) Evaluation of the weather research and forecasting model in simulating fire weather for the south-west of Western Australia. International Journal of Wildland Fire, 29 (9). pp. 779-792.
الوصف: The Weather Research and Forecasting (WRF) model was used to simulate fire weather for the south-west of Western Australia (SWWA) over multiple decades at a 5-km resolution using lateral boundary conditions from the European Centre for Medium-Range Weather Forecasts (ECMWF) Re-Analysis (ERA)-Interim reanalysis. Simulations were compared with observations at Australian Bureau of Meteorology meteorological stations and the McArthur Forest Fire Danger Index (FFDI) was used to quantify fire weather. Results showed that, overall, the WRF reproduced the annual cumulative FFDI at most stations reasonably well, with most biases in the FFDI ranging between –600 and 600. Biases were highest at stations within the metropolitan region. The WRF simulated the geographical gradients in the FFDI across the domain well. The source of errors in the FFDI varied markedly between the different stations, with no one particular variable able to account for the errors at all stations. Overall, this study shows that the WRF is a useful model for simulating fire weather for SWWA, one of the most fire-prone regions in Australia.
العلاقة: https://researchrepository.murdoch.edu.au/id/eprint/56177Test/; full_text_status:none
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3كتاب
المؤلفون: Blaby, I.K., de Crécy-Lagard, V., Lyons, T.J.
المصدر: Comprehensive Biotechnology ; page 292-304
الإتاحة: https://doi.org/10.1016/b978-0-12-809633-8.09021-xTest
https://api.elsevier.com/content/article/PII:B978012809633809021X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:B978012809633809021X?httpAccept=text/plainTest -
4دورية أكاديمية
المؤلفون: Lunt, John, Lyons, T.J, Zhang, T.S
المصدر: Journal of Functional Analysis ; volume 153, issue 2, page 320-342 ; ISSN 0022-1236
مصطلحات موضوعية: Analysis
الإتاحة: https://doi.org/10.1006/jfan.1997.3182Test
https://api.elsevier.com/content/article/PII:S0022123697931827?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0022123697931827?httpAccept=text/plainTest -
5دورية أكاديمية
المؤلفون: Lyons, T.J., Qian, Z.M.
المصدر: Journal of Functional Analysis ; volume 145, issue 1, page 205-223 ; ISSN 0022-1236
مصطلحات موضوعية: Analysis
الإتاحة: https://doi.org/10.1006/jfan.1996.3013Test
https://api.elsevier.com/content/article/PII:S002212369693013X?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S002212369693013X?httpAccept=text/plainTest -
6دورية أكاديمية
المؤلفون: Lyons, T.J., Röckner, M., Zhang, T.S.
المصدر: Stochastic Processes and their Applications ; volume 64, issue 1, page 31-38 ; ISSN 0304-4149
مصطلحات موضوعية: Applied Mathematics, Modeling and Simulation, Statistics and Probability
الإتاحة: https://doi.org/10.1016/s0304-4149Test(96)00078-6
https://api.elsevier.com/content/article/PII:S0304414996000786?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0304414996000786?httpAccept=text/plainTest -
7دورية أكاديمية
المؤلفون: Andrys, J., Kala, J., Lyons, T.J.
المصدر: Andrys, J. , Kala, J. orcid:0000-0001-9338-2965 and Lyons, T.J. (2017) Regional climate projections of mean and extreme climate for the southwest of Western Australia (1970–1999 compared to 2030–2059). Climate Dynamics, 48 (5). pp. 1723-1747.
الوصف: Projections of future climate change (1970–1999 compared to 2030–2059) for southwest Western Australia (SWWA) are analysed for a regional climate model (RCM) ensemble using the Weather Research and Forecasting Model with boundary conditions from three CMIP3 general circulation models (GCMs); CCSM3, CSIROmk3.5 and ECHAM5. We show that the RCM adds value to the GCM and we suggest that this is through improved representation of regional scale topography and enhanced land–atmosphere interactions. Our results show that the mean daytime temperature increase is larger than the nighttime increase, attributed to reduced soil moisture and hence increased surface sensible heat flux in the model, and there is statistically significant evidence that the variance of minimum temperatures will increase. Changes in summer rainfall are uncertain, with some models showing rainfall increases and others projecting reductions. All models show very large fluctuations in summer rainfall intensity which has important implications because of the increased risk of flash flooding and erosion of arable land. There is model consensus indicating a decline in winter rainfall and the spatial distribution of this rainfall decline is influenced by regional scale topography in two of the three simulations. Winter rainfall reduction is consistent with the historical trend of declining rainfall in SWWA, which has been attributed in previous research to a reduction in the number of fronts passing over the region. The continuation of this trend is evident in all models by an increase in winter mean sea level pressure in SWWA, and a reduced number of winter front days. Winter rainfall does not show any marked variations in daily intensity.
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8دورية أكاديمية
المؤلفون: Firth, R., Kala, J., Lyons, T.J., Andrys, J.
المصدر: Firth, R. , Kala, J. orcid:0000-0001-9338-2965 , Lyons, T.J. and Andrys, J. (2017) An analysis of regional climate simulations for Western Australia's wine regions-model evaluation and future climate projections. Journal of Applied Meteorology and Climatology, 56 (7). pp. 2113-2138.
الوصف: The Weather Research and Forecasting (WRF) Model is evaluated as a regional climate model for the simulation of climate indices that are relevant to viticulture in Western Australia's wine regions at a 5-km resolution under current and future climate. WRF is driven with ERA-Interim reanalysis for the current climate and three global climate models (GCMs) for both current and future climate. The focus of the analysis is on a selection of climate indices that are commonly used in climate-viticulture research. Simulations of current climate are evaluated against an observational dataset to quantify model errors over the 1981-2010 period. Changes to the indices under future climate based on the SRES A2 emissions scenario are then assessed through an analysis of future (2030-59) minus present (1970-99) climate. Results show that when WRF is driven with ERA-Interim there is generally good agreement with observations for all of the indices although there is a noticeable negative bias for the simulation of precipitation. The results for the GCM-forced simulations were less consistent. Namely, while the GCM-forced simulations performed reasonably well for the temperature indices, all simulations performed inconsistently for the precipitation index. Climate projections showed significant warming for both of the temperature indices and indicated potential risks to Western Australia's wine growing regions under future climate, particularly in the north. There was disagreement between simulations with regard to the projections of the precipitation indices and hence greater uncertainty as to how these will be characterized under future climate.
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9دورية أكاديمية
المؤلفون: Andrys, J., Lyons, T.J., Kala, J.
المصدر: Andrys, J. , Lyons, T.J. and Kala, J. orcid:0000-0001-9338-2965 (2016) Evaluation of a WRF ensemble using GCM boundary conditions to quantify mean and extreme climate for the southwest of Western Australia (1970-1999). International Journal of Climatology, 36 (13). pp. 4406-4424.
الوصف: A high resolution (5 km), single initialization, 30 year (1970–1999) Weather Research and Forecast regional climate model (RCM) ensemble for southwest Western Australia (SWWA) is evaluated. The article focuses on the ability of the RCM to simulate winter cold fronts, which are the main source of rainfall for the region, and assesses the spatial and temporal characteristics of climate extremes within the region's cereal crop growing season. To explore uncertainty, a four-member ensemble was run, using lateral boundary conditions from general circulation models (GCMs) of the Coupled Model Intercomparison Project Phase 3; ECHAM5, Model for Interdisciplinary Research on Climate 3.2 (MIROC 3.2), Community Climate System Model version 3 (CCSM3) and Commonwealth Scientific and Industrial Research Organisation (CSIRO) mk3.5. Simulations are evaluated against gridded observations of temperature and precipitation and atmospheric conditions are compared to a simulation using ERA-Interim reanalysis boundary conditions, which is used as a surrogate truth. Results show that generally, the RCM simulations were able to represent the climatology of SWWA well, however differences in the positioning of the subtropical high pressure belt were apparent which influenced the number of fronts traversing the region and hence winter precipitation biases. Systematic temperature biases were present in some ensemble members and the RCM was found to be colder than the driving GCM in all simulations. Biases impacted model skill in representing temperature extremes and this was particularly apparent in the MIROC-forced simulation, which was the worst performing RCM for both temperature and precipitation. The dynamical causes of the biases are explored and findings show that nonetheless, the RCM provides added value, particularly in the spatio-temporal representation of wet season rainfall.
العلاقة: https://researchrepository.murdoch.edu.au/id/eprint/29842Test/; full_text_status:public
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10دورية أكاديمية
المؤلفون: Garland, J., Tse, R., Beh, R., Lyons, T.J., Cala, A.D.
المصدر: Pathology ; volume 48, page S94 ; ISSN 0031-3025
مصطلحات موضوعية: Pathology and Forensic Medicine
الإتاحة: https://doi.org/10.1016/j.pathol.2015.12.264Test
https://api.elsevier.com/content/article/PII:S0031302515002913?httpAccept=text/xmlTest
https://api.elsevier.com/content/article/PII:S0031302515002913?httpAccept=text/plainTest
