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Fig. 15. P in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 15. P.sinensis laid eggs after breeding in captivity (Latgales Zoo, shelter for exotic turtles).

Fig.13 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.13. Old adult female of Emys orbicularis from the habitat, where Pelodiscus sinensis #PeSi0003 was found in 2014 (Daugavpils, Latvia) (Photo: 2003).

Fig. 5 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 5. Olaines lake, habitat of the first P.sinensis #PeSi0001 recorded in Latvia (Photo: Drezina, 2008).

Fig. 7 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 7. Orthophoto of habitat of findings of P.sinensis #PeSi0001 in Olaine, Latvia (Google Earth services).

Fig. 14. Received from owners P in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 14. Received from owners P.sinensis breeding in captivity (Latgales Zoo, shelter for exotic turtles).

Fig. 9 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 9. Orthophoto of habitat of findings of P.sinensis #PeSi0003 in Daugavpils, Latvia (Google Earth services).

Fig.12 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.12. Peculiarities of P.sinensis findings waterbodies anthropogenic influence and distance potential for species distribution in Latvia.

Fig.11 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.11. Peculiarities of P.sinensis findings waterbodies water connectivity in Latvia.

Fig.1 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig.1. Placement of the findings of Pelodiscus sinensis in Latvia.

Fig. 4 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 4. Ventral side of the first P.sinensis #PeSi0001 found in Latvia.

Fig. 10 in First Records Of New Aquatic Predator Pelodiscus Sinensis (Wiegmann 1835) In Latvia And Preliminary Ecological Risk Assessment Of The Invasion For Autochthonic Emys Orbicularis (Linnaeus 1758)

Fig. 10. Peculiarities of P.sinensis findings waterbodies size in Latvia.

opencc-zeroOct 2018View details →

zenodo32/100

Supplementary material 2 from: Dickey JWE, Cuthbert RN, Rea M, Laverty C, Crane K, South J, Briski E, Chang X, Coughlan NE, MacIsaac HJ, Ricciardi A, Riddell GE, Xu M, Dick JTA (2018) Assessing the relative potential ecological impacts and invasion risks of emerging and future invasive alien species. NeoBiota 40: 1-24. https://doi.org/10.3897/neobiota.40.28519

Table S2. Summary of the GB online survey outlining which of the four species of turtle was being sold :

opencc-zeroMar 2024View details →

Supplementary material 1 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

QRA simulator

Figure 6 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 6 The relative batch risk (with respect to a baseline risk value) is plotted as a function of the initial STEC (main pathogenic serotypes MPS-STEC) concentration (CFU/ml).

Figure 5 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 5 Batch rejection probability as a function of the initial STEC (main pathogenic serotypes MPS-STEC) concentration (CFU/ml).

Figure 4 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 4 Evolution of STEC colony size during draining, salting and ripening of cheese fabrication. The decline rate for the MPS O157:H7 strain and non-MPS strains are equal (orange line) and significantly higher than the decline rate of MPS non-O157:H7 strain (red line). The three phases, namely, draining, salting and ripening are separated by vertical blue dotted lines.

Figure 3 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 3 Evolution of STEC (main pathogenic serotypes MPS-STEC) in log10 CFU/ml during the storage and moulding step. The blue vertical line shows the end of the storage phase.

Figure 2 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 2 Histogram of STEC (main pathogenic serotypes MPS-STEC) concentration (log10 (CFU/ml)) in milk put into production.

Figure 1 from: Basak S, Christy J, Guillier L, Audiat-Perrin F, Sanaa M, Tenenhaus-Aziza F, Bect J, Vazquez E (2024) Quantitative risk assessment of Haemolytic and Uremic Syndrome (HUS) from consumption of raw milk soft cheese. Food and Ecological Systems Modelling Journal 5: e109502. https://doi.org/10.3897/fmj.5.109502

Figure 1 Schematic diagram of the batch level simulator of the risk assessment model. Modules are denoted by pink coloured boxes with the blue boxes denoting the set of corresponding input parameters \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} \theta = \{\theta^{\rm farm}, \theta^{\rm cheese}, \theta^{\rm con}, \theta^{\rm post}\} \end{equation*} \end{varwidth} \end{document} and the orange boxes denoting the outputs, namely, milk loss per batch \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} M^{\rm batch} \end{equation*} \end{varwidth} \end{document} , probability of rejecting a particular batch \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} P^{\rm batch} \end{equation*} \end{varwidth} \end{document} and batch risk \documentclass[12pt]{standalone} \usepackage{varwidth} \usepackage[utf8x]{inputenc} \usepackage[T1]{fontenc} \usepackage{lmodern} \usepackage{amsmath, amssymb, graphics, setspace} \newcommand{\mathsym}[1]{{}} \newcommand{\unicode}[1]{{}} \newcounter{mathematicapage} \begin{document} \begin{varwidth}{50in} \begin{equation*} R^{\rm batch} \end{equation*} \end{varwidth} \end{document} .