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Figure 4 in Establishment of an expansion-predicting model for invasive alien cerambycid beetle Aromia bungii based on a virtual ecology approach

Figure 4. (a) Map of occurrence records for A. bungii through 2019. (b–g) Predicted occurrence units based on our models for each habitat variable. The degree of shading reflects the theoretical invasion number predicted by each model.

opencc-by-4.0Dec 2021View details →

Figure 2 in Establishment of an expansion-predicting model for invasive alien cerambycid beetle Aromia bungii based on a virtual ecology approach

Figure 2. Basic structure of the cellular automata model. (A) Two values are associated with each cell: 1) the cell ID "x," a unique ID for each cell, and 2) the expansion probability "ex" indicating four directional vectors into adjacent cells (described below). (B) Values e1, e2, e3, and e4 indicate the probability of dispersion using the path to the top, left, bottom, and right cells, respectively. If the dispersion path value is 1, the insect population in this cell can expand to the adjacent cell.

opencc-by-4.0Oct 2020View details →

Figure 1 in Novel tools and best practices for education about invasive alien species

Figure 1. On the right: Franz Josef Glacier School student recording a European alder (Alnus glutinosa) sapling using the iNat app, New Zealand (Photo: Murray Dawson). On the left: High school students measuring tree diameter in an urban park, Portugal (Photo: Hélia Marchante) and the excavation of Bohemian knotweed (Fallopia bohemica) during a KORINA science camp, Germany (Photo: Katrin Schneider).

opencc-by-4.0Dec 2022View details →

Figure 1 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 1. (a) Coverage of S. altissima and (b) the average number of species per quadrat in the S. altissima-dominant areas or uninvaded areas. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (Student's t-test).

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Figure 2 in Mowing inhibits the invasion of the alien species Solidago altissima and is an effective management strategy

Figure 2. Number of shoots of S. altissima in March 2018 and April 2019. Mowing 1: mowed once in July; Mowing 2: mowed twice in May and September; Mowing 3: mowed three times in May, July, and September; Eco 200: 30% of shoots in the quadrats were cut near the ground, and the cut surfaces were covered with Eco 200 block. Data are presented as means ± standard errors of 14 replicates. Bars with different letters are significantly different at p <0.05 (ANOVA with post hoc Tukey's test).

Figure 3 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 3. (A) Average maximum temperature, (B) Average thermal exposure (area under the curve), of hot water spray applied to Dreissena polymorpha, Dikerogammarus villosus and Crassula helmsii from three distances (10, 20, 30 cm) and for three durations (5, 10, 15 seconds). Error bars show standard error (n = 36).

Figure 4 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 4. The occurrence with data thinned by extraction from subset 1 (A) and subset 2 (B) of occurrence data. The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.

Figure 2 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 2. The model performance (regularized training gain) of the MaxEnt model generated using subset 2 of the occurrence data when the variable in question is omitted or used in isolation, compared to the performance of the model when all variables are used.

Figure 6. The occurrence with data from subset 1 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 6. The occurrence with data from subset 1 (A) and subset 3 (B). The combined output of both is also presented (C). Areas with low uncertainty and above the habitat suitability threshold (i.e. priority areas) are marked in red while areas with high uncertainty are marked in yellow. The grid size of all 3 maps is 1 km2.

Figure 2 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 2. Average temperature of hot water spray treatment applied to Dreissena polymorpha, Dikerogammarus villosus and Crassula helmsii from three distances (10, 20, 30 cm) and for three durations (5, 10, 15 seconds) and control cold water treatment (from 10 cm for 15 seconds). Grey shading shows standard error of average (n = 36).

Figure 1 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 1. Photographs of four invasive alien species utilised in hot water spray effectiveness experiments; a. Dikerogammarus villosus, b. Dreissena polymorpha, c. Crassula helmsii, d. Hydrocotyle ranunculoides. Photographs by Chris Pollock (a, b, c) and Stephanie Bradbeer (d).

Figure 7 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 7. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 3 of occurrence data.

Figure 5 in Modelling hot spot areas for the invasive alien plant Elodea nuttallii in the EU

Figure 5. "Alert areas", i.e. areas with high probability to be invaded by Elodea nuttallii that are at least 100 km away from any known occurrence point of the species, divided by being inside or outside Natura 2000 site, generated using subset 1 and subset 2 of occurrence data.

Figure 4 in The effectiveness of hot water pressurized spray in field conditions to slow the spread of invasive alien species

Figure 4. (A) Average maximum temperature, (B) Average thermal exposure (area under the curve), of hot water spray applied to Crassula helmsii from two distances (10 and 30 cm) for three durations (30, 60, 90 seconds). Error bars show standard error (n = 12), * show statistical significance and letters show treatments statistically the same to another.

Fig. 7 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii

Fig. 7. Dynamics of relative predation (% from existed number of live whitebaits) for all model populations of B. bombina.

Fig. 1 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii

Fig. 1. Overlapping areas of B. bombina and P. glenii distribution in Latvia (Pupina et al. In press).

Fig. 9 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii

Fig. 9. Scheme of the reciprocal predation between B. bombina and its invasive threat P. glenii registered in the study.

Fig. 5 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii

Fig. 5. Number of left live, predated, and died/ killed P. glenii in all experimental groups in total after the experiment.

Fig. 3 in Reciprocal Predation Between Preserved And Invasive Species: Adult Bombina Bombina Predate Young Whitebaits Of Alien Fish Perccottus Glenii

Fig. 3. Dynamics of number of live, predated, and died/killed P. glenii in different B. bombina model populations (Bb-1, Bb-2, Bb-3, and Bb-4).