Figure 1. Digraph showing relationships (edges) between variables (nodes) for the St. Paul community model.
Figure 2. Representation of the Saint Paul community matrix in which blue cells indicate a negative effect of column node on row node, and orange indicate a positive effect. Diagonals in blue indicate that each node in the system is assumed to be self-limiting.
Figure 3. Impact barpot of simulated responses to an decrease in access to halibut CDQ for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 4. Impact barpot of simulated responses to a decrease in halibut bycatch limits for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 5. Mean simulated effect on row variable of positive perturbation of column variable.
Figure 6. Dendrogram showing node similarity across perturbations (Euclidean distance). The more similarly a pair of nodes responds to a press perturbation of any kind, the closer they will be grouped in the dendrogram.
Figure 7. Dendrogram showing perturbation similarity (Euclidean distance). The more similarly a pair of nodes affects all other nodes when perturbed (positively?), the closer they will be grouped in the dendrogram.
Figure 8. Digraph showing relationships (edges) between variables (nodes) for the St. Paul community model.
Figure 9. Representation of the Saint Paul community matrix in which blue cells indicate a negative effect of column node on row node, and orange indicate a positive effect. Diagonals in blue indicate that each node in the system is assumed to be self-limiting.
Figure 10. Impact barpot of simulated responses to an decrease in access to halibut CDQ for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 11. Impact barpot of simulated responses to a decrease in halibut bycatch limits for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 12. Mean simulated effect on row variable of positive perturbation of column variable.
Figure 13. Dendrogram showing node similarity across perturbations (Euclidean distance). The more similarly a pair of nodes responds to a press perturbation of any kind, the closer they will be grouped in the dendrogram.
Figure 14. Dendrogram showing perturbation similarity (Euclidean distance). The more similarly a pair of nodes affects all other nodes when perturbed (positively?), the closer they will be grouped in the dendrogram.
Figure 15. Digraph showing relationships (edges) between variables (nodes) for the St. Paul community model.
Figure 16. Representation of the Saint Paul community matrix in which blue cells indicate a negative effect of column node on row node, and orange indicate a positive effect. Diagonals in blue indicate that each node in the system is assumed to be self-limiting.
Figure 17. Impact barpot of simulated responses to an decrease in access to halibut CDQ for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 18. Impact barpot of simulated responses to a decrease in halibut bycatch limits for St. Paul community model. The proportion of simulated stable (retained) matrices that had a negative response at the node in question is shown in blue, and the proportion of stable matrices in which that node had a positive response is shown in orange.
Figure 19. Mean simulated effect on row variable of positive perturbation of column variable.
Figure 20. Dendrogram showing node similarity across perturbations (Euclidean distance). The more similarly a pair of nodes responds to a press perturbation of any kind, the closer they will be grouped in the dendrogram.
Figure 21. Dendrogram showing perturbation similarity (Euclidean distance). The more similarly a pair of nodes affects all other nodes when perturbed (positively?), the closer they will be grouped in the dendrogram.