1. Published figures arising directly out of FISH554: Beautiful graphics in R

2. Figure 4. (a) Contour plot of LSD (linear selection differential) values, the product of different exploitation rates and length selectivity values (the difference in the average length of fish caught vs. those not caught), of a fishery. LSD values are the difference in length of fish before fishing vs. after fishing (not caught). Actual (b) female and (c) male annual exploitation rates and length selectivity values, along with the resulting LSDs, produced in a total of 283 years by the nine Alaskan sockeye salmon fisheries examined in our study. The grayscale legend refers to these LSD values produced. Background contour lines in panels (b) and (c) show where the product of a fishery’s exploitation rate and length-selectivity value equals a given LSD value.
Created by Neala Kendall as part of the Fall 2011 course.
Kendall NW & Quinn TP (2012) Quantifying and comparing size selectivity among Alaskan sockeye salmon fisheries. Ecological Applications 22:

3. Figure 3 Directional differences between (a) free-flowing and flow-regulated rivers for per cent opportunistic and equilibrium life history strategies and (b) a principal components ordination summarising variation among rivers according to the six major flow metrics. Dam types are coded by line type where solid lines indicate hydropower, dashed lines indicate flood control, and dotted lines indicate locks. Sites are labelled at the base of each arrow, and labels correspond to Fig. 1.
Created by student Meryl Mims as part of the Fall 2011 course.
Mims MC & Olden JD (2013) Fish assemblages respond to altered flow regimes via ecological filtering of life history strategies. Freshwater Biology 58: doi: /fwb.12037

4. Figure 4 Pairwise per cent differences of (a) opportunistic, (b) periodic and (c) equilibrium proportional life history strategies and (d) % nonnative species versus the Flow Alteration Index. Symbols indicate dam type, and symbol fill indicates release type.
Created by student Meryl Mims as part of the Fall 2011 course.
Mims MC & Olden JD (2013) Fish assemblages respond to altered flow regimes via ecological filtering of life history strategies. Freshwater Biology 58: doi: /fwb.12037

5. Figure 1. (a) Map of Wood River basin showing sockeye salmon spawning locations and corresponding average summer water temperature as indicated by dot colour. (b) Relationship between water temperature and sockeye salmon spawning date. (c,d) Cumulative distribution functions (cdf), representing the proportion of the cumulative seasonal activity observed at any site on a specific date, for (c) gulls and (d ) bears at sockeye salmon spawning locations. Colours of lines correspond to water temperatures, and insets show relationship between the mean of the cdf for gulls and bears, and sockeye salmon spawn timing among study sites (see the electronic supplementary material, table S1). 
Created by student Peter Lisi as part of the Fall 2011 course.
Schindler DE et al Rising the crimson tide: mobile terrestrial consumers track phenological variation in spawning of an anadromous fish. Biology Letters 9: doi: /rsbl

6. Figure 6. This figure shows how hole proportion can lower the degree mean of forest landscapes. Loess-smoothed degree means (d) from  simulations are plotted in the top graph with sample landscapes below. The order of the lines in the top graph, from top to bottom, is uniform, cluster, SSI, and lattice. This ordering is consistent throughout the domain, with landscapes generated using the lattice method having noticeably lower degree means than landscapes generated from other point processes. This example uses landscapes generated using each point process exclusively to highlight the differences between them. In practice, landscapes will generally use a mixture of point processes. The shaded filled polygons indicate management units that have been deleted during the editing process.
Created by Gregor Passolt as part of the Fall 2011 course.
Passolt G. et al. (2013) A Voronoi tessellation-based approach to generate hypothetical forest landscapes. Canadian Journal of Forest Research 43: doi: /cjfr

7. Figure 3. Total price flexibilities are calculated as a weighted sum of statistically significant (p ≤ 0.05) individual price flexibilities. Red (green) indicates negative (positive) total price flexibility; colour is scaled to the maximum absolute total flexibility value (Fpollock, pollock = –0.4860). Species are ordered left-to-right/bottom-to-top by FY 2010 revenue importance among multispecies groundfish (southwest corner) and other species.
Created by Andrew Scheld as part of the Fall 2012 course.
Scheld AM & Anderson CM (2014) Market effects of catch share management: the case of New England multispecies groundfish. ICES Journal of Marine Science doi: /icesjms/fsu001

8. Fig. 5. Spatial distributions of days 108C in the surface waters of Lake Superior. The top panel represents the
average of the years 1979–1984 and the bottom panel the years of 2001–2006.
Created by Timothy Cline as part of the Winter 2014 course.
Cline, T. J., J. F. Kitchell, V. Bennington, G. A. McKinley, E. K. Moody, and B. C. Weidel Climate impacts on landlocked sea lamprey: implications for host-parasite interactions and invasive species management. Ecosphere 5(6):68.

9. Fig. 3. Spatial distribution of ln-standardized daily prey fish catch in minnow traps along the lake edge in Peter Lake (manipulated system) between 2008 and Each circular plot is the spatial distribution of catch within an individual year. Each segment of a circle represents an individual trap location located along the lake perimeter. The color scale indicates daily ln-standardized catch. Daily measurements through time at each location proceed along each segment from the perimeter toward the center of the circle. Dashed circles indicate dates of predator additions. As the system approaches the regime shift prey fish catch should become patchier in space and time.
Created by Timothy Cline as part of the Winter 2014 course.
Cline, T. J., D. A. Seekell, S. R. Carpenter, M. L. Pace, J. R. Hodgson, J. F. Kitchell, and B. C. Weidel Early warnings of regime shifts: evaluation of spatial indicators from a whole-ecosystem experiment. Ecosphere 5(8)

10. Fig. 2. Example population trajectories with predation on recruits and lognormal recruitment deviations with a c.v. of 04. Trajectories begin at the grey triangle, grow darker as time progresses, end at the black square and cover one 20-year predator cycle. Dotted line is the equilibrium annual production curve under average predator abundance. MSY is maximum sustainable yield of that curve; BMSY is its associated biomass. Production dynamics were most variable for silver hake and Atlantic menhaden.
Created by Kiva Oken as part of the Winter 2014 course.
Oken, K.L. & Essington, T.E How detectable is predation in stage-structured populations? Insights from a simulation-testing analysis. Journal of Animal Ecology 84:60-70 doi: /