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Figure 1 Study area in Northern Wisconsin, USA, where we simulated the dispersal of 15 translocated American martens ... Figure 1 Study area in Northern.

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Presentation on theme: "Figure 1 Study area in Northern Wisconsin, USA, where we simulated the dispersal of 15 translocated American martens ... Figure 1 Study area in Northern."— Presentation transcript:

1 Figure 1 Study area in Northern Wisconsin, USA, where we simulated the dispersal of 15 translocated American martens ... Figure 1 Study area in Northern Wisconsin, USA, where we simulated the dispersal of 15 translocated American martens in 2010. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Behav Ecol, Volume 30, Issue 2, 12 January 2019, Pages 528–540, The content of this slide may be subject to copyright: please see the slide notes for details.

2 Figure 2 Examples of alternative rules used for habitat suitability in SEARCH modeling of American marten dispersal in ... Figure 2 Examples of alternative rules used for habitat suitability in SEARCH modeling of American marten dispersal in Northern Wisconsin. Panels illustrate the dynamic progression of habitat selectivity over time from the 70% (a), to the 60% (b), and to the 50% (c) threshold rules. Percentages represent the proportion of an area around a pixel in the cover type data that must be represented by nonavoided cover types to be classified as suitable. Therefore, as the percentage decreases over time, martens perceive an increasing proportion of the landscape as suitable and habitat selectivity declines. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Behav Ecol, Volume 30, Issue 2, 12 January 2019, Pages 528–540, The content of this slide may be subject to copyright: please see the slide notes for details.

3 Figure 3 Performance of the best-performing model scenario from each presented configuration based on the ability to ... Figure 3 Performance of the best-performing model scenario from each presented configuration based on the ability to match empirical patterns of dispersal by 15 martens translocated to Northern Wisconsin in Asterisks denote the top performing model overall. Patterns matched that are displayed here include (a) dispersal distance mean and SD, (b) time to home range establishment mean and SD, (c) mean average neighbor distance, and (d) mean nearest neighbor distance. Dashed lines represent empirical means, whereas dashed–dotted lines represent empirical means with one outlier removed (time to home range establishment had no outlier). Means and standard deviations from actual martens with and without a single outlier included are represented by hollow bars. For model simulations, the mean of means and mean standard deviations across 5 replicates are presented. Static and Delay scenarios incorporated a single habitat suitability map with the 50%, 60%, or 70% habitat suitability rule. Delay represents an imposed 2-week exploratory phase prior to settlement. Dynamic scenarios incorporated the 2-week delay as well as a progression of habitat suitability maps over time ([70%, 60%, 50% rules] or [80%, 70%, 60% rules]) to represent a decline in habitat selectivity by the disperser. Bound rates are not displayed here because only the overall best performing bound rate for each scenario is presented. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Behav Ecol, Volume 30, Issue 2, 12 January 2019, Pages 528–540, The content of this slide may be subject to copyright: please see the slide notes for details.

4 Figure 4 A histogram of dispersal distances across 5 replicates of our top-performing model of American marten ... Figure 4 A histogram of dispersal distances across 5 replicates of our top-performing model of American marten dispersal. These data are fitted to a Weibull dispersal distance kernel plotted as the probability density function of the distribution of distances traveled by dispersing martens away from their release location. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Behav Ecol, Volume 30, Issue 2, 12 January 2019, Pages 528–540, The content of this slide may be subject to copyright: please see the slide notes for details.

5 Figure 5 Number of times each of the 3 values tested for number of bounds per minute (i.e., mean step length) was ... Figure 5 Number of times each of the 3 values tested for number of bounds per minute (i.e., mean step length) was selected as the best performing model by each method used to evaluate pattern-matching. Models simulated American marten dispersal of translocated individuals released in Northern Wisconsin in PF = Pass/Fail; WPF = Weighted pass/fail; RS = Rank-sum; WRS = Weighted rank-sum; D<sup>2</sup> = Mahalanobis distance; TI = Total Indicator. Several instances occurred in which multiple bound rates received the same ranking from the PF and WPF methods. Two ties occurred between 20 and 30 bounds, 2 ties occurred among all 3 bound rates, and 1 tie occurred between 10 and 30 bounds. Unless provided in the caption above, the following copyright applies to the content of this slide: © The Author(s) Published by Oxford University Press on behalf of the International Society for Behavioral Ecology.This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. Behav Ecol, Volume 30, Issue 2, 12 January 2019, Pages 528–540, The content of this slide may be subject to copyright: please see the slide notes for details.

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