Presentation is loading. Please wait.

Presentation is loading. Please wait.

Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau,

Published byMonica Harrell Modified over 9 years ago

Similar presentations

Presentation on theme: "Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau,"— Presentation transcript:

1 Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau, Dennis Murray, James A. Schaefer, Mark Lewis. ESA2013, Minneapolis, 5 August 2013.

2 From process to pattern

3 Leave this out for today!

4 Classical resource selection analysis

5 Accounting for movement: the story so far Moorcroft and Barnett (2008) Ecology, 89(4), 1112–1119

6 Idea: Use the resource selection function for the movement kernel Accounting for movement: the story so far

7

8

9

10

11 Classical resource selection analysis

12 Accounting for movement: the story so far

13 Problem: no effect of patch size and isolation Red = better resources Blue = worse resources

14 Our model: weight based on start and end of step Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

15 Our model: weight based on start and end of step Step length and turning angle distributions Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

16 Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

17 Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y Potts JR, Bastille-Rousseau G, Murray DL, Schaefer JA, Lewis MA. Predicting local and non-local effects of resources on animal space use using a mechanistic step- selection model. Methods in Ecology and Evolution (in review)

18 Our model: weight based on start and end of step Step length and turning angle distributions Relative quality of resources at x compared to those at y

19 Parameterise the model using Caribou data from Newfoundland

20 Weighting function W[H(x),H(y)] According to this: Wetland > Barren > Coniferous open > Coniferous dense > Other

21 Results: space use in artificial landscape a)Resources: Red = Wetland; Blue = Coniferous dense b)Animal space use distribution, assuming step lengths and turning angle distributions are the same for both habitats

22 Results: patch size and isolation

23 Acknowledgements Mark Lewis (University of Alberta) Guillaume Bastille-Rousseau (Trent University) Dennis Murray (Trent) James Schaefer (Trent) Members of the Lewis Lab (Alberta)

24 Conclusions Our simple change to the step selection function causes dramatic changes in the space use distribution Predicts aspects of space use that standard resource selection methods do not

Download ppt "Predicting local and non-local effects of resources on animal space use using a mechanistic step-selection model Jonathan Potts, Guillaume Bastille-Rousseau,"

Similar presentations

© Jim Barritt 2005School of Biological Sciences, Victoria University, Wellington MSc Student Supervisors : Dr Stephen Hartley, Dr Marcus Frean Victoria.

© Jim Barritt 2005School of Biological Sciences, Victoria University, Wellington MSc Student Supervisors : Dr Stephen Hartley, Dr Marcus Frean Victoria.
Process – Resource Evaluation Design and perform a set of geographically based resource assessments Develop a methodology for prioritizing land according.

Process – Resource Evaluation Design and perform a set of geographically based resource assessments Develop a methodology for prioritizing land according.
Jonathan R. Potts Centre for Mathematical Biology, University of Alberta. 3 December 2012 Territory formation from an individual- based movement-and-interaction.

Jonathan R. Potts Centre for Mathematical Biology, University of Alberta. 3 December 2012 Territory formation from an individual- based movement-and-interaction.
What are Lines? A line is a basic element of art, referring to a continuous mark, made on a surface, by a moving point. A line is merely a dot that moves.

What are Lines? A line is a basic element of art, referring to a continuous mark, made on a surface, by a moving point. A line is merely a dot that moves.
Succession Model We talked about the facilitation, inhibition, and tolerance models, but all of these were verbal descriptions Today we are going to consider.

Succession Model We talked about the facilitation, inhibition, and tolerance models, but all of these were verbal descriptions Today we are going to consider.
Deriving space use patterns from animal interaction mechanisms Jonathan Potts, Postdoctoral Fellow, University of Alberta, May 2013.

Deriving space use patterns from animal interaction mechanisms Jonathan Potts, Postdoctoral Fellow, University of Alberta, May 2013.
Uncovering animal movement decisions from positional data Jonathan Potts, Postdoctoral Fellow, University of Alberta, September 2013.

Uncovering animal movement decisions from positional data Jonathan Potts, Postdoctoral Fellow, University of Alberta, September 2013.
61BL3313 Population and Community Ecology Lecture 06 Metapopulations Spring 2013 Dr Ed Harris.

61BL3313 Population and Community Ecology Lecture 06 Metapopulations Spring 2013 Dr Ed Harris.
Landscape Ecology Large-scale Spatial Patterns and Ecological Processes.

Landscape Ecology Large-scale Spatial Patterns and Ecological Processes.
Matt Guyerson Winter Ecology Spring 2014 Mountain Research Station, University of Colorado, Boulder.

Matt Guyerson Winter Ecology Spring 2014 Mountain Research Station, University of Colorado, Boulder.
Jonathan R. Potts, Luca Giuggioli, Steve Harris, Bristol Centre for Complexity Sciences & School of Biological Sciences, University of Bristol. 20 September.

Jonathan R. Potts, Luca Giuggioli, Steve Harris, Bristol Centre for Complexity Sciences & School of Biological Sciences, University of Bristol. 20 September.
HIP JACK THEORY AND LAYOUT

HIP JACK THEORY AND LAYOUT
How close is a complex movement model to reality? Jonathan Potts, Marie Auger-Méthé, Karl Morkoss, Mark Lewis.

How close is a complex movement model to reality? Jonathan Potts, Marie Auger-Méthé, Karl Morkoss, Mark Lewis.
The distribution of species: Edge length, number of patches and occupancy Fangliang He Department of Renewable Resources University of Alberta.

The distribution of species: Edge length, number of patches and occupancy Fangliang He Department of Renewable Resources University of Alberta.
1/22/2001Physics 222 Special Relativity Lecture 3.

1/22/2001Physics 222 Special Relativity Lecture 3.
Hough Transform Jeremy Wyatt. The story so far We know how to find edges by convolving with the derivative of a Gaussian filter in two directions We then.

Hough Transform Jeremy Wyatt. The story so far We know how to find edges by convolving with the derivative of a Gaussian filter in two directions We then.
Vocabulary Review Ch 19 Populations. A group of organisms of the same species that live in a specific geographical area and interbreed Population.

Vocabulary Review Ch 19 Populations. A group of organisms of the same species that live in a specific geographical area and interbreed Population.
GPGP Update Non-Local Viewpoints Schedules Assume enablers will be present (cooperative assumption)

GPGP Update Non-Local Viewpoints Schedules Assume enablers will be present (cooperative assumption)
Target Tracking a Non-Linear Target Path Using Kalman Predictive Algorithm and Maximum Likelihood Estimation by James Dennis Musick.

Target Tracking a Non-Linear Target Path Using Kalman Predictive Algorithm and Maximum Likelihood Estimation by James Dennis Musick.
Habitat “the resources and conditions present in an area that affect occupancy by a species” (Morrison 2002) More than floristic composition Structure,

Habitat “the resources and conditions present in an area that affect occupancy by a species” (Morrison 2002) More than floristic composition Structure,

Similar presentations

Ads by Google