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9/23/2014 1 Ecological Response Modeling: Part II Applications Vulnerability Potential Impact Adaptive Capacity Sensitivity Exposure You are here.

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Page 1: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Ecological Response Modeling: Part II

Applications

Vulnerability

Potential Impact

Adaptive Capacity

SensitivityExposure

You are here.

Page 2: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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A framework for Vulnerability Assessment

under a changing climate

Glick, P., Stein, B.A., and Edelson, N.A., eds., 2011, Scanning the conservation horizon: A guide to climate change vulnerability assessment: Washington, D.C., National Wildlife Federation, 176 p.

Page 3: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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In space and time

Vulnerability

Potential Impact Adaptive 

Capacity

SensitivityExposure

Resistance

Resilience

Transition

…helping put adaptation principles 

into practice, and moving adaptation 

from planning to action.

Stein, BA. P. Glick, N. Edelson, and A. Staudt (eds) 2014. Climate-Smart Conservation: Putting Adaptation Principles into Practice. National Wildlife Federation, Washington, D.C.

Page 4: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Vulnerability

Potential Impact

Adaptive Capacity

SensitivityExposure

Resistance

Resilience

Transition

• identifying primary local climate drivers by climate sensitivity of the biological system of interest 

• determining appropriate sources of information for future changes in those drivers

• considering how well processes controlling local climate are spatially resolved and 

• selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. 

Eos, Vol. 94, No. 46, 12 November 2013

Joe Barsugli et al.

“…usability will depend also on additional factors inher‐ ent in decision making such as institutional constraints, decision and policy goals, and the level of skill needed to use the information.” 

Page 5: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Connecting Climate to Plants and Animals through Habitat Suitability Modeling

Rodda GH, Jarnevich CS, Reed RN (2011) Challenges in Identifying Sites Climatically Matched to the Native Ranges of Animal Invaders. PLoS ONE 6(2):e14670. doi:10.1371/journal.pone.0014670

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Rodda GH, Jarnevich CS, Reed RN (2011) Challenges in Identifying Sites Climatically Matched to the Native Ranges of Animal Invaders. PLoS ONE 6(2):e14670. doi:10.1371/journal.pone.0014670

Connecting Climate to Plants and Animals through Habitat Suitability Modeling

Morisette et al., 2013. VisTrails SAHM: visualization and workflow management for species habitat modeling. Ecography36: 129–135. doi: 10.1111/j.1600-0587.2012.07815.x

…making our modeling transparent and repeatable.

Page 7: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Preliminary model analysis & decision Output routines

Input data

Preprocessing

Correlative models

Preliminary model analysis & decision Output routines

Input data

Preprocessing

Correlative models

80%80%

20%20%

Preliminary model analysis & decision Output routines

Input data

Preprocessing

Correlative models

20%20%

80%80%

Page 8: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Connecting Climate to Plants and Animals through Habitat Suitability Modeling

Connecting Climate to Plants and Animals through Habitat Suitability Modeling

Page 9: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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Ecological Response Modeling: Part II

Applicationsimplies

Collaboration

Some training and technical references to consider…

http://pubs.usgs.gov/fs/2014/3007/

2015 March 24–25September 8–9

2016 March 22–23September 6–7

Page 10: Ecological Response Modeling: Part II Applications · 9/30/2014  · 9/23/2014 10 • identifying primary local climate drivers by climate sensitivity of the biological system of

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• identifying primary local climate drivers by climate sensitivity of the biological system of interest 

• determining appropriate sources of information for future changes in those drivers

• considering how well processes controlling local climate are spatially resolved and 

• selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. 

Eos, Vol. 94, No. 46, 12 November 2013

Joe Barsugli et al.

“…usability will depend also on additional factors inher‐ ent in decision making such as institutional constraints, decision and policy goals, and the level of skill needed to use the information.”