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AK EPSCoR – Integration Core . Kalb Stevenson, RAM Group, UAA & INE, UAF Lilian Alessa, RAM Group, UAA Andrew Kliskey, RAM Group UAA Mark Altaweel RAM Group UAA & University College London. Resilience and Adaptive Management Group. Outline. Social Ecological Systems (SES)

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AK EPSCoR – Integration Core

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Ak epscor integration core

AK EPSCoR – Integration Core

Kalb Stevenson, RAM Group, UAA & INE, UAF

Lilian Alessa, RAM Group, UAA

Andrew Kliskey, RAM Group UAA

Mark Altaweel RAM Group UAA & University College London

Resilience and adaptive management group

Resilience and Adaptive Management Group



  • Social Ecological Systems (SES)

    • Characterizing SES (SES typology)

    • Mapping SES (SES hotspots)

    • Modeling SES (Forecasting Environmental Resilience in Arctic Landscapes: FERAL coupled model)

    • Synthesis for SES(Architecture for Integrated and Dynamic Data Analysis: “AIDA”)

The challenge for understanding ses

The challenge for understanding SES

  • SES transitions due to land use, climate and other change drivers are poorly understood.

  • Few models examine cumulative processesfrom the bottom up and even fewer incorporate critical social data.

  • Several emergent tools and theories now exist to improve our understanding.

Ak epscor integration core

Human Values




Ak epscor integration core

  • Existing SES models involve “neat” examples, rather than “messy” or complex systems.

  • This includes the totality of human settlement, including social organization, technologies and movements of water, energy, materials and people, along with distribution systems.

  • How do different communities approach resilience? What is the ability of a system to withstand perturbation while maintaining function (short- vs. long-term adaptive strategies?)

Ses types charts

SES types charts

Two Axes: Community Size and Resilience (proximity to a threshold).

Assessing trajectory: Is it towards resilience? Towards vulnerability or collapse? Towards transition?

Mapping values

Mapping Values

  • In any given resource issue there are multiple and sometimes competing values

  • We rarely map these values. As a consequence, there is often a difficulty in making management decisions that are sustainable or that don’t result in great conflict

  • Overlapping landscape values on the Kenai Peninsula: assessment using surveys of values of different communities and detecting overlapping social-ecological “hotspots”

Mapping values1

Mapping Values

  • SES hotspots adopted by USGS in their SoLVES tool

  • SES hotspots adopted by Chugach National Forest in their Online Mapping Tool

  • Assessment of important values in landscape (historical, cultural, recreational, economic, etc.)

Projecting change

Projecting Change

Vulnerability mapping (Social + Ecological data):

Seward Peninsula and Fish River watershed

Two middle figures are 100 years out

Modeling consequences

Modeling Consequences

  • Forecasting Environmental Resilience in Arctic Landscapes (FERAL): coupled biophysical and social monitoring

  • Proposed modeling and simulation approach that assesses social ecological change at

  • variable speeds and spatial scales

  • Used to address issues affecting community water supply (Seward Peninsula study) –

  • the paper demonstrates the need to develop tools addressing issues at the community

  • level, addressing human-hydrology interactions and policy decisions

Modeling consequences1

Environmental + Social modeling

Uses agent-based modeling w/ agents as programed elements

Modeling Consequences

Step 1: Assess water source selection process

with observed trends and determine consequences of water

selection choices.

Ak epscor integration core

Modeling Consequences

We combine models of social dynamics, which are strong stand alone models, with models of hydrological change, which are also strong stand alone models.

The key in approaches such as this is in acquiring organizing and sorting the social datasuch that they are interoperablewith the biophysical data.

The goal is to understand the consequences of various change regimes and of different policy and management decisions.

This type of engagement allows you to advance the fundamental understanding of a system, how variables interact, how they change over time and what kinds of trade offs can be expected.

Acquiring organizing and synthesizing aos social science data aida

Acquiring, Organizing and Synthesizing (AOS) Social Science Data: AIDA

Undertaking of “sentiment analysis”

- Relationship of sentiments towards concepts

Ak epscor integration core

Architecture for Integrated and Dynamic Data Analysis (AIDA)

  • Captures social drivers and unseen factors affecting social-ecological change

  • Social monitoring through an “information infusion approach”

Ak epscor integration core

Applying AIDA



  • Social Ecological Systems (SES)

    • Characterizing SES (SES typology)

    • Mapping SES (SES hotspots)

    • Modeling SES (FERAL coupled model)

    • Synthesis for SES (AIDA)

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