A GIS-based inductive study of wilderness values

This study presents the results of spatial analysis of wilderness values in Alaska. Using data from two regional planning studies, perceived landscape values from inside and outside wilderness areas were compared to determine if proportionate value differences exist between wilderness and nonwilderness areas. Multiple regression analysis was used to confirm the results and determine the relative strength of general landscape values as predictors of wilderness value. Results indicate that wilderness areas reflect values associated with indirect, intangible, or deferred human uses of the landscape—life-sustaining, intrinsic, and future values—whereas landscape values outside wilderness areas reflect more direct, tangible, and immediate uses of the landscape—economic, recreation, and subsistence values

An "All Hands" Call to the Social Science Community: Establishing a Community Framework for Complexity Modeling Using Agent Based Models and Cyberinfrastructure

To date, many communities of practice (COP) in the social sciences have been struggling with how to deal with rapidly growing bodies of information. Many CoPs across broad disciplines have turned to community frameworks for complexity modeling (CFCMs) but this strategy has been slow to be discussed let alone adopted by the social sciences communities of practice (SS-CoPs). In this paper we urge the SS-CoPs that it is timely to develop and establish a CBCF for the social sciences for two major reasons: the rapid acquisition of data and the emergence of critical cybertools which can facilitate agent-based, spatially-explicit models. The goal of this paper is not to prescribe how a CFCM might be set up but to suggest of what components it might consist and what its advantages would be. Agent based models serve the establishment of a CFCM because they allow robust and diverse inputs and are amenable to output-driven modifications. In other words, as phenomena are resolved by a SS-CoP it is possible to adjust and refine ABMs (and their predictive ability) as a recursive and collective process. Existing and emerging cybertools such as computer networks, digital data collections and advances in programming languages mean the SS-CoP must now carefully consider committing the human organization to enabling a cyberinfrastructure tool. The combination of technologies with human interfaces can allow scenarios to be incorporated through 'if' 'then' rules and provide a powerful basis for addressing the dynamics of coupled and complex social ecological systems (cSESs). The need for social scientists to be more engaged participants in the growing challenges of characterizing chaotic, self-organizing social systems and predicting emergent patterns makes the application of ABMs timely. The enabling of a SS-CoP CFCM human-cyberinfrastructure represents an unprecedented opportunity to synthesize, compare and evaluate diverse sociological phenomena as a cohesive and recursive community-driven process.Community-Based Complex Models, Mathematics, Social Sciences

Towards a Community Framework for Agent-Based Modelling

Agent-based modelling has become an increasingly important tool for scholars studying social and social-ecological systems, but there are no community standards on describing, implementing, testing and teaching these tools. This paper reports on the establishment of the Open Agent-Based Modelling Consortium, www.openabm.org, a community effort to foster the agent-based modelling development, communication, and dissemination for research, practice and education.Replication, Documentation Protocol, Software Development, Standardization, Test Beds, Education, Primitives

Social Influence and Decision-Making: Evaluating Agent Networks in Village Responses to Change in Freshwater

This paper presents a model, using concepts from artificial neural networks, that explains how small rural communities make decisions that affect access to potable freshwater. Field observations indicate that social relationships as well as individual goals and perceptions of decision makers have a strong influence on decisions that are made by community councils. Our work identifies three types of agents, which we designate as alpha, beta, and gamma agents. We address how gamma agents affect decisions made by community councils in passing resolutions that benefit a village\'s collective access to clean freshwater. The model, which we call the Agent Types Model (ATM), demonstrates the effects of social interactions, corporate influence, and agent-specific factors that determine choices for agents. Data from two different villages in rural Alaska and several parameter sensitivity tests are applied to the model. Results demonstrate that minimizing the social significance and agent-specific factors affecting gamma agents\' negative compliance increases the likelihood that communities adopt measures promoting potable freshwater access. The significance of this work demonstrates which types of communities are potentially more socially vulnerable or resilient to social-ecological change affecting water supplies.Agent-Based Modeling, Artificial Neural Network, Social Network, Social Influence, Resilience, Freshwater

Contrasting stakeholder and scientist conceptual models of food-energy-water systems: a case study in Magic Valley, Southern Idaho

One of the factors for the success of simulation studies is close collaboration with stakeholders in developing a conceptual model. Conceptual models are a useful tool for communicating and understanding how real systems work. However, models or frameworks that are not aligned with the perceptions and understanding of local stakeholders can induce uncertainties in the model outcomes. We focus on two sources of epistemic uncertainty in building conceptual models of food-energy-water systems (FEWS): (1) context and framing; and (2) model structure uncertainty. To address these uncertainties, we co-produced a FEWS conceptual model with key stakeholders using the Actor-Resources-Dynamics-Interaction (ARDI) method. The method was adopted to specifically integrate public (and local) knowledge of stakeholders in the Magic Valley region of Southern Idaho into a FEWS model. We first used the ARDI method with scientists and modellers (from various disciplines) conducting research in the system, and then repeated the process with local stakeholders. We compared results from the two cohorts and refined the conceptual model to align with local stakeholders’ understanding of the FEWS. This co-development of a conceptual model with local stakeholders ensured the incorporation of different perspectives and types of knowledge of key actors within the socio-ecological systems models

We Didn\u27t Cross the Border; the Border Crossed Us : Informal Social Adaptations to Formal Governance and Policies by Communities Across the Bering Sea Region in the Russian Far East and United States

Territorially isolated villages along the shores of the U.S. and Russian Bering Sea live with stark political lines dividing a region that shares a common history, heritage, and contemporary existence. It is also a region whose environmental security is threatened by common changes occurring throughout the area but for whom possible responses to these changes are shaped by the policies and politics of the countries in which they reside. This paper is based on the experience from an international observing network, the Community Observing Network for Adaptation and Security (CONAS), which provides rare insights on how political context, across the remote and unique region of the Bering Sea, shapes the realities of a People and how informal social institutions have adapted as a result

The Relationship between Traditional Ecological Knowledge, Evolving Cultures, and Wilderness Protection in the Circumpolar North

There are many unique issues associated with natural resource management in the far north as a result of legislative direction, historic settlement and occupation patterns, northern cultural traditions, ecotourism, economic depression, pressures for energy development, and globalization and modernization effects. Wilderness designation in Canada, the USA, and Finland is aimed at preserving and restoring many human and ecological values, as are the long-established, strictly enforced, nature reserves in Russia. In Alaska and Finland, and in some provinces of Canada, there is a variety of values associated with protecting relatively intact relationships between indigenous people and relatively pristine, vast ecosystems. These values are often described as “traditional means of livelihood,” “traditional means of access,” “traditional relationships with nature,” or “traditional lifestyles.” Traditional ecological knowledge (TEK) forms part of these relationships and has been acknowledged as a contributor to understanding the effects of management decisions and human-use impacts on long-term ecological composition, structure, and function. Wilderness protection can help maintain opportunities to continue traditional relationships with nature. As cultures continue to evolve in customs, attitudes, knowledge, and technological uses, values associated with both TEK and relationships with relatively pristine ecosystems will also evolve. Understanding these relationships and how to consider them in wilderness protection and restoration decision making is potentially one of the most contentious, widespread natural resource management issues in the circumpolar north

We Didn\u27t Cross the Border; the Border Crossed Us : Informal Social Adaptations to Formal Governance and Policies by Communities Across the Bering Sea Region in the Russian Far East and United States

Territorially isolated villages along the shores of the U.S. and Russian Bering Sea live with stark political lines dividing a region that shares a common history, heritage, and contemporary existence. It is also a region whose environmental security is threatened by common changes occurring throughout the area but for whom possible responses to these changes are shaped by the policies and politics of the countries in which they reside. This paper is based on the experience from an international observing network, the Community Observing Network for Adaptation and Security (CONAS), which provides rare insights on how political context, across the remote and unique region of the Bering Sea, shapes the realities of a People and how informal social institutions have adapted as a result

Assessing the Impacts of Local Knowledge and Technology on Climate Change Vulnerability in Remote Communities

The introduction of new technologies into small remote communities can alter how individuals acquire knowledge about their surrounding environment. This is especially true when technologies that satisfy basic needs, such as freshwater use, create a distance (i.e., diminishing exposure) between individuals and their environment. However, such distancing can potentially be countered by the transfer of local knowledge between community members and from one generation to the next. The objective of this study is to simulate by way of agent-based modeling the tensions between technology-induced distancing and local knowledge that are exerted on community vulnerability to climate change. A model is developed that simulates how a collection of individual perceptions about changes to climatic-related variables manifest into community perceptions, how perceptions are influenced by the movement away from traditional resource use, and how the transmission of knowledge mitigates the potentially adverse effects of technology-induced distancing. The model is implemented utilizing climate and social data for two remote communities located on the Seward Peninsula in western Alaska. The agent-based model simulates a set of scenarios that depict different ways in which these communities may potentially engage with their natural resources, utilize knowledge transfer, and develop perceptions of how the local climate is different from previous years. A loosely-coupled pan-arctic climate model simulates changes monthly changes to climatic variables. The discrepancy between the perceptions derived from the agent-based model and the projections simulated by the climate model represent community vulnerability. The results demonstrate how demographics, the communication of knowledge and the types of 'knowledge-providers' influence community perception about changes to their local climate