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The braiding of Indigenous knowledge systems and Western-based sciences offers insights into ecology and has emerged as a way to help address complex environmental issues. We reviewed the publicly available ecological research involving the braiding of Indigenous knowledge systems and Western-based sciences to support collaborative work in the Alberta oil sands region of Canada. We conducted a systematic review, coding for 78 questions in six categories: (1) literature search and bibliographic information; (2) research themes; (3) study setting and design; (4) knowledge systems; (5) power relationships, colonization, and ethical considerations in research; and (6) benefits and challenges of braiding. We identified six articles that braided knowledge, with those articles focusing on environmental management and monitoring for impacts of industrial activity in northern Alberta. Researchers used a broad range of approaches to gather Indigenous knowledge and scientific data and identified multiple challenges (e.g., asymmetries of power, resource availability, and funding) to research. Our findings show that more support is needed to foster, promote, and disseminate interdisciplinary collaborative work involving braiding. Additional support is also required to address Indigenous community research needs related to the assessment of environmental impact and reclamation, as well as the understanding of ecological threats across the region.

Social-ecological networks (SENs) represent the complex relationships between ecological and social systems and are a useful tool for analyzing and managing ecosystem services. However, mainstreaming the application of SENs in ecosystem service research has been hindered by a lack of clarity about how to match research questions to ecosystem service conceptualizations in SEN (i.e., as nodes, links, attributes, or emergent properties). Building from different disciplines, we propose a typology to represent ecosystem service in SENs and identify opportunities and challenges of using SENs in ecosystem service research. Our typology provides guidance for this growing field to improve research design and increase the breadth of questions that can be addressed with SEN to understand human-nature interdependencies in a changing world.

Western-trained, non-Indigenous researchers in Canada have an ethical responsibility to collaborate with Indigenous Peoples and to re-envision the scientific research process through the lens of reconciliation. The health of the natural environment has long been a concern to both Indigenous and non-Indigenous Peoples, and weaving different ways of knowing could provide a path forward to address critical wildlife health concerns. Here, we conducted a review of the peer-reviewed and grey literature that claims to weave Indigenous and Western ways of knowing in ecotoxicology and wildlife health in Canada, coding for background information, wildlife health stressors, research methods, Indigenous participation, and research outcomes. Seventeen studies met the inclusion criteria, the majority of which were published since 2015 and took place in Canada’s North. Research collaborations were often between First Nations or Inuit knowledge holders (most frequently, active harvesters and Elders) and Western-trained, non-Indigenous academics. Most studies were initiated by mutual agreement between community partners and researchers, but no study was “Indigenous-led” at any stage of research. Studies investigated environmental contaminants and health-related topics in a range of wildlife, usually traditional subsistence species. The most commonly studied disease was avian cholera, and the most studied class of toxicants was metals and trace elements. Indigenous knowledge was primarily collected via interviews. Studies often used multiple methodologies to braid or weave knowledge, but the most frequently used methodology was community-based participatory research. To provide a more holistic understanding of the process of weaving knowledge, we conducted an in-depth examination, applying a decolonizing lens, of two exemplar cases of collaborative research with Indigenous communities. This exploration led to the conclusion that research that weaves ways of knowing must not be approached with a “one-size-fits-all” mindset, but instead should emphasize relationship building, continuous engagement, and ethical practices. By adopting such practices, Western-trained, non-Indigenous academics can better address critical wildlife health concerns while contributing meaningfully to advancing healing and reconciliation with Indigenous Peoples.

Alternative livelihood programs are a central feature of contemporary conservation planning that aim to aid efforts to reduce pressure on natural resources and avoid, minimize, or mitigate the impacts of conservation on the wellbeing of local stakeholders. Evidence of the effectiveness of these programs is, however, decidedly mixed. This research examines the relationship between livelihoods, conservation, and wellbeing among nearshore fishers in Port Antonio, Jamaica, in the context of a recently established marine no-take area. The East Portland Fish Sanctuary was established in 2016 with the aim of supporting the recovery of depleted nearshore fish stocks, marine habitats, and mitigating impacts on local communities and fishers through a range of activities. Mitigation of impacts included efforts to shift pressure from overexploited nearshore fish stocks to offshore resources and to provide support to fishers for training and opportunities to earn income in the tourism sector. The results suggest that additional sources of income tended to enhance the wellbeing of fishers across several dimensions but that it also contributed to additional pressure on nearshore resources. Furthermore, neither tourism nor offshore fishing appear to be particularly promising in terms of their ability to deliver “win-win” outcomes for conservation and wellbeing. Instead, the results suggest that the impacts of different types of alternative livelihoods on conservation and wellbeing are highly variable and perhaps that efforts should be redirected to supporting efforts to provide suitable and acceptable alternatives to spearfishing which appears to have one of the largest overall impacts on individual harvest rates.

This essay explores shifting scientific understandings of fish and the evolution of fisheries science, and it grapples with colonialism as a system of power. We trace the rise of fisheries science to a time when Western nation-states were industrializing fishing fleets and competing for access to distant fishing grounds. A theory of fishing called "maximum sustainable yield" (MSY) that understands fish species in aggregate was espoused. Although alternatives to MSY have been developed, decision-making continues to be informed by statistical models developed within fisheries science. A challenge for structured management systems now rests in attending to different systems of knowledge and addressing local objectives, values, and circumstances. To deepen and illustrate key points, we examine Pacific herring (

Environmental decision-makers and practitioners need and deserve high-quality environmental evidence for effective decision-making. We collate and share a suite of best practices for applied environmental researchers to support their capacity to inform such decision-making processes. This raises a number of important questions: What does “relevant” and informative evidence look like? How do we know when evidence has been applied? We assembled an experienced team of knowledge generators and users in Canada to identify insights that have emerged from their work and that could serve as guideposts for others who seek to apply environmental research to policy challenges. By reflecting on successes and failures, we define “success” in applied environmental science as respectfully conducted, partner-relevant research that is accessible, understandable, and shared and that can create opportunities for change (e.g., in policy, behaviour, management). Next, we generated a list of best practices for delivering “successful” applied environmental research. Our guidance emphasizes the importance of engaging early and often, in a respectful manner, with partners, generating high-quality, relevant research (which requires flexibility), having a plan for communicating and sharing outputs, and being transparent about uncertainties and limitations. Other important considerations include acknowledging partners for involvement and training early career researchers in applied partnership research. Finally, we generated a list of specific, measurable indicators for evaluating success, including quality and quantity of scientific outputs, the relationship with the partner(s), relevance and connectedness of the research, accessibility and availability of outputs to users, provision of outputs that are digestible and usable by different audiences, training and capacity building, and ultimate outcomes (e.g., including social, environmental, and economic outcomes, as well as partner satisfaction). We encourage those embarking on applied environmental research to consider embracing the strategies, to continuously reflect on progress toward shared research goals, and to be flexible. Doing so will increase the likelihood of delivering research that is “successful” and in doing so contribute to overcoming and addressing environmental issues and problems.

Social-ecological network (SEN) concepts and tools are increasingly used in human-environment and sustainability sciences. We take stock of this budding research area to further show the strength of SEN analysis for complex human-environment settings, identify future synergies between SEN and wider human-environment research, and provide guidance about when to use different kinds of SEN approaches and models. We characterize SEN research along a spectrum specifying the degree of explicit network representation of system components and dynamics. We then systematically review one end of this spectrum, what we term ‘fully articulated SEN’ studies, which specifically model unique social and ecological units and relationships. Results show a larger number of papers focus on methodological advancement and applied ends. While there has been some development and testing of theories, this remains an area for future work and would help develop SENs as a unique field of research, not just a method. Authors have studied diverse systems, while mainly focusing on the problem of social-ecological fit alongside a scattering of other topics. There is strong potential, however, to engage other issues central to human-environment studies. Analyzing the simultaneous effects of multiple social, environmental, and coupled processes, change over time, and linking network structures to outcomes are also areas for future advancement. This review provides a comprehensive assessment of (fully articulated) SEN research, a necessary step that can help scholars develop comparable cases and fill research gaps.

Socio–environmental synthesis as a research approach contributes to broader sustainability policy and practice by reusing data from disparate disciplines in innovative ways. Synthesizing diverse data sources and types of evidence can help to better conceptualize, investigate and address increasingly complex socio–environmental problems. However, sharing qualitative data for re-use remains uncommon when compared to sharing quantitative data. We argue that qualitative data present untapped opportunities for sustainability science, and discuss practical pathways to facilitate and realize the benefits from sharing and reusing qualitative data. However, these opportunities and benefits are also hindered by practical, ethical and epistemological challenges. To address these challenges and accelerate qualitative data sharing, we outline enabling conditions and suggest actions for researchers, institutions, funders, data repository managers and publishers. Opportunities, challenges and recommended targeted actions to accelerate qualitative data sharing to address complex socio–environmental problems

Background Drawing upon multiple types of knowledge (e.g., Indigenous knowledge, local knowledge, science-based knowledge) strengthens the evidence-base for policy advice, decision making, and environmental management. While the benefits of incorporating multiple types of knowledge in environmental research and management are many, doing so has remained a challenge. This systematic map examined the extent, range, and nature of the published literature (i.e., commercially published and grey) that seeks to respectively bridge Indigenous and science-based knowledge in coastal and marine research and management in Canada. Methods This systematic map applied standardized search terms across four databases focused on commercially published literature, carefully selected specialist websites, and two web-based search engines. In addition, reference sections of relevant review articles were cross-checked to identify articles that may not have been found using the search strategy. Search results were screened in two sequential stages; (1) at title and abstract; and (2) at full text following a published protocol. All case studies included were coded using a standard questionnaire. A narrative synthesis approach was used to identify trends in the evidence, knowledge gaps, and knowledge clusters. Results A total of 62 articles that spanned 71 Canadian case studies were included in the systematic map. Studies across the coastal and marine regions of Inuit Nunangat accounted for the majority of the studies. Whether the focus is on management and decision making or research and monitoring, the predominant ecological scale was at the species level, accounting for over two-thirds of the included studies. There were 24 distinct coastal and marine species of central focus across the studies. Nunavut had the greatest taxonomic coverage as studies conducted to date cover 13 different genera. The predominant methodology employed for combining and/or including Indigenous knowledge was case study design, which accounted for over half of the studies. Other methodologies employed for combining and/or including different ways of knowing included: (i) community-based participatory research; (ii) mixed methods; (iii) ethnography; and (iv) simulation modelling. There are a suite of methods utilized for documenting and translating Indigenous knowledge and an equally diverse tool box of methods used in the collection of scientific data. Over half of the case studies involved Indigenous knowledge systems of the Inuit, while another significant proportion involved Indigenous knowledge systems of First Nations, reflecting 21 unique nations. We found that demographics of knowledge holders were generally not reported in the articles reviewed. Conclusions The results of this systematic map provide key insights to inform and improve future research. First, a variety of methodologies and methods are used in these types of studies. Therefore, there is a need to consider in more detail how Indigenous and science-based knowledge systems can be respectively bridged across subjects while also recognizing specific place-based needs of Indigenous communities. Second, the work highlights the need to better report the demographics of knowledge holders. Further inquiry focused on the extent of knowledge co-production and assessing Indigenous participation across different stages of the research process would serve the research community well to improve future research and monitoring in support of, and to strengthen, evidence-based environmental management.

Small-scale fisheries often involve weak management regimes with limited top-down enforcement of rules and minimal support from legal institutions, making them useful model systems for investigatin ...

Achieving effective, sustainable environmental governance requires a better understanding of the causes and consequences of the complex patterns of interdependencies connecting people and ecosystems within and across scales. Network approaches for conceptualizing and analyzing these interdependencies offer one promising solution. Here, we present two advances we argue are needed to further this area of research: (i) a typology of causal assumptions explicating the causal aims of any given network-centric study of social-ecological interdependencies; (ii) unifying research design considerations that facilitate conceptualizing exactly what is interdependent, through what types of relationships, and in relation to what kinds of environmental problems. The latter builds on the appreciation that many environmental problems draw from a set of core challenges that re-occur across contexts. We demonstrate how these advances combine into a comparative heuristic that facilitates leveraging case-specific findings of social-ecological interdependencies to generalizable, yet context-sensitive, theories based on explicit assumptions of causal relationships.

Complex socio-environmental challenges require interdisciplinary, team-based research capacity. Graduate students are fundamental to building such capacity, yet formal opportunities for graduate students to develop these capacities and skills are uncommon. This paper presents an assessment of the Graduate Pursuit (GP) program, a formal interdisciplinary team science graduate research and training program administered by the National Socio-Environmental Synthesis Center (SESYNC). Quantitative and qualitative assessment of the program’s first cohort revealed that participants became significantly more comfortable with interdisciplinary research and team science approaches, increased their capacity to work across disciplines, and were enabled to produce tangible research outcomes. Qualitative analysis of four themes—(1) discipline, specialization, and shared purpose, (2) interpersonal skills and personality, (3) communication and teamwork, and (4) perceived costs and benefits—encompass participants’ positive and negative experiences and support findings from past assessments. The findings also identify challenges and benefits related to individual personality traits and team personality orientation, the importance of perceiving a sense of autonomy and independence, and the benefit of graduate training programs independent of the university and graduate program environment.

Successful incorporation of scientific knowledge into environmental policy and decisions is a significant challenge. Although studies on how to bridge the knowledge-action gap have proliferated over the last decade, few have investigated the roles, responsibilities, and opportunities for funding bodies to meet this challenge. In this study we present a set of criteria gleaned from interviews with experts across Canada that can be used by funding bodies to evaluate the potential for proposed research to produce actionable knowledge for environmental policy and practice. We also provide recommendations for how funding bodies can design funding calls and foster the skills required to bridge the knowledge-action gap. We interviewed 84 individuals with extensive experience as knowledge users at the science-policy interface who work for environmentally-focused federal and provincial/territorial government bodies and non-governmental organizations. Respondents were asked to describe elements of research proposals that indicate that the resulting research is likely to be useful in a policy context, and what advice they would give to funding bodies to increase the potential impact of sponsored research. Twenty-five individuals also completed a closed-ended survey that followed up on these questions. Research proposals that demonstrated (1) a team with diverse expertise and experience in co-production, (2) a flexible research plan that aligns timelines and spatial scale with policy needs, (3) a clear and demonstrable link to a policy issue, and (4) a detailed and diverse knowledge exchange plan for reaching relevant stakeholders were seen as more promising for producing actionable knowledge. Suggested changes to funding models to enhance utility of funded research included (1) using diverse expertise to adjudicate awards, (2) supporting co-production and interdisciplinary research through longer grant durations and integrated reward structures, and (3) following-up on and rewarding knowledge exchange by conducting impact evaluation. The set of recommendations presented here can guide both funding agencies and research teams who wish to change how applied environmental science is conducted and improve its connection to policy and practice.

Human activities and development have contributed to declines in biodiversity across the globe. Understanding and addressing biodiversity loss will require the mobilization of diverse knowledge systems. While calls for interdisciplinary practices in environmental research date back decades, there has been a more recent push for weaving multiple knowledge systems in environmental research and management, specifically Indigenous knowledge systems (IKS) and Western sciences. The use of multiple knowledge systems in environmental research can improve understanding of socio‐ecological connections, build trust in research findings and help implement evidence‐based action towards biodiversity conservation. Mobilizing multiple types of knowledge in environmental research and management can be beneficial; however, challenges remain. There is a need to understand how and where studies have woven IKS and Western sciences together in order to learn about frameworks and processes used, and identify best practices. Here, we present a protocol for a systematic map that will examine the extent, range and nature of the published literature that weaves IKS and Western sciences in terrestrial ecosystems research, monitoring and management in Canada. The systematic map will aim to capture all available and relevant studies found in the published academic and grey literature. The search will use standardized search terms across four publication databases, four specialized websites and one web‐based search engine. Bibliographies of relevant review articles captured by our search strategy will be cross‐checked to identify additional studies. Calls for evidence among professional networks will also complement the search strategy. All searches will be conducted in English. Search results will be reviewed in two stages: (1) title and abstract and (2) full text. All screening decisions at the full‐text stage will be included into the map database. The systematic map will use a narrative synthesis approach employing descriptive tables, statistics and figures (including a map with geospatially referenced studies) to summarize findings. Results from this mapping exercise can serve to support environmental research and management efforts working across IKS and Western sciences by highlighting best practices, as well as evidence gaps.

Author(s): Filbee-Dexter, K; Symons, CC; Jones, K; Haig, HA; Pittman, J; Alexander, SM; Burke, MJ | Abstract: A key challenge facing ecologists and ecosystem managers is understanding what drives unexpected shifts in ecosystems and limits the effectiveness of human interventions. Research that integrates and analyses data from natural and social systems can provide important insight for unravelling the complexity of these dynamics. It is, therefore, a critical step towards the development of evidence-based, whole-system management approaches. To examine our ability to influence ecosystems that are behaving in unexpected ways, we explore three prominent cases of “ecological surprise.” We captured the social-ecological systems (SES) using key variables and interactions from Ostrom’s SES framework, which integrates broader ecosystem processes (e.g. climate, connectivity), management variables (e.g. quotas, restrictions, monitoring), resource use behaviours (e.g. harvesting) and the resource unit (e.g. trees, fish, clean water) being managed. Structural equation modelling revealed that management interventions often influenced resource use behaviours (e.g. rules and limits strongly affected harvest or pollution), but they did not have a significant effect on the abundance of the managed resource. Instead, most resource variability was related to ecological processes and feedbacks operating at broader spatial or temporal scales than management interventions, which locked the resource system into the degraded state. Synthesis and applications. Mismatch between the influence of management systems and ecosystem processes can limit the effectiveness of human interventions during periods of ecological surprise. Management strategies should shift from a conventional focus on removal or addition of a single resource towards solutions that influence the broader ecosystem. Operationalizing Ostrom’s framework to quantitatively analyse social-ecological systems using structural equation models shows promise for testing solutions to navigate these events.

Sustainable fisheries require strong management and effective governance. However, small-scale fisheries (SFF) often lack formal institutions, leaving management in the hands of local users in the form of various governance approaches (e.g., local, traditional, or co-management). The effectiveness of these approaches inherently relies upon some level of cohesion among resource users to facilitate agreement on common policies and practices regarding common pool fishery resources. Understanding the factors driving the formation and maintenance of community cohesion in SSF is therefore critical if we are to devise more effective participatory governance approaches and encourage and empower decentralized, localized, and community-based resource management approaches. Here, we adopt a social relational network perspective to propose a suite of hypothesized drivers that lead to the establishment of social ties among fishers that build the foundation for community cohesion. We then draw on detailed data from Jamaica’s small-scale fishery to empirically test these drivers by employing a set of nested exponential random graph models (ERGMs) based on specific structural building blocks (i.e., network configurations) theorized to influence the establishment of social ties. Our results demonstrate that multiple drivers are at play, but that collectively, gear-based homophily, geographic proximity, and leadership play particularly important roles. We discuss the extent to which these drivers help explain previous experiences, as well as their implications for future and sustained collective action in SSF in Jamaica and elsewhere.

Most MPA networks are designed only with ecological processes in mind to increase their conservation utility. However, since MPA networks often involve large geographic areas, they also affect and involve multiple actors, institutions, and policy sectors. A key challenge when establishing an effective MPA network is to align the ‘social system’ with the biophysical MPA network (the ‘ecological system’). This challenge is often denoted as ‘social–ecological fit’. Facilitating collaborative social interactions among various actors and stakeholders (social connectivity) is equally as important as accomplishing ecological connectivity. New analytical approaches are required to effectively examine this ‘social’ dimension of fit. An emerging marine reserve network in Jamaica and the recent invasion of Indo-Pacific lionfish are used as a case study to: (1) examine the extent to which horizontal and vertical social ties bring local and national actors together to collaborate, coordinate, and share knowledge; and (2) assess the extent to which different attributes and features of such multilevel social networks may enhance or inhibit particular aspects of social–ecological fit. Findings suggest that multilevel linkages have played the greatest role in relation to enhancing fit in the marine reserve network in the context of the recent lionfish invasion. However, the long-term propensity of the multi-actor and multilevel networks to enhance social–ecological fit is uncertain given the prevalence of weak social ties, lack of a culture of information sharing and collaboration, and limited financial resources.

Achieving the Sustainable Development Goals requires examining the impacts of health interventions across multiple sectors and identifying regions where health–development–environment conflicts are most likely. Doing this is important for ending the epidemic of malaria by 2030 alongside achieving other SDGs.

There are limited approaches available that enable researchers and practitioners to conduct multiple case study comparisons of complex cases of collaboration in natural resource management and conservation. The absence of such tools is felt despite the fact that over the past several years a great deal of literature has reviewed the state of the science regarding collaboration. Much of this work is based on case studies of collaboration and highlights the importance of contextual variables, further complicating efforts to compare outcomes across case-study areas and the likely failure of approaches based on one size fits all generalizations. We expand on the standard overview of the field by identifying some of the challenges associated with managing complex systems with multiple resources, multiple stakeholder groups with diverse knowledges/understandings, and multiple objectives across multiple scales, i.e., multifaceted collaborative initiatives. We then elucidate how a realist methodology, within a critical realist framing, can support efforts to compare multiple case studies of such multifaceted initiatives. The methodology we propose considers the importance and impact of context for the origins, purpose, and success of multifaceted collaborative natural resource management and conservation initiatives in social-ecological systems.

Evidence-based approaches to sustainability challenges must draw on knowledge from the environment, development and health communities. To be practicable, this requires an approach to evidence that is broader and less hierarchical than the standards often applied within disciplines.

Governance networks can facilitate coordinated action and shared opportunities for learning among conservation scientists, policy makers, and communities. However, governance networks that link local, regional, and international actors just as often reflect social relationships and arrangements that can undermine conservation efforts, particularly those concerning community-level priorities. Here, we identify three “waypoints” or navigational guides to help researchers and practitioners explore these networks, and to inspire them to consider in a more systematic manner the social rules and relationships that influence conservation outcomes. These waypoints encourage those engaged in community-based conservation (CBC) to: (1) think about the networks in which they are embedded and the constellation of actors that influence conservation practice; (2) examine the values and interests of diverse actors in governance, and the implications of different perspectives for conservation; and (3) consider how the structure and dynamics of networks can reveal helpful insights for conservation efforts. The three waypoints we highlight synthesize an interdisciplinary literature on governance networks and provide key insights for conservation actors navigating the challenges of CBC at multiple scales and levels.

Biodiversity conservation is often limited by inadequate investments in monitoring and enforcement. However, monitoring and enforcement problems may be overcome by encouraging resource users to dev ...

How social networks support or constrain the transition to co-management of small-scale fisheries and marine reserves is poorly understood. In this paper, we undertake a comparative analysis of the social network structures associated with the transition to co-management in three Jamaican marine reserves. Data from quantitative social relational surveys (n = 380) are integrated with data from semi-structured interviews (n = 63) and focus groups (n = 10) to assess how patterns of relational ties and interactions between and among fishermen and other local level actors (e.g., managers, wardens, NGO staff) support and constrain the transition to co-management. Our research suggests that the transitions to co-management were supported by a combination of three network structure and relational attributes: (i) the presence and position of institutional entrepreneurs; (ii) a dense central core of network actors; and (iii) the prevalence of horizontal ties and vertical linkages held by the community-based organizations formally responsible for the management of the marine reserves. Our findings also show that overall low network cohesion in the three reserves and limited social influence among the wardens may be problematic for sustained collective action that extends beyond the core set of network actors. These findings suggest the importance of strategies to enhance collective action, specifically through attention to the attributes of the corresponding social networks, as a means to contribute to successful transitions to co-management of marine reserves and small-scale fisheries. Our results provide more precise guidance, through social network analysis, on where in the respective networks social capital and leadership may require support or enhancement, and thus on how to target interventions for greatest effect.

The literature on institutional fit is developing rapidly within the broader discourse on sustainability which has resulted in a diverse, but sometimes inconsistent program of research. Therefore we review the recent literature on the fit between institutions and social–ecological systems to identify three general types of fit: namely, ecological fit, social fit and social–ecological system fit. Each of these draws attention to different dimensions of social–ecological systems, with their own unique set of evaluative criteria. Although diversity is generally beneficial for the production of knowledge, it can also pose immense challenges as scholars and practitioners seek to build theoretically rigorous and practically useful knowledge concerning the sustainability of social–ecological systems. Therefore we present a typology which defines and summarizes the three major types of fit and can be used to organize and advance systematic theoretical and policy relevant inquiry.

As the extent and intensity of human impacts on ecosystems increase and the capacity of ecosystems to absorb these impacts dwindles, unanticipated behavior in ecological systems—or surprises —is likely to become more common. The concept of ecological surprise is broadly applied but seldom explicitly developed in ecological literature, and ecologists can employ diverging language, frameworks, and interpretations of surprise. Here, we synthesize what ecological surprise has meant to ecologists studying these events and review the development and use of the concept in ecology. We define ecological surprise as a situation where human expectations or predictions of natural system behavior deviate from observed ecosystem behavior. This can occur when people (1) fail to anticipate change in ecosystems; (2) fail to influence ecosystem behavior as intended; or (3) discover something about an ecosystem that runs counter to accepted knowledge. We develop a conceptual model that captures the interactions between social and ecological processes that lead to these events and examine two types of drivers that contribute to surprise: underlying driving forces and proximate causes. Our definition of ecological surprise inherently acknowledges that, to be surprising, there must be human observers to the ecological occurrence who have expectations about ecosystem behavior. To explore this dimension, we draw on social science perspectives to understand the ways in which human expectations of ecosystems are influenced by social networks, heuristics, and mental models. We use a case study to demonstrate how our integrated conceptualization of ecological surprise provides a systematic way of examining these events. Our integration of these perspectives enables us to better synthesize social and ecological knowledge of these events, and encourages ecologists to critically reflect on how they, as scientists, formulate and reformulate expectations of ecosystem behavior.

This research examines perceptions of the linkages between ecosystem services (ES) and social wellbeing in a small-scale fishing community in Bluefields, Jamaica. It analyzes the perceived changes to these linkages based on the impacts of a marine protected area (MPA) on this coastal social-ecological system. MPAs can have positive long-term social and ecological effects, but in the short-term they can negatively impact communities, and careful attention to these impacts is needed to achieve positive conservation outcomes. We conducted 42 semi-structured interviews and six focus groups discussions with community members in Bluefields. Key findings from this research include: 1) the importance of provisioning (e.g., fish, lobster) and cultural ES (e.g., cultural heritage, bequest values) and their bundled qualities to both fishers and non-fishers; 2) the perceived impact of the MPA is highest for inshore fishers, while offshore fishers/non-fishers reported few/no negative impacts; and 3) inshore fishers perceive being more marginalized in governance processes, despite reporting the greatest negative change to ES access and social wellbeing from MPA implementation. The results suggest that governance processes for coastal conservation must acknowledge the individual and shared values of coastal areas and traditional livelihoods to achieve long-term legitimacy and support.

This mini-review outlines the emergence and benefit of applying a structurally explicit, social relational network perspective to inform the establishment and governance of marine protected area (MPAs) and MPA networks. This is an important conservation research and policy frontier. We draw on concepts from relational sociology and social network analysis to highlight the theoretical foundations of a social relational network perspective. Selected examples are used to: (1) illustrate the analytical utility and application of this network perspective to systematically examine attributes recognized as important for MPA establishment and governance; and (2) provide new insights on crucial practices and processes (e.g., knowledge exchange), core social attributes (e.g., social capital), and the roles and positions of diverse MPA actors.

Social networks are frequently cited as vital for facilitating successful adaptation and transformation in linked social-ecological systems to overcome pressing resource management challenges. Yet confusion remains over the precise nature of adaptation vs. transformation and the specific social network structures that facilitate these processes. Here, we adopt a network perspective to theorize a continuum of structural capacities in social-ecological systems that set the stage for effective adaptation and transformation. We begin by drawing on the resilience literature and the multilayered action situation to link processes of change in social-ecological systems to decision making across multiple layers of rules underpinning societal organization. We then present a framework that hypothesizes seven specific social-ecological network configurations that lay the structural foundation necessary for facilitating adaptation and transformation, given the type and magnitude of human action required. A key contribution of the framework is explicit consideration of how social networks relate to ecological structures and the particular environmental problem at hand. Of the seven configurations identified, three are linked to capacities conducive to adaptation and three to transformation, and one is hypothesized to be important for facilitating both processes. We discuss how our theoretical framework can be applied in practice by highlighting existing empirical examples from related environmental governance contexts. Further extension of our hypotheses, particularly as more data become available, can ultimately help guide the design of institutional arrangements to be more effective at dealing with change.

Social networks are frequently cited as vital for facilitating successful adaptation and transformation in linked social-ecological systems to overcome pressing resource management challenges. Yet confusion remains over the precise nature of adaptation versus transformation, and the specific social network structures that facilitate these processes. Here we adopt a network perspective to theorize a continuum of structural capacities in social-ecological systems that set the stage for effective adaptation and transformation. We begin by drawing on the resilience literature and the multilayered action situation to link processes of change in social-ecological systems to decision making across multiple layers of rules underpinning societal organization. We then present a framework that hypotheses seven specific social-ecological network configurations that lay the structural foundation necessary for facilitating adaptation and transformation, given the type and magnitude of human action required. A key contribution of the framework is explicit consideration of how social networks relate to ecological structures and the particular environmental problem at hand. Of the seven configurations identified, three are linked to capacities conducive for adaptation and three to transformation, while one is hypothesized to be important for facilitating both processes. We discuss how our theoretical framework can be applied in practice by highlighting existing empirical examples from related environmental governance contexts. Further extension of our hypotheses, particularly as more data become available, can ultimately help guide the design of institutional arrangements more effective at dealing with change.

Roff (2014) made the case that networks of marine protected areas (MPAs) suffer from a demonstrability dilemma. According to Roff (2014) this demonstrability dilemma concerns illustrating and measuring the ‘added value’ of networks of MPAs compared with stand-alone MPAs. He makes a number of important points regarding MPA networks including the current lack of data, the inconsistencies in how they are defined, the little consideration given thus far for evaluating their performance and outcomes, and the importance of proper documentation of their ‘added value’ (e.g. species range extensions and/or re-establishment). However, the demonstrability problem is not solely ecological, it is also about people and their interactions related to the planning and management of MPA networks – which brings us into the realm of governance. Accordingly, addressing this challenge requires moving beyond an ecological perspective. While an ecological perspective provides a great starting point, there is merit in taking a parallel social relational network perspective that builds upon the ecological network ideas outlined by Roff (2014). Identifying and examining the connections between individuals, organizations and agencies – i.e. governance networks – provide an entree to consider the social reality within which MPA networks are embedded. Accordingly, it is through these governance networks that decisions are made and actions implemented concerning MPA networks. A social relational network perspective includes a conceptual model, the accompanying theoretical assumptions, and its associated methodological toolbox (sensu Alexander and Armitage, 2014). This perspective is largely informed by relational sociology and social network analysis. Three theoretical assumptions are central to this social relational network perspective: (i) emphasis is placed on relations rather than personal attributes; (ii) analytical and theoretical emphasis is placed on examining networks rather than groups; and (iii) we can only understand specific relations or patterns of relations relative to their broader relational context (Alexander and Armitage, 2014). Consideration of the social connectivity associated with networks of MPAs faces a similar *Correspondence to: Steven M. Alexander, Department of Environment and Resource Studies, University of Waterloo, 200 University Avenue West, Waterloo, Ontario, Canada N2L 3G1. E-mail: s22alexa@uwaterloo.ca Response to: Editorial: ‘Networks of marine protected areas – the demonstrability dilemma’ By John C. Roff A group is defined here as a discretely bounded collective of individuals organized formally or informally.

1 The Center for Marine Resource Studies, The School for Field Studies, South Caicos, Turks and Caicos Islands, Department of Environment and Resource Studies, University of Waterloo, Waterloo, ON, Canada, Department of Integrative Biology, Oregon State University, Corvallis, OR, USA, 4 Environmental Defense Fund, Boston, MA, USA, 5 Environmental Sustainability Research Centre, College of Life and Natural Sciences, University of Derby, Derby, UK, Waitt Institute, Washington, DC, USA, Centro de Investigaciones de Ecosistemas Costeros, Ciego de Avila, Cuba, Department of Marine Resources, Ministry of Agriculture, Marine Resources and Local Government, Nassau, Bahamas, Centre for Resource Management and Environmental Studies, The University of the West Indies, St. Michael, Barbados

Adaptive management is an elegant concept. Structure management interventions and policies as experiments, monitor feedback, and make necessary adjustments. Yet, the implementation of adaptive management has often been difficult, and the outcomes unclear. We examine in this chapter six issues or concepts that emerge as central to ongoing efforts to advance the theory and practice of adaptive management of natural resources: (1) adopting a transdisciplinary perspective on adaptive management; (2) shifting from a natural resource management to social-ecological systems perspective; (3) situating adaptive management within a governance context; (4) surfacing the role of power in adaptive management processes; (5) engaging with knowledge co-production; and (6) exploring the role of adaptive management as a deliberative tool in support of social-ecological transformations.

Computer-based wargames have seen much improvement in recent years due to rapid increases in computing power. Because these games have been developed for the entertainment industry, most of these advances have centered on the graphics, sound, and user interfaces integrated into these wargames with less attention paid to the game's fidelity. However, for a wargame to be useful to the military, it must closely approximate as many of the elements of war as possible. Among the elements that are typically not modeled or are poorly modeled in nearly all military computer-based wargames are systematic effects, command and control, intelligence, morale, training, and other human and political factors. These aspects of war, with the possible exception of systematic effects, are individually modeled quite well in many board-based commercial wargames. The work described in this paper focuses on incorporating these elements from the board-based games into a computer-based wargame. This paper will also address the modeling and simulation of the systemic paralysis of an adversary that is implied by the concept of Effects Based Operations (EBO). Combining the fidelity of current commercial board wargames with the speed, ease of use, and advanced visualization of the computer can significantly improve the effectiveness of military decision making and education. Once in place, the process of converting board wargames concepts to computer wargames will allow the infusion of soft factors into military training and planning.

The control of the Unmanned Combat Air Vehicle's swarm behavior is studied. One command string controls the motion of all Unmanned Combat Air Vehicles in a mission. Each Unmanned Combat Air Vehicle moves according to the control decoded from the same control command string. There is no explicit coordination among them. However, the decoding of a control command string partially depends on other Unmanned Combat Air Vehicles surrounding it. If the control command string is properly chosen, the motion of the swarm of Unmanned Combat Air Vehicles will perform well collectively. Genetic algorithm is used to evolve the control command string. The robustness of the control is studied. Monte Carlo simulation in conjunction with Genetic Algorithm is used to evolve the robust control when wind-gust disturbance exists. The results of different approached are compared.

This report contains a summary of the work done on this effort over the past twelve months. Two projects were performed, one of which investigates the basic ideas of evolutionary programming (EP) techniques, the other is an attempt to apply EP to an air campaign simulation. The first project provided evidence that EP can find the ideal solution in a complex space. It also seemed to show that a faster convergence to a good solution may be obtained by keeping the various parameters involved in EP within certain limits. Although there was insufficient time to complete the second project, it did show that it is possible to use neural networks (NNs) to control a two-dimensional entity in two dimensional space, and that even randomly initialized (untrained) NNs can exhibit interesting behavior.

To be fully effective, combat simulation must include an intelligently interactive enemy... one that can be calibrated. But human operated combat simulations are uncalibratable, for we learn during the engagement, there's no average enemy, and we cannot replicate their culture/personality. Rule-based combat simulations (expert systems) are not interactive. They do not take advantage of unexpected mistakes, learn, innovate, and reflect the changing mission/situation. And it is presumed that the enemy does not have a copy of the rules, that the available experts are good enough, that they know why they did what they did, that their combat experience provides a sufficient sample and that we know how to combine the rules offered by differing experts. Indeed, expert systems become increasingly complex, costly to develop, and brittle. They have face validity but may be misleading. In contrast, intelligently interactive combat simulation is purpose- driven. Each player is given a well-defined mission, reference to the available weapons/platforms, their dynamics, and the sensed environment. Optimal tactics are discovered online and in real-time by simulating phenotypic evolution in fast time. The initial behaviors are generated randomly or include hints. The process then learns without instruction. The Valuated State Space Approach provides a convenient way to represent any purpose/mission. Evolutionary programming searches the domain of possible tactics in a highly efficient manner. Coupled together, these provide a basis for cruise missile mission planning, and for driving tank warfare simulation. This approach is now being explored to benefit Air Force simulations by a shell that can enhance the original simulation.

Meeting the objectives of sustainable fisheries management requires attention to the complex interactions between humans, institutions and ecosystems that give rise to fishery outcomes. Traditional approaches to studying fisheries often do not fully capture, nor focus on these complex interactions between people and ecosystems. Despite advances in the scope and scale of interactions encompassed by more holistic methods, for example ecosystem-based fisheries management approaches, no single method can adequately capture the complexity of human-nature interactions. Approaches that combine quantitative and qualitative analytical approaches are necessary to generate a deeper understanding of these interactions and illuminate pathways to address fisheries sustainability challenges. However, combining methods is inherently challenging and requires understanding multiple methods from different, often disciplinarily distinct origins, demanding reflexivity of the researchers involved. Social-ecological systems' research has a history of utilising combinations of methods across the social and ecological realms to account for spatial and temporal dynamics, uncertainty and feedbacks that are key components of fisheries. We describe several categories of analytical methods (statistical modelling, network analysis, dynamic modelling, qualitative analysis and controlled behavioural experiments) and highlight their applications in fisheries research, strengths and limitations, data needs and overall objectives. We then discuss important considerations of a methods portfolio development process, including reflexivity, epistemological and ontological concerns and illustrate these considerations via three case studies. We show that, by expanding their methods portfolios, researchers will be better equipped to study the complex interactions shaping fisheries and contribute to solutions for sustainable fisheries management.