DRAFT Making adaptive co-management more than a marriage of convenience: Reconciling theory and practice in the management of fisheries in the Mekong Region Robert Arthur, Ph.D. is a Natural Resource Management Scientist and Wetlands Alliance Programme coordinator for the WorldFish Center, Cambodia. Richard Friend, Ph.D. is the Fisheries Research Theme Leader of the M-POWER Research Network, Thailand. Melissa Marschke, Ph.D. is an Assistant Professor in the School of International Development and Global Studies, University of Ottawa, Canada. Abstract Our interest lies in the role of research in contributing to how small-scale fisheries in the Mekong region can be better managed and sustained to ensure that the needs and aspirations of the people associated with these fisheries are met. As elsewhere, fisheries in the Mekong region face a crisis of governance. Given this situation, adaptive co-management appears particularly appealing as a management mechanism since this approach emphasizes experimenting, adapting, learning and resilience (Armitage et al. 2008b). But what does adaptive co-management (ACM) mean for the practice of fisheries management within the Mekong region? We argue that in spite of its rhetoric, the underpinning current of ACM thinking remains an essentially managerial approach to development and resource management that takes the politics out of what we see as fundamentally challenges of governance and power sharing. Thus, we are proposing an approach to adaptive co-management that hinges on agency and learning – and are aware that even by proposing this kind of approach we are making a political statement of what resource management should be. This requires a new agenda, one in which contestation and struggle are recognised as a constructive and unavoidable part of the process rather than as external threats. If resource management change is to take place and if policy is meant to support people in working towards greater sustainability, a far greater emphasis need to be given to engaging in local processes and creating appropriate learning platforms. Perhaps the most important promise of adaptive co-management is its potential to create the conditions under which management is possible. Introduction The management of the Mekong region fisheries is at a critical juncture. Hugely important to local livelihoods and economies, their development potential is contested and has yet to be realised. Fisheries are widely portrayed as facing a number of threats, including over-fishing (Wong et al. 2007, Allan et al. 2005), environmental degradation (Salayo et al. 2008), hydropower and other such infrastructure development (Ringler and Cai 2006) and climate change (Ficke et al. 2007). Meanwhile, fisheries science and management is struggling to address these threats and, perhaps even more pressing, to demonstrate the significant developmental benefits arising from managed fisheries (Friend et al. in press). One response in dealing with such challenges is for fisheries researchers and managers to consider adaptive, multi-layered governance models that can potentially respond to such dynamics and be inclusive of fishers themselves in fisheries management. This explains, in part, why adaptive co-management is gaining in currency (e.g. Armitage et al. 2007; Armitage et al. 2008b). The objective of this paper is to examine the potential for adaptive co-management in the Mekong region. As researchers engaged in development practice, our work is in 1 understanding how the Mekong fisheries can best be managed in order to meet the needs and aspirations of the people associated with these fisheries. We have each been involved in fisheries management and policy research in the region for some time and have seen shifts in the types of management approaches that are recommended, with the latest focus, and one that we are involved in, being about realising the promise of adaptive co-management (e.g. Garaway and Arthur 2004; Armitage et al. 2008b). Thus, in this paper we consider the usefulness of a concept such as adaptive co-management in the context of the complex Mekong fisheries. Our paper begins with an explanation of the Mekong fishery, before considering the roots of adaptive co-management in the region. Specifically, we present a brief overview of adaptive management and co-management to better understand how adaptive comanagement emerged as a potential management option. We pay particular attention to what adaptive co-management is meant to do, and suggest that this approach runs the risk of being too managerial unless particular attention is paid to agency and learning within in the fisheries management process. We further argue that the most important promise of adaptive co-management is actually its potential to create the conditions under which management is possible. This article concludes with an analysis of the implications for undertaking adaptive co-management in the Mekong region and several recommendations for further research and deliberation. This research stems from our work with other academics on the idea of adaptive comanagement (Armitage et al. 2008b) and in thinking about the practical implications of this approach for fisheries management within the Mekong region. Our research drew on a combination of fieldwork, interviews with fisheries managers, an extensive literature review and our collective experiences working on natural resource management issues in the Mekong region. Fieldwork includes freshwater and coastal fisheries sites in Cambodia, Lao PDR, Thailand and Vietnam. This was supplemented with a synthesis of the trends found in fisheries management and an analysis of the potential for adaptive comanagement in the Mekong region. The Mekong region fisheries Fisheries of the Mekong region (Cambodia, Thailand, Lao PDR and Vietnam) - inland and coastal, wild and culture based - are important socially and economically (Baird 1996, Warren 2000, Ringler and Cai 2006; Salayo et al. 2008). For example, the overall production of the Mekong capture fisheries is cited as being between 2 and 2.5 million tonnes per year, with an estimated value of US$ 2 billion (MRC 2007). This is said to constitute 2% of total global fish production and 17% of total global inland fisheries production (Baran et al. 2006). In addition to the fisheries based on the main channel of the Mekong River, and the larger, more visible examples such as Tonle Sap, there is a great diversity and diffusion of small-scale fisheries in ponds, streams and rice fields (Gregory and Guttman 1996), as well as to small-scale yet productive upland fisheries (e.g. Degen et al. 2005). Aquatic resources from the fisheries systems of the Mekong region are central to nutrition and food security, contributing between 27 and 78% of animal protein in rural diets across the Mekong basin (Hortle and Bush 2003, Meusch et 2 al. 2003). Fisheries are also believed to be of particular importance to poor people partly due to their nature as common property resources, acting as a component of diversified livelihood strategies, and also as a safety-net and coping strategy (MRCS/WUP-FIN 2007). The fisheries systems of the Mekong region also carry significant ecological importance. The inland fisheries, for example, are based on a naturally highly variable system that includes a huge number of different species with different life-cycles, highly seasonal abundance, often migrating over large distances. From a purely biological perspective it is difficult to understand natural productivity. Added to the variability of natural systems (which are poorly understood) are the diverse ways in which people interact with the natural system. People fish in different ways, generally not in a regular uniform, full time ‘professional’ manner (Marschke and Berkes 2006). People also employ different gears, targeting a range of habitats, with different levels of intensity at different times of the year (e.g. Deap et al. 2003). As such, the fisheries of the Mekong region represent ‘complex’ systems of dynamic, interlinked social and bio-physical elements across a range of scales, characterised by contested values and interests, in which policy decisions need to be made on limited information and the stakes are high (c.f. Funtowicz and Ravetz 2003; van der Sluijs 2006; Verweij and Thompson 2006; Ramalingam et al. 2008). This being noted, fisheries management in the Mekong region is characterised by a somewhat paradoxical combination of state absence and ineffectiveness, with efforts at state command and control (Sneddon 2007). These efforts are hampered by notoriously weak environmental governance and hierarchical social and political structures that provide little space for change (c.f. Ascher 2001; Blunt and Turner 2005). What is more, we often see a general incompatibility of state interests and local interests and situations where access to and control over natural resources has been, and remains, highly contested (Sneddon 2007). The main fisheries management approaches applied across the four Mekong countries has been based on approaches towards conservation of stocks in order to maintain production. There are only limited specific examples of the state adopting a rent-seeking approach, and these are generally confined to the larger market oriented fisheries found in the Tonle Sap and coastal fisheries. For many fisheries the approach has been based on policy and legislation that has placed restrictions on gears through licences and prohibitions, combined with the establishment of blanket closed seasons that broadly correspond with breeding and spawning seasons. However, enforcement of such policies has been highly variable, and in most cases ineffective, often causing tensions between state agents and local fishers. Within this system there appears to be significant space for political influence to determine access and control over resources (Sneddon 2007). Thus, there is a growing recognition that state-led approaches, represented in its simplest form as a combination of conservation objectives with policing approaches, have failed in either protecting fishery resources or generating a shared interest in fisheries management among fishers and the state. This acceptance of the failure of state-led approaches has 3 also been driven by financial, personnel and institutional constraints, including that fisheries departments have sometimes themselves sought control over resources. This reality of multiple, contested agendas within fisheries departments has created internal tensions and influenced resource management outcomes. As a result, there has been an increasing interest by fishers, some state officials and NGO activists in alternatives to state-driven approaches. There have been a number of initiatives to support communitybased management and co-management, each with various degrees of success (e.g. Fennell et al., 2008; Baird 2000), and most recently there appears to be an interest in the idea of adaptive co-management for fisheries management. The emergence of co-management and of adaptive management Adaptive co-management has emerged from two strands of natural resource management thinking: co-management and adaptive management (Armitage et al. 2008b). Comanagement is concerned with issues of sharing rights and responsibilities whereas adaptive management is driven by the recognition of the uncertainty that is inherent in natural systems and the need for management approaches that can deal with this. Thus this merger – driven to a large extent by natural resource management thinking rather than development studies or public administration – is a response to the challenges of managing complex and dynamic natural resource systems. Let us examine each concept in turn before a further consideration of adaptive co-management. Co-management emerged as people-centered response to Hardin’s (1968) ‘tragedy of the commons’ and to the failure of centralised ‘command and control’ approaches in resource management (Berkes 2006). Much of this thinking stems from research in the area of common pool resources (e.g., McCay and Acheson 1987; Ostrom 1990; Oakerson 1992). Commons scholars have examined governance arrangements in diverse resource systems with multiple user groups often at a local scale, but also at regional and global scales (Ostrom et al. 2002; Dietz et al. 2003). The emphasis on rules of access, exclusion and subtractability, and the identification of design principles or enabling conditions for the management of common pool resources are major contributions (Ostrom 1990; Baland and Platteau 1996; Agrawal 2002). Theories for commons governance have continued to evolve (c.f. Armitage 2008), including the area of co-management (e.g., Pinkerton 1989; Pomeroy et al. 2001). Comanagement is an institutional form that encourages a multi-level perspective and involves sharing the rights and responsibilities for a particular resource among several actors, usually involving some configuration of the state, resource users and civil society (Pinkerton 1992; Armitage 2008). What is common across definitions of co-management are the notions of shared responsibility and authority for decision making in the management of natural resources (McCay and Acheson 1987; Sen and Nielsen 1996; Pinkerton 1992; Berkes et al., 2001; Borrini-Feyerabend et al. 2007). This body of thinking arose as a critique of the state’s ability to understand and manage complex common pool resources on its own while recognising the knowledge, skills and rights of local resource users in terms of managing their own natural resources (Ostrom et al., 1999). 4 Co-management arrangements do vary across settings. For example, the subject of management could be a single resource, such as a catfish stock, or multiple resources, such as those found within a marine protected area or reservoir. For fisheries managers, co-management offers a management approach (or principles) that can potentially be viable under a variety of conditions (e.g., political, social, cultural, economic, biophysical and technological). Thus, co-management may represent a less prescriptive approach for fisheries management than those that have previously been seen in the Mekong region in terms of approaches to resource management and institutional arrangements. By the late 1990s, co-management approaches gained in currency in the Mekong region. In part, this was because co-management was an attractive option given that fisheries departments tended to be weak, poorly resourced, and the ‘messy’ institutional settings in which management institutions may exist de facto within ‘communities’. While some of the motivation is to take an ‘asset based’ approach that builds on these local institutions and capabilities (Beck and Nesmith 2001), there is also undoubtedly attraction towards transferring the responsibility and the costs of management, what Hara (2004) refers to as ‘instrumental co-management’. This fits in with the wider critique of decentralisation processes in the region (c.f. Blunt and Turner 2005; Hughes 2006; Turner 2006). As a result there is now a rhetorical policy commitment to community and comanagement of fisheries across all four Mekong countries, endorsed and promoted by the state, and intergovernmental organisations such as FAO and SEAFDEC, local NGOs (e.g., CBNRM LI) and academic-practioners (e.g., Pomeroy and Guieb 2005). This process of community-state partnerships around fisheries management is given various names i.e., community fisheries, community based natural resource management, comanagement or, in a few cases, adaptive co-management (Garaway and Arthur 2004; Marschke and Berkes, 2006; Resurreccion, 2006, Fennell et al. 2008). These terms tend to be used rather loosely, with some programs emphasising a strong governmental presence and others advocating for mostly community involvement. In practice, perhaps because of the less prescriptive nature of the approach, the terms ‘co-management’ and ‘community-based management’ can be unclear, and their application vague (e.g. Pinkerton 2003). Whilst co-management was emerging from failures of centralised management, the literature on adaptive management was emerging in recognition of the challenges created by the complex, dynamic and uncertain contexts in which natural resource management takes place and the rigidity of state institutions in place to manage these. If not embraced, these uncertainties can lead to what Charles (2001) describes as the “illusion of certainty” and “fallacy of controllability” and unexpected, and often undesirable, outcomes (Ascher 2001; Lorenzen and Garaway 1998). Since the 1970’s adaptive management has been advocated in situations where management of complex systems must proceed despite uncertainties and difficulties in predicting the results of management actions (e.g. Holling 1987; Walters 1986). Adaptive management can potentially address such acknowledged uncertainties and enable appropriate policies and management strategies to be identified (Gunderson et al. 1995; 5 Lee 1993; Holling 1987; Walters 1986). In its earliest form, adaptive management treated policy and management as an experimental process with actions developed to test alternative hypotheses aimed at reducing key uncertainties that have been identified. In this way management can be specifically used to learn more about the resource system at the same time as it is being managed, with management actions subsequently being refined based on this learning. This experimentation may be of two types, both based on contrasting variation in management actions, either temporally or spatially. These are passive experimentation, where the focus is on contrasting existing variation in the system such as spatial differences in management, and active experimentation, where variation is deliberately introduced into the system (Walters 1986). In both cases experimentation is led by scientists and experts who construct the hypotheses that are tested and present these results to decision makers. Worth noting, most examples of adaptive management stem from the developed world in which governance mechanisms are in place to allow for such dialogue among stakeholders and where such mechanisms as independent public enquiries and expert panels are well established (e.g. Sainsbury 1988; McAllister et al. 1992). Over the past three decades the definition of adaptive management has shifted becoming less explicitly focused on experimentation (e.g. Walters 1986; Hilborn and Walters 1992) and towards more of an iterative ‘learning’ or ‘learning-by-doing’ approach (e.g. Colfer 2005; Ruitenbeek and Cartier 2001). Ruitenbeck and Cartier (2001: 8), for example, define adaptive co-management as “…a long-term management structure that permits stakeholders to share management responsibility within a specific system of natural resources, and to learn from their actions” whereas Folke (2006) suggests the approach is a process by which institutional arrangements and ecological knowledge are tested and revised in a dynamic, self-organising process of learning-by-doing. This shift towards learning identifies the willingness of concerned stakeholders to come together in some form of dialogue as an important aspect of management approaches. Perhaps through recognising the difficulties and challenges of an explicitly experimental approach implemented in a top down manner (e.g. Walters 2007), there is growing interest in participatory approaches and learning in particular. One critique of this new found emphasis on learning is that learning appears to be apolitical whereas learning is neither value free nor apolitical (Armitage et al. 2008a). Moreover, coming together to 'learn' is assumed to occur through a sense of shared interest rather than through conflict which is often the case when dealing with fisheries resources. Within the Mekong region, adaptive management has not been heavily promoted. While examples do exist of scientists, government managers and fishers working together on a specific fisheries issues (e.g., Arthur 2004), these are few and far between. This is partially because few government scientists have adopted this approach, as it is time consuming and requires a strong commitment to fieldwork. The 'field' is often far from provincial centers and in some of the more marginalised areas in the region. Moreover, there are so many fisheries contexts that government scientists and state officials need to 6 be willing to embrace what they do not know, and to draw on local knowledge. This presents its own challenges. The promise of adaptive co-management Adaptive co-management is a new term that brings together strands of thinking from the co-management literature and the adaptive management literature to include elements of shared management authority and iterative learning (Armitage et al 2008b). Adaptive comanagement is described as “an emergent and self-organising process facilitated by rules and incentives of higher levels, with the potential to foster more robust social-ecological systems” (Res. Alliance 2008). Key features of adaptive co-management include: (a) learning-by-doing; (b) synthesis of different knowledge systems; collaboration and power sharing; (d) management flexibility. Although definitions of adaptive co-management vary, embedded in this concept are ideas of collaboration and learning (Armitage et al. 2008a; Olsson et al. 2004). In the context of the Mekong region, this approach holds an appeal within the fisheries management, scientific and research communities, partly because of the complexity of the fisheries, the diverse range of stakeholders and the often unexpected outcomes from previous fisheries policies and practices (Lorenzen and Garaway 1998; Marschke and Nong 2003; Fennell et al. 2008). Adaptive co-management is proposed as a long-term approach, engaging actors associated with a resource management process in joint learning-by-doing across both scale and level (e.g. Armitage et al. 2008b; Berkes et al. 2007; Lebel et al. 2005; Garaway and Arthur 2004). This is presented as a way of harnessing all available assets to learn and adapt (Armitage et al. 2007). Rather than being focused on optimisation or a particular target, learning becomes a platform for developing ‘adaptive capacity’ and ‘resilience’ (e.g. Walker et al. 2004), assuming that good policy and more appropriate management outcomes will result. Both the management and learning processes may take on different forms according to the specific policy and management context (Armitage et al. 2008a; Garaway and Arthur 2004; Borrini-Feyerabend et al. 2007). Because it is contextually dependent, similarly to what is described in the co-management and the adaptive management literature, the resulting adaptive co-management will look different according to the context in which it is in practice. While this is not necessarily problematic, there is a significant risk that it becomes much more difficult to say what adaptive co-management is and what it is not. We are concerned that adaptive co-management is in danger of becoming what Cornwall (2007) terms a ‘buzzword and fuzzword’. Cornwall (2007: 472) aptly notes that “development’s buzzwords gain their purchase and power through their vague and euphemistic qualities, their capacity to embrace the multitude of possible meanings, and their normative resonance”. The core terms – of co-management and adaptive – and the focus – resilience and adaptive capacity - are intuitively appealing, and it is difficult to be against any of these things. In other words, it is difficult to place the sanctity of this goal beyond reproach (Cornwall 2007). However this appeal, together with the difficulty in being able to define any of these 7 terms in a way that helps in practice, also means that much of what is suggested as the promise of adaptive co-management may be left unfulfilled (c.f. Brand and Jax 2007). This is a particular issue in the current context of fisheries in the Mekong region where the fisheries have such a high importance and where there is widespread concern about fisheries management, governance and the developmental contribution of fisheries. Although adaptive co-management has appeared extensively in the literature of researchbased institutions, it is only now beginning to enter the discourse and into guidelines of fisheries managers. Perhaps it is not surprising that adaptation and resilience are currently in vogue, as these emerging buzzwords fit with concerns over the effects of humans’ impacts on the natural world and the shocks and stresses these produce, perhaps typified by shifts away from mitigation in dealing with climate change. Co-management (and now adaptive comanagement) of natural resources, too, resonates in a particular way, especially with the agendas of decentralisation and devolution. Buzzword or not, an area that is often missed is the politics of resource governance (Walker 2007), as much of the management literature has tended to focus on the practice of management (e.g. Andrew et al. 2007). As a result, we argue, underpinning much of the current adaptive co-management thinking is an essentially managerial approach to development and resource management that downplays the political (and historically situated) dimensions of what we see as fundamental challenges of governance and power. If this is how adaptive comanagement is carried out on the ground, then it is debatable how different this approach really is as compared with the classic ‘command and control’ management methods. Ironically, by focusing on concepts of learning as a central tenant within adaptive comanagement the political dimensions of fisheries management and the underlying conflicts can be obscured. No doubt, there are many issues and challenges associated with learning in complex fisheries systems. Learning, as it is currently discussed in the resource management literature, is vague, unclear and does not recognise the challenges of bringing mulitple stakeholders with a vested, often entrenched interest in the fishery together (Armitage et al. 2008a). Thus, explicit attention to learning in adaptive co-management represents a necessary evolution if expected social, economic and ecological benefits are to be realised (Armitage et al. 2008a). Learning is inextricably linked to the development of relationships among the actors that constitute a particular management arrangement. Although Armitage et al. (2008b) do recognise power asymmetries, there remains a considerable gulf between the adaptive co-management literature and the literature on power in the social sciences (Nadasdy 2007). As a result, key questions that are asked in the social sciences are not being asked in the fisheries sector, namely: whose interests are being served by a certain set of arrangements, or a certain goal or goals (Wiber 2007). For example, while proponents of adaptive co-management are critical of top-down, state-led management (c.f. Berkes 2006; Armitage et al. 2008b), there appears to be little analysis of context within this literature. Without an explicit and careful attention to how adaptive co-management may fit within pre-existing patterns of social, political, 8 economic, and cultural interactions, there is a risk of inadvertently overlooking how new ‘co’ types of institutional arrangements that are proposed may perpetuate older, socially exploitative and environmentally deleterious patterns. Moreover, attention to the formal and informal connections which at once shape, and are an outcome of, power relations is necessary. With regards to the practice of community-based management, co-management, adaptive management or adaptive co-management (these ideas do blur together in practice), with the exception of a few papers focusing on resource management committee practices, analysis appears to be geared towards endorsing policy reforms or critiquing such reforms often using data gathered from short field visits, or consists of ‘quick and dirty’ evaluations (Fennell et al. 2007). What is never questioned is if this type of policy approach, as practiced, could ever really support local resource management needs, or how to create a supportive environment to ensure that policy is reflexive and pertinent to ever-changing local contexts. Managerialism: a real issue for fisheries management Taking a managerial approach towards fisheries management is problematic since this takes the problems of development policy as accidents or as the results of poor policy and practice, rather than considering them in their full historical and political context. Thus poverty and environmental degradation are presented as technocratic challenges rather than political challenges, and are placed outside of their structural context. As a result, complexity is simplified to a ‘manageable’ degree, applying a management, problem solving discourse to the framing of the problem, identifying solutions and legitimising specific actors. Within this approach, as we see it in the fisheries world, there are critical assumptions about the linkages between policy, research and practice. The way in which research influences policy outcomes has often been founded on a notion of a ‘plausible promise’, i.e. that good scientific information leads to better policy and practice outcomes. This manifests itself in fisheries management in simple assumptions that the role of research in fisheries management and policy is diagnosis, assessment and monitoring and making policy recommendations for ‘decision makers’ to implement. This is a linear model that denies the true complexity of policy processes, and that does not acknowledge ways in which policy is contested, even within organisations themselves, and the extent to which outcomes are ultimately unpredictable. For the scientific community, adopting a linear model of policy change, the problem becomes one of an information gap to be filled by scientific facts to be generated by scientists and experts (Brock 2002). Science and policy becomes biased towards ‘puzzlesolving’, offering simple solutions and models that, it is suggested, will generate successful outcomes for what are actually complex and multi dimensional issues (e.g. Verweij et al. 2006; Ackoff 1974). The role of research, institutions, participation and empowerment are seen as instrumental and considered as a means to an end of improved policy outcomes (e.g. Barnett 2008). And the workings and practice of science and the construction of scientific truth are taken at face value, and outside of its own social and 9 political context. Given the significance of claims to scientific truth and neutrality for legitimising policy actors and actions, there is a need for a more reflective look at how science and research operate within these areas. The managerial approach to fisheries and role of research within it lacks a meaningful conceptual framework for dealing with social or institutional change. This reinforces notions of the supremacy of science and of experts, without adequate consideration of the contested nature of development management and policy. This linear model of policy and of science does not stand up to closer scrutiny and indeed there is frustration that recommendations are not taken up by the decision makers in the way that they should. However, much of this frustration is aimed at the perceived failings of the policy and management institutions (e.g. Walters 2007; Christie et al. 2006) and the weakness of scientists in communicating with policy makers rather than something more fundamentally wrong with the approach itself. Challenging the assumptions about the approach is no trivial matter. Many of the key assumptions are contained within persuasive and persistent discourses about both the nature of research and the fishery that perpetuate these assumptions and that are rarely subject to critical review (e.g. Friend et al. in press). While managerial approaches have their place, they make less sense in the sorts of complex, messy and highly politicised contexts that characterise so many of the Mekong fisheries. In this sort of situation development challenges, contested spaces, and power struggles within and between stakeholder groups cannot be resolved simply through negotiation, facilitation and improving communication to result in socially just predictable outcomes (e.g. Wollenberg et al. 2007; Ascher 2001). In these situations, there is no way that they are going to work in the ways in which they were intended. Even so, we see that these sorts of approaches are being suggested as a means to manage complex natural systems (e.g. Rammel et al. 2007; Utne 2006). We would argue that, from our experience in the context of fisheries management in the Mekong, managerial approaches to adaptive co-management and the linear role of science and research within it need to be re-examined. Fisheries face a crisis of governance not merely a crisis of management and addressing this means moving beyond formulaic approaches couched in the politically neutral language of management and science. In addition to often idealising how policy and management processes function, as well as the capacity to use information within them in the intended way (e.g. Christie et al. 2006), the focus on diagnosis and recommendations is too limited. Not only does the diagnosis typically fail to fully account for the development context, including in particular the history and politics of a situation that can be so vital in enabling or preventing change, but this role results in outputs that are too descriptive. As a result, this helps us only to provide a snapshot of the current situation but not to account for or to encourage change. In rapidly changing systems such as fisheries in the Mekong there is the danger that such an analysis and the recommendations that it produces, once completed, will already be out of date. This linear model of information to policy change has been heavily criticised in policy- 10 related disciplines (e.g. Court et al. 2005; van der Sluijs 2006; Shore and Wright 1997).Yet there has been little introspection among the fisheries science community of the role of science and agency of scientists, with some notable exceptions (Wilson XXXX). Many of the research projects that have operated with a stated objective of influencing policy, have been unaware of the policy and institutional contexts in which they have been operating or of what policy itself is (Friend 2002). While there has been considerable scientific research undertaken on fisheries (and in particular the fish) in the Mekong, scientists have rarely braved the murky waters of policy arenas and institutional functioning. Taking on board the discourse of adaptive co-management we feel requires us to do so. Despite the recognition of messiness and complexity in fisheries as social-ecological systems (Armitage et al. 2008b; Andrew et al. 2007), there is little corresponding recognition of such messiness and complexity in detailing how science should engage in order to have influence. We still fall back on managerial approaches and their attendant tool kits, methods, and preconditions – as if the ‘problems’ of management and policy are accidents of policy, or the result of perturbations. For example, one feature common to adaptive co-management (e.g. Armitage et al. 2008b); co-management theory (e.g. Pomeroy et al. 2001) and common property theory (e.g. Ostrom 1990; Argawal 2002, is the existence of conditions for success required to achieve successful outcomes. Within the diverse set of fisheries in the Mekong region there do exist a number of discrete fisheries that meet the conditions of collective action and adaptive co-management: within these cases it has been possible to implement forms of adaptive co-management (Arthur 2004; Marschke and Nong 2003; Garaway and Arthur 2002). However these examples are far from representative of the majority of fisheries in the Mekong region. Much more common are the complex fisheries described in the introduction that do not meet such conditions. That is, in the Mekong region rather few ‘conditions for successful co-management’ exist at this point. For example, one condition for success is having a well-defined resource system. This is nearly impossible given the mobility of aquatic species. Likewise, a context in which ‘participants share and draw on a plurality of knowledge’ is difficult to create given the often hierarchical nature of relationships within the Mekong region. Creating situations where power relations are explicitly dealt with and local and scientific knowledge is combined is both time-consuming and difficult (Arthur and Garaway 2006). Does this mean then that adaptive co-management is not appropriate to such situations? After all, Armitage et al. (2008b) have recognised that adaptive co-management is not a governance panacaea and will not be appropriate in all cases, and Borrini-Feyerabend et al. (2007) note that under some conditions co-management and sharing power will fail. Well, we hope not, and we would argue that, for us, in our context, with the importance of the fisheries and with so many of the fisheries of the Mekong region not meeting these criteria, the most important promise of adaptive co-management is actually its potential to create the conditions under which management is possible. Shifting the goalposts of adaptive co-management 11 A major challenge for adaptive co-management is to consider the role for science and research that emphasises the ‘adaptive’ and ‘co’ elements as compared to the management aspect. This requires a new research and development agenda: an agenda that recognises management as a governance challenge and therefore political, about power and in which contestation and struggles are recognised and seen as a constructive and unavoidable part of the process, rather than as external threats. This agenda needs to also accept that in a complex context characterised by non-linear dynamics, linear models of research to policy may not be adequate or appropriate (). For us, working in a development context, we recognise that the purpose of adaptive comanagement is change through learning and in determining who does what, yet we have found few good discussions regarding our role as researchers within the adaptive comanagement process. This is surprising considering that one implication of taking on board the discourse of adaptive co-management is that researchers are players in the process, and also required to be adaptive. Moreover, research cannot just be research as usual rather that we need to explore new roles (e.g. Wollenberg et al. 2007; Arthur and Garaway 2006). What attracted us to notions of adaptive co-management is that the concept is intuitively appealing, implying a recognition of messiness and complexity, highlighting unpredictable outcomes of planned interventions – and that people can potentially influence change (i.e., agency). However as a practical approach it still remains fairly poorly defined (e.g. Andrew et al. 2007). We want to revitalize this concept of adaptive co-management by reframing what the role of science and scientists can be in generating change. In doing so we will highlight the role of people as ‘agents of change’ (c.f. Friere 1971) or even ‘drivers of change’ (c.f. Garaway 2001), recognising that it is not just the external environment that drives change. In fact, following Stacey (2002), Stacey (2003) and Ascher (2001) we consider that change manifests itself at the local level and that this is where we see the impact of interactions with the environment and with institutions and policies. Hence we are drawn to the crucial aspects of agency, knowledge and power in management. In complex systems like the fisheries of the Mekong we have found a positive role for research and learning that is not about describing and understanding stakeholders and institutions (c.f. Andrew et al. 2007) and providing expert advice, but is, instead, about research as a transformative process. Research is not limited to providing answers to specific questions, but the whole process of questioning, testing ideas and practice, review and analysis that is so crucial to meeting the key elements of co-management, i.e adaptive (reflection and change) and co-management (roles and responsibilities, authority and power). However we do not see this as necessarily being a means to address conflict and achieve “co-evolution of stakeholder preferences”, shared goals and compromise decisions (c.f. Rammel et al. 2007). It is important to avoid the temptation to try to ‘fix’ the system. We need to accept it is, and will continue to be, a complex and messy context in which our understanding and 12 influence is limited. We believe that the emphasis should be on responsive, flexible and non-linear research processes that are about finding ‘clumsy solutions’, emergent innovation and ‘muddling through’ (c.f. Wollenberg 2007; Verweij and Thompson 2006; Stacey 2003; McCay 2002). People are able to ‘participate’ in different stages of research, but they do so actively and with agency, for different purposes, and with different outcomes – and with different insights. This is not always a happy straightforward process, nor is it entirely predictable – there is often conflict – but when dealing with inequitable power relations there will be some element of conflict. This aspect of agency is a crucial one. Actors are capable, even within severely restricted social spaces, of formulating decisions, acting upon them, and innovating or experimenting’ (Long p.25) as well as in interpreting policies and even resisting them. This is an important shift from managerial attitudes that tend to characterise these actors as passive recipients (c.f. Bartlett 2008). In addition we have also recognised our own agency. Even as ‘scientists’ or ‘researchers’ we are not neutral or without our own agendas and nor will the conclusions from our work not suffer also from interpretation (c.f. Yearley 1998). Following on from this, while the importance of institutions in adaptive co-management has been highlighted (e.g. Armitage et al. 2008b), the creation and development of institutions needs to be recognised itself as a political process in which individual actors will often work to advance their own cause and in which the outcomes will reflect the political influence of those involved (e.g. Arce and Fisher 2007; Young 2002). The same will be true of the relationships within alliances and networks (e.g. Gill and Butler 2003). People, as actors with agency, therefore come to be at the centre of an adaptive co-management approach. In each of our experiences we found that the research process became increasingly engaged with local people and their needs and aspirations and evolved, becoming something different over time. The shifting spaces – institutional and discursive – that this engagement produces creates new interfaces, opportunities and fault lines for change. Getting actors at these interfaces involved in doing ‘research’ not merely describing institutional linkages itself creates new spaces, and changes the quality of these relationships. We would argue that adaptive co-management needs to engage at these interfaces and using a process of ‘research’ (asking questions, testing hypotheses, experimenting, reflecting) in order to create opportunities for social change. Through this the nature of research is changed, and so does what it means to be a ‘researcher’. No doubt, there are challenges for doing so in the Mekong as governance and policy processes lack transparency and accountability, and scientific knowledge is intimately linked to state power in development and natural resource management. Within this region, elements of democracy appear to mix with authoritarian and traditional practices, such as a lack of rule of law and widespread patronage (Hughes 2006). Thus, we need to think through more critically what the role of science and research should be and how the process of science research can broaden the policy arena to allow for mediating conflict in order to meet the expectations of adaptive co-management. This is of critical importance as we work in a context where fishers are already marginalised in policy processes, and where poor fishers are the most marginal of the marginalised. 13 We are not saying that this approach is straightforward. In our Mekong context this process is indeed challenging. We recognise the political dimension of what we are putting forward. The superior knowledge of the state is often key to its legitimacy particularly when dealing face to face with rural constituents. Some actors can be expected to actively fight against the kind of engagement we are proposing as it challenges their role as expert. Where rural people are often illiterate, with limited formal education, the notion of dialogue and sharing does not make sense unless people are equipped. The authority of the expert is rarely challenged even when it is clearly wrong. We would argue, from our experience, that engaged, participatory research processes can broaden the policy arena, allowing different voices to be legitimately heard, counterbalancing this authority and expertise in order to be both adaptive, and for management to be truly a process of co-management. Conclusions Given the potential popularity of this approach among development agencies (bi-lateral and multi-lateral), researchers, government and non-governmental organisations, greater specificity and clarity concerning the meanings and outcomes ascribed to research-policy interfaces, learning, power and agency is necessary. So what does this mean for us as scientists/researchers engaged in promoting adaptive co-management? The recent attention on adaptive co-management as a potential model for resource governance has provided us with a useful and timely opportunity to stop and reflect on the way that fisheries management has been approached in the Mekong Region. Importantly, this enabled us to consider the implications of the development of adaptive co-management as an approach to manage complex Mekong fisheries systems. Thus, we offer a number of conclusions in this regard. Firstly, we have realised that the focus of much of the practical implementation has emphasised steps in implementation and far less discussion on roles of us as researchers. Lessons-learned, frameworks, guidelines, tool kits however useful are not enough for this kind of approach because, despite our best intentions, this can easily lead the nascent practitioner towards a managerial approach to implementation, the very thing we suggest we should be seeking to avoid. This is all the more important because we do not yet really know what works, partly because is so little written on co-management and participatory research outside of projectised implementation. Secondly, we need to be engaged not just in promoting adaptive co-management within the scientific and policy communities or using it as a lens through which to view and interpret our work, but also engaged in experiments in social change, with research itself acting as a transformative process (political and reflexive), self-aware of our role and motivations – open to critical review from the ‘intended beneficiaries’ – not neutral experts standing outside the system and process. Where our experiences have led us is to something similar to ‘‘post-normal science’’ (Funtowicz and Ravetz, 1991). Explicitly non-linear science and research in which science is recogised as value laden and where the focus is on an inclusive process of generating knowledge and learning rather than on 14 finding solutions or recommendations (Frame and Brown 2008; Ramos-Martin 2003). Engaging in this sort of self-aware transformative process frames the kinds of questions we should be asking, and the kinds of things we should be doing. As a result we should be more critical of the assumptions, arguments and discourses that shape policy approaches as a result, building on recent work addressing policy (Johnson 2006, Roe 1991, Verweij et al. 2006, Shore and Wright 1997, Hajer and Versteeg 2005). Thirdly, there is a relative absence of critical reflection on the elements of adaptive comanagements potentially progressive program. Are its foundational concepts such as resilience and learning sufficiently elaborated so as to really stimulate new dynamic social arrangements (Wiber 2007; Brand and Jax 2007)? The risk of not reflecting on this approach is that adaptive co-management will merely re-enforce status quo arrangements that continue to undermine human ecology rather than challenge them. Fourthly, we need to be careful of jumping onto a fuzzword bandwagon. Adaptive comanagement seems to provide an answer to the rigidity of co-management structures and a response to past failings, but it can also be a smokescreen for things we do when we’re not sure what is we are doing. For both the research and development communities it can become a justification for further experimentation in contexts that are poorly understood, and where outcomes of practice are uncertain and unpredictable. If our emphasis is on transformative, reflective (therefore transparent and accountable) social processes – and we recognise the big obstacle is power relations – then this is what we should be targeting, but being realistic, and probably less ambitious, about what can be achieved. If we don’t do this the risks are that we have a poorly defined approach that can only be implemented in specific cases, and even so, with unpredictable, and perhaps undesirable, outcomes. To conclude, our interest in adaptive co-management is in the specific context of developing countries, going through rapid change, in which access to and control over resources is at the heart of natural resources management, and which are themselves fundamental governance and political challenges. In this context we have found that, similarly to Eyben (2008), it makes sense for us to explicitly recognise agency (including knowledge and power), institutions and discourses and to frame adaptive co-management as a self-aware research process that is engaged at the interface between policy and practice at the local level. Reframed in this way, we suggest that adaptive co-management does have the potential to achieve some of this by providing both a means for people to engage in dialogue over complex issues, to learn and develop relationships and potential also for an exploration of the way in which science and researchers can support these dialogue processes. 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