Structure and management issues of the emerging ornamental fish trade in Eritrea

Following independence from Ethiopia in 1993, Eritrea resumed exploiting Red Sea and Arabian fish species for the ornamental trade in 1995 as a means to earn foreign exchange from sparsely exploited marine resources. This paper describes the findings of research conducted in 1997, in collaboration with the Eritrean Ministry of Fisheries. The capture, transport and export of aquarium fish were reviewed and potential impacts and the status of management were investigated through liaison with stakeholders and researchers. From 1995 to 1997 two companies exported approximately 60,000 fish per year, mainly to the USA, worth US$65,000 (export value). Seventyfive species (from 22 families) were exported. Damselfishes made up two-thirds of total exports but more valuable families (angelfishes and butterflyfishes) were more economically significant. To earn revenue for Eritrea, a 20% export tax was imposed, although this was calculated from declarations by the operators. The emerging nature of the trade allowed detailed monitoring by the Ministry of Fisheries. However, management efforts were constrained by a lack of capacity for enforcement and baseline research. Several potential effects of the trade exist but other, land-based impacts may be more pressing concerns for Eritrea’s reefs. Research priorities for management are discussed as well as the implications of mariculture of Eritrean species by other nations

A play of voices in marine conservation: Human experiences of fishery closures in Zanzibar

Based on stories written by Elizabeth (Liz) Drury O’Neill. These stories were directly taken from the research transcripts of OctoPINTS’ fieldwork in 2019. The stories were edited into a play by Tim Daw and Emilie Lindkvist. Kiswahili translation was made by Irene Musa and Andrew Wamukota. Layout and editing by Jineth Berrío-Marínez. Front page illustration by Krisztina Jónás. In English AND Kiswahili. This play script is an outcome of the OctoPINTS project https://octopints.wordpress.com/, a research project funded jointly by VR the Swedish Research Council, Sida the Swedish International Development Cooperation Agency, Formas the Swedish Research Council for Sustainable Development and Forte (Dnr 2018-05862). With additional support from the Stockholm Resilience Centre, the University of Dar es Salaam, and Pwani University. With huge thanks to Mwambao coastal community network, fieldwork hosts and collaborators

Money, use and experience: Identifying the mechanisms through which ecosystem services contribute to wellbeing in coastal Kenya and Mozambique

Despite extensive recent research elucidating the complex relationship between ecosystem services and human wellbeing, little work has sought to understand how ecosystem services contribute to wellbeing and poverty alleviation. This paper adopts concepts from the “Theory of Human Need” and the “Capability Approach” to both identify the multitude of links occurring between ecosystem services and wellbeing domains, and to understand the mechanisms through which ecosystem services contribute to wellbeing. Focus Group Discussions (N = 40) were carried out at 8 sites in Mozambique and Kenya to elicit how, why, and to what extent benefits derived from ecosystem services contribute to different wellbeing domains. Our results highlight three types of mechanisms through which ecosystem services contribute to wellbeing, monetary, use and experience. The consideration of these mechanisms can inform the development of interventions that aim to protect or improve flows of benefits to people. Firstly, interventions that support multiple types of mechanisms will likely support multiple domains of wellbeing. Secondly, overemphasising certain types of mechanism over others could lead to negative social feedbacks, threatening the future flows of ecosystem services. Finally, the three mechanism types are interlinked and can act synergistically to enhance the capacities of individuals to convert ecosystem services to wellbeing

Learning about social-ecological trade-offs

PublishedThis is the final version of the article. Available from Resilience Alliance via the DOI in this record.Trade-offs are manifestations of the complex dynamics in interdependent social-ecological systems. Addressing trade-offs involves challenges of perception due to the dynamics of interdependence. We outline the challenges associated with addressing trade-offs and analyze knowledge coproduction as a practice that may contribute to tackling trade-offs in social-ecological systems. We discuss this through a case study in coastal Kenya in which an iterative knowledge coproduction process was facilitated to reveal social-ecological trade-offs in the face of ecological and socioeconomic change. Representatives of communities, government, and NGOs attended two integrative workshops in which methods derived from systems thinking, dialogue, participatory modeling, and scenarios were applied to encourage participants to engage and evaluate trade-offs. Based on process observation and interviews with participants and scientists, our analysis suggests that this process lead to increased appreciation of interdependences and the way in which trade-offs emerge from complex dynamics of interdependent factors. The process seemed to provoke a reflection of knowledge assumptions and narratives, and management goals for the social-ecological system. We also discuss how stakeholders link these insights to their practices.The primary and secondary stakeholders of the Nyali Beach fishery in focus groups and workshops is gratefully acknowledged. Arthur Tuda, Sheila Heymans, Allister McGregor, and Raphaël Mathevet advised on the design of the project. This paper is a result of the project "Participatory Modelling Frameworks to Understand Well-being Trade-offs in Coastal Ecosystem Services" (P-mowtick) funded by the Ecosystem Services and Poverty Alleviation (ESPA) program (ref number: NE/I00324X/1) and received further support from K. Brown's ESRC Professorial Fellowship (RES-051-27-0263). The ESPA program is funded by the Department for International Development (DFID), the Economic and Social Research Council (ESRC), and the Natural Environment Research Council (NERC). Diego Galafassi also acknowledges the support of the Strategic Research Program EkoKlim at Stockholm University through the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (FORMAS)

Perceptions of trends in Seychelles artisanal trap fisheries: comparing catch monitoring, underwater visual census and fishers' knowledge

Fisheries scientists and managers are increasingly engaging with fishers' knowledge (FK) to provide novel information and improve the legitimacy of fisheries governance. Disputes between the perceptions of fishers and scientists can generate conflicts for governance, but can also be a source of new perspectives or understandings. This paper compares artisanal trap fishers' reported current catch rates with landings data and underwater visual census (UVC). Fishers' reports of contemporary 'normal' catch per day tended to be higher than recent median landings records. However, fishers' reports of 'normal' catch per trap were not significantly different from the median CPUE calculated from landings data, and reports of 'good' and 'poor' catch rates were indicative of variability observed in landings data. FK, landings and UVC data all gave different perspectives of trends over a ten-year period. Fishers' perceptions indicated greater declines than statistical models fitted to landings data, while UVC evidence for trends varied between sites and according to the fish assemblage considered. Divergence in trend perceptions may have resulted from differences in the spatial, temporal or taxonomic focus of each dataset. Fishers may have experienced and understood behavioural changes and increased fishing power, which may have obscured declines from landings data. Various psychological factors affect memory and recall, and may have affected these memory-based estimates of trends, while different assumptions underlying the analysis of both interview data and conventional scientific data could also have led to qualitatively different trend perceptions. Differing perspectives from these three data sources illustrate both the potential for 'cognitive conflicts' between stakeholders who do not rely on the same data sources, as well as the importance of multiple information sources to understand dynamics of fisheries. Collaborative investigation of such divergence may facilitate learning and improve fisheries governance

Risk, Unexpected Uncertainty, and Estimation Uncertainty: Bayesian Learning in Unstable Settings

Recently, evidence has emerged that humans approach learning using Bayesian updating rather than (model-free) reinforcement algorithms in a six-arm restless bandit problem. Here, we investigate what this implies for human appreciation of uncertainty. In our task, a Bayesian learner distinguishes three equally salient levels of uncertainty. First, the Bayesian perceives irreducible uncertainty or risk: even knowing the payoff probabilities of a given arm, the outcome remains uncertain. Second, there is (parameter) estimation uncertainty or ambiguity: payoff probabilities are unknown and need to be estimated. Third, the outcome probabilities of the arms change: the sudden jumps are referred to as unexpected uncertainty. We document how the three levels of uncertainty evolved during the course of our experiment and how it affected the learning rate. We then zoom in on estimation uncertainty, which has been suggested to be a driving force in exploration, in spite of evidence of widespread aversion to ambiguity. Our data corroborate the latter. We discuss neural evidence that foreshadowed the ability of humans to distinguish between the three levels of uncertainty. Finally, we investigate the boundaries of human capacity to implement Bayesian learning. We repeat the experiment with different instructions, reflecting varying levels of structural uncertainty. Under this fourth notion of uncertainty, choices were no better explained by Bayesian updating than by (model-free) reinforcement learning. Exit questionnaires revealed that participants remained unaware of the presence of unexpected uncertainty and failed to acquire the right model with which to implement Bayesian updating

Stories in social-ecological knowledge cocreation

Transformations in social-ecological systems to overturn poverty and ecosystem degradation require approaches to knowledge synthesis that are inclusive and open to creative innovation. We draw on interviews with participants and in-depth process observation of an iterative knowledge cocreation process in Kenya and Mozambique that brought together scientists, community representatives, government representatives, and practitioners who had expertise or experience in poverty and/or coastal natural resource use and management. We analyze the communicative spaces opened by techniques of system diagrams and future scenarios, and provide a rich account of the emergent process of developing a "shared conceptual repertoire" as a basis for effective communication and knowledge synthesis. Our results highlight the difficulties of challenging dominant narratives and the creative potential that exists in reflecting on their underpinning assumptions. In our analysis, stories and lived experiences emerged as key means shaping the construction of shared concepts and ideas. We conclude by outlining the implications of designing knowledge cocreation processes that support the task of devising systemic interventions that are robust for a range of future scenarios. This includes embracing the role of stories in generating shared meanings and opening up spaces for exploration of knowledge assumptions that are embedded in intervention narratives

Speed/Accuracy Trade-Off between the Habitual and the Goal-Directed Processes

Instrumental responses are hypothesized to be of two kinds: habitual and goal-directed, mediated by the sensorimotor and the associative cortico-basal ganglia circuits, respectively. The existence of the two heterogeneous associative learning mechanisms can be hypothesized to arise from the comparative advantages that they have at different stages of learning. In this paper, we assume that the goal-directed system is behaviourally flexible, but slow in choice selection. The habitual system, in contrast, is fast in responding, but inflexible in adapting its behavioural strategy to new conditions. Based on these assumptions and using the computational theory of reinforcement learning, we propose a normative model for arbitration between the two processes that makes an approximately optimal balance between search-time and accuracy in decision making. Behaviourally, the model can explain experimental evidence on behavioural sensitivity to outcome at the early stages of learning, but insensitivity at the later stages. It also explains that when two choices with equal incentive values are available concurrently, the behaviour remains outcome-sensitive, even after extensive training. Moreover, the model can explain choice reaction time variations during the course of learning, as well as the experimental observation that as the number of choices increases, the reaction time also increases. Neurobiologically, by assuming that phasic and tonic activities of midbrain dopamine neurons carry the reward prediction error and the average reward signals used by the model, respectively, the model predicts that whereas phasic dopamine indirectly affects behaviour through reinforcing stimulus-response associations, tonic dopamine can directly affect behaviour through manipulating the competition between the habitual and the goal-directed systems and thus, affect reaction time

Hundreds of millions of people in the tropics need both wild harvests and other forms of economic development for their well-being

Local access to “wild,” common-pool terrestrial and aquatic resources is being diminished by global resource demand and large-scale conservation interventions. Many theories suggest the well-being of wild harvesters can be supported through transitions to other livelihoods, improved infrastructure, and market access. However, new theories argue that such benefits may not always occur because they are context dependent and vary across dimensions of well-being. We test these theories by comparing how wild harvesting and other livelihoods have been associated with food security and life satisfaction in different contexts across ∼10,800 households in the tropics. Wild harvests coincided with high well-being in remote, asset-poor, and less-transformed landscapes. Yet, overall, well-being increased with electrical infrastructure, proximity to cities, and household capitals. This provides large-scale confirmation of the context dependence of nature’s contributions to people, and suggests a need to maintain local wild resource access while investing in equitable access to infrastructure, markets, and skills