Valuing local knowledge as a source of expert data: Farmer engagement and the design of decision support systems

Oliver, David M.; Fish, Robert; Winter, Michael; Hodgson, C. J.; Heathwaite, A. Louise; Chadwick, D. R.

doi:10.1016/j.envsoft.2011.09.013

Cited by 90 publications

(59 citation statements)

References 41 publications

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“…Other sources of knowledge (empirical or traditional) have been ignored or minimized for a long time. Nowadays, there is a trend to more incorporate all various perceptions, in particular coming from end-users like farmers or fishers, taking account of ground realities [Haggan et al 2007], [Oliver et al 2012]. In addition, decisions taken on these grounds should be more easily accepted by stakeholders, within a more effective management process: public participation is a key ingredient of good governance [Pita et al 2010].…”

Section: Contextmentioning

confidence: 99%

Inference reasoning on fishers' knowledge using Bayesian causal maps

Beaufort

Sedki

Fontenelle

2015

Ecological Informatics

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Scientists and managers are not the only holders of knowledge regarding environmental issues: other stakeholders such as farmers or fishers do have empirical and relevant knowledge. Thus, new approaches for knowledge representation in the case of multiple knowledge sources, but still enabling reasoning, are needed. Cognitive maps and Bayesian networks constitute some useful formalisms to address knowledge representations. Cognitive maps are powerful graphical models for knowledge gathering or displaying. If they offer an easy means to express individuals judgments, drawing inferences in cognitive maps remains a difficult task. Bayesian networks are widely used for decision making processes that face uncertain information or diagnosis. But they are difficult to elicitate. To take advantage of each formalism and to overcome their drawbacks, Bayesian causal maps have been developed. In this approach, cognitive maps are used to build the network and obtain conditional probability tables. We propose here a complete framework applied on a real problem. From the different views of a group of shellfish dredgers about their activity, we derive a decision facilitating tool, enabling scenarios testing for fisheries management.qualitative modelling, cognitive maps, bayesian networks, fisher's knowledge, fisheries management, qualitative decision support 1

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Section: Contextmentioning

confidence: 99%

Inference reasoning on fishers' knowledge using Bayesian causal maps

Beaufort

Sedki

Fontenelle

2015

Ecological Informatics

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“…The successful integration of scientific knowledge and local ecological knowledge not only benefit the local coastal community but also the science communities at large. Local-level expert knowledge such as farming practices and land use can help to inform the Decision Support Systems (Oliver et al, 2012); similarly, local insights like fish location and species can be mapped by a Geographic Information System (Nursey-Bray et al, 2014). …”

Section: Organisational Structure (Os)mentioning

confidence: 99%

“…The capacity to embrace multiple forms of knowledge, in addition to the provision of a diversity of governance regimes, will create a good 'fit' over the geographies and scales of coastal regions (Nursey-Bray et al, 2014). Ability to Potential indicators of Learning Capability includes the capability to articulate (Oliver et al, 2012), ability to capture and transfer lessons learned (Freeze and Kulkarni, 2007), and motivated to study and co-create knowledge (Aujirapongpan et al, 2010).…”

Section: Learning Capability (Lc)mentioning

confidence: 99%

Measuring Knowledge Management Capability Condition on the Support of Marine and Fishery Resources Utilisation

Teniwut¹

2017

IJMAR

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Economically and ecologically, marine environment plays an important role in all aspects of our life. Throughout human existence, we have relied on the marine environment for food, recreational activities, economic opportunities, and so on. For that reason, it is vital to protect, sustain, and improve the coastal zone as an aquatic resources and a habitat for wildlife. Managing coastal zones require involvements from many different stakeholders; however, the integration of all knowledge types --including local expertise and scientific knowledge --with the policymaking is not without challenges. This paper looks at the resource based capability and knowledgebased capability perspectives in measuring the effectiveness of knowledge management in a rural coastal region, Southeast Maluku district. This research uses stepwise regression analysis method with 253 respondents. The results of this study indicate that resources based and knowledge based capabilities in this region are effective in supporting the application of knowledge capability management. However, the ability to obtain information and utilise information has not significantly impacted the development of knowledge capability management of fishery resources and marine in this region at the time of writing.

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“…This can be due to lack of confidence in the product, lack of ease of use, and due to the length of time it can take to embed a tool within an organisation that may ultimately use it. To prevent this 'implementation gap' there should hence be active engagement between providers and users throughout the development of any tool to maximise its utility, acceptability and speed of uptake [130]. Involving stakeholders in the design of a decision support tool for visualizing E. coli risk on agricultural land for instance, has helped to promote enthusiasm and understanding of the tool, and has enhanced its applicability [104].…”

Section: Ecosystem Service Assessment and Decision-making Frameworkmentioning

confidence: 99%

Managing Multiple Catchment Demands for Sustainable Water Use and Ecosystem Service Provision

Stosch¹,

Oliver²

2017

Water

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Ensuring water, food and energy security for a growing world population represents a 21st century catchment management challenge. Failure to recognise the complexity of interactions across ecosystem service provision can risk the loss of other key environmental and socioeconomic benefits from the natural capital of catchment systems. In particular, the ability of soil and water to meet human needs is undermined by uncertainties around climate change effects, ecosystem service interactions and conflicting stakeholder interests across catchments. This critical review draws from an extensive literature to discuss the benefits and challenges of utilising an ecosystem service approach for integrated catchment management (ICM). State-of-the-art research on ecosystem service assessment, mapping and participatory approaches is evaluated and a roadmap of the key short-and longer-term research needs for maximising landscape-scale ecosystem service provision from catchments is proposed.

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Valuing local knowledge as a source of expert data: Farmer engagement and the design of decision support systems

Cited by 90 publications

References 41 publications

Inference reasoning on fishers' knowledge using Bayesian causal maps

Inference reasoning on fishers' knowledge using Bayesian causal maps

Measuring Knowledge Management Capability Condition on the Support of Marine and Fishery Resources Utilisation

Managing Multiple Catchment Demands for Sustainable Water Use and Ecosystem Service Provision

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