Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach

Tengö, Maria; Brondízio, Eduardo S.; Elmqvist, Thomas; Malmer, Pernilla; Spierenburg, Marja

doi:10.1007/s13280-014-0501-3

Cited by 924 publications

(893 citation statements)

References 45 publications

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“…Supporting cultural practices, dialects, and place-based knowledge presents opportunities for people to define their identity and assert the uniqueness of their perspective (Kofinas et al 2000). By supporting diversity and encouraging creativity, through visual approaches, it is possible to facilitate a unique convergence of ideas across knowledge systems that enhances the sustainable stewardship of biodiversity (Tengö et al 2014, Gavin et al 2015.…”

Section: Resultsmentioning

confidence: 99%

“…Many important research tools and methodologies have been developed to enable cross-cultural collaborations and to bridge knowledge systems (Berkes 2004, Tengö et al 2014, Gavin et al 2015, Rathwell et al 2015. Among these, art and artistic processes have the potential to enhance collaborative research processes by improving the effectiveness of numerous social-ecological fields, including occupancy mapping (Tobias 2000), complex systems science (Vervoort et al 2014), social-environmental health and resilience (Castleden et al 2008, Rathwell andArmitage 2016), and ethnographic communication (Thomsen 2015), among others.…”

Section: Introductionmentioning

confidence: 99%

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Creative convergence: exploring biocultural diversity through art

Polfus¹,

Simmons²,

Neyelle³

et al. 2017

E&S

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ABSTRACT. Interdisciplinary approaches are necessary for exploring the complex research questions that stem from interdependence in social-ecological systems. For example, the concept of biocultural diversity, which highlights the interactions between human diversity and the diversity of biological systems, bridges multiple knowledge systems and disciplines and can reveal historical, existing, and emergent patterns of variation that are essential to ecosystem dynamics. Identifying biocultural diversity requires a flexible, creative, and collaborative approach to research. We demonstrate how visual art can be used in combination with scientific and social science methods to examine the biocultural landscape of the Sahtú region of the Northwest Territories, Canada. Specifically, we focus on the intersection of Dene cultural diversity and caribou (Rangifer tarandus) intraspecific variation. We developed original illustrations, diagrams, and other visual aids to increase the effectiveness of communication, improve the organization of research results, and promote intellectual creativity. For example, we used scientific visualization and drawings to explain complex genetic data and clarify research priorities. Visual facilitation during meetings helped establish accurate representations of both cultural and biological diversity by externalizing heterogeneity and avoiding standardization. Group mind mapping enhanced collaborators' ability to visualize connections between Dene concepts, like bets'erıhchá "respect" and caribou, and to recognize differences between knowledge systems that challenge translations and reduce the effectiveness of research outcomes. Collaborative visual products, like posters that represented different caribou types, allowed Dene partners to more clearly articulate subtleties within caribou intraspecific variation that are manifest through distinct dialects, place-based relationships, and cultural practices. Our results point to the potential for visual art to be used to improve communication, participation, and knowledge production in interdisciplinary and cross-cultural research collaborations and to enhance the sustainable stewardship and protection of biodiversity.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Creative convergence: exploring biocultural diversity through art

Polfus¹,

Simmons²,

Neyelle³

et al. 2017

E&S

View full text Add to dashboard Cite

show abstract

“…In the context of social-ecological systems, stewardship is expressed as actively shaping trajectories of systems in order to enhance ecological resilience and support human well-being through the provision of ecosystem services (Kofinas and Chapin 2009;Chapin et al 2011). It emphasizes an understanding of cross-scale interactions (Folke et al 2011) and constructive ways of creating synergies across knowledge systems (Tengö et al 2014). Landscape stewardship has also been used as a way to brand policies and incentive schemes that encourage sustainable production.…”

Section: Introductionmentioning

confidence: 99%

The farmer as a landscape steward: Comparing local understandings of landscape stewardship, landscape values, and land management actions

Raymond¹,

Bieling²,

Fagerholm³

et al. 2015

Ambio

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“…Climate change in the tropics and the role of agrobiodiversity for adapting to variability and sustaining local livelihoods are examples where the sole source of knowledge may reside among local users and managers (Mijatović et al 2013). Knowledge systems of this type (locally or regionally maintained, adapted, and transmitted, e.g., Tengö et al 2014) can help the science policy community to think beyond aspects that can be fitted into models, and the variables that continue to be refined by model improvement might well be what policymakers begin to identify they want refined.…”

Section: Model Uncertaintymentioning

confidence: 99%

Deliberative processes for comprehensive evaluation of agroecological models. A review

Bellocchi

Rivington

Matthews

et al. 2014

Agron. Sustain. Dev.

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The use of biophysical models in agroecology has increased in the last few decades for two main reasons: the need to formalize empirical knowledge and the need to disseminate model-based decision support for decision makers (such as farmers, advisors, and policy makers). The first has encouraged the development and use of mathematical models to enhance the efficiency of field research through extrapolation beyond the limits of site, season, and management. The second reflects the increasing need (by scientists, managers, and the public) for simulation experimentation to explore options and consequences, for example, future resource use efficiency (i.e., management in sustainable intensification), impacts of and adaptation to climate change, understanding market and policy responses to shocks initiated at a biophysical level under increasing demand, and limited supply capacity. Production concerns thus dominate most model applications, but there is a notable growing emphasis on environmental, economic, and policy dimensions. Identifying effective methods of assessing model quality and performance has become a challenging but vital imperative, considering the variety of factors influencing model outputs. Understanding the requirements of stakeholders, in respect of model use, logically implies the need for their inclusion in model evaluation methods. We reviewed the use of metrics of model evaluation, with a particular emphasis on the involvement of stakeholders to expand horizons beyond conventional structured, numeric analyses. Two major topics are discussed: (1) the importance of deliberative processes for model evaluation, and (2) the role computer-aided techniques may play to integrate deliberative processes into the evaluation of agroecological models. We point out that (i) the evaluation of agroecological models can be improved through stakeholder follow-up, which is a key for the acceptability of model realizations in practice, (ii) model credibility depends not only on the outcomes of well-structured, numerically based evaluation, but also on less tangible factors that may need to be addressed using complementary deliberative processes, (iii) comprehensive evaluation of simulation models can be achieved by integrating the expectations of stakeholders via a weighting system of preferences and perception, (iv) questionnaire-based surveys can help understand the challenges posed by the deliberative process, and (v) a benefit can be obtained if model evaluation is conceived in a decisional perspective and evaluation techniques are developed at the same pace with which the models themselves are created and improved. Scientific knowledge hubs are also recognized as critical pillars to advance good modeling practice in relation to model evaluation (including access to dedicated software tools), an activity which is frequently neglected in the context of time-limited framework programs.

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Connecting Diverse Knowledge Systems for Enhanced Ecosystem Governance: The Multiple Evidence Base Approach

Cited by 924 publications

References 45 publications

Creative convergence: exploring biocultural diversity through art

Creative convergence: exploring biocultural diversity through art

The farmer as a landscape steward: Comparing local understandings of landscape stewardship, landscape values, and land management actions

Deliberative processes for comprehensive evaluation of agroecological models. A review

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