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Journal ArticleDOI

Differences in farmer and expert beliefs and the perceived impacts of conservation agriculture

TLDR
In this article, the authors investigated the relationship between trends in expert and rural farmer reasoning and predictions regarding the outcomes associated with development technology based on these beliefs and compared these mental model-based differences with local environmental conditions (using soil measurements) and agricultural outcomes in terms of farm production.
Abstract
Departing from the traditional agricultural model of input-heavy, intensive agriculture via the use of agrochemicals and irrigated water, many international development projects have started to promote conservation agriculture in developing countries. However, relying solely on technical expertise, largely generated outside the rural communities in which they are applied, often does not consider whether local ecological and culturally influenced beliefs are consistent with the technologies being promoted for adoption. We suggest these disconnects can be linked to differing ‘mental models’ of scientific experts and rural agricultural communities regarding the nature of farming dynamics and predicted impacts of introduced farming practices. Using an agricultural development project in Nepal as a case study, this research seeks to understand the relationship between trends in expert and rural farmer reasoning and predictions regarding the outcomes associated with development technology based on these beliefs. Further, we seek to compare these mental model-based differences with local environmental conditions (using soil measurements) and agricultural outcomes in terms of farm production (i.e. yield). While researchers’ mental models predicted that minimum tillage would improve yield, mental models from two of the three villages predicted that yield would decrease. Local soil and yield measurements support the farmers’ mental model predictions. Our results indicated that conservation agriculture techniques should not be applied universally, development practitioners should engage in a two-way learning with local communities to benefit from locally situated knowledge.

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Modelling with stakeholders - Next generation

TL;DR: Modelling with Stakeholders is updated and builds on Voinov and Bousquet, 2010, and structured mechanisms to examine and account for human biases and beliefs in participatory modelling are suggested.
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Using fuzzy cognitive mapping as a participatory approach to analyze change, preferred states, and perceived resilience of social-ecological systems

TL;DR: The usefulness of FCM for promoting resilience analysis among stakeholders in terms of identifying key state variables that comprise an SES, evaluating alternative SES equilibrium states, and defining desirable or undesirable state outcomes through scenario analysis is examined.
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Perceptions of integrated crop-livestock systems for sustainable intensification in the Brazilian Amazon

TL;DR: In this article, the authors examine local perspectives of ICLS to better illuminate what other concerns, besides agronomic and economic outcomes, might guide farmers' decisions to adopt this (and other) agricultural intensification strategies.
Journal ArticleDOI

Mental models for conservation research and practice

TL;DR: In this article, mental models are used to reveal individual assumptions about a system, develop a stakeholder-based model of the system, and create a shared pathway to conservation, with a focus on diagram-based methods.
References
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Journal ArticleDOI

A Ladder of Citizen Participation

TL;DR: Beskriver ulike grader av brukermedvirkning, og regnes som en klassiker innenfor temaet Brukermedveirkning og psykisk helsearbeid as discussed by the authors.
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Adaptive governance of social-ecological systems

TL;DR: In this paper, the authors explore the social dimension that enables adaptive ecosystem-based management, focusing on experiences of adaptive governance of social-ecological systems during periods of abrupt change and investigates social sources of renewal and reorganization.
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Rediscovery of traditional ecological knowledge as adaptive management

TL;DR: In this article, the role of traditional ecological knowledge in monitoring, responding to, and managing ecosystem processes and functions, with special attention to ecological resilience, was surveyed and case studies revealed that there exists a diversity of local or traditional practices for ecosystem management, including multiple species management, resource rotation, succession management, landscape patchiness management, and other ways of responding to and managing pulses and ecological surprises.
Journal ArticleDOI

Fuzzy cognitive maps

TL;DR: A fuzzy causal algebra for governing causal propagation on FCMs is developed and it allows knowledge bases to be grown by connecting different FCMs.
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