Forage rummy: A game to support the participatory design of adapted livestock systems

Martin, Guillaume; Felten, B.; Duru, Michel

doi:10.1016/j.envsoft.2011.08.013

Cited by 78 publications

(72 citation statements)

References 35 publications

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“…Such small changes in land management, even under the most severe scenario, were due to constraints specific to high-mountain environments (18), which limited options for diversification of management practices. More contrasted results may be expected in other farming systems where less productive grasslands are abandoned and where conversion from more intensive artificial and fertilized grassland or crops (e.g., maize) to grasslands is possible (19,20), leading to stronger direct drought effects on land management.…”

Section: Direct Andmentioning

confidence: 64%

Plant trait-based models identify direct and indirect effects of climate change on bundles of grassland ecosystem services

Lamarque

Mouchet

Quétier

2014

Proc. Natl. Acad. Sci. U.S.A.

114

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Land use and climate change are primary causes of changes in the supply of ecosystem services (ESs). Although the consequences of climate change on ecosystem properties and associated services are well documented, the cascading impacts of climate change on ESs through changes in land use are largely overlooked. We present a trait-based framework based on an empirical model to elucidate how climate change affects tradeoffs among ESs. Using alternative scenarios for mountain grasslands, we predicted how direct effects of climate change on ecosystems and indirect effects through farmers' adaptations are likely to affect ES bundles through changes in plant functional properties. ES supply was overall more sensitive to climate than to induced management change, and ES bundles remained stable across scenarios. These responses largely reflected the restricted extent of management change in this constrained system, which was incorporated when scaling up plot level climate and management effects on ecosystem properties to the entire landscape. The trait-based approach revealed how the combination of common driving traits and common responses to changed fertility determined interactions and tradeoffs among ESs.plant functional traits | trade-offs | global change | mountain agriculture E cosystem services (ESs) are increasingly used to assess and make land and natural resource use decisions that typically involve tradeoffs between conflicting goals and, in particular, between the different bundles of services that a given ecosystem could provide. These decisions are, however, rarely grounded in a mechanistic understanding of the ecosystem properties or processes that enable provision of multiple ESs. At the same time, mechanisms leading to tradeoffs among ESs are still poorly understood (1). Effective ES-based management decisions, especially in a climate-change context, require that we go beyond the description of spatial co-occurrences of targeted ESs under current climates (e.g., refs. 2 and 3) to understand direct interactions between ESs, and the effects of common drivers of change in ESs (4).A mechanistic approach to ES supply will be grounded in the relevant characteristics of the ecosystem components that contribute to it. Functional traits of ES providers are novel and powerful proxies (5, 6) that make it possible to scale wellunderstood functional tradeoffs from the organism level to ecosystem functioning and to ESs (7,8). Their relevance to ES modeling rests on the discovery that response functional traits that determine community response (e.g., fertilization favors plants with nitrogenrich leaves) overlap with effect functional traits that determine effects on ecosystem functioning (e.g., a majority of nitrogen-rich leaves promotes high primary productivity) (9).Scenario-based studies have compared bundles of ESs, and associated positive and negative relationships, across scenarios (10), but few published studies have sought to tease out the respective effects of different scenario drivers. Large-scale studies...

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Section: Direct Andmentioning

confidence: 64%

Plant trait-based models identify direct and indirect effects of climate change on bundles of grassland ecosystem services

Lamarque

Mouchet

Quétier

2014

Proc. Natl. Acad. Sci. U.S.A.

114

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“…These models are used to predict potential impacts of internal or external changes at the farm level (e.g. Martin et al 2011, Le Gal et al 2011, farm to local levels (e.g. Belhouchette et al 2011) or e.g.…”

Section: A Five-step Methodologymentioning

confidence: 99%

“…Berkel and Verburg (2012) used an agentbased model to help design participatory policy for a multifunctional landscape in combination with exploratory scenarios and participatory backcasting approaches. When the issue is limited to the design of farming systems, the use of biophysical models in the form of a game in participatory workshops allows actors to explore a wide range of material resource use modes (Martin et al 2011). An important challenge for science is that these models need to consider the complexity and uncertainty associated with implementing biodiversity-based agriculture (Ingram 2008).…”

Section: Development Of Useful Scientific Artefactsmentioning

confidence: 99%

Designing agroecological transitions; A review

Duru

Thérond

Fares

2015

Agron. Sustain. Dev.

355

230

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Concerns about the negative impacts of productivist agriculture have led to the emergence of two forms of ecological modernisation of agriculture. The first, efficiency-substitution agriculture, aims to improve input use efficiency and to minimise environmental impacts of modern farming systems. It is currently the dominant modernisation pathway. The second, biodiversity-based agriculture, aims to develop ecosystem services provided by biological diversity. It currently exists only as a niche. Here we review challenges of implementing biodiversity-based agriculture: managing, at the local level, a consistent transition within and among farming systems, supply chains and natural resource management. We discuss the strengths and weaknesses of existing conceptual frameworks developed to analyse farming, socialecological and socio-technical systems. Then we present an integrative framework tailored for structuring analysis of agriculture from the perspective of developing a territorial biodiversity-based agriculture. In addition, we propose a participatory methodology to design this agroecological transition at the local level. This design methodology was developed to support a multi-stakeholder arena in analysing the current situation, identifying future exogenous changes and designing (1) targeted territorial biodiversity-based agriculture, (2) the pathway of the transition and (3) the required adaptive governance structures and management strategies. We conclude by analysing key challenges of designing such a complex transition, developing multi-actor and multidomain approaches based on a combination of scientific and experiential knowledge and on building suitable boundary objects (computer-based and conceptual models, indicators, etc.) to assess innovative systems designed by stakeholders.

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“…One noticeable difference with optimisation approaches is that the reviewed articles (Pfister et al 2005;van Wijk et al 2009) pointed to the need to improve our understanding of current farming systems to seek for relevant solutions to their problems. For instance, it was felt necessary to characterize the impact of climate change on farming systems before tackling the identification of possible adaptation strategies (Rivington et al 2007;Martin et al 2011a).…”

Section: Design Contextmentioning

confidence: 99%

“…It builds on new knowledge created in the course of the design process. It involves a departure from existing technologies and management practices as well as the organization of farming systems through, for example, a change from existing livestock systems with animal feeding mainly based on silage maize to systems adapted to climate change by 2050 with animal feeding based on the combination of a diversity of forage resources (Martin et al 2011a). Compared with exploitative innovations, the development and implementation of exploratory innovations comes together with changes in the values and goals of the farmer.…”

Section: Introductionmentioning

confidence: 99%

Farming system design to feed the changing world. A review

Martin

Martin‐Clouaire

Duru

2012

Agron. Sustain. Dev.

116

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Agricultural production is unstable as a result of complex, dynamic and interrelated factors such as climate, markets and public policy that are beyond farmers' control. Farmers must therefore develop new farming systems incorporating innovations in objectives, organization and practices adapted to changing production contexts. As a consequence, agronomists have expanded the "farming system design" field of research. A variety of quantitative and qualitative design approaches have been developed to support the analysis of current farming systems and the design and evaluation of alternatives. A comprehensive literature assessment is lacking for this emerging field of agricultural science. Here we review 41 farming system design approaches using computer models. Our main findings are the following: (1) the reviewed literature do not make reference to the theoretical approaches from the field of design science. (2) Two categories of farming system approaches can be distinguished: optimisation approaches, and participatory and simulation-based approaches. These two categories are connected to two of the main design science theories. (3) For optimisation approaches, farming system design is mainly seen as a problem-solving process. Emphasis is placed on the computational exploration of the solution space by a problem-solving algorithm. (4) For participatory and simulation-based approaches, conceptualization of the design problem is central to the farming system design process. The subsequent exploration of the solution space relies on the creativity of humans. (5) Optimisation approaches, and participatory and simulationbased approaches are oriented towards the development of exploitative rather than exploratory innovations. Exploitative innovations involve the exploitation of available knowledge while exploration innovations build on knowledge created in the course of the design process.

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Forage rummy: A game to support the participatory design of adapted livestock systems

Cited by 78 publications

References 35 publications

Plant trait-based models identify direct and indirect effects of climate change on bundles of grassland ecosystem services

Plant trait-based models identify direct and indirect effects of climate change on bundles of grassland ecosystem services

Designing agroecological transitions; A review

Farming system design to feed the changing world. A review

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