An open platform to assess vulnerabilities to climate change: An application to agricultural systems

Eza, Ulrich; Shtiliyanova, Anastasiya; Borràs, David; Bellocchi, Gianni; Carrère, Pascal; Martin, Raphaël

doi:10.1016/j.ecoinf.2015.10.009

Cited by 8 publications

(4 citation statements)

References 33 publications

(33 reference statements)

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“…Rather, in this approach these are identified from the community itself" (Smit & Wandel 2006, p.288). This is in contrast to literature that focuses on systemic and often quantitative analyses of vulnerability of crops or the farming systems themselves (Eza et al, 2015;Bär et al, 2015).…”

Section: Vulnerability Of Nordic Agriculturementioning

confidence: 86%

Climate change transformations in Nordic agriculture?

Juhola

Klein

Käyhkö

et al. 2017

Journal of Rural Studies

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Climate change is expected to have negative impacts but also bring opportunities for agriculture and increase crop productivity in the Nordic countries. Little research has been conducted at the farmer level to identify what adaptation measures are being considered or already taken, and transformative these are. Based on semi-structured interviews with farmers and extension officers from two of the most fertile agricultural areas of Finland and Sweden, this study examines to what extent Nordic farmers are engaged in transforming their farming systems. The results show that some transformational changes are taking place already but most changes are incremental. Currently, farmers perceive agricultural policies and regulations as a greater challenge than climate change.

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Section: Vulnerability Of Nordic Agriculturementioning

confidence: 86%

Climate change transformations in Nordic agriculture?

Juhola

Klein

Käyhkö

et al. 2017

Journal of Rural Studies

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“…In addition, systematic tests of model sensitivity to changes in data resolution, including in relation to climate data, are important in order to establish where scaling techniques, or the provision of data at a different resolution, would be most beneficial. Eza et al (2015) describe the application of a modelling platform for climate change vulnerability studies (and their incorporation into management and planning), where grassland simulation capabilities are at the core of integrated and automated procedures (including down-and up-scaling approaches) usually employed in isolation.…”

Section: Linking Different Scales Of Modelling and Datamentioning

confidence: 99%

Key challenges and priorities for modelling European grasslands under climate change

Kipling

Virkajärvi

Breitsameter

et al. 2016

Science of The Total Environment

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Grassland-based ruminant production systems are integral to sustainable food production in Europe, converting plant materials indigestible to humans into nutritious food, while providing a range of environmental and cultural benefits. Climate change poses significant challenges for such systems, their productivity and the wider benefits they supply. In this context, grassland models have an important role in predicting and understanding the impacts of climate change on grassland systems, and assessing the efficacy of potential adaptation and mitigation strategies. In order to identify the key challenges for European grassland modelling under climate change, modellers and researchers from across Europe were consulted via workshop and questionnaire. Participants identified fifteen challenges and considered the current state of modelling and priorities for future research in relation to each. A review of literature was undertaken to corroborate and enrich the information provided during the horizon scanning activities. Challenges were in four categories relating to: 1) the direct and indirect effects of climate change on the sward 2) climate change effects on grassland systems outputs 3) mediation of climate change impacts by site, system and management and 4) cross-cutting methodological issues. While research priorities differed between challenges, an underlying theme was the need for accessible, shared inventories of models, approaches and data, as a resource for stakeholders and to stimulate new research. Developing grassland models to effectively support efforts to tackle climate change impacts, while increasing productivity and enhancing ecosystem services, will require engagement with stakeholders and policy-makers, as well as modellers and experimental researchers across many disciplines. The challenges and priorities identified are intended to be a resource 1) for grassland modellers and experimental researchers, to stimulate the development of new research directions and collaborative opportunities, and 2) for policy-makers involved in shaping the research agenda for European grassland modelling under climate change.

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“…Ludwig and Asseng, 2006;Tingem et al, 2008;Ruiz-Ramos and Mínguez, 2010;Graux et al, 2013;Vital et al, 2013;Zhang et al, 2017;Mangani et al, 2018), to determine the vulnerability of agricultural systems to a changing climate (e.g. Harrison et al, 2014, Lardy et al, 2014Eza et al, 2015;Mangani et al, 2019).…”

Section: Introductionmentioning

confidence: 99%