Warming up to climate change: a participatory approach to engaging with agricultural stakeholders in the Southeast US

Bartels, Wendy-Lin; Furman, Carrie; Diehl, David C.; Royce, Frederick S.; Dourte, Daniel R.; Ortiz, Brenda V.; Zierden, David; Irani, Tracy; Fraisse, Clyde W.; Jones, James W.

doi:10.1007/s10113-012-0371-9

Cited by 66 publications

(53 citation statements)

References 23 publications

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“…seeking diversity and building social cohesion, trust and joint commitment) are better tailored to support learning and increase adaptive capacity of individuals and communities. Our findings also support other studies which have shown that brokering roles is important in facilitating linkages among various actors, as they try to respond to the needs of farmers and to emerging issues in a community (Minh et al, 2010;Duru et al, 2012;Johnson et al, 2012;Bartels et al, 2013;Bos et al, 2013).…”

Section: Discussionsupporting

confidence: 90%

“…In order to develop and scale up the social learning configuration to other agricultural communities in Vietnam, it also needs to be considered as an institutional innovation. The starting point of this approach should be an assessment of the existing system's abilities, also considering the current climate change context, followed by the gradual introduction of the institutional innovation from simple to more comprehensive forms (Jakku & Thorburn, 2010;Bartels et al, 2013). Therefore, systematically building up policy capacities at different levels should be planned for as well.…”

Section: Discussionmentioning

confidence: 99%

“…Bardsley, 2015;Clemens et al, 2016;Ensor & Harvey, 2015;McCrum et al, 2009;Pelling et al, 2008). But these studies have not looked comprehensively at how to create and evaluate social learning configurations (Bartels et al, 2013;Bloch et al, 2016;Cooper & Wheeler, 2015;Mapfumo et al, 2013;Mishra et al, 2013). For example, some studies lack a clear link between the design and evaluation phase of a social learning configuration and some studies are lacking an upscaling phase.…”

Section: Theoretical Contributionsmentioning

confidence: 99%

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Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

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Section: Discussionsupporting

confidence: 90%

Section: Discussionmentioning

confidence: 99%

Section: Theoretical Contributionsmentioning

confidence: 99%

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Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

Le¹

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“…A larger number of papers discuss participatory approaches in relation to climate change on the regional scale. These usually have a narrow focus, e.g., on adaptation, knowledge sharing or the technical design and implementation of participatory approaches (e.g., Bartels et al 2013;de la Vega-Leinert et al 2008;Faysse et al 2014;Huntjens et al 2010). PM as a tool to assist the development of regional models is presented for example by Richards et al (2013), Carmona et al (2013a, b) and Holman et al (2008).…”

Section: Motivation Scope and Objectives Of This Articlementioning

confidence: 99%

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

et al. 2015

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Participatory modeling (PM) has become an essential concept in environmental impact assessment and planning in the field of water resources. In this paper, we focus on the use of PM to support the development of the integrated regional modeling system DANUBIA as a scientific concept to analyze the previously unknown impacts of global change, i.e., the combined effects of climate, demographic, economic, social and ecological change, on the Upper Danube Catchment (Germany). We use this case study to examine the specific conditions for PM in the field of complex integrated models on a regional scale. We describe the stepwise PM process and discuss the respective results, focusing on (1) the stakeholder dialogue's contribution in supporting the development of new, complex modeling systems, particularly on a regional scale, (2) conditions of stakeholder involvement in issues related to the distant future, such as climate change impacts on regional water availability, and (3) limitations of PM and scientists' motivation to carry out participatory research at all. We conclude that the PM process was not entirely successful in improving the scientific quality and practical applicability of the developed models because the process goals were manifold and overambitious, and the definition of the problem of ''global change impacts on a regional scale'' was too weak and uncertain to allow for a clear common objective of modelers and stakeholders. We claim that there is a lack of incentives for scientists, particularly natural scientists, to commit to PM activities.

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“…For example, they indicate limited development in integrating usable climate information into decision making. Bartels et al (2012) in another related paper discuss on innovative stakeholder engagements like establishing climate learning network consisting of row crop farmers, agricultural extension specialists, researchers, and climate scientists working in the SUS to create interactive spaces for knowledge coproduction using participatory tools. Such thought out stakeholder engagements are necessary for improving the usefulness of climate information in decision support and strengthening of the adaptive capacity of vulnerable communities to a varying and changing climate.…”

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confidence: 99%

A multi-disciplinary assessment of the southeastern United States climate

Misra

2013

Reg Environ Change

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The southeastern United States (SUS) is a region that exhibits considerable climate variability throughout the year along with high-impact weather extremes of severe weather and land-falling Atlantic tropical cyclones in the summer and fall, freeze events in the winter season, and tornadoes in the spring season. The SUS region has rapidly grown in terms of human population for last several decades that further exposes vulnerabilities to the frailties of nature. Furthermore, in the recent times, the agricultural production of the region has grown significantly with the rise in consumption and demand for bio fuels, increase in price and demand for commodity and food crops and increasing irrigation infrastructure that is subsidized by the state governments in the SUS. Similarly, the coastal development and capitalization of natural marine resource environment have also risen with the growing wealth of the population. All of these developments have led to an increasing interest in the understanding of the climate variations and change on the built and the natural environments of the SUS. This special issue is a manifestation of such an interest in the SUS with contributions from several climate-related inter-disciplinary groups including the Southeast Climate Consortium (SECC; http://seclimate. org/), the Florida Climate Institute (FCI; http://floridacli mateinstitute.org/), the University of Florida Water Institute (http://waterinstitute.ufl.edu/), and the Florida Water & Climate Alliance (FloridaWCA; http://www.floridawca.org).There are 15 research papers in this special issue covering climate science and its applications in hydrology, ecology, economy, crop science, and social science. It is quite apparent from the diverse set of papers that the demand for ''reliable'' regional-scale climate data over the SUS is of considerable interest for climate impact assessment. As a result, there are several papers in this collection which dwell on developing the regional-scale climate information from dynamic downscaling (e.g., Misra et al. 2012), or from statistical downscaling (e.g., Asefa and Adams 2013) or from a combination of statistical and dynamical downscaling (e.g., Hwang et al. 2013). Asefa and Adams (2013) introduced in their paper a new statistical bias correction technique for regional climate projections over central Florida based on a Bayesian approach that weights on the reliability of the global climate model in reproducing the observed climate. Hwang et al. (2013) highlight the merit of using dynamically downscaled and statistically bias-corrected climate data for hydrological applications over the Tampa Bay watershed. Misra et al. (2012) show the advantage and fidelity of dynamically downscaling the twentieth-century global atmospheric reanalysis (20CR) to 10 km grid resolution. For example, they demonstrate that data inhomogeneity issues over SUS in the 20CR are greatly ameliorated by the internal variations resolved by the dynamic downscaling to 10-km grid resolution.The interest in regional-scale cli...

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Warming up to climate change: a participatory approach to engaging with agricultural stakeholders in the Southeast US

Cited by 66 publications

References 23 publications

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

Developing adaptive capacity in times of climate change in central rural Vietnam: exploring smallholders’ learning and governance

Global change impacts on the Upper Danube Catchment (Central Europe): a study of participatory modeling

A multi-disciplinary assessment of the southeastern United States climate

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