Visualizing Climate Change Adaptation: An Effective Tool for Agricultural Outreach?

AbstractLandscape photovisualizations (PVZs) are digitally altered photographs that show existing landscapes altered to include a simulated future scenario. They are commonly used to support dialog...

[1]  Marilla D. Svinicki,et al.  Attempted Validation of the Scores of the VARK: Learning Styles Inventory With Multitrait–Multimethod Confirmatory Factor Analysis Models , 2010 .

[2]  D. Hollinger,et al.  Farm service agency employee intentions to use weather and climate data in professional services , 2018, Renewable Agriculture and Food Systems.

[3]  M. Lubell,et al.  Perceptions and responses to climate policy risks among California farmers , 2013 .

[4]  Kheir Al-Kodmany,et al.  Visualization Tools and Methods in Community Planning: From Freehand Sketches to Virtual Reality , 2002 .

[5]  Ian J. Bateman,et al.  Visualisation for Participatory Coastal Zone Management: A Case Study of the Norfolk Coast, England , 2006 .

[6]  Sophie A. Nicholson-Cole.  Representing climate change futures: a critique on the use of images for visual communication , 2005, Comput. Environ. Urban Syst..

[7]  L. O. Naess.  The role of local knowledge in adaptation to climate change , 2013 .

[8]  M. Niles,et al.  Farmer’s intended and actual adoption of climate change mitigation and adaptation strategies , 2016, Climatic Change.

[9]  J. Angel,et al.  Agricultural Advisors as Climate Information Intermediaries: Exploring Differences in Capacity to Communicate Climate , 2015 .

[10]  Normative standards for land use in Vermont: Implications for biodiversity , 2014 .

[11]  L. Ziska,et al.  Unique challenges and opportunities for northeastern US crop production in a changing climate , 2017, Climatic Change.

[12]  J. Soussana,et al.  Adapting agriculture to climate change , 2007, Proceedings of the National Academy of Sciences.

[13]  Duncan Cavens,et al.  The multiple roles of environmental data visualization in evaluating alternative forest management strategies , 2005 .

[14]  Matthias Buchecker,et al.  Aesthetic preferences versus ecological objectives in river restorations , 2008 .

[15]  Andrew A. Lovett,et al.  GIS-based visualisation of rural landscapes: Defining 'sufficient' realism for environmental decision-making , 2003 .

[16]  Hadi Dowlatabadi,et al.  Scale, context, and decision making in agricultural adaptation to climate variability and change , 1999 .

[17]  B. Bishop,et al.  Special issue article: The social psychology of climate change Imagining climate change: The role of implicit associations and affective psychological distancing in climate change responses , 2014 .

[18]  M. R. Stoline.  The Status of Multiple Comparisons: Simultaneous Estimation of all Pairwise Comparisons in One-Way ANOVA Designs , 1981 .

[19]  David G. Dobolyi,et al.  The Scientific Status of Learning Styles Theories , 2015 .

[20]  Eckart Lange.  99 volumes later: We can visualise. Now what? , 2011 .

[21]  D. Conner,et al.  Farmer perceptions of climate change risk and associated on-farm management strategies in Vermont, northeastern United States , 2016 .

[22]  Deborah J. Wojcik,et al.  Harnessing homophily to improve climate change education , 2015 .

[23]  Jeffrey M Casello,et al.  Effective Environmental Visualization for Urban Planning and Design: Interdisciplinary Reflections on a Rapidly Evolving Technology , 2012 .

[24]  Stephen R.J. Sheppard,et al.  Culture and communication: Can landscape visualization improve forest management consultation with indigenous communities? , 2006 .

[25]  R. C. Izaurralde,et al.  Indicators of climate change in agricultural systems , 2018, Climatic Change.

[26]  Eckart Lange,et al.  Scenario-visualization for the assessment of perceived green space qualities at the urban-rural fringe. , 2008, Journal of environmental management.

[27]  C. Haaren,et al.  Communicating spatial planning decisions at the landscape and farm level with landscape visualization , 2014 .

[28]  C. Koliba,et al.  Crowdsourced Delphis: Designing solutions to complex environmental problems with broad stakeholder participation , 2017 .

[29]  L. Prokopy,et al.  Why farmers adopt best management practice in the United States: a meta-analysis of the adoption literature. , 2012, Journal of environmental management.

[30]  Terry J. Logan,et al.  Agricultural best management practices and groundwater protection , 1990 .

[31]  Dennis Fitzgerald,et al.  Do people “personally experience” global warming, and if so how, and does it matter? , 2013 .

[32]  D. Conner,et al.  Economic Analysis of Climate Change Best Management Practices in Vermont Agriculture , 2015 .

[33]  S. Sheppard.  Landscape visualisation and climate change: the potential for influencing perceptions and behaviour , 2005 .

[34]  Mark Lubell,et al.  How limiting factors drive agricultural adaptation to climate change , 2015 .

[35]  Stewart J. Cohen,et al.  Future visioning of local climate change: A framework for community engagement and planning with scenarios and visualisation , 2011 .

[36]  G. Tress,et al.  Scenario visualisation for participatory landscape planning—a study from Denmark , 2003 .

[37]  Liz Carlisle.  Factors influencing farmer adoption of soil health practices in the United States: a narrative review , 2016 .

[38]  Now I See: Photovisualization to Support Agricultural Climate Adaptation , 2019, Society & Natural Resources.

[39]  D. Knowler,et al.  Farmers’ adoption of conservation agriculture: A review and synthesis of recent research , 2007 .

[40]  Petra Lindemann-Matthies,et al.  Aesthetic preference for a Swiss alpine landscape: the impact of different agricultural land-use with different biodiversity. , 2010 .

[41]  S. O'Neill.  Image matters: Climate change imagery in US, UK and Australian newspapers , 2013 .

[42]  Joan Iverson Nassauer,et al.  Homeowner preferences for wooded front yards and backyards: Implications for carbon storage , 2016 .

[43]  Stewart J. Cohen,et al.  Making local futures tangible - synthesizing, downscaling, and visualizing climate change scenarios for participatory capacity building. , 2009 .

[44]  Andrew A. Lovett,et al.  Using 3D visualization methods in landscape planning: An evaluation of options and practical issues , 2015 .

[45]  Romy Greiner,et al.  Motivations, risk perceptions and adoption of conservation practices by farmers , 2009 .

[46]  A. Lovett,et al.  Public opinion on energy crops in the landscape: considerations for the expansion of renewable energy from biomass , 2012 .

[47]  Adam Corner,et al.  Climate visuals: A mixed methods investigation of public perceptions of climate images in three countries , 2016 .

[48]  L. Prokopy,et al.  Determinants of agricultural best management practice adoption: Evidence from the literature , 2008, Journal of Soil and Water Conservation.

[49]  Pedro Leão Neto,et al.  Public Perception in Contemporary Portugal: The Digital Representation of Space , 2006 .

[50]  Ajay S. Singh,et al.  Adoption of agricultural conservation practices in the United States: Evidence from 35 years of quantitative literature , 2019, Journal of Soil and Water Conservation.