683
Views
0
CrossRef citations to date
0
Altmetric
Research Article

“A little bit obsessed with the weather”: Leveraging Australian farmers’ online weather practices to inform the design of climate services

Article: 2296652 | Received 09 Jun 2023, Accepted 14 Dec 2023, Published online: 27 Dec 2023

References

  • Abdulai, A.-R., Gibson, R., & Fraser, E. D. G. (2023). Beyond transformations: Zooming in on agricultural digitalization and the changing social practices of rural farming in Northern Ghana, West Africa. Journal of Rural Studies, 100, 103019. https://doi.org/10.1016/j.jrurstud.2023.103019
  • Arbuckle, J. G., Morton, L. W., & Hobbs, J. (2015). Understanding farmer perspectives on climate change adaptation and mitigation: The roles of trust in sources of climate information, climate change beliefs, and perceived risk. Environment and Behavior, 47(2), 205–30. https://doi.org/10.1177/0013916513503832
  • Ayre, M., McCollum, V., Waters, W., Samson, P., Curro, A., Nettle, R., Paschen, J.-A., King, B., & Reichelt, N. (2019). Supporting and practising digital innovation with advisers in smart farming. NJAS: Wageningen Journal of Life Sciences, 90–91(1), 1–12. https://doi.org/10.1016/j.njas.2019.05.001
  • Bellet, C. (2018). Change it or perish? Drug resistance and the dynamics of livestock farm practices. Journal of Rural Studies, 63, 57–64. https://doi.org/10.1016/j.jrurstud.2018.08.016
  • Born, L., Prager, S., Ramirez-Villegas, J., & Imbach, P. (2021). A global meta-analysis of climate services and decision-making in agriculture. Climate Services, 22, 100231. https://doi.org/10.1016/j.cliser.2021.100231
  • Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101. https://doi.org/10.1191/1478088706qp063oa
  • Buis, A. (2020). Study confirms climate models are getting future warming projections right. In NASA’s Jet Propulsion Laboratory, global climate. Vital Signs of the Planet. https://climate.nasa.gov/news/2943/study-confirms-climate-models-are-getting-future-warming-projections-right/
  • Clarkson, D. P., Poskitt, S., Stern, R. D., Nyirongo, D., Fara, K., Gathenya, J. M., Staub, C. G., Trotman, A., Nsengiyumva, G., Torgbor, F., & Giraldo, D. (2022). Stimulating small-scale farmer innovation and adaptation with Participatory integrated climate services for agriculture (PICSA): Lessons from successful implementation in Africa, Latin America, the Caribbean and South Asia. Climate Services, 26, 100298. https://doi.org/10.1016/j.cliser.2022.100298
  • Crane, T. A., Roncoli, C., & Hoogenboom, G. (2011). Adaptation to climate change and climate variability: The importance of understanding agriculture as performance. NJAS: Wageningen Journal of Life Sciences, 57(3–4), 179–185. https://doi.org/10.1016/j.njas.2010.11.002
  • Crane, T. A., Roncoli, C., Paz, J., Breuer, N., Broad, K., Ingram, K. T., & Hoogenboom, G. (2010). Forecast skill and farmers’ skills: Seasonal climate forecasts and agricultural risk management in the Southeastern United States. Weather, Climate, and Society, 2(1), 44–59. https://doi.org/10.1175/2009WCAS1006.1
  • Dainelli, R., Calmanti, S., Pasqui, M., Rocchi, L., DiGiuseppe, E., Monotti, C., Quaresima, S., Matese, A., DiGennaro, S. F., & Toscano, P. (2022). Moving climate seasonal forecasts information from useful to usable for early within-season predictions of durum wheat yield. Climate Services, 28, 100324. https://doi.org/10.1016/j.cliser.2022.100324
  • Darbyshire, R., Crean, J., Cashen, M., Anwar, M. R., Broadfoot, K. M., Simpson, M., Cobon, D. H., Pudmenzky, C., Kouadio, L., & Kodur, S. (2020). Insights into the value of seasonal climate forecasts to agriculture. Australian Journal of Agricultural and Resource Economics, 64(4), 1034–1058. https://doi.org/10.1111/1467-8489.12389
  • Daron, J., Lorenz, S., Taylor, A., & Dessai, S. (2021). Communicating future climate projections of precipitation change. Climatic Change, 166(1–2), 23. https://doi.org/10.1007/s10584-021-03118-9
  • Eastwood, C., Ayre, M., Nettle, R., & Dela Rue, B. (2019). Making sense in the cloud: Farm advisory services in a smart farming future. NJAS: Wageningen Journal of Life Sciences, 90–91(1), 1–10. https://doi.org/10.1016/j.njas.2019.04.004
  • Eastwood, C. R., Chapman, D. F., & Paine, M. S. (2012). Networks of practice for co-construction of agricultural decision support systems: Case studies of precision dairy farms in Australia. Agricultural Systems, 108, 10–18. https://doi.org/10.1016/j.agsy.2011.12.005
  • Ebi, K. L., Vanos, J., Baldwin, J. W., Bell, J. E., Hondula, D. M., Errett, N. A., Hayes, K., Reid, C. E., Saha, S., Spector, J., & Berry, P. (2021). Extreme weather and climate change. Population Health and Health System Implications Annual Review of Public Health, 42(1), 293–315. https://doi.org/10.1146/annurev-publhealth-012420-105026
  • Feldman, D. L., & Ingram, H. M. (2009). Making science useful to decision makers: Climate forecasts, water management, and knowledge networks. Weather, Climate, and Society, 1(1), 9–21. https://doi.org/10.1175/2009WCAS1007.1
  • Findlater, K., Webber, S., Kandlikar, M., & Donner, S. (2021). Climate services promise better decisions but mainly focus on better data. Nature Climate Change, 11(9), 731–737. https://doi.org/10.1038/s41558-021-01125-3
  • Fleming, A., Jakku, E., Fielke, S., Taylor, B. M., Lacey, J., Terhorst, A., & Stitzlein, C. (2021). Foresighting Australian digital agricultural futures: Applying responsible innovation thinking to anticipate research and development impact under different scenarios. Agricultural Systems, 190, 103120. https://doi.org/10.1016/j.agsy.2021.103120
  • Fleming, A., & Vanclay, F. (2010). Farmer responses to climate change and sustainable agriculture. A review. Agronomy for Sustainable Development, 30(1), 11–19. https://doi.org/10.1051/agro/2009028
  • Fraisse, C. W., Breuer, N. E., Zierden, D., Bellow, J. G., Paz, J., Cabrera, V. E., Garcia Y Garcia, A., Ingram, K. T., Hatch, U., Hoogenboom, G., Jones, J. W., & O’Brien, J. J. (2006). AgClimate: A climate forecast information system for agricultural risk management in the southeastern USA. Computers and Electronics in Agriculture, 53(1), 13–27. https://doi.org/10.1016/j.compag.2006.03.002
  • Guido, Z., Lopus, S., Waldman, K., Hannah, C., Zimmer, A., Krell, N., Knudson, C., Estes, L., Caylor, K., & Evans, T. (2021). Perceived links between climate change and weather forecast accuracy: New barriers to tools for agricultural decision-making. Climatic Change, 168(1–2), 9. https://doi.org/10.1007/s10584-021-03207-9
  • Haigh, T., Morton, L. W., Lemos, M. C., Knutson, C., Prokopy, L. S., Lo, Y. J., & Angel, J. (2015). Agricultural Advisors as Climate Information Intermediaries: Exploring Differences in Capacity to Communicate Climate. Weather, Climate, and Society, 7(1), 83–93. https://doi.org/10.1175/WCAS-D-14-00015.1
  • Han, E., Baethgen, W. E., Ines, A. V. M., Mer, F., Souza, J. S., Berterretche, M., Atunez, G., & Barreira, C. (2019). SIMAGRI: An agro-climate decision support tool. Computers and Electronics in Agriculture, 161, 241–251. https://doi.org/10.1016/j.compag.2018.06.034
  • Hargreaves, T. (2011). Practice-ing behaviour change: Applying social practice theory to pro-environmental behaviour change. Journal of Consumer Culture, 11(1), 79–99. https://doi.org/10.1177/1469540510390500
  • Higgins, V., Bryant, M., Howell, A., & Battersby, J. (2017). Ordering adoption: Materiality, knowledge and farmer engagement with precision agriculture technologies. Journal of Rural Studies, 55, 193–202. https://doi.org/10.1016/j.jrurstud.2017.08.011
  • Higgins, V., van der Velden, D., Bechtet, N., Bryant, M., Battersby, J., Belle, M., & Klerkx, L. (2023). Deliberative assembling: Tinkering and farmer agency in precision agriculture implementation. Journal of Rural Studies, 100, 103023. https://doi.org/10.1016/j.jrurstud.2023.103023
  • Hoolohan, C., & Browne, A. L. (2020). Design thinking for practice-based intervention: Co-producing the change points toolkit to unlock (un)sustainable practices. Design Studies, 67, 102–132. https://doi.org/10.1016/j.destud.2019.12.002
  • Houser, M. (2018). Who framed climate change? Identifying the how and why of Iowa corn farmers’ framing of climate change: Who framed climate change? Sociologia Ruralis, 58(1), 40–62. https://doi.org/10.1111/soru.12136
  • Jagannathan, K., Pathak, T. B., & Doll, D. (2023). Are long-term climate projections useful for on-farm adaptation decisions? Frontiers in Climate, 4, 1005104. https://doi.org/10.3389/fclim.2022.1005104
  • Jakku, E., Taylor, B., Fleming, A., Mason, C., Fielke, S., Sounness, C., & Thorburn, P. (2019). “If they don’t tell us what they do with it, why would we trust them?” trust, transparency and benefit-sharing in smart farming. NJAS - Wageningen Journal of Life Sciences, 90–91, 100285. https://doi.org/10.1016/j.njas.2018.11.002
  • Jakku, E., & Thorburn, P. J. (2010). A conceptual framework for guiding the participatory development of agricultural decision support systems. Agricultural Systems, 103(9), 675–682. https://doi.org/10.1016/j.agsy.2010.08.007
  • Kaiser, A., & Burger, P. (2022). Understanding diversity in farmers’ routinized crop protection practices. Journal of Rural Studies, 89, 149–160. https://doi.org/10.1016/j.jrurstud.2021.12.002
  • Kernecker, M., Busse, M., & Knierim, A. (2021). Exploring actors, their constellations, and roles in digital agricultural innovations. Agricultural Systems, 186, 102952. https://doi.org/10.1016/j.agsy.2020.102952
  • Klemm, T., & McPherson, R. A. (2017). The development of seasonal climate forecasting for agricultural producers. Agricultural and Forest Meteorology, 232, 384–399. https://doi.org/10.1016/j.agrformet.2016.09.005
  • Klerkx, L., Jakku, E., & Labarthe, P. (2019). A review of social science on digital agriculture, smart farming and agriculture 4.0: New contributions and a future research agenda. NJAS - Wageningen Journal of Life Sciences, 90–91, 100315. https://doi.org/10.1016/j.njas.2019.100315
  • Klocker, N., Head, L., Dun, O., & Spaven, T. (2018). Experimenting with agricultural diversity: Migrant knowledge as a resource for climate change adaptation. Journal of Rural Studies, 57, 13–24. https://doi.org/10.1016/j.jrurstud.2017.10.006
  • Kusunose, Y., & Mahmood, R. (2016). Imperfect forecasts and decision making in agriculture. Agricultural Systems, 146, 103–110. https://doi.org/10.1016/j.agsy.2016.04.006
  • Labeyrie, V., Renard, D., Aumeeruddy-Thomas, Y., Benyei, P., Caillon, S., Calvet-Mir, L. M., Carrière, S., Demongeot, M., Descamps, E., Braga Junqueira, A., Li, X., Locqueville, J., Mattalia, G., Miñarro, S., Morel, A., Porcuna-Ferrer, A., Schlingmann, A., Vieira da Cunha Avila, J., & Reyes-García, V. (2021). The role of crop diversity in climate change adaptation: Insights from local observations to inform decision making in agriculture. Current Opinion in Environmental Sustainability, 51, 15–23. https://doi.org/10.1016/j.cosust.2021.01.006
  • Lacoste, M., & Kragt, M. (2018). Farmers’ use of weather and forecast information in the Western Australian wheatbelt. Report to the Bureau of Meteorology. Department of Agricultural and Resource Economics, University of Western Australia. https://espace.curtin.edu.au/bitstream/handle/20.500.11937/59734/Lacoste_weather.pdf?sequence=1&isAllowed=y
  • Lu, J., Lemos, M. C., Koundinya, V., & Prokopy, L. S. (2021). Scaling up co-produced climate-driven decision support tools for agriculture. Nature Sustainability, 5(3), 254–262. https://doi.org/10.1038/s41893-021-00825-0
  • MacVaugh, J., & Schiavone, F. (2010). Limits to the diffusion of innovation: A literature review and integrative model. European Journal of Innovation Management, 13(2), 197–221. https://doi.org/10.1108/14601061011040258
  • McGrath, K., Brown, C., Regan, Á., & Russell, T. (2023). Investigating narratives and trends in digital agriculture: A scoping study of social and behavioural science studies. Agricultural Systems, 207, 103616. https://doi.org/10.1016/j.agsy.2023.103616
  • Moernaut, R., Mast, J., Temmerman, M., & Broersma, M. (2022). Hot weather, hot topic. Polarization and sceptical framing in the climate debate on Twitter. Information, Communication & Society, 25(8), 1047–1066. https://doi.org/10.1080/1369118X.2020.1834600
  • Montes De Oca Munguia, O., Pannell, D. J., Llewellyn, R., & Stahlmann-Brown, P. (2021). Adoption pathway analysis: Representing the dynamics and diversity of adoption for agricultural practices. Agricultural Systems, 191, 103173. https://doi.org/10.1016/j.agsy.2021.103173
  • Moser, S. C. (2016). Reflections on climate change communication research and practice in the second decade of the 21st century: What more is there to say? WIREs Climate Change, 7(3), 345–369. https://doi.org/10.1002/wcc.403
  • Moser, S. C., Kasperson, R. E., Yohe, G., & Agyeman, J. (2008). Adaptation to climate change in the Northeast United States: Opportunities, processes, constraints. Mitigation and Adaptation Strategies for Global Change, 13(5–6), 643–659. https://doi.org/10.1007/s11027-007-9132-3
  • Mousumi, M. A., Paparrizos, S., Ahmed, M., Kumar, Z., Uddin, U., Md, E., & Ludwig, F. (2023). Common sources and needs of weather information for rice disease forecasting and management in coastal Bangladesh. NJAS: Impact in Agricultural and Life Sciences, 95(1), 2191794. https://doi.org/10.1080/27685241.2023.2191794
  • O’Grady, M., Langton, D., Salinari, F., Daly, P., & O’Hare, G. (2021). Service design for climate-smart agriculture. Information Processing in Agriculture, 8(2), 328–340. https://doi.org/10.1016/j.inpa.2020.07.003
  • Park, S. E., Marshall, N. A., Jakku, E., Dowd, A. M., Howden, S. M., Mendham, E., & Fleming, A. (2012). Informing adaptation responses to climate change through theories of transformation. Global Environmental Change, 22(1), 115–126. https://doi.org/10.1016/j.gloenvcha.2011.10.003
  • Petersen-Rockney, M. (2022). Social risk perceptions of climate change: A case study of farmers and agricultural advisors in northern California. Global Environmental Change, 75, 102557. https://doi.org/10.1016/j.gloenvcha.2022.102557
  • Phisanbut, N., Songsupakit, K., & Nuchsiri, P. (2021). Using social practice theory to increase herd recording system engagement. Agriculture and Natural Resources, 55(4). https://doi.org/10.34044/j.anres.2021.55.4.18
  • Prokopy, L. S., Carlton, J. S., Haigh, T., Lemos, M. C., Mase, A. S., & Widhalm, M. (2017). Useful to Usable: Developing usable climate science for agriculture. Climate Risk Management, 15, 1–7. https://doi.org/10.1016/j.crm.2016.10.004
  • Qian, W. (2017). Weather and climate. In W. Qian (Eds.), Temporal climatology and anomalous weather analysis (pp. 1–30). Springer Singapore. https://doi.org/10.1007/978-981-10-3641-5_1
  • Reckwitz, A. (2002). Toward a theory of social practices: A development in culturalist theorizing. European Journal of Social Theory, 5(2), 243–263. https://doi.org/10.1177/13684310222225432
  • Rose, D. C. (2014). Five ways to enhance the impact of climate science. Nature Climate Change, 4(7), 522–524. https://doi.org/10.1038/nclimate2270
  • Rose, D. C., Barkemeyer, A., de Boon, A., Price, C., & Roche, D. (2022). The old, the new, or the old made new? Everyday counter-narratives of the so-called fourth agricultural revolution. Agriculture and Human Values, 40, 423–439. https://doi.org/10.1007/s10460-022-10374-7
  • Rose, D. C., Sutherland, W. J., Parker, C., Lobley, M., Winter, M., Morris, C., Twining, S., Ffoulkes, C., Amano, T., & Dicks, L. V. (2016). Decision support tools for agriculture: Towards effective design and delivery. Agricultural Systems, 149, 165–174. https://doi.org/10.1016/j.agsy.2016.09.009
  • Rupnik, R., Kukar, M., Vračar, P., Košir, D., Pevec, D., & Bosnić, Z. (2019). AgroDSS: A decision support system for agriculture and farming. Computers and Electronics in Agriculture, 161, 260–271. https://doi.org/10.1016/j.compag.2018.04.001
  • Schewe, R. L., & Stuart, D. (2015). Diversity in agricultural technology adoption: How are automatic milking systems used and to what end? Agriculture and Human Values, 32(2), 199–213. https://doi.org/10.1007/s10460-014-9542-2
  • Schneider, J. M., & Wiener, J. D. (2009). Progress toward filling the weather and climate forecast needs of agricultural and natural resource management. Journal of Soil and Water Conservation, 64(3), 100A–106A. https://doi.org/10.2489/jswc.64.3.100A
  • Shove, E. (2010). Beyond the ABC: Climate change policy and theories of social change. Environment & Planning A: Economy & Space, 42(6), 1273–1285. https://doi.org/10.1068/a42282
  • Shove, E. (2012). Habits and their creatures. Collegium, 12. http://hdl.handle.net/10138/34225
  • Shove, E., Pantzar, M., & Watson, M. (2012). The dynamics of social practice: Everyday Life and how it changes. SAGE Publications Ltd. https://doi.org/10.4135/9781446250655
  • Strengers, Y., & Maller, C. (2012). Materialising energy and water resources in everyday practices: Insights for securing supply systems. Global Environmental Change, 22(3), 754–763. https://doi.org/10.1016/j.gloenvcha.2012.04.004
  • Takle, E. S., Anderson, C. J., Andresen, J., Angel, J., Elmore, R. W., Gramig, B. M., Guinan, P., Hilberg, S., Kluck, D., Massey, R., Niyogi, D., Schneider, J. M., Shulski, M. D., Todey, D., & Widhalm, M. (2014). Climate forecasts for corn Producer decision making. Earth Interactions, 18(5), 1–8. https://doi.org/10.1175/2013EI000541.1
  • Vaughan, C., & Dessai, S. (2014). Climate services for society: Origins, institutional arrangements, and design elements for an evaluation framework. WIREs Climate Change, 5(5), 587–603. https://doi.org/10.1002/wcc.290
  • Vaughan, C., Dessai, S., & Hewitt, C. (2018). Surveying climate services: What can we learn from a Bird’s-eye view? Weather, Climate, and Society, 10(2), 373–395. https://doi.org/10.1175/WCAS-D-17-0030.1
  • Vincent, K., Daly, M., Scannell, C., & Leathes, B. (2018). What can climate services learn from theory and practice of co-production? Climate Services, 12, 48–58. https://doi.org/10.1016/j.cliser.2018.11.001
  • von Diest, S. G., Wright, J., Samways, M. J., & Kieft, H. (2020). A call to focus on farmer intuition for improved management decision-making. Outlook on Agriculture, 49(4), 278–285. https://doi.org/10.1177/0030727020956665
  • Webb, L., Tozer, C., Bettio, L., Darbyshire, R., Robinson, B., Fleming, A., Tijs, S., Bodman, R., Prakash, M., & Petrie, P. (2023). Climate services for agriculture: Tools for informing decisions relating to climate change and climate variability in the Wine industry. Australian Journal of Grape and Wine Research, 2023, 1–13. https://doi.org/10.1155/2023/5025359
  • World Climate Service. (2022). What is a probabilistic climate forecast. WCS Blog. https://www.worldclimateservice.com/2019/02/20/what-is-a-probabilistic-climate-forecast/