Abstract
Use of nutrient management practices to reduce nutrient loss from agriculture and its associated water quality consequences, including hypoxia and eutrophication, is widely encouraged. However, little is known about which factors influence farmers’ risk perceptions associated with nutrient loss, and thus possibly influence their decisions to adopt such practices. To determine which factors were associated with relative “accuracy” of nutrient loss–associated risk perceptions, specific farm field management information was used as inputs to a Soil and Water Assessment Tool model of the study watershed to produce water quality outputs for each modeled farm field. This information was paired with farmers’ risk perceptions associated with nutrient loss on their farm to assess relative “accuracy” of each farmer’s perceptions compared to the rest of the farmers in the study. We then investigated characteristics of the farm and farmer that are associated with comparative “overprediction” and “underprediction” of risk, and found that characteristics of the individual (conservation identity, prior conservation practice adoption, efficacy beliefs, and perceived seriousness of the consequences of nutrient loss) are more important in determining whether farmers are likely to “overpredict” or “underpredict” risk than is the objective (modeled) vulnerability of their land to nutrient loss.
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Survey instrument and data are not publicly available but may be made available upon request.
References
Andrews SS, Flora CB, Mitchell JP, Karlen DL (2003) Growers’ perceptions and acceptance of soil quality indices. Geoderma 114:187–213. https://doi.org/10.1016/S0016-7061(03)00041-7
Apostel A, Kalcic M, Dagnew A, Evenson G, Kast J, King K, Martin J, Muenich RL, Scavia D (2021) Simulating internal watershed processes using multiple SWAT models. Sci Tot Environ 759:143920. https://doi.org/10.1016/j.scitotenv2020.143920
Arbuckle JG (2013) Farmer support for extending Conservation Compliance beyond soil erosion: evidence from Iowa. J Soil Water Conserv 68(2):99–109. https://doi.org/10.2489/jswc.68.2.99
Arbuckle JG, Roesch-McNally G (2015) Cover crop adoption in Iowa: the role of perceived practice characteristics. J Soil Water Conserv 70(6):418–429. https://doi.org/10.2489/jswc.70.6.418
Asci S, Borisova T, VanSickle JJ (2015) Role of economics in developing fertilizer best management practices. Agric Water Manag 152:251–261. https://doi.org/10.1016/j.agwat.2015.01.021
Barker DJ, Culman S, Dorrance A et al. (2017) Ohio Agronomy Guide, 15th Edition (Bulletin 472). https://stepupsoy.osu.edu/sites/hcs-soy/files/472%20Ohio%20Agronomy%20Guide%2015%20Ed%20red_0.pdf. Accessed 14 Jul 2020
Burnett EA, Wilson RS, Roe B, Howard G, Irwin E, Zhang W, Martin J (2015) Farmers, phosphorus and water quality: Part II. A descriptive report of beliefs, attitudes and best management practices in the Maumee Watershed of the Western Lake Erie Basin. The Ohio State University, School of Environment & Natural Resources, Columbus OH
Burton RJF (2004) Seeing through the ‘good farmers’s’ eyes: towards developing an understanding of the social symbolic value of ‘productivist’ behaviour. Sociol Ruralis 44(2):195–215
Canter LW, Nelson DI, Everett JW (1992) Public perceptions of water quality risks—influencing factors and enhancement opportunities. J Environ Syst 22(2):163–187. https://doi.org/10.2190/93D9-JF0N-EEF8-W4PW
Carlson D, Carter C, Horn M (2014) Is public perception of water quality accurate in northwestern Louisiana? Trans Gulf Coast Assoc Geol Soc 64:91–104
Carpenter SR, Caraco NF, Correll DL, Howarth RW, Sharpley AN, Smith VH (1998) Nonpoint pollution of surface waters with phosphorus and nitrogen. Ecol Appl 8(3):559–568. 10.1890/1051-0761(1998)008[0559:NPOSWW]2.0.CO;2
Christianson L, Knoot T, Larsen D, Tyndall J, Helmers M (2014) Adoption potential of nitrate mitigation practices: an ecosystem services approach. Int J Agric Sustain 12(4):407–424. https://doi.org/10.1080/14735903.2013.835604
Dillman DA, Smyth JD, Christian LM (2014) Internet, phone, mail, and mixed-mode surveys: the tailored design method. John Wiley & Sons, Inc, Hoboken NJ
Dobbie MF, Brown RR (2014) A framework for understanding risk perception, explored from the perspective of the water practitioner. Risk Anal 34(2):294–308. https://doi.org/10.1111/risa.12100
Festinger L (1957) A theory of cognitive dissonance. Stanford University Press, Stanford CA
Finucane ML, Alhakami A, Slovic P, Johnson SM (2000a) The affect heuristic in judgments of risks and benefits. J Behav Decis Mak 13(1):1–17. https://doi.org/10.1002/(SICI)1099-0771(200001/03)13:1%3C1::AID-BDM333%3E3.0.CO;2-S
Finucane ML, Slovic P, Mertz CK, Flynn J, Satterfield TA (2000b) Gender, race, and perceived risk: the ‘white male’ effect. Health Risk Soc 2(2):159–172. https://doi.org/10.1080/713670162
Floyd DL, Prentice-Dunn S, Rogers RW (2000) A meta-analysis of research on protection motivation theory. J Appl Soc Psychol 30(2):407–429. https://doi.org/10.1111/j.1559-1816.2000.tb02323.x
Gachango FG, Andersen LM, Pedersen SM (2015) Adoption of voluntary water-pollution reduction technologies and water quality perception among Danish farmers. Agric Water Manag 158:235–244. https://doi.org/10.1016/j.agwat.2015.04.014
Glibert PM, Burford MA (2017) Globally changing nutrient loads and harmful algal blooms: recent advances, new paradigms, and continuing challenges. Oceanography 30(1):58–69. https://doi.org/10.5670/oceanog.2017.110
Greiner R, Patterson L, Miller O (2009) Motivations, risk perceptions and adoption of conservation practices by farmers. Agric Syst 99:86–104. https://doi.org/10.1016/j.agsy.2008.10.003
IBM Corp. (2020) IBM SPSS statistics for Windows, Version 27.0. IBM Corp., Armonk NY, Released
Johnson R, Hanrahan CE, Schnepf R (2010) Comparing U.S. and EU program support for farm commodities and conservation. CRS Report for Congress, Washington DC
Kahan DM, Braman D, Gastil J, Slovic P, Mertz CK (2007) Culture and identity-protective cognition: explaining the white-male effect in risk perception. J Empir Leg Stud 4(3):465–505. https://doi.org/10.1111/j.1740-1461.2007.00097.x
Kahan DM (2012) Cultural cognition as a conception of the cultural theory of risk. In: Roeser S, Hillerbrand R, Sandin P, Peterson M (eds) Handbook of risk theory. Springer, Dordrecht, pp 725–759
Kassan A, Friedrich T, Derpsch R, Kienzle J (2015) Overview of the worldwide spread of conservation agriculture. Field Actions Sci Rep 8
Kunda Z (1990) The case for motivated reasoning. Psychol Bull 108(3):480–498. https://doi.org/10.1037/0033-2909.108.3.480
Lichtenberg E, Lessley BV (1992) Water quality, cost-sharing, and technical assistance: perceptions of Maryland farmers. J Soil Water Conserv 47(3):260–264
Liebig MA, Doran JW (1999) Evaluation of farmers’ perceptions of soil quality indicators. Am J Altern Agric 14(1):11–21
McGuire J, Morton LW, Cast AD (2013) Reconstructing the good farmer identity: shifts in farmer identities and farm management practices to improve water quality. Agric Hum Values 30:57–69. https://doi.org/10.1007/s10460-012-9381-y
McGuire JM, Morton LW, Arbuckle JG, Cast AD (2015) Farmer identities and responses to the social-biophysical environment. J Rural Stud 39:145–155. https://doi.org/10.1016/j.jrurstud.2015.03.011
Mitchell PD (2004) Nutrient best management practice insurance and farmer perceptions of adoption risk. J Agric App Econ 36(3):657–673. https://doi.org/10.22004/ag.econ.43460
Osmond DL, Hoag DLK, Luloff AE, Meals DW, Neas K (2015) Farmers’ use of nutrient management: lessons from watershed case studies. J Environ Qual 44:382–390. https://doi.org/10.2134/jeq2014.02.0091
Prokopy LS, Floress K, Arbuckle JG et al. (2019) Adoption of agricultural conservation practices in the United States: evidence from 35 years of quantitative literature. J Soil Water Conserv 74(5):520–534. https://doi.org/10.2489/jswc.74.5.520
Rahelizatovo NC, Gillespie JM (2004) The adoption of best-management practices by Louisiana dairy producers. J Agric App Econ 36(1):229–240. https://doi.org/10.1017/S1074070800021970
Ramsey SM, Bergtold JS, Canales E, Williams JR (2019) Effect of farmers’ yield-risk perceptions on conservation practice adoption in Kansas. J Agr Resour Econ 44(2):380–403
Ranjan P, Church SP, Floress K, Prokopy LS (2019) Synthesizing conservation motivations and barriers: what have we learned from qualitative studies of farmers’ behaviors in the United States? Soc Nat Resour 32(11):1171–1199. https://doi.org/10.1080/08941920.2019.1648710
Reimer AP, Weinkauf DK, Prokopy LS (2012) The influence of perceptions of practice characteristics: an examination of agricultural best management practice adoption in two Indiana watersheds. J Rural Stud 28:118–128. https://doi.org/10.1016/j.jrurstud.2011.09.005
Roesch-McNally GE, Basche AD, Arbuckle JG, Tyndall JC, Miguez FE, Bowman T, Clay R (2017) The trouble with cover crops: farmers’ experiences with overcoming barriers to adoption. Renew Agr Food Syst 33(4):322–333. https://doi.org/10.1017/S1742170517000096
Romig DE, Garlynd MJ, Harris RF, McSweeney K (1995) How farmers assess soil health and quality. J Soil Water Conserv 50(3):229–236
Schwab ER, Wilson RS, Kalcic MM (2021) Exploring the mechanisms behind farmers’ perceptions of nutrient loss risk. Agric Hum Values https://doi.org/10.1007/s10460-021-10196-z
Slovic P, Finucane ML, Peters E, MacGregor DG (2004) Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Anal 24(2):311–322. https://doi.org/10.1111/j.0272-4332.2004.00433.x
Sulemana I, James HS (2014) Farmer identity, ethical attitudes and environmental practices. Ecol Econ 98:49–61. https://doi.org/10.1016/j.ecolecon.2013.12.011
The MathWorks, Inc. (2020) MATLAB version 9.9.0.1538559. The MathWorks, Inc., Natick MA
Toma L, Mathijs E (2007) Environmental risk perception, environmental concern and propensity to participate in organic farming programmes. J Environ Manage 83:145–157. https://doi.org/10.1016/j.jenvman.2006.02.004
United States Department of Agriculture Natural Resources Conservation Service (2005) Western Lake Erie Basin Water Resources Protection Plan: Ohio, Indiana and Michigan. https://www.nrcs.usda.gov/Internet/FSE_DOCUMENTS/nrcs144p2_029098.pdf. Accessed 14 Jul 2020
United States Department of Agriculture National Agricultural Statistics Service (2012) 2012 census volume 1, County level data. https://www.nass.usda.gov/Publications/AgCensus/2012/Full_Report/Volume_1,_Chapter_2_County_Level/. Accessed 14 Jul 2020
United States Department of Agriculture National Agricultural Statistics Service (2014) 2012 Census of Agriculture highlights: Farm demographics: U.S. farmers by gender, age, race, ethnicity, and more (Fact sheet). https://www.nass.usda.gov/Publications/Highlights/2014/Farm_Demographics/Highlights_Farm_Demographics.pdf. Accessed 14 Jul 2020
Wilson RS, Zwickle A, Walpole H (2019) Developing a broadly applicable measure of risk perception. Risk Anal 39(4):777–791. https://doi.org/10.1111/risa.13207
Witte K (1992) Putting the fear back in fear appeals: the extended parallel process model. Commun Monog 59(4):329–349. https://doi.org/10.1080/03637759209376276
Witte K, Allen M (2000) A meta-analysis of fear appeals: Implications for effective public health campaigns. Health Educ Behav 27(5):591–615. https://doi.org/10.1177/109019810002700506
Woods BR, Luloff AE, Osmond D, Hoag D (2014) Toward a synthesis: lessons from thirteen cropland watershed-scale studies. Soc Nat Resour 27:341–357. https://doi.org/10.1080/08941920.2013.861551
Wustro I, Conradie B (2020) How stable are farmers’ risk perceptions? A follow-up study of one community in the Karoo. Agrekon 59(1):30–45. https://doi.org/10.1080/03031853.2019.1653204
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This survey was funded by the NSF Dynamics of Coupled Natural and Human Systems Program (BCS-1114934).
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Schwab, E.R., Kalcic, M.M. & Wilson, R.S. Assessing the Accuracy of Farmers’ Nutrient Loss Risk Perceptions. Environmental Management 68, 539–552 (2021). https://doi.org/10.1007/s00267-021-01519-1
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DOI: https://doi.org/10.1007/s00267-021-01519-1