Increased preparation for drought among livestock producers reliant on rain-fed forage (original) (raw)
Abstract
Increased preparation for drought among livestock producers reliant on rain-fed forage should reduce the economic losses and environmental degradation when the eventual drought occurs. We surveyed livestock ranchers in southeastern Arizona, USA, to determine their level of increased preparation for drought following 10 very dry years, as well as their level of threat from drought, importance of coping strategies, ranching experience, herd size, and satisfaction with drought management information. We used the protection motivation theory (PMT) model to structure our analysis because it provides a cognitive process approach to understand what motivates people to increase preparation for looming problems and how the likelihood of that behavior is a function of threat and coping strategy assessments. Thirty-seven percent of ranchers reported a high increase in preparedness, and another 31 % reported some increased preparation. Increased preparation was positively associated with three coping practices: reserve pastures, rotate grazing, and drought planning. However, increased preparation was negatively associated with drought threat severity, suggesting that the more prepared ranchers have implemented coping strategies that buffer them from the looming threat of drought. We found no relationship between increased preparation and levels of ranching experience, herd size, or satisfaction with drought information. Structure and content of education and assistance programs for improving rancher preparation for drought should benefit from the PMT-based analysis because it identifies drivers leading to increased preparedness and how those drivers differ among members of the ranching community.
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References
- Alllison PD (2012) Logistic regression using the SAS system: theory and application, 2nd edn. AS Institute, Cary 339
Google Scholar - Ashraf M, Routray JK, Saeed M (2014) Determinants of farmers’ choice of coping and adaptation measures to the drought hazard in northwest Balochistan, Pakistan. Nat Hazards 73:1451–1473
Article Google Scholar - Bartlett ET, Torell LA, Rimbey NR, Van Tassell LW, McCollum DW (2002) Valuing grazing use on public land. J Range Manag 55:426–438
Article Google Scholar - Bastian CT, Mooney S, Nagler AM, Hewlett JP, Paisley SI, Smith MA, Frasier WM, Umberger WJ (2006) Ranchers diverse in their drought management strategies. West Econ Forum 5(2):1–8
Google Scholar - Beguería S, Vicente-Serrano SM (2009) SPEI calculator. http://digital.csic.es/handle/10261/10002. Accessed in Aug 2014
- Briske DD, Sayer NF, Huntsinger L, Fernandez-Gimenez M, Budd B, Derner JD (2011) Origin, persistence, and resolution of the rotational grazing debate: integrating human dimensions into rangeland research. Range Ecol Manag 64:325–334
Article Google Scholar - Butler GJ (2012) Perceptions of drought: how ranchers in Arizona prepare for and respond to drought. MS Thesis, University of Arizona
- Coles AR, Scott CA (2009) Vulnerability and adaptation to climate change and variability in semi-rural southeastern Arizona, USA. Nat Resour Forum 33:297–309
Article Google Scholar - Coppock DL (2011) Ranching and multiyear droughts in Utah: production impacts, risk perception, and changes in preparedness. Rangel Ecol Manag 64:607–618
Article Google Scholar - Dagel KC (1997) Defining drought in marginal areas: the role of perception. Prof Geogr 49:192–202
Article Google Scholar - Dillman DA (2000) Mail and internet surveys: the tailored design method. Wiley, New York
Google Scholar - Dunn B, Smart A, Gates R (2005) Barriers to successful drought management: why do some ranchers fail to take action? Rangelands 27(2):13–16
Article Google Scholar - Eakin H, Conley J (2002) Climate variability and the vulnerability of ranching in southeastern Arizona: a pilot study. Clim Res 21:271–281
Article Google Scholar - Fernandez-Gimenez ME, Ruyle G, McClaran SJ (2005) An evaluation of Arizona cooperative extension’s rangeland monitoring program. Rangel Ecol Manag 58:89–98
Article Google Scholar - Floyd DL, Prentice-Dunn S, Rogers RW (2000) A meta-analysis of research on protection motivation theory. J Appl Soc Psychol 30:407–429
Article Google Scholar - Foran BD, Stafford Smith DM (1991) Risk, biology, and drought management strategies for cattle stations in central Australia. J Environ Manag 33:17–33
- Gates RN, Dunn BH, Davis J, Arzeno A, Beutler M (2007) Strategic and scenario planning in ranching: managing risk in dynamic times. In: EC924. South Dakota State University Extension Service
- Grothmann T, Patt A (2005) Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob Environ Change 15:199–213
Article Google Scholar - Grothmann T, Reusswig F (2006) People at risk of flooding: why some residents take precautionary action while others do not. Nat Hazards 38:101–120
Article Google Scholar - Hayes MJ, Wilhelm OV, Knutson CL (2004) Reducing drought risk: bridging theory and practice. Nat Hazards Rev 5:106–113
Article Google Scholar - Kerna A, Frisvold G, Tronstad R, Teegerstrom T (2014) The contribution of the beef industry to the Arizona economy. University of Arizona Cooperative Extension. http://cals.arizona.edu/arec/pubs/beefindustryeconcontrib.html
- Koerth J, Vafeidis AT, Hinkel J, Sterr H (2013) What motivates coastal households to adapt pro-actively to sea-level rise and increasing flood risk? Reg Environ Change 13:897–909
Article Google Scholar - Le Dang H, Li E, Nuberg I, Bruwer J (2014) Farmers’ assessment of private adaptive measures to climate change and influential factors: a study in the Mekong Delta, Vietnam. Nat Hazards 71:385–401
Article Google Scholar - Lubbell MN, Cutts BB, Roche LM, Hamilton M, Derner JD, Kachergis E, Tate KW (2013) Conservation program participation and adaptive rangeland decision-making. Rangel Ecol Manag 66:609–620
Article Google Scholar - Marshall NA, Smajgl A (2013) Understanding variability in adaptive capacity on rangelands. Rangel Ecol Manag 66:88–94
Article Google Scholar - Marshall NA, Gordon IJ, Ash AJ (2011) The reluctance of resource-users to adopt seasonal climate forecasts to enhance resilience to climate variability on the rangelands. Clim Change 107:511–529
Article Google Scholar - McClaran MP, Wei H (2014) Recent drought phase in a 73-year record at two spatial scales: implications for livestock production on rangelands in the southwestern United States. Agric For Meteorol 197:40–51
Article Google Scholar - Miller MM (2005) Drought efects on the ranching industry in southeastern Colorado. Rangelands 27(2):17–18
- National Agricultural Statistics Service (2014) U.S. Agricultural Census, 2012. Cattle and Calves—Inventory and Sales. US Department of Agriculture. http://www.agcensus.usda.gov/Publications/2012/Full_Report/Volume_1,_Chapter_2_County_Level/Arizona/st04_2_011_011.pdf
- NDMC (National Drought Mitigation Center) (2012) Program to Calculate Standardized Precipitation Index. http://drought.unl.edu/MonitoringTools/DownloadableSPIProgram.aspx. University of Nebraska-Lincoln, National Drought Mitigation Center
- NDMC (National Drought Mitigation Center) (2013) Managing drought risk on the ranch: a planning guide for great plains ranchers. University of Nebraska-Lincoln, National Drought Mitigation Center
- Olsson U (1979) Maximum likelihood estimation of the polychoric correlation coefficient. Psychometrika 12:443–460
Article Google Scholar - PRISM Climate Group (2014) PRISM climate data. Oregon State University. http://prism.oregonstate.edu. Accessed Aug 2014
- Reynolds JF, Stafford Smith DM, Lambin EF, Turner BL II, Mortimore M, Batterbury SPJ, Downing TE, Dowlatabadi H, Fernandez RJ, Herrick JE, Huber-Sannwald E, Jiang H, Leemans R, Lynam T, Maetre FT, Ayarza M, Walker B (2007) Global desertification: building a science for dryland development. Science 316:847–851
Article Google Scholar - Safriel U, Adeel Z, Niemeijer D, Puigdefabregas J, White R, Lal R, Winslow M, Ziedler J, Prince S, Archer E, King C (2005) Dryland systems. In: Hassan R, Scholes R, Ash N (eds) Ecosystems and human well-being: current state and trends: findings of the condition and trends group. Island Press, Covelo, pp 346–623
Google Scholar - SAS (2013) SAS software, version 9.4 for Windows. SAS Institute Inc., Cary
Google Scholar - Stafford Smith DM, McKeon GM, Watson IW, Henry BK, Stone GS, Hall WB, Howden SM (2007) Learning from episodes of degradation and recovery in variable Australian rangelands. Proc Natl Acad Sci 104:20690–20695
Article Google Scholar - Stewart AE (2009) Psychological perspectives on adaptation to weather and climate. In: Ebi KL, Burton I, MacGregor G (eds) Biometeorology for adaptation to climate variability and change. Springer, New York, pp 211–232
Chapter Google Scholar - Tolleson DR (2013) Strategic drought scenario planning. Arizona Cattlelog 67(4):12–14
Google Scholar - Torell LA, Murugan S, Ramirez OA (2010) Economics of flexible versus conservative stocking strategies to manage climate variability risk. Rangel Ecol Manag 63:415–425
Article Google Scholar - Webb NP, Stokes CJ, Marshall NA (2013) Integrating biophysical and socio-economic evaluations to improve the efficacy of adaptation assessments for agriculture. Glob Environ Change 23:1164–1177
Article Google Scholar - Weber E (2006) Experience-based and description-based perceptions of long-term risk: why global warming does not scare us (yet). Clim Change 77:103–120
Article Google Scholar
Acknowledgments
Research funded by US Department of Agriculture (USDA)-Cooperative State Research, Education, and Extension Service Conservation Effects Assessment Project (CEAP) Program, USDA-Agricultural and Food Research Institute Climate Change Program, and Arizona Agricultural Experiment Station. A. Bowen provided especially helpful suggestions about the Protection Motivation Theory, and M. Crimmins provided helpful suggestions on the manuscript. Two anonymous reviewers provided constructive comments that improved the manuscript.
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Authors and Affiliations
- School of Natural Resources and the Environment, University of Arizona, Tucson, AZ, 85721, USA
Mitchel P. McClaran, Greg J. Butler, Haiyan Wei & George D. Ruyle
Authors
- Mitchel P. McClaran
- Greg J. Butler
- Haiyan Wei
- George D. Ruyle
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Correspondence toMitchel P. McClaran.
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McClaran, M.P., Butler, G.J., Wei, H. et al. Increased preparation for drought among livestock producers reliant on rain-fed forage.Nat Hazards 79, 151–170 (2015). https://doi.org/10.1007/s11069-015-1834-3
- Received: 31 December 2014
- Accepted: 30 May 2015
- Published: 10 June 2015
- Issue date: October 2015
- DOI: https://doi.org/10.1007/s11069-015-1834-3