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Farmer perceptions of sustainable agriculture practices and drought risk reduction in Nebraska, USA

Published online by Cambridge University Press:  10 March 2011

C.L. Knutson*
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
T. Haigh
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
M.J. Hayes
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
M. Widhalm
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
J. Nothwehr
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
M. Kleinschmidt
Affiliation:
Organic farmer, Hartington, Nebraska, USA.
L. Graf
Affiliation:
National Drought Mitigation Center, School of Natural Resources, 823 Hardin Hall, University of Nebraska-Lincoln, NE, USA.
*
*Corresponding author: cknutson1@unl.edu
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Abstract

Social factors, such as farming methods, have an impact on farm vulnerability to drought, but have received little research or policy attention. Some researchers and advocates have argued that sustainable agriculture systems are less vulnerable to climate risk than conventional systems because sustainable agriculture requires producers to have skills promoting adaptability. In this paper, we investigate producers’ perceptions on the use of sustainable agriculture in reducing drought risk, and what they believe would help them better adapt to drought. We surveyed and interviewed farmer members of two sustainable agriculture organizations in Nebraska, USA, during a multi-year drought period from 1999 to 2007. Producers reported implementing a range of practices, such as organic soil building techniques, reduced tillage, targeted crop selection and diversification of crop and livestock production systems, to reduce their drought vulnerability. Although some practices were implemented specifically to reduce drought risk, producers felt that the practices they implemented as part of their normal operation were largely responsible for reducing their risk. Respondents held mixed views on the effects of insurance and farm programs on their drought management decisions. Finally, producers indicated that their ability to adapt to drought is limited by a number of barriers, especially a lack of capital and the need to respond to markets and maximize production to maintain cash flows.

Information

Type
Research Papers
Copyright
Copyright © Cambridge University Press 2011
Figure 0

Table 1. Practices respondents have used that they would consider sustainable.

Figure 1

Table 2. Practices used specifically to reduce the effects of drought.

Figure 2

Table 3. Comparison of survey responses citing implemented practices such as sustainable and/or drought risk reduction activities.

Figure 3

Table 4. Factors identified by producers that reduced their vulnerability to drought.

Figure 4

Table 5. Responses given as ‘proof’ of effectiveness of practices during drought.

Figure 5

Figure 1. Differences among variables identified by respondents as barriers to implementing drought risk reduction practices (1=low, 5=high). (a) Lack of capital (N=27, mean=3.22, SD=1.31) was ranked higher than (c) P=0.04, (d) P=0.03, (g) P=0.002, (h) P=0.015, (i) P=0.011 and (j) P<0.001. (b) Markets/need to maximize production (N=26, mean=2.58, SD=1.27) was ranked higher than (g) P=0.011, (h) P=0.016, (i) P=0.043 and (j) P=0.002. (c) Lack of drought planning (N=25, mean=2.28, SD=1.24) was ranked higher than (i) P=0.016 and (j) P=0.011. (d) Unreliability of forecasts (N=25, mean=2.2, SD=1.15) was ranked higher than (i) P=0.041 and (j) P=0.001. (e) Federal farm program (N=20, mean=2.15, SD=1.38) was ranked higher than (j) P=0.044. (f) Landlord control over operation (N=15, mean=2.0, SD=1.3) was not significantly different than any other variable. (g) Feel that nothing can be done (N=21, mean=1.81, SD=0.8136). (h) Bank control over operation (N=13, mean=1.77, SD=1.3). (i) Peer pressure (N=16, mean=1.63, SD=1.02). (j) Lack of access to weather data and forecasts (N=23, mean=2.20, SD=1.15).