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Environmental Management

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05.01.2022

Social Vulnerability to Irrigation Water Loss: Assessing the Effects of Water Policy Change on Farmers in Idaho, USA

verfasst von: Jason K. Hawes, Morey Burnham, Margaret V. du Bray, Vicken Hillis, Zhao Ma, Katrina Running

Erschienen in: Environmental Management | Ausgabe 3/2022

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Abstract

In the Eastern Snake Plain of Idaho, increasing rates of groundwater extraction for irrigation have corresponded with the adoption of more efficient irrigation technologies; higher use and lower incidental recharge have led to increasing groundwater scarcity. This paper assesses farmer vulnerability to a water resource policy that responds to that scarcity by reducing availability of groundwater for irrigation by 4–20%. Using results from a household survey of impacted farmers, we examine vulnerability in two stages, contributing to theorization of farmer vulnerability in a changing climate as well as producing important regional policy insights. The first stage, multimodel selection and inference, analyzes the primary predictors of two forms of vulnerability to groundwater scarcity among this population of farmers. The second stage, a segmentation analysis, highlights policy-relevant variation in adaptive capacity and in vulnerability predictors across the population. Individual-level results indicate that key indicators of vulnerability include several dimensions of adaptive capacity and sensitivity. At the population level, we find that reductions in sensitivity may play an important role in reducing farmer vulnerability. Accelerating global environmental change will require agriculture in arid and semi-arid regions to adapt to shifts in water availability. As water resources shift, institutional contexts and policy landscapes will shift in parallel, as seen with the reduction in groundwater availability in our case study. These institutional shifts may change the face of adaptation and farmer vulnerability in unexpected ways. Our results indicate that such institutional shifts could lean on efforts to enhance farmer adaptive capacity or reduce farmer sensitivity as mechanisms for reducing farmer vulnerability to adaptation policy changes.

Vorheriger Artikel Proposal for a Tool for Assessing Access to Water in Rural Communities: a Case Study in the Brazilian Semi-arid

Nächster Artikel Ecosystem Benefits Provision of Green Stormwater Infrastructure in Chinese Sponge Cities

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Adger WN (2006) Vulnerability. Glob Environ Change 16:268–281. https://doi.org/10.1016/j.gloenvcha.2006.02.006CrossRef

Arbuckle JG, Hobbs J, Loy A et al. (2014) Understanding Corn Belt farmer perspectives on climate change to inform engagement strategies for adaptation and mitigation. J Soil Water Conserv 69:505–516.CrossRef

Basagaña X, Barrera-Gómez J, Benet M et al. (2013) A framework for multiple imputation in cluster analysis. Am J Epidemiol 177:718–725. https://doi.org/10.1093/aje/kws289CrossRef

Bennett NJ, Blythe J, Tyler S, Ban NC (2016) Communities and change in the anthropocene: understanding social-ecological vulnerability and planning adaptations to multiple interacting exposures. Regional Environ Change 16:907–926. https://doi.org/10.1007/s10113-015-0839-5CrossRef

Berman M, Kofinas G, BurnSilver S (2017) Measuring Community Adaptive Capacity and Transformative Capacity in the Arctic Context. In: Fondahl G, Wilson GN (eds) Northern Sustainabilities: Understanding and Addressing Change in the Circumpolar World. Springer International Publishing, Cham, Switzerland, p 59–75CrossRef

Bernard HR, Ryan GW, Wutich A (2016) Analyzing qualitative data: systematic approaches. SAGE, Los Angeles

Birkenholtz T (2012) Network political ecology: method and theory in climate change vulnerability and adaptation research. Prog Hum Geogr 36:295–315. https://doi.org/10.1177/0309132511421532CrossRef

Boyd BK, Gove S, Hitt MA (2005) Construct measurement in strategic management research: illusion or reality? Strategic Manag J 26:239–257. https://doi.org/10.1002/smj.444CrossRef

Burnham M, Ma Z (2017) Climate change adaptation: factors influencing Chinese smallholder farmers’ perceived self-efficacy and adaptation intent. Regional Environ Change 17:171–186. https://doi.org/10.1007/s10113-016-0975-6CrossRef

Burnham M, Ma Z (2016) Linking smallholder farmer climate change adaptation decisions to development. Clim Dev 8:289–311. https://doi.org/10.1080/17565529.2015.1067180CrossRef

Burnham M, Ma Z, Endter-Wada J, Bardsley T (2016) Water management decision making in the face of multiple forms of uncertainty and risk. J Am Water Resour Assoc 52:1366–1384. https://doi.org/10.1111/1752-1688.12459CrossRef

Burnham M, Ma Z, Zhu D (2015) The human dimensions of water saving irrigation: lessons learned from Chinese smallholder farmers. Agriculture Hum Values 32:347–360. https://doi.org/10.1007/s10460-014-9565-8CrossRef

Burnham M, RunningK, du Bray MV, Hawes J, Hillis V, Ma Z, Wardropper C (2019) Impacts of 2015 settlement agreement on Idaho’s farmers [Data set]. EPSCoR MILES Idaho State University. https://doi.org/10.7923/3cjg-wy61

Christman Z, Pearsall H, Schmook B, Mardero S (2015) Diversification and adaptive capacity across scales in an emerging post-frontier landscape of the Usumacinta Valley, Chiapas, Mexico. Int Forestry Rev 17:111–123. https://doi.org/10.1505/146554815814669016CrossRef

Colquitt JA, Rodell JB (2015) Measuring Justice and Fairness. In: The Oxford Handbook of Justice in the Workplace

Costello AB, Osborne JW (2005) Best practices in exploratory factor analysis: Four recommendations for getting the most from your analysis. Practical Assessment, Research and Evaluation 10:1–9

Crane TA, Delaney A, Tamás PA et al. (2017) A systematic review of local vulnerability to climate change in developing country agriculture. Wiley Interdiscip Rev: Clim Change 8:e464. https://doi.org/10.1002/wcc.464CrossRef

Dessai S, Adger WN, Hulme M et al. (2004) Defining and experiencing dangerous climate change. Climatic Change 64:11–25. https://doi.org/10.1023/B:CLIM.0000024781.48904.45CrossRef

Dillman D, Smyth J, Christian L (2014) Mail questionnaires and implementation. Internet, phone, mail, and mixed-mode surveys: The Tailored Design Method 351–395

DiStefano C, Zhu M, Mîndrilǎ D (2009) Understanding and using factor scores: considerations for the applied researcher. Practical Assessment, Research and Evaluation 14: https://doi.org/10.7275/da8t-4g52

du Bray MV, Burnham M, Running K, Hillis V (2018) Adaptive groundwater governance and the challenges of policy implementation in Idaho’s Eastern Snake Plain Aquifer Region. Water Alternatives 11:533–551

Eakin H, Appendini K (2008) Livelihood change, farming, and managing flood risk in the Lerma Valley, Mexico. Agriculture Hum Values 25:555–566. https://doi.org/10.1007/s10460-008-9140-2CrossRef

Eakin H, Bojórquez-Tapia LA (2008) Insights into the composition of household vulnerability from multicriteria decision analysis. Glob Environ Change 18:112–127. https://doi.org/10.1016/j.gloenvcha.2007.09.001CrossRef

Eakin H, Luers AL (2006) Assessing the vulnerability of social-environmental systems. Annu Rev Environ Resour 31:365–394. https://doi.org/10.1146/annurev.energy.30.050504.144352CrossRef

Eakin H, York A, Aggarwal R et al. (2016) Cognitive and institutional influences on farmers’ adaptive capacity: insights into barriers and opportunities for transformative change in central Arizona. Regional Environ Change 16:801–814. https://doi.org/10.1007/s10113-015-0789-yCrossRef

Elliott J, Deryngd D, Müllere C et al. (2014) Constraints and potentials of future irrigation water availability on agricultural production under climate change. Proc Natl Acad Sci 111:3329–3244. https://doi.org/10.1073/pnas.1222474110CrossRef

Ellis F (1998) Household strategies and rural livelihood diversification. J Dev Stud 35:1–38. https://doi.org/10.1080/00220389808422553CrossRef

Engle NL (2011) Adaptive capacity and its assessment. Glob Environ Change 21:647–656. https://doi.org/10.1016/j.gloenvcha.2011.01.019CrossRef

Frank E, Eakin H, López-Carr D (2011) Social identity, perception and motivation in adaptation to climate risk in the coffee sector of Chiapas, Mexico. Glob Environ Change 21:66–76. https://doi.org/10.1016/j.gloenvcha.2010.11.001CrossRef

Füssel HM, Klein RJT (2006) Climate change vulnerability assessments: an evolution of conceptual thinking. Climatic Change 75:301–329. https://doi.org/10.1007/s10584-006-0329-3CrossRef

Gallopín GC (2006) Linkages between vulnerability, resilience, and adaptive capacity. Glob Environ Change 16:293–303.CrossRef

Gardezi M, Arbuckle JG (2019) Spatially representing vulnerability to extreme rain events using midwestern farmers’ objective and perceived attributes of adaptive capacity. Risk Anal 39:17–34. https://doi.org/10.1111/risa.12943CrossRef

Garrote L (2017) Managing water resources to adapt to climate change: facing uncertainty and scarcity in a changing context. Water Resour Manag 31:2951–2963. https://doi.org/10.1007/s11269-017-1714-6CrossRef

Grothmann T, Patt A (2005) Adaptive capacity and human cognition: the process of individual adaptation to climate change. Glob Environ Change 15:199–213. https://doi.org/10.1016/j.gloenvcha.2005.01.002CrossRef

IDWR (2013) Enhanced Snake Plain Aquifer Model Version 2. 1

IDWR (2014a) Final Order Regarding Rangen, Inc,’s Petition for Delivery Call; Curtailing Ground Water Rights Junior to July 13, 1962 (p. 102). Department of Water Resources of the State of Idaho. https://idwr.idaho.gov/wp-content/uploads/sites/2/legal/CM-DC-2011-004/CM-DC-2011-004-20140129-Final-Order-re-Rangens-Pet-for-DC-Curtailing-GW-rights-junior-to-19620713.pdf

IDWR (2014b) Order Granting IGWA’s Petition to Stay Curtailment (p. 7). Department of Water Resources of the State of Idaho. https://idwr.idaho.gov/wp-content/uploads/sites/2/legal/CM-DC-2011-004/CM-DC-2011-004-20140221-Order-Granting-IGWAs-Petition-to-Stay-Curtailment.pdf

IDWR (2020) Eastern Snake Plain Aquifer volume increases 350,000 acre-feet in 2019–2020 and 2.2 million acre-feet in the last 5 years, according to IDWR hydrologists. Idaho Water Resource Board News Releas 2

Johnson GS, Sullivan WH, Cosgrove DM, Schmidt RD. (1999) Recharge of the Snake River Plain Aquifer: Transitioning from Incidental to Managed. J Am Water Res Assoc 35:123–131. https://doi.org/10.1111/j.1752-1688.1999.tb05457.x

Johansson R, Effland A, Coble K (2017) Falling response rates to USDA crop surveys: why it matters. Department of Agricultural and Consumer Economics, University of Illinois at Urbana-Champaign

Jones L, Tanner T (2017) ‘Subjective resilience’: using perceptions to quantify household resilience to climate extremes and disasters. Regional Environ Change 17:229–243. https://doi.org/10.1007/s10113-016-0995-2CrossRef

Klein RJT, Midgley GF, Preston BL et al. (2014) Adaptation Opportunities, Constraints, and Limits. In: Field CB, Barros VR, Dokken DJ et al., (eds) Climate Change 2014 Impacts, Adaptation, and Vulnerability. Cambridge University Press, Cambridge, p 899–944

Kromm DE, White SE (1991) Reliance on sources of information for water-saving practices by irrigators in the High Plains of the U.S.A. J Rural Stud 7(4):411–421. https://doi.org/10.1016/0743-0167(91)90005-DCrossRef

Lall R (2016) How multiple imputation makes a difference. Political Anal 24:414–433. https://doi.org/10.1093/pan/mpw020CrossRef

Lankford B (2013) Resource efficiency complexity and the commons: the paracommons and paradoxes of natural resource losses, wastes and wastages. Routledge

Lawrence PG, Maxwell BD, Rew LJ, Ellis C, Bekkerman A (2018) Vulnerability of dryland agricultural regimes to economic and climatic change. Ecol Soc 23(1):34.CrossRef

Leichenko RM, O’Brien KL (2008) Environmental Change and Globalization Double Exposures. Oxford University Press, New York, NYCrossRef

Mardero S, Schmook B, Radel C et al. (2015) Smallholders’ adaptations to droughts and climatic variability in southeastern Mexico. Environ Hazards 14:271–288. https://doi.org/10.1080/17477891.2015.1058741CrossRef

Marshall NA (2010) Understanding social resilience to climate variability in primary enterprises and industries. Glob Environ Change 20:36–43. https://doi.org/10.1016/j.gloenvcha.2009.10.003CrossRef

Marshall NA, Stokes CJ, Webb NP et al. (2014) Social vulnerability to climate change in primary producers: a typology approach. Agriculture, Ecosyst Environ 186:86–93. https://doi.org/10.1016/j.agee.2014.01.004CrossRef

Mase AS, Gramig BM, Prokopy LS (2017) Climate change beliefs, risk perceptions, and adaptation behavior among Midwestern U.S. crop farmers. Clim Risk Manag 15:8–17. https://doi.org/10.1016/j.crm.2016.11.004CrossRef

Masud-All-Kamal M, Monirul Hassan SM (2018) The link between social capital and disaster recovery: evidence from coastal communities in Bangladesh. Nat Hazards 93:1547–1564. https://doi.org/10.1007/s11069-018-3367-zCrossRef

McCarthy JJ, Canziani, Osvaldo F, Leary NA, et al. (2001) Climate Change 2001: impacts, adaptation, and vulnerability

Milman A, Warner BP (2016) The interfaces of public and private adaptation: lessons from flooding in the Deerfield River Watershed. Glob Environ Change 36:46–55. https://doi.org/10.1016/j.gloenvcha.2015.11.007CrossRef

Mortreux C, Barnett J (2017) Adaptive capacity: exploring the research frontier. Wiley Interdiscip Rev: Clim Change 8:1–12. https://doi.org/10.1002/wcc.403CrossRef

Naylor LA, Brady U, Quinn T et al. (2019) A multiscale analysis of social-ecological system robustness and vulnerability in Cornwall, UK. Regional Environ Change 19:1835–1848. https://doi.org/10.1007/s10113-019-01530-7CrossRef

Nelson R, Kokic P, Crimp S et al. (2010) The vulnerability of Australian rural communities to climate variability and change: Part I—Conceptualising and measuring vulnerability. Environ Sci Policy 13:8–17. https://doi.org/10.1016/j.envsci.2009.09.006CrossRef

Niles MT, Lubell M, Haden VR (2013) Perceptions and responses to climate policy risks among California farmers. Glob Environ Change 23:1752–1760. https://doi.org/10.1016/j.gloenvcha.2013.08.005CrossRef

O’Brien K, Eriksen S, Nygaard LP, Schjolden A (2007) Why different interpretations of vulnerability matter in climate change discourses. Clim Policy 7:73–88. https://doi.org/10.1080/14693062.2007.9685639CrossRef

Osbahr H, Twyman C, Neil Adger W, Thomas DSG (2008) Effective livelihood adaptation to climate change disturbance: scale dimensions of practice in Mozambique. Geoforum 39:1951–1964. https://doi.org/10.1016/j.geoforum.2008.07.010CrossRef

Parker L, Bourgoin C, Martinez-Valle A, Läderach P (2019) Vulnerability of the agricultural sector to climate change: the development of a pan-tropical Climate Risk Vulnerability Assessment to inform sub-national decision making. PLOS ONE 14(3):e0213641. https://doi.org/10.1371/journal.pone.0213641CrossRef

Petrosillo I, Zaccarelli N, Zurlini G (2010) Multi-scale vulnerability of natural capital in a panarchy of social-ecological landscapes. Ecol Complex 7:359–367. https://doi.org/10.1016/j.ecocom.2010.01.001CrossRef

R Core Team (2020) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria, https://www.R-project.org/

Revelle W (2018) psych: Procedures for Psychological, Psychometric, and Personality Research

Ritchie LA, Gill DA (2007) Social capital theory as an integrating theoretical framework in technological disaster research. Sociological Spectr 27:103–129. https://doi.org/10.1080/02732170601001037CrossRef

Roesch-McNally GE, Gordon Arbuckle J, Tyndall JC (2017) What would farmers do? Adaptation intentions under a Corn Belt climate change scenario. Agriculture Hum Values 34:333–346. https://doi.org/10.1007/s10460-016-9719-yCrossRef

Rubin DB (1987) Multiple imputation for nonresponse in surveys, 1st edn. John Wiley & Sons

Running K, Burnham M, Wardropper C, et al. (2019) Farmer adaptation to reduced groundwater availability. Environmental Research Letters. https://doi.org/10.1088/1748-9326/ab4ccc

Rust NA, Stankovics P, Jarvis RM et al. (2021) Have farmers had enough of experts? Environ Manag. https://doi.org/10.1007/s00267-021-01546-y

Safi AS, Smith WJ, Liu Z (2012) Rural Nevada and climate change: vulnerability, beliefs, and risk perception. Risk Anal 32(6):1041–1059.CrossRef

Schmidt FL, Hunter JE, Urry VW (1976) Statistical power in criterion-related validation studies. J Appl Psychol 61:473–485. https://doi.org/10.1037/0021-9010.61.4.473CrossRef

Smit B, Wandel J (2006) Adaptation, adaptive capacity and vulnerability. Glob Environ Change 16:282–292. https://doi.org/10.1016/j.gloenvcha.2006.03.008CrossRef

Stedman RC, Connelly NA, Heberlein TA et al. (2019) The end of the (Research) world as we know it? Understanding and coping with declining response rates to mail surveys. Soc Nat Resour 0:1–16. https://doi.org/10.1080/08941920.2019.1587127CrossRef

Steiner JL, Briske DD, Brown DP et al. (2018) Vulnerability of southern plains agriculture to climate change. Climatic Change 146:201–218. https://doi.org/10.1007/s10584-017-1965-5CrossRef

Stoddard EA, Cantor A (2017) A relational network vulnerability assessment of the North Carolina Hog Industry. Ann Am Assoc Geographers 107:682–699. https://doi.org/10.1080/24694452.2016.1261679CrossRef

Stuart D, Schewe RL, McDermott M (2012) Responding to climate change: barriers to reflexive modernization in U.S. agriculture. Organ Environ 25:308–327. https://doi.org/10.1177/1086026612456536CrossRef

Takahashi B, Burnham M, Terracina-Hartman C et al. (2016) Climate change perceptions of NY state farmers: the role of risk perceptions and adaptive capacity. Environ Manag 58:946–957. https://doi.org/10.1007/s00267-016-0742-yCrossRef

Thu K (2007) The health consequences of industrialized agriculture for farmers in the United States. Hum Organ 57(3):335–341.CrossRef

Tucker CM, Eakin H, Castellanos EJ (2010) Perceptions of risk and adaptation: coffee producers, market shocks, and extreme weather in Central America and Mexico. Glob Environ Change 20:23–32. https://doi.org/10.1016/j.gloenvcha.2009.07.006CrossRef

Tucker M, Napier TL (2002) Preferred sources and channels of soil and water conservation information among farmers in three midwestern US watersheds. Agriculture Ecosyst Environ 92(2–3):297–313. https://doi.org/10.1016/S0167-8809(01)00293-6CrossRef

Turner BL, Kasperson RE, Matson PA et al. (2003) A framework for vulnerability analysis in sustainability science. Proc Natl Acad Sci 100:8074–8079. https://doi.org/10.1073/pnas.1231335100CrossRef

USDA NASS (2014a) 2012 Census of Agriculture: Farm and Ranch Irrigation Survey

USDA NASS (2014b) Volume 1, Geographic Area Series. Part 12. Idaho State and County Data, Washington, DC

USDA NASS (2016) USDA National Agricultural Statistics Service Cropland Data Layer. USDA-NASS, Washington, DC

van Buuren S, Groothuis-Oudshoorn K (2011) {mice}: Multivariate Imputation by Chained Equations in R. J Stat Softw 45:1–67CrossRef

Wang J, Brown DG, Agrawal A (2013) Climate adaptation, local institutions, and rural livelihoods: a comparative study of herder communities in Mongolia and Inner Mongolia, China. Glob Environ Change 23:1673–1683. https://doi.org/10.1016/j.gloenvcha.2013.08.014CrossRef

Watts MJ, Bohle HG (1993) The space of vulnerability: the causal structure of hunger and famine. Prog Hum Geogr 17:43–67. https://doi.org/10.1177/030913259301700103CrossRef

Wolf J, Allice I, Bell T (2013) Values, climate change, and implications for adaptation: Evidence from two communities in Labrador, Canada. Glob Environ Change 23:548–562. https://doi.org/10.1016/j.gloenvcha.2012.11.007CrossRef

Wood AM, White IR, Royston P (2008) How should variable selection be performed with multiply imputed data? Stat Med 27:3227–3246. https://doi.org/10.1002/sim.3177CrossRef

Titel: Social Vulnerability to Irrigation Water Loss: Assessing the Effects of Water Policy Change on Farmers in Idaho, USA
verfasst von: Jason K. Hawes
Morey Burnham
Margaret V. du Bray
Vicken Hillis
Zhao Ma
Katrina Running
Publikationsdatum: 05.01.2022
Verlag: Springer US
Erschienen in: Environmental Management / Ausgabe 3/2022
Print ISSN: 0364-152X
Elektronische ISSN: 1432-1009
DOI: https://doi.org/10.1007/s00267-021-01586-4

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