Regional Environmental Change

, Volume 11, Issue 3, pp 503–518 | Cite as

Climate change, drought risk and land capability for agriculture: implications for land use in Scotland

  • Iain Brown
  • Laura Poggio
  • Alessandro Gimona
  • Marie Castellazzi
Original Article

Abstract

Land capability classification systems define and communicate biophysical limitations on land use, including climate, soils and topography. They can therefore provide an accessible format for both scientists and decision-makers to share knowledge on climate change impacts and adaptation. Underlying such classifications are complex interactions that require dynamic spatial analysis, particularly between soil and climate. These relationships are investigated using a case study on drought risk for agriculture in Scotland, which is currently considered less significant than wetness-related issues. The impact of drought risk is assessed using an established empirical system for land capability linking indicator crops with water availability. This procedure is facilitated by spatial interpolation of climate and soil profile data to provide soil moisture deficits and plant available water on a regular 1-km grid. To evaluate potential impacts of future climate change, land capability classes are estimated using both large-scale ensemble (multi-simulation) data from the HadRM3 regional climate model and local-scale weather generator data (UKCP09) derived from multiple climate models. Results for the case study suggest that drought risk is likely to have a much more significant influence on land use in the future. This could potentially act to restrict the range of crops grown and hence reduce land capability in some areas unless strategic-level adaptation measures are developed that also integrate land use systems and water resources with the wider environment.

Keywords

Land capability Climate change Drought risk Soil moisture Land use 

References

  1. Allen RG, Smith M, Perrier LS, Pereira A (1994) An update for the calculation of reference evapotranspiration. ICID Bull 43:35–92Google Scholar
  2. Beddington J (2010) Food security: contributions from science to a new and greener revolution. Philos Trans R Soc B 365:61–71CrossRefGoogle Scholar
  3. Bell V, Gedney N, Smith R, Moore B (2006) Estimating potential evaporation from vegetated surfaces using the Met Office Surface-Exchange Scheme (MOSES). Joint Centre for Hydro-Meteorological Research, WallingfordGoogle Scholar
  4. Bibby JS, Douglas HA, Thomasson AJ, Robertson JS (1982) Land capability classification for agriculture. Macaulay Institute for Soil Research, AberdeenGoogle Scholar
  5. Brown I, Towers W, Rivington M, Black HIJ (2008) Influence of climate change on agricultural land-use potential: adapting and updating the land capability system for Scotland. Clim Res 37:43–57CrossRefGoogle Scholar
  6. Carr ER, Kettle NP (2009) Commentary: the challenge of quantifying susceptibility to drought-related crisis. Reg Environ Chang 9:131–136CrossRefGoogle Scholar
  7. De Groot JCJ, Rossing WAH, Jellema A, Stobbelaar DJ, Renting H, Van Ittersum MK (2007) Exploring multi-scale trade-offs between nature conservation, agricultural profits and landscape quality—a methodology to support discussions on land-use perspectives. Agric Ecosyst Environ 120:59–69CrossRefGoogle Scholar
  8. Dessai S, Hulme M (2004) Does climate adaptation policy need probabilities? Clim Policy 4:107–128CrossRefGoogle Scholar
  9. Dunn SM, Chalmers N, Stalham M, Lilly A, Crabtree B, Johnston L (2003) Modelling the influence of irrigation abstractions on Scotland’s water resources. Water Sci Technol 48:127–134Google Scholar
  10. Durrant MJ, Love BJG, Messem AB, Draycott AP (1973) Growth of crops in relation to soil moisture extraction. Ann Appl Biol 74:387–394CrossRefGoogle Scholar
  11. EEA (2007) Climate change and water adaptation issues. European Environment Agency Technical Report 2/2007Google Scholar
  12. Ewert F, Rodriguez D, Jamieson P et al (2002) Effects of elevated CO2 and drought on wheat: testing crop simulation models for different experimental and climatic conditions. Agric Ecosyst Environ 93:249–266CrossRefGoogle Scholar
  13. FAO (2007) Land evaluation: towards a revised framework. Land & Water Discussion Paper 6. Food and Agriculture Organization of the United Nations, RomeGoogle Scholar
  14. FF MA (1988) Agricultural land classification of England and Wales: revised guidelines and criteria for grading the quality of agricultural land. MAFF, LondonGoogle Scholar
  15. Finnan JM, Burke JI, Jones MB (2002) The effect of elevated concentrations of carbon dioxide and ozone on potato (Solanum tuberosum L.) yield. Agric Ecosyst Environ 88:11–22CrossRefGoogle Scholar
  16. Fox IA, Walker S (2002) Abstraction and abstraction control in Scotland. Sci Total Environ 294:201–211CrossRefGoogle Scholar
  17. Freer-Smith PH, Broadmeadow MSJ, Lynch JM (2007) Forestry and climate change. CAB International, WallingfordCrossRefGoogle Scholar
  18. Gimona A, Birnie RV (2002) Spatio-temporal modelling of broad scale heterogeneity in soil moisture content: a basis for an ecologically meaningful classification of soil landscapes. Landsc Ecol 17:1–15CrossRefGoogle Scholar
  19. Gregory PJ, Simmonds LP (1992) Water relations and growth of potatoes. In: Harris P (ed) The potato crop: the scientific basis for improvement, 2nd edn. Chapman & Hall, London, pp 214–246Google Scholar
  20. Hall J (2007) Probabilistic climate scenarios may misrepresent uncertainty and lead to bad adaptation decisions. Hydrol Process 21:1127–1129CrossRefGoogle Scholar
  21. Hall DGM, Reeve MJ, Thomasson AJ, Wright VF (1977) Water retention, porosity and density of field soils. Soil Survey Technical Monograph No. 9, Rothamsted, UKGoogle Scholar
  22. Haverkamp R, Parlange JY (1986) Predicting the water-retention curve from particle-size distribution: 1. Sandy soils without organic matter. Soil Sci 142:325–379CrossRefGoogle Scholar
  23. Hay RKM, Russell G, Edwards TW (2000) Crop production in the east of Scotland. Scottish Agricultural Science Agency, EdinburghGoogle Scholar
  24. Hobbs RJ, Arico S, Aronson J et al (2006) Novel ecosystems: theoretical and management aspects of the new ecological world order. Glob Ecol Biogeogr 15:1–7CrossRefGoogle Scholar
  25. Holden NM, Breteton AJ, Fealey F, Sweeney J (2003) Possible change in Irish climate and its impact on barley and potato yields. Agric For Meteorol 116:181–196CrossRefGoogle Scholar
  26. Holman IP, Nicholls RJ, Berry PM, Harrison PA, Audsley E, Shackley S et al (2005) A regional, multi-sectoral and integrated assessment of the impacts of climate and socio-economic change in the UK: II Results. Clim Chang 71:9–41CrossRefGoogle Scholar
  27. Hossell JE, Temple ML, Finlay I, Gay A, Oakley J, Symmonds W et al (2002) Identifying and costing agricultural responses under climate change scenarios (ICARUS). Final Report. ADAS, WolverhamptonGoogle Scholar
  28. Isaaks EH, Srivastava RM (1989) An introduction to applied geostatistics. Oxford University Press, LondonGoogle Scholar
  29. Jones RJA, Zdruli P, Montanarella L (2000) The estimation of drought risk in Europe from soils and climate data. In: Vogt JF, Somma F (eds) Drought and drought mitigation in Europe. Kluwer, Netherlands, pp 133–146Google Scholar
  30. Jones PD, Kilsby CG, Harpham C, Glenis V, Burton A (2009) UK climate projections science report: projections of future daily climate for the UK from the weather generator. University of Newcastle, UKGoogle Scholar
  31. Klingebiel AA, Montgomery PH (1961) Land capability classification. Agricultural Handbook 210, Department of Agriculture, WasingtonGoogle Scholar
  32. Knox JW, Weatherhead K, Ioris AR (2007) Assessing water requirements for irrigated agriculture in Scotland. Water Int 32:133–144CrossRefGoogle Scholar
  33. MacDonald A, Matthews KB, Paterson E, Aspinall RJ (1994) The impact of climate change on the soil moisture regime of Scottish mineral soils. Environ Pollut 83:245–250CrossRefGoogle Scholar
  34. MacRae SG, Burnham CP (1981) Land evaluation. Clarendon Press, OxfordGoogle Scholar
  35. Marsh TJ, Anderson JL (2002) Assessing the water resources of Scotland—perspectives, progress and problems. Sci Total Environ 294:13–27CrossRefGoogle Scholar
  36. Matthews KB, Rivington M, Buchan K, Miller D, Bellocchi G (2008) Characterising the agro-meteorological implications of climate change scenarios for land management stakeholders. Clim Res 37:59–75CrossRefGoogle Scholar
  37. Murphy JM, Booth BBB, Collins M, Harris GR, Sexton DMH, Webb MJ (2007) A methodology for probabilistic predictions of regional climate change from perturbed physics ensembles. Phil Trans R Soc A 365:1993–2028CrossRefGoogle Scholar
  38. Murphy JM, Sexton DMH, Jenkins GJ et al (2009) UK climate projections science report: climate change projections. Met Office Hadley Centre, ExeterGoogle Scholar
  39. New M, Lopez A, Dessai S, Wilby R (2007) Challenges in using probabilistic climate change information for impact assessments: an example from the water sector. Phil Trans R Soc A 365:2117–2131CrossRefGoogle Scholar
  40. OECD (2001) Multifunctionality: towards an analytical framework. OECD, ParisGoogle Scholar
  41. Olesen JE, Bindi M (2002) Consequences of climate change for European agricultural productivity, land use and policy. Eur J Agron 16:239–262CrossRefGoogle Scholar
  42. Penman HL (1948) Natural evaporation from open water, bare soil and grass. Phil Trans Roy Soc A 193:120–145Google Scholar
  43. Perry M, Hollis D (2005) The generation of monthly gridded datasets for a range of climatic variables over the UK. Int J Climatol 25:1041–1054CrossRefGoogle Scholar
  44. Popper SW, Lempert RJ, Bankes SC (2005) Shaping the future. Sci Am 292:66–71CrossRefGoogle Scholar
  45. Rawls WJ, Pachepsky YA, Ritchie JC, Sobecki TM, Bloodworth H (2003) Effect of soil organic carbon on soil water retention. Geoderma 116:61–76CrossRefGoogle Scholar
  46. Rougier J (2007) Probabilistic inference for future climate using an ensemble of climate model evaluations. Clim Chang 81:247–264CrossRefGoogle Scholar
  47. Salter PJ, Williams JB (1965) The influence of texture on the moisture characteristics of soils. II. Available-water capacity and moisture release characteristics. J Soil Sci 16:310–317CrossRefGoogle Scholar
  48. Smit B, Skinner MW (2002) Adaptation options in agriculture to climate change: a typology. Mitig Adapt Strateg Glob Chang 7:85–114CrossRefGoogle Scholar
  49. Stainforth DA, Downing TE, Washington R, Lopez A, New M (2007) Issues in the interpretation of climate model ensembles to inform decisions. Phil Trans R Soc A 365:2163–2177CrossRefGoogle Scholar
  50. Stalham MA, Allen EJ (2001) Effect of variety, irrigation regime and planting date on depth, rate, duration and density of root growth in the potato (Solanum tuberosum) crop. J Agric Sci 137:251–270CrossRefGoogle Scholar
  51. Stalham MA, Allen EJ (2004) Water uptake in the potato (Solanum tuberosum) crop. J Agric Sci 142:373–393CrossRefGoogle Scholar
  52. Stalham MA, Allen EJ, Rosenfeld AB, Herry FX (2007) Effects of soil compaction in potato (Solanum tuberosum) crops. J Agric Sci 145:295–312CrossRefGoogle Scholar
  53. Stephenson NL (1998) Actual evapotranspiration and deficit: biologically meaningful correlates of vegetation distribution across spatial scales. J Biogeogr 25:855–870CrossRefGoogle Scholar
  54. Thomasson AJ (1979) Assessment of average soil droughtiness. In: Soil survey applications: soil survey technical monograph no. 13. Soil Survey, Harpenden, pp 43–50Google Scholar
  55. Thomasson AJ (1995) Assessment of soil water reserves available for plants (SWAP): a review. In: King D, Jones RJA, Thomasson AJ (eds) European land information systems for agro-environmental monitoring. Office for Official Publications of the European Communities, Luxembourg, pp 115–130Google Scholar
  56. Thomasson AJ, Jones RJA (1989) Land evaluation at regional scale. In: Bouma J, Bregt AK (eds) Land qualities in space and time. Pudoc, Wageningen, pp 231–240Google Scholar
  57. Thomasson AJ, Jones RJA (1991) An empirical approach to crop modelling and the assessment of land productivity. Agric Syst 34:351–367CrossRefGoogle Scholar
  58. van der Linden P, Mitchell JFB (eds) (2009) ENSEMBLES: climate change and its impacts: summary of research and results from the ENSEMBLES project. Met Office Hadley Centre, ExeterGoogle Scholar
  59. Wall E, Smit B (2005) Climate change adaptation in light of sustainable agriculture. J Sustain Agric 27:113–123CrossRefGoogle Scholar
  60. Wiebe K (2003) Land quality, agricultural productivity and food security. Edward Elgar, CheltenhamGoogle Scholar
  61. Wilby RL, Troni J, Biot Y, Tedd L, Hewitson BC, Smith DM et al (2009) A review of climate risk information for adaptation and development planning. Int J Climatol 29:1193–1215CrossRefGoogle Scholar
  62. Wösten JHM, Pachepsky YA, Rawls WJ (2001) Pedotransfer functions: bridging the gap between available basic soil data and missing soil hydraulic characteristics. J Hydrol 251:123–150CrossRefGoogle Scholar
  63. Wu D-X, Wang G-X, Bai Y-F, Liao J-X (2004) Effects of elevated CO2 concentration on growth, water use, yield and grain quality of wheat under two soil water levels. Agric Ecosyst Environ 104:493–507CrossRefGoogle Scholar
  64. Zdruli P, Jones RJA, Montanarella L (2001) Use of soil and climate data to assess the risk of agricultural drought for policy support in Europe. Agronomic 21:45–56CrossRefGoogle Scholar

Copyright information

© Springer-Verlag 2010

Authors and Affiliations

  • Iain Brown
    • 1
  • Laura Poggio
    • 1
  • Alessandro Gimona
    • 1
  • Marie Castellazzi
    • 1
  1. 1.Macaulay Land Use Research InstituteAberdeenUK

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