Development and evaluation of ForestGrowth-SRC a process-based model for short rotation coppice yield and spatial supply reveals poplar uses water more efficiently than willow

GCB Bioenergy

Volumn 5, Issue 1, 2013, Pages 53-66

  Tallis, Matthew J ^a   Casella, Eric ^b   Henshall, Paul A ^b   Aylott, Matthew J ^a   Randle, Timothy J ^b   Morison, James I L ^b   Taylor, Gail ^a  

^a UNIVERSITY OF SOUTHAMPTON   (United Kingdom)

^b FOREST RESEARCH   (United Kingdom)

Author keywords

Bioenergy; Evapotranspiration; Populus; Salix; Spatial biomass supply; Water use efficiency

Indexed keywords

BIOMASS; CLIMATE MODELS; EFFICIENCY; EVAPOTRANSPIRATION; FORECASTING; WATER SUPPLY;

BIO-ENERGY; BIOMASS SUPPLY; POPULUS; SALIX; WATER USE EFFICIENCY;

FORESTRY;

EID: 84870700096     PISSN: 17571693     EISSN: 17571707     Source Type: Journal    
DOI: 10.1111/j.1757-1707.2012.01191.x     Document Type: Article

References (90)

1. 2 enrichment (FACE)? A meta-analytic review of the responses of photosynthesis canopy. New Phytologist, 165, 351-371.
2. Armstrong A (1997) The United Kingdom Network of Experiments on Site/Yield Relationships for Short Rotation Coppice. Forestry Commission Research Information, Forestry Commission, Edinburgh. Note 294, 6 pp.
3. Aylott M, Casella E, Tubby I, Street NR, Smith P, Taylor G (2008a) Yield and spatial supply of bioenergy poplar and willow short rotation coppice in the UK. New Phytologist, 178, 358-370.
4. Aylott M, Casella E, Tubby I, Street NR, Smith P, Taylor G (2008b) Corrigendum. New Phytologist, 178, 897-897.
5. Aylott MJ, Casella E, Farrall K, Taylor G (2010) Estimating the supply of biomass from short-rotation coppice in England, given social, economic and environmental constraints to land availability. Biofuels, 1, 719-727.
6. Baldwin M, Henshall P, Matthews R, Morgan G, Poole J, Taylor P, Tubby I (2007) Final Report: Yield models for Energy: Coppice of Poplar and willow. Volume A - Empirical Models. Report to DTI (B/W2/00624/00/00 URN). (ed. Tubby I, Poole J), 91pp. http://www.biomassenergycentre.org.uk/pls/portal/docs/PAGE/BEC_TECHNICAL/RESEARCH%20AND%20STUDIES/ENERGY%20CROP%20STUDIES/YIELD%20MODELS%20FOR%20SRC%20A.PDF
7. Ball JT, Woodrow IE, Berry JA (1987) A model predicting stomatal conductance and its contribution to the control of photosynthesis under different environmental conditions. In: Progress in Photosynthesis Research, vol 4, (eds Biggins J, Nijhoff M), pp. 221-224. Dordrecht, the Netherlands.
8. Bauen AW, Dunnett AJ, Richter GM, Dailey AG, Aytoll M, Casella E, Taylor G (2010) Modelling supply and demand of bioenergy from short rotation coppice and Miscanthus in the UK. Bioresource Technology, 101, 8132-8143.
9. Baum C, Leinweber P, Weih M, Lamersdorf N, Dimitriou I (2009) Effects of short rotation coppice with willows and poplar on soil ecology. Landbauforschung - vTI. Agriculture and Forestry Research, 59, 183-196.
10. Beringer T, Lucht W, Schaphoff S (2011) Bioenergy production potential of global biomass plantations under environmental and agricultural constraints. GCB Bioenergy, 3, 299-312.
11. Bullard MJ, Mustill SJ, Carver P, Nixon PMI (2002) Yield improvements through modification of planting density and harvest frequency in short rotation coppice Salix spp.-2 Resource capture and use in two morphologically diverse varieties. Biomass and Bioenergy, 22, 27-39.
12. von Caemmerer S, Farquhar GD (1981) Some relationships between the biochemistry of photosynthesis and the gas exchange of leaves. Planta, 153, 376-387.
13. Campbell GS (1985) Soil physics with BASIC, transport models for soil-plant systems. Developments in Soil Science, 14, 98-107.
14. Cannell MGR, Smith RI (1983) Thermal Time, Chill Days and Prediction of Budburst in Picea sitchensis. Journal of Applied Ecology, 20, 951-963.
15. Casella E, Ceulemans R (2002) Spatial distribution of leaf morphological and physiological characteristics in relation to local radiation regime within 3-year-old Populus clones under coppice culture. Tree Physiology, 22, 1277-1288.
16. Casella E, Sinoquet H (2003) A method for describing the canopy architecture of coppice poplar with allometric relationships. Tree Physiology, 23, 1153-1170.
17. Casella E, Sinoquet H (2007) Botanical determinants of foliage clumping and light interception in 2-year-old coppiced poplar canopies: assessment from 3-D plant mock-ups. Annals of Forest Science, 64, 395-404.
18. Cochard H, Casella E, Mencuccini M (2007) Xylem vulnerability to cavitation varies among poplar and willow clones and correlates with yield. Tree Physiology, 27, 1761-1767.
19. Deckmyn G, Laureysens I, Garcia J, Muys B, Cuelmans R (2004) Poplar growth and yield in short rotation coppice: model simulations using the process model SECRETS. Biomass and Bioenergy, 25, 221-227.
20. Deckmyn G, Evans SP, Randle TJ (2006) Refined pipe theory for mechanistic modeling of wood development. Tree Physiology, 25, 703-717.
21. DEFRA (2004). Best Practice Guidelines for Applicants to DEFRA's Energy Crops Scheme. Growing Short Rotation Coppice. Crown Publications. London, UK, Crown Copyight
22. van Dijk AIJM, Bruijnzeel LA (2001) Modelling rainfall interception by vegetation of variable density using an adapted analytical model Part 1. Model description. Journal of Hydrology, 247, 230-238.
23. Dimitriou G, Busch S, Jacobs P, Schmidt-Walter N (2009) A review of the impacts of Short Rotation Coppice cultivation on water issues Landbauforschung vTI. Agriculture and Forestry Research, 59, 197-206.
24. Dimitriou G, Baum C, Baum S (2011) Quantifying environmental effects of short rotation coppice (SRC) on biodiversity, soil and water. IEA BIOENERGY: Task 43, 2011, 01 (http://142.150.176.36/task43/images/publications/Task%2043%20reports/Quantifying%20environmental%20effects%20of%20SRC%20final.pdf).
25. Directive 2009/28/EC; http://eur-lex.europa.eu/LexUriServ/LexUriServ.do?uri=OJ:L:2009:140:0016:0062:en:PDF
26. Don A, Osborne B, Hastings A et al. (2011). Land-use change to bioenergy production in Europe: implications for the greenhouse gas balance and soil carbon. GCB Bioenergy, 4, 372-391.
27. Dowell RC, Gibbins D, Rhoads JL, Pallardy SG (2009) Biomass production physiology and soil carbon dynamics in short-rotation-grown Populus deltoides and P. deltoides X P. nigra hybrids. Forest Ecology and Management, 257, 134-142.
28. Eisentraut A (2010) Sustainable production of second-generation biofuels: Potential and perspectives in major economies and developing countries. International Energy Agency. OECD/IEA, Paris, France.
29. Evans SP, May TR, Hollis JM, Brown CD (1999) SWBCM: a soil water balance capacity model for environmental applications in the UK. Ecological Modelling, 121, 17-49.
30. Evans SP, Randle T, Henshall P, Taylor P (2002) MEFYQUE - ANNUAL REPORT (Year 1: 2001-2002) Annex II: Progress Report. Project QLK5-CT-2001-00345103 Annex H. Annex H. Weather generator report.
31. Evans S, Randle T, Henshall P, Arcangeli C, Pellenq J, Lafont S Vials C (2005a) Recent advances in the mechanistic modelling of forest stand and catchments. In: Forest Research Annual Report and Accounts 2003-2004 pp.98-111, The Stationery Office, Edinburgh, UK. (http://www.forestry.gov.uk/pdf/fr_report2003_4_modelling.pdf/$FILE/fr_report2003_4_modelling.pdf)
32. Evans S, Randle T, Henshall P et al. (2005b) The MEFYQUE stand model - ForestGrowth, with the ETp engine. In: Final Report: Forest and Timber Quality in Europe: Modelling and Forecasting Yield and Quality in Europe (ed Randle T). http://www.efi.int/files/attachments/research/project_db/mefyque_finalpublication_mainv2.pdf
33. Evans SP, Randle T, Henshall P (2005c) A coupled soil-forest-atmosphere dynamic model for predicting evapo-transpiration (ETp) demands at the plot and landscape scales in the UK. MEFYQUE - Final Report: Appendices Project QLK5-CT-2000-00345. Appendix I. http://www.efi.int/files/attachments/research/project_db/mefyque_finalpublication_appendix.pdf)
34. FAO (2008). The State of Food and Agriculture. Biofuels, Prospects Risks and Opportunities. Food and Agriculture Organization of the United Nations, Rome, 2008
35. FAO/IIASA/ISRIC/ISSCAS/JRC (2009). Harmonized World Soil Database (version 1.1). FAO, Rome, Italy and IIASA, Laxenburg, Austria.
36. Farquhar GD, von Caemmerer S, Berry JA (1980) A biochemical model of photosynthetic CO2 assimilation in leaves of C3 plants. Planta, 149, 78-90.
37. Feddes RA, Bresler E, Neuman SP (1974) Field test of a modified numerical model for water uptake by root systems. Water Resources Research, 10, 1199-1206.
38. Friend AD (1995) PGEN: an integrated model of leaf photosynthesis, transpiration, and conductance. Ecological Modelling, 77, 233-255.
39. 14C distribution. Tree Physiology, 8, 109-119.
40. Gallagher (2008) The Gallagher Review of the Indirect Effects of Biofuels Production. Renewable fuels agency, East Sussex, UK.
41. Gash JHC, Lloyd CR, Lachaud G (1995) Estimating sparse forest rainfall interception with an analytical model. Journal of Hydrology, 170, 79-85.
42. Gerbens-Leenes PW, Hoekstra AY, van der Meer Th (2009) The water footprint of energy from biomass: a quantitative assessment and consequences of an increasing share of bio-energy in energy supply. Ecological Economics, 68, 1052-1060.
43. 2 on natural and managed Populus: a literature review. Environmental pollution, 115, 335-358.
44. 2 enrichment. Tree Physiology, 25, 1399-1408.
45. Hall RL (2003) Short rotation coppice for energy production hydrological guidelines [online]. http://www.berr.gov.uk/files/file14960.pdf.
46. Hall RL, Allen SJ, Rosier PTW, Hopkins R (1998) Transpiration from coppiced poplar and willow measured using sap flow methods. Agricultural and Forest Meteorology, 90, 275-290.
47. Hastings A, Clifton-Brown J, Wattenbach M, Mitchell CP, Smith P (2009) The development of MISCANFOR, a new Miscanthus crop growth model: towards more robust yield predictions under different climatic and soil conditions. GCB Bioenergy, 1, 154-170.
48. Hillier J, Whittaker C, Dailey G et al. (2009) Greenhouse gas emissions from four bioenergy crops in England and Wales: Integrating spatial estimates of yield and soil carbon balance in life cycle analyses. GCB Bioenergy, 1, 267-281.
49. Hollis JM, Woods SM (1989) The Measurement and Estimation of Saturated Soil Hydraulic Conductivity. Report to MAFF, Soil Survey and Land Research Centre, Cranfield University, UK.
50. IEA (2009) Bioenergy - Asustainable and reliable energy source. A review of status and prospects, Bauen A, berndes G, Junginger M, Londo M, Vuille F.IEA Bioenergy ExCo:2009:05
51. IEA (2010) Energy Technology Perspectives 2010: Scenarios and Strategies to 2050. International Energy Agency (IEA), Paris.
52. IPCC (2007) Contribution of Working Group III to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change, Cambridge University Press, Cambridge, United Kingdom/New York, NY, USA.
53. 14C]-labeled photosynthates within intensively cultured Populus clones during the establishment year. Physiologia Plantarum, 59, 9-18.
54. Isebrands JG, Host GE, Bollmark L, Porter JR, Philppot S, Stevens E, Rushton K (1996) A strategy for process modelling of short-rotation Salix coppice plantations. Biomass and Bioenergy, 11, 245-252.
55. Jarvis NJ (1989) A simple empirical model of root water uptake. Journal of Hydrology, 107, 57-72.
56. Jongschaap REE, Blesgraaf RAR, Bogaard TA, van Loo EN, Savenije HHG (2009) The water footprint of bioenergy from Jatropha curcas L. Proceedings of the national Academy of Sciences of the United States of America, 106, E92.
57. Kirschbaum MUF, Watt MS, Tait A, Ausseil A-G E (2012) Future wood productivity of Pinus radiate in New Zealand under expected climate changes. Global Change Biology, 18, 1342-1356.
58. Korzukhin MD, Ter-Mikaelian MT, Wagner RG (1996) Process versus empirical models: which approach for forest ecosystem management? Canadian Journal of Forest Research, 26, 879-887.
59. 2 stimulation of poplar productivity to above-ground pools: a synthesis of leaf to stand level results from the POP/EUROFACE experiment. New Phytologist, 182, 331-346.
60. Lindegaard KN, Carter MM, McCracken A et al. (2011) Camparative trials of elite Swedish and UK biomass willow varieties 2001-2010. Aspects of Applied Biology, 112, 57-66.
61. Linderson ML, Iritz Z, Lindroth A (2007) The effect of water availability on stand-level productivity, transpiration, water use efficiency and radiation use efficiency of field-grown willow clones. Biomass and Bioenergy, 31, 460-468.
62. 2 concentrations: has its importance been underestimated? Plant, Cell and Environment, 14, 729-739.
63. Long SP, Ainsworth EA, Rogers A, Ort DR (2004) Rising atmospheric carbon dioxide: plants FACE the future. Annual Review of Plant Biology, 55, 591-628.
64. Lovett AA, Sünnerberg GM, Richter GM, Dailey AG, Riche AB, Karp A (2009) Land use implications of increased biomass production identified by GIS-based suitability and yield mapping for Miscanthus in England. Bioenergy Research, 2, 17-28.
65. Martin PJ, Stephens W (2006) Willow growth in response to nutrients and moisture on a clay landfill cap soil I. Growth and biomass production. Bioresource Technology, 97, 437-448.
66. Merilo E, Heinsoo K, Kull O, Koppel A (2006) Above-ground production of two willow species in relation to radiation interception and light use efficiency. Proceedings of the Estonian Academy of Sciences: Biology Ecology, 55, 341-354.
67. 2 concentrations and temperatures. Plant Cell and Environment, 16, 1-13.
68. Monteith J (1965) Evaporation and environment. Symposium of the Society for Experimental Biology, 19, 205-234.
69. Monteith JL, Unsworth MH (1990) Principles of Environmental Physics (2nd edn). Edward Arnold, London.
70. Norman JM (1980) Interfacing leaf and canopy light interception models. In: Predicting photosynthesis for ecosystem models, Vol 2, (eds Hesketh JD, Jones JW), pp. 49-67. CRC Press, West Palm Beach, Florida, USA.
71. Perry M, Hollis D (2005) The generation of monthly gridded datasets for a range of climatic variables over the UK. International Journal of Climatology, 25, 1041-1054. http://www.metoffice.gov.uk/climatechange/science/monitoring/ukcp09/available/index.html)
72. Pfister S, Hellweg S (2009) The water ''shoesize'' vs. footprint of bioenergy. Proceedings of the National Academy of Sciences of the United States of America, 106, E93-E94.
73. Pogson M, Hastings A, Smith P (2012) Sensitivity of crop model predictions to entire meteorological and soil input datasets highlights vulnerability to drought. Environmental Modelling & Software, 29, 37-43.
74. Proe MF, Griffiths JH, Craig J (2002) Effects of spacing, species and coppicing on leaf area, light interception and photosynthesis in short rotation forestry. Biomass and Bioenergy, 23, 315-326.
75. de Pury DGG, Farquhar GD (1997) Simple scaling of photosynthesis from leaves to canopies without the errors of big-leaf models. Plant, Cell and Environment, 20, 537-557.
76. Rae AM, Pinel MPC, Bastien C et al. (2008) QTL for yield in bioenergy Populus: identifying G× E interactions from growth at three contrasting sites. Tree Genetics & Genomes, 4, 97-112.
77. Richter GM, Semenov MA (2005) Modelling impacts of climate change on wheat yields in England and Wales: assessing drought risks. Agricultural systems, 84, 77-97.
78. Richter GM, Riche AB, Dailet SA, Gezan D, Powlson D (2008) Is UK biofuel supply from Miscanthus water-limited? Soil Use and Management, 24, 235-245.
79. Ritchie JT (1972) Model for predicting Evaporation from Row Crop with Incomplete Cover. Water Resources Research, 8, 1204-1213.
80. Rowe RL, Street NR, Taylor G (2009) Identifying potential environmental impacts of large-scale deployment of dedicated bioenergy crops in the UK. Renewable and Sustainable Energy Reviews, 13, 271-290.
81. Rowe RL, Hanley ME, Goulson D, Clarke DJ, Doncaster CP, Taylor G (2011a) Potential benefits of commercial willow short rotation coppice (SRC) for farm-scale plant and invertebrate communities in the agri-environment. Biomass and Bioenergy, 35, 325-336.
82. Rowe RL, Whitaker J, Freer-Smith PH et al. (2011b) Counting the cost of carbon in bioenergy systems: sources of variation and hidden pitfalls when comparing life cycle assessments. Biofuels, 2, 693-707.
83. Ross J, Ross V, Koppel A (2000) Estimation of leaf area and its vertical distribution during growth period. Agricultural and Forest Meteorology, 101, 237-246.
84. Rytter RM (2001) Biomass production and allocation, including fine-root turnover, and annual N uptake in lysimeter-grown basket willows. Forest Ecology and Management, 140, 177-192.
85. Simota C, May T (1996) Predicting the soil water retention curve from readily-available data obtained during soil surveys. Int. Agrophysics, 10, 185-188.
86. Slade R, Saunders R, Gross R, Bauen A (2011) Energy From Biomass: The Size of the Global Resource. Imperial College Centre for Energy Policy and Technology and UK Energy Research Centre, London. (www.ukerc.ac.uk/support/tiki-download_file.php?fileId = 2098)
87. Tans P, Keeling R (2012). Dr. Pieter Tans, NOAA/ESRL (www.esrl.noaa.gov/gmd/ccgg/trends/) and Dr. Ralph Keeling, Scripps Institution of Oceanography (scrippsco2.ucsd.edu/).
88. VanLoocke A, Bernacchi C, Twine TE (2010) The impacts of Miscanthus x giganteus production on the Midwest US hydrologic cycle. Global Change Biology Bioenergy, 2, 180-191.
89. Volk TA, Abrahamson LP, Cameron KD (2011) Yields of willow biomass crops across a range of sites in North America. Aspects of Applied Biology, 112, 67-74.
90. Zalesny JA, Zalesny RS Jr, Coyle DR, Hall RB (2007) Growth and biomass of Populus irrigated with landfill leachate. Forest Ecology and Management, 248, 143-152.