Plant growth simulation for landscape-scale hydrological modelling

Hydrological Sciences Journal

Volumn 53, Issue 5, 2008, Pages 1030-1042

  Kiniry, Jim R ^a   MacDonald, J D ^b   Kemanian, Armen R ^c   Watson, Brett ^d   Putz, Gordon ^d   Prepas, Ellie E ^e  

^a AGRICULTURAL RESEARCH SERVICE   (United States)

^b AGRICULTURE AND AGRI FOOD CANADA   (Canada)

^c BLACKLAND RESEARCH AND EXTENSION CENTER   (United States)

^d UNIVERSITY OF SASKATCHEWAN   (Canada)

^e LAKEHEAD UNIVERSITY   (Canada)

Author keywords

Beer's law; Forestry modelling; Leaf area index; Plant simulation; Radiation use efficiency

Indexed keywords

BEVERAGES; BIOGEOCHEMISTRY; DEFORESTATION; ECOSYSTEMS; FORESTRY; MODELS; PHYSIOLOGICAL MODELS; PLANT LIFE EXTENSION; PROJECT MANAGEMENT;

ACCURATE SIMULATIONS; BEER'S LAW; BIOGEOCHEMICAL CYCLES; FOREST ECOSYSTEMS; FOREST FIRES; HYDROLOGICAL MODELS; INSECT INFESTATIONS; LEAF AREA INDEX; MODELLING; PERENNIAL GRASSES; PHYSICAL PROCESSES; PLANT GROWTHS; PLANT MODELS; PLANT SIMULATION; PROCESS-ORIENTED; RADIATION USE EFFICIENCY; SIMULATING; SIMULATION ACCURACIES; TIME-STEP; TRANSPORT MODELS; VEGETATION CHANGES; WOODY SPECIES;

HYDRAULIC MODELS;

CONFERENCE PROCEEDING; FORESTRY MODELING; HYDROLOGICAL MODELING; LEAF AREA INDEX; LIGHT USE EFFICIENCY; TRANSPORT PROCESS;

ECOSYSTEMS; FARM CROPS; FOLIAR ANALYSIS; FORESTRY; GROWTH; HYDROLOGY; PLANTS; SIMULATION;

HEXAPODA; POACEAE;

EID: 54349118968     PISSN: 02626667     EISSN: None     Source Type: Journal    
DOI: 10.1623/hysj.53.5.1030     Document Type: Conference Paper

References (64)

1. Amos, B. & Walters, D. T. (2006) Maize root biomass and net rhizodeposited carbon: an analysis of the literature. Soil Sci. Soc. Am. J. 70, 1489-1503.
2. Arnold, J. G., Srinivasan, R., Muttiah, R. S. & Williams, J. R. (1998) Large area hydrologic modelling and assessment, Part I. Model development. J. Am. Water Resour. Assoc. 34, 73-89.
3. Arnold, J. G. & Fohrer, N. (2005) SWAT2000: current capabilities and research opportunities in applied watershed modelling. Hydrol. Processes 19, 563-572.
4. Aussenac, G. & Boulangeat, C. (1980) Rainfall interception and actual evapotranspiration in broadleaved (Fagus sylvatica) and coniferous (Pseudotsuga mensiesii) stands. Ann. Sci. Forest. 37, 91-107.
5. Bartelink, H. H. (2000) A growth model for mixed forest stands. For. Ecol. Manage. 134, 29-43.
6. Beckingham J. D. & Archibald, J. H. (1996) Field guide to ecosites of northern Alberta. Special Report 5, Canadian Forest Service.
7. Bolinder, M. A., Janzen, H. H., Gregorich, E. G., Angers, D. A. & VandenBygaart, A. J. (2007) An approach for estimating net primary productivity and annual carbon inputs to soil for common agricultural crops in Canada. Agric, Ecosyst. Environ. 118, 29-42.
8. Bonan, G. B. (1991) A biophysical surface energy budget analysis of soil temperature in the Boreal Forests of interior Alaska. Water Resour. Res. 27, 767-781.
9. Bosch, J. M. & Hewlett, J. D. (1982) A review of catchment experiments to determine the effect of vegetation changes on water yield and evapotranspiration. J. Hydrol. 55, 3-23.
10. Botkin, D. B., Janak, J. F. & Wallis, J. R. (1972) Some ecological consequences of a computer model of forest growth. J. Ecol. 60, 849-872.
11. Burke, J. M., Prepas, E. & Pinder, S. (2005) Runoff and phosphorus export patterns in large forested watersheds on the western Canadian Boreal Plain before and for 4 years after wildfire. J. Environ. Engng Sci. 4, 319-325.
12. Campbell, G. S. (1985) Solar Physics with BASIC: Transport Models for Soil-Plant Systems. Elsevier, Amsterdam.
13. Campbell, G. S. (1991) Simulation of water uptake by plants roots. In: Modelling plant and soil systems (ed. by J. Hanks & J. T. Ritchie). Am. Soc. Agron. Mono. 31, 273-285.
14. Chen, J., Saunders, S. C., Crow, T. R., Naiman, R. J., Brosofske, K. D., Mroz, G. D., Brookshire, B. L. & Franklin, J. F. (1999) Microclimate in forest ecosystem and landscape ecology. BioScience 49, 288-297.
15. Choudhury, B. J. & Idso, S. B. (1985) Evaluating plant canopy resistance of field-grown wheat from concurrent diurnal observations of leaf water potential, stomatal resistance, canopy temperature, and evapotranspiration flux. Agric. For. Met. 34, 67-76.
16. Cowan, I. R. (1977) Stomatal behaviour and environment. Adv. Bot. Res. 4, 117-228.
17. Debaeke, P., Caussanel, J. P., Kiniry, J. R., Kafiz, B. & Mondragon, G. (1997) Modelling crop-weed interactions in wheat with ALMANAC. Weed Res. 37, 325-341.
18. Gower, S. T., Hunter, A., Campbell, J., Vogel, J., Veldhuis, H., Harden, J., Trumbore, S., Norman, J. M. & Kucharik, C. J. (2000) Nutrient dynamics of the southern and northern BOREAS boreal forests. Ecoscience 7, 481-490.
19. Hagen-Thorn, A., Armolaitis, K., Callesen, I. & Stjernquist, I. (2004) Macronutrients in tree stems and foliage: a comparative study of six temperate forest species planted at the same sites. Ann. For. Sci. 61, 489-498.
20. Jara, J. & Stöckle, C. O. (1999) Simulation of water uptake in maize, using different levels of process detail. Agron. J. 91, 256-265.
21. Jovanovic, N. & Annandale, J. G. (1998) Measurement of radiant interception of crop canopies with the LAI-2000 plant canopy analyzer. S. Afr. Tydskr. Plant Grond 15, 6-13.
22. Kemanian, A. R., Stöckle, C. O. & Huggins, D. R. (2005) Barley transpiration-use efficiency. Agric. For. Met. 130, 1-11.
23. Kemanian, A. R., Stöckle, C. O. & Huggins, D. R. (2007) Estimating grain and straw nitrogen concentration in grain crops based on aboveground nitrogen concentration and harvest index. Agron. J. 99, 158-167.
24. Kimmins, J. P., Mailly, D. & Seely, B. (1999) Modelling forest ecosystem net primary production: the hybrid simulation approach used in FORECAST. Ecol. Model. 122, 195-224.
25. Kiniry, J. R. (1999) Response to questions by Sinclair and Muchow. Field Crops Res. 62, 245-247.
26. Kiniry, J. R. & Bockholt, A. J. (1998) Maize and sorghum simulation in diverse Texas environments. Agron. J. 90, 682-687.
27. Kiniry, J. R., Williams, J. R., Gassman, P. W. & Debaeke, P. (1992) A general process-oriented model for two competing plant species. Trans. Am. Soc. Agric. Engrs 35, 801-810.
28. Kiniry, J. R., Sanderson, M. A., Williams, J. R., Tischler, C. R., Hussey, M. A., Ocumpaugh, W. R., Read, J. C., VanEsbroeck, G. & Reed, R. L. (1996) Simulating Alamo switchgrass with the ALMANAC model. Agron J. 88, 602-606.
29. Kiniry, J. R., Williams, J. R., Vanderlip, R. L., Atwood, J. D., Reicosky, D. C., Mulliken, J., Cox, W. J., Mascagni, H. J. Jr, Hollinger, S. E. & Wiebold, W. J. (1997) Evaluation of two maize models for nine U.S. locations. Agron. J. 89, 421-426.
30. Kiniry, J. R., Sanchez, H., Greenwade, J., Seidensticker, E., Bell, J. R., Pringle, F., Peacock, G. Jr & Rives, J. (2002) Simulating grass productivity on diverse range sites in Texas. J. Soil & Water Conserv. 57, 144-150.
31. Kiniry, J. R., Cassida, K. A., Hussey, M. A., Muir, J. P., Ocumpaugh W. R., Read, J. C., Reed, R. L., Sanderson, M. A., Venuto, B. C. & Williams, J. R. (2005) Switchgrass simulation by the ALMANAC model at diverse sites in the southern US. Biomass & Bioenergy 29, 419-425.
32. Kiniry, J. R., Burson, B. L., Evers, G. W., Williams, J. R., Sanchez, H., Wade, C., Featherston, J. W. & Greenwade, J. (2007) Coastal bermudagrass, bahiagrass, and native range simulation at diverse sites in Texas. Agron. J. 99, 450-461.
33. Knapik, L. J. & Lindsay, J. D. (1983) Reconnaissance soil survey of the Iosequit Lake Area, Alberta. Report no. 43, Alberta Research Council, Edmonton, Alberta, Canada.
34. Landsberg, J. J. & Waring, R. H. (1997) A generalised model of forest productivity using simplified concepts of radiation use efficiency, carbon balance and partitioning. For. Ecol. Manage. 95, 209-228.
35. Lizaso, J. I., Batchelor, W. D., Westgate, M. E. & Escharte, L. (2003) Enhancing the ability of CERES-Maize to compute light capture. Agric. Systems 76, 293-311.
36. MacDonald, J. D., Kiniry, J., Arnold, J., McKeown, R., Whitson, I., Putz, G. & Prepas, E. E. (2005) Developing parameters to simulate trees with SWAT. In: Proc. Third Int. SWAT 2000 Conf. (Zurich, Switzerland, 11-15 July 2005) (ed. by K. Abbaspour & R. Srinivasan). Texas Water Resources Institute, College Station, Texas, USA.
37. MacDonald, J. D., Kiniry, J., Arnold, J., McKeown, R., Whitson, I., Putz, G. & Prepas, E. E. (2008) A multi-species, process based vegetation simulation model to estimate important variables in evapotranspiration after forest disturbance. J. Environ. Eng. Sci. (in press).
38. McLaughlin, S. B., Kiniry, J. R., Taliaferro, C. M. & Ugarte, D. D. (2006) Projecting yield and utilization potential of switchgrass as an energy crop. Adv. Agron. 90, 267-297.
39. Meek, D. W., Hatfield, J. L., Howell, T. A., Idso, S. B. & Reginato, R. J. (1984) A generalized relationship between photosynthetically active radiation and solar radiation. Agron. J. 76, 939-945.
40. Monsi, M. & Saeki, T. (1953) Über den Lichtfaktor in den Pflanzengesellschaften und seine Bedeutung fur die Stoffproduktion. Japan J. Bot. 14, 22-52.
41. Monteith, J. L. (1965) Radiation and crops. Experim. Agric. 1, 241-251.
42. Monteith, J. L. & Unsworth, M. H. (1990) Principles of Environmental Physics. Edward Arnold, London, UK.
43. Mott, K. A. & Parkhurst, D. F. (1991) Stomatal responses to humidity in air and helox. Plant Cell Environ. 14, 509-515.
44. Peng, C., Liu, J., Dang, Q., Apps, M. J. & Hong, J. (2002) TRIPLEX: a generic hybrid model for predicting forest growth and carbon and nitrogen dynamics. Ecol. Model. 153, 109-130.
45. Prepas, E. E., Burke, J. M., Whitson, I. R., Putz, G. & Smith, D. W. (2006) Associations between watershed characteristics, runoff, and stream water quality: hypothesis development for watershed disturbance experiments and modelling in the Forest Watershed and Riparian Disturbance (FORWARD) Project. J. Environ. Engng Sci. 5, 27-37.
46. Prescott, C. E. (2002) The influence of the forest canopy on nutrient cycling. Tree Physiol. 22, 1193-1200.
47. Prescott, C. E., Zabek, L. M., Staley, C. L. & Kabzems, R. (2000) Decomposition of broadleaf and needle litter in forests of British Columbia: influences of litter type, forest type, and litter mixtures. Can. J. For. Res. 30, 1742-1750.
48. Putz, G., Burke, J. M., Smith, D. W., Chanasyk, D. S., Prepas, E. E. & Mapfuma, E. (2003) Modelling the effects of boreal forest landscape management upon streamflow and water quality: Basic concepts and considerations. J. Environ. Engng Sci. 2, S87-S101.
49. Ritchie, J. T. (1972) Model for predicting evaporation from a row crop with incomplete cover. Water Resour. Res. 8, 1204-1213.
50. Running, S. W. & Coughlin, J. C. (1988) General model of forest ecosystem processes for regional applications, hydrological balance, canopy gas exchange and primary production processes. Ecol. Model. 42, 125-154.
51. Seely, B., Welham, C. & Kimmins, H. (2002) Carbon sequestration in a boreal forest ecosystem: results from the ecosystem simulation model, FORECAST. For. Ecol. Manage. 169, 123-135.
52. Smith, D. W., Prepas, E. E., Putz, G., Burke, J. M., Meyer, W. L. & Whitson, I. (2003) The forest watershed and riparian disturbance study: a multi-disciplinary initiative to evaluate and manage watershed disturbance on the boreal plain of Canada. J. Environ. Engng Sci. 2, S1-S13.
53. Sperry, J. S., Adler, F. R., Campbell, G. S. & Comstock, J. P. (1998) Limitation of plant water use by rhizosphere and xylem conductance: results from a model. Plant, Cell & Environ. 21, 2347-2359.
54. Srinivasan, R., Arnold, J. G., Muttiah, R. S., Walker, C. & Dyke, P. T. (1993) Hydrologic Unit Model for the United States (HUMUS). In: Proc. Advances in Hydro-Science and Engineering, 451-456. University of Mississippi, Mississippi State, Mississippi, USA.
55. Stiller, V., Renee Lafitte, H. & Sperry, J. S. (2003) Hydraulic properties of rice and the response of gas exchange to water stress. Plant Physiol. 132, 1698-1706.
56. Stöckle, C. O., Donatelli, M. & Nelson, R. (2003) CropSyst, a cropping system simulation model. Europ. J. Agron. 18, 289-307.
57. Tardieu, F., Katerji, N., Bethenod, O., Zhange, J. & Davies, W. J. (1991) Maize stomatal conductance in the field, its relationship with soil and plant water potentials, mechanical constraints and ABA concentration in the xylem sap. Plant Cell Environ. 14, 121-124.
58. Ter-Mikaelian, M. T. & Korzukhin, M. D. (1997) Biomass equations for sixty-five North American tree species. For. Ecol. Manage. 97, 1-24.
59. Wang, E. & Smith, C. J. (2004) Modelling the growth and water uptake function of plant root systems: a review. Austr. J. Agric. Res. 55, 501-523.
60. Wattenbach, M., Hattermann, F., Weng, R., Wchsung, F., Krysanova, V. & Badeck, F. (2005) A simplified approach to implement forest eco-hydrological properties in regional hydrological modelling. Ecol. Model. 187, 40-59.
61. Welham, C., Seely B. & Kimmins, H. (2002) The utility of the two pass harvesting system: an analysis using the ecosystem simulation model FORECAST. Can. J. For. Res. 32, 1071-1079.
62. Williams, J. R., Jones, C. A. & Dyke, P. T. (1984) A modelling approach to determining the relationship between erosion and soil productivity. Trans. Am. Soc. Agric. Engrs 27, 129-144.
63. Williams, J. R., Dyke, P. T., Fuchs, W. W., Benson, V. W., Rice, O. W. & Taylor, E. D. (1990) EPIC - Erosion/Productivity Impact Calculator: 2. User Manual. (ed. by A. N. Sharpley & J. R. Williams). US Dept of Agric. Tech. Bulletin no. 1768.
64. Yun, X., Kiniry, J. R., Nedbalek, V. & Rosenthal, W. D. (2001) Maize and sorghum simulations with CERES-Maize, SORKAM, and ALMANAC under water-limiting conditions. Agron. J. 93, 1148-1155.