Abstract
As part of a series of papers describing the use of a simulation model to extrapolate experimental measurements of methane (CH4) emissions from rice fields in Asia and to evaluate the large-scale effect of various mitigation strategies, the collation and derivation of the spatial databases used are described. Daily weather data, including solar radiation, minimum and maximum temperatures, and rainfall were collated from 46 weather stations from the five countries in the study, namely China, India, Indonesia, Philippines, and Thailand. Quantitative soil data relevant to the input requirements of the model were derived by combining data from the World Inventory of Soil Emissions (WISE) database, the ISIS database, and the FAO Digital Soil Map of the World (FAO-DSMW). These data included soil pH; organic carbon content; sand, silt, and clay fractions; and iron content for top and subsoil layers, and average values of bulk density and available water capacity for the whole profile. Data on the areas allocated to irrigated, rainfed, upland, and deepwater rice at the province or district level were derived from the Huke & Huke (1997) database developed at IRRI. Using a geographical information system (GIS), a series of georeferenced data sets on climate, soils, and land use were derived for each country, at the province or district level. A summary of the soil-related derived databases is presented and their applicationn for use in global change modeling discussed.
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References
Arah JRM & Kirk GJD (2000) Modeling rice-plant-mediated methane emission. Nutr Cycling Agroecosyst (this issue)
Bachelet D, Kern J & Tolg M (1995) Balancing the rice carbon budget in China using spatially distributed data. Ecol Model 79(1-3):167–177
Bachelet D & Neue H-U (1993) Methane emissions from wetland rice areas of Asia. Chemosphere 26:219–237
Batjes NH (1997) A world dataset of derived soil properties by FAO-UNESCO soil unit for global modelling. Soil Use Manage 13:9–16
Batjes NH & Bridges EM (1995) World inventory of soil emission potentials (WISE): geographic quantification of soil factors that control fluxes of greenhouse gases. In: S Zwerver, RSAR van Rompaey, MTJ Kok & MM Berk (eds) Climate Change Research: Evaluation and Policy Implications. Elsevier Science, pp 645–650
Bliss NB (1990) A hierarchy of soil databases for calibrating models of global climate change. In: AF Bouwman (ed) Soils and the Greenhouse Effect, pp 523–529, John Wiley & Sons, Ltd,, New York
Bouwman AF (1990) Global distribution of the major soils and land cover types. In: AF Bouwman (ed) Soils and the Greenhouse Effect, pp 33–59, John Wiley & Sons, Ltd, New York
Centeno HGS, Aclan AP, Balbarez AD, Pascual ZP, Penning de Vries FWT & Kropff MJ (1995) The rice-weather data base. In: RB Matthews, MJ Kropff, D Bachelet & HH van Laar (eds) Modeling the Impact of Climate Change on Rice Production in Asia, pp 289, IRRI/CAB International, Wallingford, UK
FAO (Food and Agriculture Organization of the United Nations) (1974) Soil Map of the World, Volumes 1-10, Paris
FAO (Food and Agriculture Organization of the United Nations) (1995) The Digital Soil Map of the World. Notes, Version 3.5. Rome, Italy
Godwin DC, Singh U, Buresh RJ & De Datta SK (1990) Modelling of nitrogen dynamics in relation to rice growth and yield. In: Proceedings of the 14th International Congress of Soil Science Transactions, pp. 320–325, August 1990, International Society of Soil Science, Kyoto, Japan
Huke R (1982) Rice area by type and culture: South, Southeast, and East Asia. International Rice Research Institute, Manila, Philippines, 32 p
Huke RE & Huke, EH (1997) Rice area by type of culture: South, Southeast, and East Asia. A revised and updated data base. International Rice Research Institute, Manila, Philippines, 59 p
IRRI (International Rice Research Institute) (1978) Soils and Rice. Manila, Philippines.
IRRI (International Rice Research Institute) (1991) World Rice Statistics 1990. Manila, Philippines, 320 p
IRRI (International Rice Research Institute) (1993) IRRI Rice Almanac 1993-1995. Manila, Philippines, 142 p
IRRI (International Rice Research Institute) (1994) World Rice Statistics 1993. Manila, Philippines, 320 p
Jansen DM (1990) Potential rice yields in future weather conditions in different parts of Asia. Neth J Agric Sci 38:661–680
Kern JS, Gong Z, Zhang G, Zhuo H & Luo G (1997) Spatial analysis of methane emissions from paddy soils in China and the potential for emissions reduction. Nutr Cycling Agroecosyst 49:181–195
Leemans R & Cramer W (1990) The IIASA database for mean monthly values of temperature, precipitation and cloudiness of a global terrestrial grid. WP-41, International Institute of Applied Systems Analyses, Laxenburg, Austria
Matthews E (1983) Global vegetation and land use: new highresolution data bases for climate studies. J Clim Appl Meteorol 22:474–487
Matthews E (1993) Global geographical databases for modelling trace gas fluxes. Int J Geog Inf Syst 7:124–142
Matthews E, Fung I & Lerner J (1991) Methane emission from rice cultivation: geographic and seasonal distribution of cultivated areas and emissions. Global Biogeochem Cycles 5:3–24
Matthews RB, Kropff MJ, Bachelet D & van Laar HH (1995) Modeling the Impact of Climate Change on Rice Production in Asia. IRRI/CAB International, Wallingford, UK, 289 p
Matthews RB, Wassmann R & Arah J (2000a) Using a crop/ soil simulation model and GIS techniques to assess methane emissions from rice fields in Asia. I. Model development. Nutr Cycling Agroecosyst (this issue)
Matthews RB, Wassmann R, Knox JW & Buendia LV (2000b) Using a crop/soil simulation model and GIS techniques to assess methane emissions from rice fields in Asia. IV. Upscaling to national levels. Nutr Cycling Agroecosyst (this issue)
Neue HU, Wassmann R & Lantin RS (1995) Mitigation options for methane emissions from rice fields. In: S. Peng, KT Ingram, HU Neue & LH Ziska (eds), Climate Change and Rice, pp 136–144, Springer Verlag, Berlin, Germany
Oldeman LR, Seshu DV & Cady FB (1987) Response of rice to weather variables. In: Weather and Rice. pp 5–39. International Rice Research Institute, Manila, Philippines
Richter DD & Babbar LI (1991) Soil diversity in the tropics. In: M Begon, AH Fitter & A MacFadyen (eds) Advances in Ecological Research, pp 315–389, Academic Press Ltd, London
Shearer MJ & Khalil MAK (1993) Rice agriculture: emissions. In: MAK Khalil (ed) Atmospheric Methane: Sources, Sinks, and Role in Global Change, pp 230–253, NATO ASI Series. Springer-Verlag, Berlin
Sombroek WG (1990) Geographic quantification of soils and their changes in properties. In: A.F. Bouwman (ed) Soils and the Greenhouse Effect, pp 225–244, John Wiley & Sons, Ltd, New York
TYDAC (1994) SPANS GIS Modeling Handbook. INTERA TYDAC Technologies Inc, Ontario, Canada
van de Ven T & Tempel P (1994) ISIS 4.0, ISRIC Soil Information System: User Manual (revised edition). Technical Paper 14, ISRIC, Wageningen
WMO (World Meteorological Organization) (1989) CLICOM Project (Climate Data Management System). World Climate Data Programme No 299, Geneva
Zobler L (1986) A world soil file for global climate modelling. #87802, National Aeronautical and Space Administration, USA
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Knox, J., Matthews, R. & Wassmann, R. Using a Crop/Soil Simulation Model and GIS Techniques to Assess Methane Emissions from Rice Fields in Asia. III. Databases. Nutrient Cycling in Agroecosystems 58, 179–199 (2000). https://doi.org/10.1023/A:1009898720354
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DOI: https://doi.org/10.1023/A:1009898720354