تخمین مکانی ماده آلی خاک با داده‌های نامطمئن و کمکی خاکی و روش آنتروپی حداکثر اریب

Reference

Acosta JA., Faz A., Jansen B., Kalbitz K., and Martinez-Martinez S. 2011. Assessment of salinity status in intensively cultivated soils under semiarid climate, Murcia, SE Spain. Journal of Arid Environments, 75: 1056-1066.

Bogaert P., and D^,Or D. 2002. Estimating soil properties from thematic soil maps: The Bayesian Maximum Entropy. Soil Science Society of American Journal, 66: 1492-1500.

Bruun TB., Elberling B., Neergaard A., and Magid AJ. 2015. Organic carbon dynamics in different soil types after conversion of forest to agriculture. Land Degradation and Development, 26: 272-283.

Brus DJ., Bogaert P., and Heuvelink GBM. 2008. Bayesian maximum entropy prediction of soil categories using a traditional soil map as soft information. European Journal of Soil Science, 59(2): 166-177.

Christakos G. 1990. A Bayesian / maximum –entropy view to the spatial estimation problem. Mathmatical Geological, 22(7): 763-777.

Christakos G. 2000. Modern spatiotemporal geostatistics. Oxford University Press, New York. 312pp.

Christakos G. 2002. On the assimilation of uncertain physical knowledge bases: Bayesian and non-Bayesian techniques. Advances in Water Resources, 25(8-12): 1257-1274.

Douaik A., Van Meirvenne M., and Toth T. 2004. Spatio-temporal kriging of soil salinity rescaled from bulk soil electrical conductivity. In: Sanchez Vila X., Carrera J. and Gomez-Hernandez J. (Ed.), GeoEnv IV: Geostatistics for Environmental Applications. Netherlands: Kluwer Academic Publishers.

Dono G., Cortignani R., Dell D., Deligios P., Doro L., Lacetera N., Mula L., Pasqui M., Quaresima S., Vitali A., and Roggero PP. 2016. Winners and losers from climate change in agriculture: insights from case study in Mediterranean basin. Agricultural systems, 147: 65-75.

Forth H. 1990. Fundamentals of soil science. 8^th Ed. New York: Wiley. ISBN: 0-471-52279-1.

Giordano R., Liersch S., Vurro M., and Hirsch D. 2010. Integrating local and technical knowledge to support soil salinity monitorinf in the Amudarya river basin. Journal of Environmental Management, 91: 1718-1729.

Gee GW., and Bauder JW. 1986. Particle size analysis. In: Klute A. (Ed.), Methods of Soil Analysis. Part I. Physical and Mineralogical Methods, 2nd ed., Agronomy Monograph. No: 9. ASA and SSSA. Madison, WI.

Hamzehpour N., and Bogaert P. 2017. Improved spatiotemporal monitoring of soil salinity using filtered kriging with measurement errors: an application to the West Urmia Lake, Iran. Geoderma, 275: 22-33.

Hamzehpour N., and Eghbal MK. 2016. Spatiotemporal prediction of soil salinity boundary using kriging with measurement errors. Journal of Ecology, Environment and Conservation, 22(3): 57-67.

Hamzehpour N., Eghbal MK., Bogaert P., Toomanian N., and Oskoui RS. 2013. Spatial prediction of soil salinity using kriging with measurement errors and probabilistic soft data. Arid Land Research and Management, 27 (2): 128-139.

Heuvelink GBM. 1998. Error Propagation in Environmental Modeling with GIS, London: Taylor and Francis.

Jaynes ET. 1982. On the rationale of Maximum-Entropy methods. Proceeding of the IEEE, 70: 939-952.

Jegajeevagan K., Sleutel S., Ameloot N., Kader MA., and De Neve S. 2013. Organic matter fractions and N mineralization invegetable-cropped sandy soils. Soil Use and Management, 29(3): 333-343.

Kempen B., Heuvelink GBM., Brus DJ., and Stoorvogel JJ. 2010. Pedometric mapping of soil organic matter using a soil map with quantified uncertainty. Europian Journal of Soil Science, 61: 333-347.

Li Y., Shi Z., and Li F. 2007. Delineation of site-specific management zones based on temporal and spatial variability of soil electrical conductivity. Pedosphere, 17 (2): 156–164.

Liu Sh., An N., Yang J., Dong Sh., Wang C., and Yin Y. 2017. Prediction of soil organic matter variability associated with different land use types in mountainous landscape in southwestern Yunnan province, China. Catena, 133: 137-144.

Marchant P., Villanneaue J., Arrouays D., Sabyn P. A., and Rawlins BG. 2015. Quantifying and mapping topsoil inorganic carbon concentrations and stocks: approaches tested in France. Soil Use and Management, 31: 29-38.

Marlet S., Bouksila F., and Bahri A. 2009. Water and salt balance at irrigation scheme scale: A comprehensive approach for salinity assessment in a Saharan oasis. Agricultural Water Management, 96: 1311-1322.

Meersmans J., Martin MP., Ridder FD., Lacarce E., Wetterlind J., Baets S. D., Bas CL, Louis BP., Orton TG., Bispo A., and Arrouays D. 2012. A novel soil organic C model using climate, soil type and management data at national scale in France. Agronomy and Sustainable Developments, 32: 873-888.

Mirzaee S., Ghorbani-Dashtaki S., Mohammadi J., Asadi H., and Asadzadeh F. 2016. Spatial variability of soil organic matter using remote sensing data. Catena, 145: 118-127.

Nelson RE. 1982. Carbonate and Gypsum. P. 181-196. In: Page A.L. (Ed.), Methods of Soil Analysis. Part 2. Chemical and Microbiological Properties, 2^nd Edition, Agronomy Monograph. No: 9. ASA and SSSA. Madison, WI.

Novara A., Gristina L., Sala G., Galati A., Crescimanno M., Cerda A., Badalamenti E., La Mantia T. 2017. Agricultural land abandonment in Mediterranean environment provides ecosystem services via soil carbon sequestration. Science of Total Environment, 574: 420-429.

Saia., S, Benitez E., Garcia-Garrido JM., Settanni L., Amato G., Giambalvo D. 2014. The effect of arbuscular mycorrhizal fungi on total plant nitrogen uptake and nitrogen recovery from soil organic material. Journal of Agricultural Science, 152: 370-378.

Schillaci C., Acutis M., Lombardo L., Lipani A., Fantappie M., Marker M., and Saia S. 2017. Spatio-temporal topsoil organic carbon mapping of a semi-arid Mediterranean region: the role of land use, soil texture, topographic indices and the influence of the remote sensing data to modeling. Science of the Total Environment, 601-602: 821-832.

Serre ML., and Christakos G. 1999. Modern geostatistics: computational BME in the light of uncertain physical knowledge-the Equus Beds study. Stochastic Environmental ResearchandRisk Assessment, 13: 1-26.

Shanon, CE. 1948. A mathematical theory of communication. Bell System Technical Journal, 27: 379-423.

Stevens F., Bogaert P., and Wesemael BV. 2015. Detecting and quantifying field-related spatial variation of soil organic carbon using mixed-effect models and airborne imagery. Geoderma, 259-260: 93-103.

Stevens A., Miralles I., van Wesemael B. 2012. Soil organic carbon predictions by air-borne imaging spectroscopy: comparing cross-validation and validation. Soil Science Society of Americal Journal, 76: 2174-2183.

Sulivan DG., Shaw JN., and Rickman D. 2005. IKONOS imagery to estimate surface soil property variability in two Alabama physioraphies. Soil Science Society of American Journal, 170: 954-968.

Triantafilis J., Odeh IOA., and McBratney AB. 2001. Five geostatistical models to predict soil salinity from electromagnetic induction data across irrigated cotton. Soil Science Society of American Journal, 65: 869-878.

Walkley A., and Blackm IA. 1934. An examination of the Degtjareff method for determining organic carbon in soils: Effect of variations in digestion conditions and of inorganic soil constituents. Soil Science, 63: 251-263.

Wang T., Kang F., Cheng X., Han H., Bai Y., and Ma J. 2017. Spatial variability of organic carbon and total nitrogen in the soils of a subalpine forested catchment at Mt. Taiyue, China. Catena, 155: 41-52.

Wu C., Wu J., Luo Y., Zhang L., and DeGloria SD. 2009. Spatial prediction of soil organic matter content using cokriging with remotely sensed data. Soil Science Society of American Journal, 73: 1202-1208.

Zaouche M., Bel L., and Vaudour E. 2017. Geostatistical mapping of topsoil organic carbon and uncertainty assessment in Western Paris croplands (France). Geoderma Regional, 10: 126-137.

Zhang S., Huang Y., Shen C., Ye H., and Du Y. 2012. Spatial prediction of soil organic matter using terrain indices and categorical variables as auxiliary information. Geoderma, 171-172: 35-43.

Zhang R., Shouse P., and Yates S. 1997. Use of pseudo-crossvariograms and cokriging to improve estimates of soil solute concentrations. Soil Science Society of American Journal, 61: 1342-1347.