پیش‌بینی چگالی ظاهری با استفاده از توابع انتقالی برای خاک‌های دشت سیستان

1.Abdelbaki, A.M. 2016. Evaluation of pedotransfer functions for predicting soil bulk density for U.S. soils. Ain Shams Engineering Journal. 9: 4. 1611-1619.

2.Adams, W.A. 1973. The effect of organic matter on the bulk and true densities of some uncultivated podzolic soils. European Journal of Soil Science. 24: 10-17.

3.Alexander, E.B. 1980. Bulk densities of California soils in relation to other soil properties. Soil Science Society of America Journal. 44: 689-692.

4.Al-Qinna, M.I., and Jaber, S.M. 2013. Predicting soil bulk density using advanced pedotransfer functions in an arid environment. Transactions of the ASAE. 56: 963-976.

5.Benites, V.M., Machado, P.L.O.A., Fidalgo, E.C.C., Coelho, M.R., and Madari, B.E. 2007. Pedotransfer functions for estimating soil bulk density from existing soil survey reports in Brazil. Geoderma. 139: 90-97.

6.Bernoux, M., Arrouays, D., Cerri, C., Volkoff, B., and Jolivet, C. 1998. Bulk densities of Brazilian Amazon soils related to other soil properties. Soil Science Society of America Journal.
62: 743-749.

7.Botula, Y.D., Nemes, A., Van Ranst, E., Mafuka, P., De Pue, J., and Cornelis, W.M. 2015. Hierarchical pedotransfer functions to predict bulk density of highlyweathered soils in Central Africa. Soil Science Society of America Journal. 79: 476-486.

8.Calhoun, F.G., Smeck, N.E., Slater, B.L., Bigham, J.M., and Hall, G.F. 2001. Predicting bulk density of Ohio soils from morphology, genetic principles, and laboratory characterization data. Soil Science Society of America Journal.
65: 811-819.

9.Chari, M.M., Poozan, M.T., and Afrasiab, P. 2020. Modeling soil water infiltration variability using scaling. Biosystem Engineering. 196: 56-66.

10.Cienciala, E., Exnerova, Z., Macku, J., and Henzlik, V. 2006. Forest topsoil organic carbon content in Southwest Bohemia region. Journal of Forest Science. 52: 387-398.

11.Curtis, R.O., and Post, B.W. 1964. Estimating bulk density from organic-matter content in some Vermont forest soils. Soil Science Society of America Journal. 28: 285-286.

12.Dam, R.F., Mehdi, B.B., Burgess, M.S.E., Madramootoo, C.A., Mehuys, G.R., and Callum, I.R. 2005. Soil bulk density and crop yield under eleven consecutive years of corn with different tillage and residue practices in a sandy loam soil in central Canada. Soil and Till Research. 84: 41-53.

13.Delbari, M., Afrasiab, P., Gharabaghi, B., Amiri M., and Salehian, A. 2019. Spatial variability analysis and mapping of soil physical and chemical attributes in a salt-affected soil. Arabian Journal of Geosciences. 12: 68. 1-18.

14.De Vos, B., Van Meirvenne, M., Quataert, P., Deckers, J., and Muys, B. 2005. Predictive quality of pedotransfer functions for estimating bulk density of forest soils. Soil Science Society of America Journal. 69: 500-510.

15.Dexter, A.R. 2004. Soil physical quality part I. Theory, effects of soil texture, density, and organic matter, and effects on root growth. Geoderma. 120: 201-214.

16.Drew, L.A. 1973. Bulk density estimation based on organic matter content of some Minnesota soils. MEinn Forestry Research Notes. 243: 1-4.

17.Eschner, A.R., Jones, B.O., and Moyle, R.C. 1957. Physical Properties of 134 soils in Six Northeastern States. Station Paper No. 89, Forest Service. United States Department of Agriculture, 1-24.

18.Federer, C.A. 1983. Nitrogen mineralization and nitrification: depth variation in four New England forest soils. Soil Science Society of America Journal. 47: 1008-1014.

19.Federer, C.A., Turcotte, D.E., and Smith, C.T. 1993. The organic fraction - bulk density relationship and the expression of nutrient content in forest soils. Canadian Journal of Forest Research. 23: 1026-1032.

20.Grigal, D.F., Brovold, S.L., Nord, W.S., and Ohmann, L.F. 1989. Bulk density of surface soils and peat in the north central United States. Canadian Journal of Forest Research. 69: 895-900.

21.Hallet, S.H., Hollis, J.M., andKeay, C.A. 1998. Derivation and Evaluation of a set of Pedogenically-based Empirical Algorithms for Predicting Bulk Density in British Soils. https://www.landis.org.uk/downloads/downloads/Predicting Bulk Density.pdf.

22.Han, G.Z., Zhang, G.L., Gong, Z.T.,and Wang, G.F. 2012. Pedotransfer functions for estimating soilbulk density in China. Soil Science.177: 158-164.

23.Harrison, A.F., and Bocock, K.L. 1981. Estimation of soil bulk-density from loss-on-ignition values. Journal of Applied Ecology. 18: 919-927.

24.Heuscher, S.A., Brandt, C.C., and Jardine, P.M. 2005. Using soil physical and chemical properties to estimate bulk density. Soil Science Society of America Journal. 69: 51-56.

25.Hollis, J.M., Hannam, J., andBellamy, P.H. 2012. Empirically-derived pedotransfer functions for predicting bulk density in European soils. European Journal of Soil Science. 63: 96-109.

26.Honeysett, J.L., and Ratkowsky, D.A. 1989. The use of ignition loss to estimate bulk density of forest soils. Soil Science. 40: 299-308.

27.Hong, S.Y., Minasny, B., Han, K.H., Kim, Y., and Lee, K. 2013. Predicting and mapping soil available water capacity in Korea. Peer Journal. DOI: 10.7717/peerj.71.

28.Hossain, M.F., Chen, W., and Zhang, Y. 2015. Bulk density of mineral and organic soils in the Canada's arctic and sub-arctic. Information Processing in Agriculture. 2: 183-190.

29.Huntington, T.G., Johnson, C.E., Johnson, A.H., Siccama, T.G., and Ryan, D.F. 1989. Carbon, organic matter, and bulk density relationshipsin a forested spodosol. Soil Science. 148: 380-386.30.Jeffrey, D.W. 1970. A note on the use of ignition loss as a means for the approximate estimation of soil bulk density. Journal of Ecology. 58: 297-299.

31.Kaur, R., Kumar, S., and Gurung, H.P. 2002. A pedo-transfer function (PTF) for estimating soil bulk density from basic soil data and its comparison with existing PTFs. Australian Journal of Soil Research. 40: 5. 847-858.

32.Katuwal, S., Knadel, M., Norgaard, T., Moldrup, P., Greve, M.H., and de Jonge, LW. 2019. Predicting the dry bulk density of soils across Denmark: Comparison of single-parameter, multi-parameter, and vis–NIR based models. Geoderma. 361: 1140-1148.

33.Keller, T., and Hakansson, I. 2010. Estimation of reference bulk density from soil particle size distribution and soil organic matter content. Geoderma. 154: 398-406.

34.Kobal, M., Urbancic, M., Potocic, N., De Vos, B., and Simoncic, P. 2011. Pedotransfer functions for bulk density estimation of forest soils. Journal of Forestry Society of Croatia. 135: 19-27.

35.Leonaviciute, N. 2000. Predictingsoil bulk and particle densities by pedotransfer functions from existing soil data in Lithuania. Geografijos metraštis. 33: 317-330.

36.Makovníková, J., Širáň, M., Houšková, B., Pálka, B., and Jones, A. 2017. Comparison of different models for predicting soil bulk density. Case
study: Slovakian agricultural soils. International Agrophysics. 31: 491-498.

37.Manrique, L.A., and Jones, C.A. 1991. Bulk density of soils in relation to soil physical and chemical properties. Soil Science Society of America Journal.55: 476-481.

38.Men, M.X., Peng, Z.P., Xu, H., and Yu, Z.R. 2008. Investigation on Pedotransfer function for estimating soil bulk density in Hebei province. Chinese Journal Soil Science. 39: 33-37 (In Chinese)

39.Minasny, B., and Hartemink, A.E. 2011. Predicting soil properties in the tropics. Earth Science Reviews. 106: 52-62.

40.Nanko, K., Ugawa, S., Hashimoto, S., Imaya, A., Kobayashi, M., Sakai, H., Ishizuka, S., Miura, S., Tanaka, N., Takahashi, M., and Kaneko, S. 2014. A pedotransfer function for estimating bulk density of forest soil in Japan affected by volcanic ash. Geoderma. 213: 36-45.

41.Nasta, P., Palladino, M., Benedetto Sica, B., Pizzolante, A., Trifuoggi, M., Toscanesi, M., Giarra, A., D'Auria, J., Nicodemo, F., Mazzitelli, C., Lazzaro, U., Di Fiore, P., and Romano, N. 2020. Evaluating pedotransfer functions for predicting soil bulk density using hierarchical mapping information in Campania, Italy. Geoderma Regional. 21: 1-13.

42.Nelson, D.W., and Sommers, L.E. 1982. Total carbon, organic carbon and organic matter. P 539-547. In: A.L. Page, R.H. Miller and D.R. Keeney, (eds.), Methods of Soil Analysis, Part 2. Chemical and Microbiological Properties. American Society of Agronomy, Madison.

43.Perie, C., and Ouimet, R. 2008. Organic carbon, organic matter and bulkdensity relationships in boreal forest soils. Canadian Journal Soil Science.88: 315-325.

44.Prevost, M. 2004. Predicting soil properties from organic matter content following mechanical site preparation of forest soils. Soil Science Society of America Journal. 68: 943-949.

45.Rawls, W.J., Nemes, A., and Pachepsky, Ya. 2004. Effect of soil organic carbon on soil hydraulic properties. P 95-114. In: Ya., Pachepsky and W.J., Rawls (eds.), Development of Pedotransfer Functions in Soil Hydrology. Developments in Soil Science vol. 30. Elsevier, New York.

46.Reidy, B., Simo, I., Sills, P., and CreMAEr, R.E. 2016. Pedotransfer functions for Irish soils – estimation of bulk density (ρb) per horizon type. Soil Discussions. 2: 2. 1039-1074.

47.Ruehlmann, J., and Körschens, M. 2009. Calculating the effect of soil organic matter concentration on soil bulk density. Soil Science Society of America Journal. 73: 3. 876-885.

48.Reichert, J.M., Suzuki, L.E.A.S., Reinert, D.J., Horn, R., and Håkansson, I. 2009. Reference bulk density and critical degree-of-compactness for
no-till crop production in subtropical highly weathered soils. Soil and Till Research. 102: 242-254.

49.Saini, G.R. 1966. Organic matter as a measure of bulk density of soil. Nature. 210: 5042. 1295-1296.

50.Sequeira, C.H., Wills, S.A., Seybold, C.A., and West, L.T. 2014. Predicting soil bulk density for incomplete databases. Geoderma. 213: 64-73.

51.Sevastas, S., Siarkos, I., Theodossiou, N., Ifadis, I., and Kaffas, K. 2017. Comparing hydrological models built upon open access and/or measured data in a GIS environment. 6^th International Conference on Environmental Management, Engineering, Planning and Economics (CEMEPE) and SECOTOX Conference, June 25–30, Thessaloniki, Greece.

52.Sevastas, S., Gasparatos, D., Botsis, D., Siarkos, I., Diamantaras, K.I., and Georgios Bilas, G. 2018. Predicting bulk density using pedotransfer functions for soils in the Upper Anthemountas basin, Greece. Geoderma Regional. 14: 1-14.

53.Shiri, J., Keshavarzi, A., Kisi, O., Karimi, S., and Iturraran-Viveros, U. 2017. Modeling soil bulk density through a complete data scanning procedure: heuristic alternatives. Journal of  Hydrolgy. 549: 592-602.

54.Song, G., Li, L., Pan, G., and Zhang,Q. 2005. Topsoil organic carbon storage of China and its loss by cultivation. Biogeochemistry. 74: 1. 47-62.

55.Tamminen, P., and Starr, M. 1994. Bulk density of forested mineral soils. Silva Fennica. 28: 53-60.

56.Tomasella, J., and Hodnett, M.G. 1998. Estimating soil water retention characteristics from limited data in Brazilian Amazonia. Soil Science.163: 190-202.

57.Tranter, G., Minasny, B., McBratney, A.B., Murphy, B., McKenzie, N.J., Grundy, M., and Brough, D. 2007. Building and testing conceptual and empirical models for predicting soilbulk density. Soil Use Management.23: 437-443.

58.Tremblay, S., Ouimet, R., and Houle, D. 2002. Prediction of organic carbon content in upland forest soils of Quebec. Canada. Canadian Journal of Forest Research. 32: 903-914.

59.Walter, K., Don, A., Tiemeyer, B., and Freibauer, A. 2016. Determiningsoil bulk density for carbon stock calculations: A systematic method comparison. Soil Science Society of America Journal. 80: 579-591.

60.Williams, R.J.B. 1970. Relationships between the composition of soils and physical measurements made on
them. Rothamsted Experimental. Station Report Part 2: 5-35.

61.Wu, H., Guo, Z., and Peng, C. 2003. Distribution and storage of soil organic carbon in China. Global Biogeochemical Cycles. 17: 2. 1048-1060.

62.Yang, Y., Mohammat, A., Feng, J., Zhou, R., and Fang, J. 2007. Storage, patterns and environmental controls
of soil organic carbon in China. Biogeochemistry. 84: 2. 131-141.

63.Zinke, P.J., Stangenberger, A.G., Post, W.M., Emanual, W.R., and Olson, J.S. 1986. Worldwide Organic Soil Carbon and Nitrogen Data. Oak Ridge National Laboratory. Pp: 4-6.