Compilation of functional soil maps for the support of spatial planning and land management in Hungary
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László Pásztor | Zsófia Bakacsi | Annamária Laborczi | Gábor Szatmári | Gábor Illés | József Szabó | Katalin Takács | Nándor Fodor | N. Fodor | L. Pásztor | Annamária Laborczi | Kinga Farkas-Iványi | Gábor Szatmári | K. Takács | G. Illés | J. Szabó | Z. Bakacsi | Kinga Farkas-Iványi
[1] Attila Nemes,et al. Evaluation of different procedures to interpolate particle-size distributions to achieve compatibility within soil databases , 1999 .
[2] M. Araújo,et al. How Does Climate Change Affect Biodiversity? , 2006, Science.
[3] L. Pásztor,et al. Elaboration of novel, countrywide maps for the statisfaction of recent demands on spatial, soil related information in Hungary , 2014 .
[4] R. Lal. Forest soils and carbon sequestration , 2005 .
[5] Budiman Minasny,et al. On digital soil mapping , 2003 .
[6] Erwin Führer,et al. Forest functions, ecosystem stability and management , 2000 .
[7] Freddy Nachtergaele,et al. State of the Art Report on Global and Regional Soil Information: Where are we? Where to go? , 2013 .
[8] Costanza Calzolari,et al. A methodological framework to assess the multiple contributions of soils to ecosystem services delivery at regional scale , 2016 .
[9] Philippe Lagacherie,et al. Chapter 1 Spatial Soil Information Systems and Spatial Soil Inference Systems: Perspectives for Digital Soil Mapping , 2006 .
[10] László Pásztor,et al. Digital mapping of selected WRB units based on vast and diverse legacy data , 2014 .
[12] Joe T. Ritchie,et al. Soil water balance and plant water stress , 1998 .
[13] Gábor Brolly,et al. Hydrological Impacts of Various Land Cover Types in the Context of Climate Change for Zala County , 2014 .
[14] L. Montanarella,et al. European Soil Data Centre: Response to European policy support and public data requirements , 2012 .
[15] A. Marchetti,et al. Estimating Soil Organic Matter Content by Regression Kriging , 2010 .
[16] I. Sisák,et al. Probability-based harmonization of digital maps to produce conceptual soil maps , 2014 .
[17] W. Rawls. Estimating soil bulk density from particle size analysis and organic matter content. , 1983 .
[18] J. Ritchie,et al. Cereal growth, development and yield , 1998 .
[19] G. Heuvelink,et al. A generic framework for spatial prediction of soil variables based on regression-kriging , 2004 .
[20] László Pásztor,et al. Compilation of novel and renewed, goal oriented digital soil maps using geostatistical and data mining tools , 2015 .
[21] Alfred E. Hartemink,et al. Linking soils to ecosystem services — A global review , 2016 .
[22] László Pásztor,et al. Coupling the 4M crop model with national geo-databases for assessing the effects of climate change on agro-ecological characteristics of Hungary , 2014, Int. J. Digit. Earth.
[23] András Makó,et al. Introduction of the Hungarian Detailed Soil Hydrophysical Database (MARTHA) and its use to test external pedotransfer functions , 2010 .
[24] W. Blum. Functions of Soil for Society and the Environment , 2005 .
[25] L. Pásztor,et al. Digital processing and upgrading of legacy data collected during the 1:25 000 scale Kreybig soil survey , 2010 .
[26] Alfred E. Hartemink,et al. Digital soil mapping: bridging research, environmental application, and operation , 2010 .
[27] M. Stone. Cross‐Validatory Choice and Assessment of Statistical Predictions , 1976 .
[28] Philippe Lagacherie,et al. Digital Soil Mapping: A State of the Art , 2008 .
[29] Michael Bock,et al. System for Automated Geoscientific Analyses (SAGA) v. 2.1.4 , 2015 .
[30] Richard Petritsch,et al. Incorporating forest growth response to thinning within biome-BGC , 2007 .
[31] László Pásztor,et al. Variations for the Implementation of SCORPAN’s “S” , 2016 .
[32] Paulo Pereira,et al. Soil mapping, classification, and pedologic modeling: History and future directions , 2016 .
[33] P. Štěpánek,et al. Climate of the Carpathian Region in the period 1961–2010: climatologies and trends of 10 variables , 2015 .
[34] Philippe Lagacherie,et al. EVALUATION OF STATISTICAL AND GEOSTATISTICALMODELS OF DIGITAL SOIL PROPERTIES MAPPING INTROPICAL MOUNTAIN REGIONS , 2014 .
[35] T. Tonteri,et al. The Finnish forest site type approach: ordination and classification studies of mesic forest sites in southern Finland , 1990, Vegetatio.
[36] E. Dobos,et al. Legacy Soil Data Harmonization and Database Development , 2010 .
[37] G. Illés,et al. Comparing and evaluating digital soil mapping methods in a Hungarian forest reserve , 2011, Canadian Journal of Soil Science.
[38] Gergely Tóth,et al. Presentation of soil data from the National Pedological and Crop Production Database (NPCPD) and investigations on spatial representativeness , 2014 .
[39] K. Rajkai,et al. Estimating the water retention curve from soil properties: comparison of linear, nonlinear and concomitant variable methods , 2004 .
[40] L. Horváth,et al. Application of a new aridity index in Hungarian forestry practice , 2011 .
[41] Bradley A. Miller,et al. The historical role of base maps in soil geography , 2014 .
[42] D. C. Godwin,et al. Nitrogen balance and crop response to nitrogen in upland and lowland cropping systems , 1998 .
[43] L. Pásztor,et al. Large-scale mapping of soil organic matter content by regression kriging in Zala County , 2013 .
[44] G. Várallyay,et al. Map of soil factors determining the agro-ecological potential of Hungary (1:100 000) II. , 1980 .
[45] I. Sun,et al. Relations of soil properties to topography and vegetation in a subtropical rain forest in southern Taiwan , 1997, Plant Ecology.
[46] Katharina Helming,et al. Assessing the productivity function of soils. A review , 2010, Agronomy for Sustainable Development.