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minasny budiman (curatore); malone brendan p. (curatore); mcbratney alex b. (curatore) - digital soil assessments and beyond

Digital Soil Assessments and Beyond Proceedings of the 5th Global Workshop on Digital Soil Mapping 2012, Sydney, Australia

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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

CRC Press

Pubblicazione: 07/2012
Edizione: 1° edizione





Note Editore

Digital soil assessments and beyond contains papers presented at the 5th Global Workshop on Digital Soil Mapping, held 10-13 April 2012 at the University of Sydney, Australia. The contributions demonstrate the latest developments in digital soil mapping as a discipline with a special focus on the use of map products to drive policy decisions particularly on climate change and food, water and soil security. The workshop and now this resulting publication have better united formerly disparate subdisciplines in soil science: pedology (study of the formation, distribution and potential use of soils) and pedometrics (quantitative and statistical analysis of soil variation in space and time). This book compiles papers covering a range of topics: digital soil assessment, digital soil modelling, operational soil mapping, soil and environmental covariates, soil sampling and monitoring and soil information modelling, artificial intelligence and cyber-infrastructure, and GlobalSoilMap. Digital soil assessments and beyond aims to encourage new mapping incentives and stimulate new ideas to make digital soil mapping practicable from local to national and ultimately global scales.




Sommario

Digital soil assessments Digital soil assessment: Guiding irrigation expansion in Tasmania, AustraliaD.B. Kidd, M.A. Webb, C.J. Grose, R.M. Moreton, B.P. Malone, A.B. McBratney, B. Minasny, R.A. Viscarra-Rossel, W.E. Cotching, L.A. Sparrow & R. Smith Frameworks for digital soil assessmentA.B. McBratney, B. Minasny, I. Wheeler, B.P. Malone & D. van der Linden Soil natural capital definition using land evaluation principles A.E. Hewitt, T. Webb, E. Dominati & C. Hedley Spatial modeling of human exposure to soil contamination– an example of digital soil assessment J. Caudeville, P. Goovaerts, F. Carre, R. Bonnard, D. Arrouays, A. Cicolella, C.C. Jolivet, N.P.A. Saby & C. Boudet A pedometric approach to valuing the soil resource D.G. Rossiter Development of terrons for the Lower Hunter Valley wine-growing region P. Hughes, A.B. McBratney, B.P. Malone & B. Minasny Spatial agricultural soil quality evaluation based on digital soil maps and uncertainty analysis X.L. Sun, Y.G. Zhao, M.S. Zhao & G.L. Zhang Digital soil mapping in the environment High resolution soil moisture mapping J.P. Walker, G. Dumedah, A. Monerris, Y. Gao, C. Rudiger, X. Wu, R. Panciera, O. Merlin, R. Pipunic, D. Ryu & M. Zreda Soil carbon density under eucalypt forests in Australia E.N. Bui Spatial prediction of biological soil crust classes: Value added DSM from soil survey C.B. Brungard & J.L. Boettinger Modelling the effect of soil type and grazing on nitrogen cycling in a tropical grazing system M.J. Pringle, D.E. Allen, J.E. Payne, R.C. Dalal & B.P. Marchant A digital soil map of Phytophthora cinnamomi in the Gondwana Rainforests of eastern Australia T.F.A. Bishop, R. Daniel, D.I. Guest, M.A. Nelson & C. Chang Modelling soil-regolith thickness in complex weathered landscapes of the central Mt Lofty Ranges, South Australia J. Wilford & M. Thomas Exploring short-term soil landscape formation in the Hunter Valley, NSW, using gamma ray spectrometry U. Stockmann, B. Minasny, A.B. McBratney, G.R. Hancock & G.R. Willgoose Spatial variability of the active layer, permafrost, and soil profile depth in Alaskan soilsU. Mishra & W.J. Riley Soil maps, legacy data & covariates Updating legacy soil data for digital soil mapping B. Kempen, D.J. Brus, F. de Vries & B. Engel Harmonization of legacy soil maps in North America: Status, trends, and implications for digital soil mapping efforts J.A. Thompson, T.W. Nauman, N.P. Odgers, Z. Libohova & J.W. Hempel Cross-regional digital soil carbon modeling in two contrasting soil-ecological regions in the US B. Cao, S. Grunwald & X. Xiong Which covariates are needed for soil carbon models in Florida? X. Xiong, S. Grunwald, D.B. Myers, J. Kim, W.G. Harris & N.B. Comerford A pragmatic quantitative model for soil organic carbon distribution in eastern Australia J. Gray, T.F.A. Bishop, P. Smith, N.J. Robinson & D. Brough Spatial resolution effects of remote sensing images on digital soil models in aquatic ecosystems J. Kim, S. Grunwald, T.Z. Osborne, R. Robbins, H. Yamataki & R.G. Rivero Digital soil modelling The potential role of pedogenesis modelling in digital soil mapping G.R. Willgoose, G.R. Hancock & S. Cohen Some methods regarding manipulations of scale for digital soil mapping B.P. Malone, A.B. McBratney & B. Minasny Scale-specific control of soil water storage using multivariate empirical mode decomposition W. Hu, A. Biswas, B.C. Si Mapping the occurrence and thickness of soil horizons within soil profiles G. Gastaldi, B. Minasny & A.B. McBratney Spatial prediction of soil organic carbon of Crete by using geostatistics E. Aksoy, P. Panagos & L. Montanarella Predicting soil organic carbon using mixed conceptual and geostatistical models J.M. Goodman, P.R. Owens & Z. Libohova Spatial stochastic modeling of topsoil organic carbon content over a cultivated peri-urban region, using soil properties, soil types and a digital elevation model J. Hamiache, L. Bel, E. Vaudour & J.M. Gilliot Soil climate indicators from the Geographically Explicit Newhall Simulation Model (GEN) as potential environmental covariates in digital soil mapping applications H.E. Winzeler, P.R. Owens, S.W. Waltman, Z. Libohova & W.J. Waltman Digital mapping of phosphorus status using soil test and geophysical data M.T.F. Wong, A. Castrignano & D. De Benedetto Uncertainty estimation for weighted-means digital soil maps N.P. Odgers, J.A. Thompson, Z. Libohova & A.B. McBratney Digital mapping of soil classes Digital soil-class mapping across the Edgeroi district using numerical clustering and gamma-ray spectrometry data J. Triantafilis, N.Y. Earl & I.D. Gibbs Digital soil mapping: Strategy for data pre-processing A. ten Caten, R.S. Diniz Dalmolin, L.F. Chimelo Ruiz & M.L. Mendonca-Santos Digital soil mapping of soil classes using decision trees in central Iran R. Taghizadeh-Mehrjardi, B. Minasny, A.B. McBratney, J. Triantafilis, F. Sarmadian & N. Toomanian Fuzzy disaggregation of conventional soil maps using database knowledge extraction to produce soil property maps T.W. Nauman, J.A. Thompson, N.P. Odgers & Z. Libohova Towards a model for predicting soil classes in low relief and deeply weathered landscapes of the Northern Territory G.A. Owen Use of weights of evidence statistics to define inference rules to disaggregate soil survey maps C.A.S. Smith, B. Daneshfar, G. Frank, E. Flager & C. Bulmer Sampling and monitoring in DSM The effect of preferential sampling on sampling variance D. Clifford, P. Kuhnert, M. Dobbie, J. Baldock, B. Harch, N.J. McKenzie, I. Wheeler & A.B. McBratney A conditioned Latin hypercube sampling algorithm incorporating operational constraints P. Roudier, A.E. Hewitt & D.E. Beaudette Soil survey design for management-scale digital soil mapping in a mountainous southern Philippine catchment M. Thomas, N.P. Odgers, A. Ringrose-Voase, G. Grealish, M. Glover & T. Dowling Spatial and temporal prediction of soil properties from legacy data B.P. Marchant, D.M. Crawford & N.J. Robinson Mapping the temporal change of soil carbon: A case study from northern New South Wales, Australia S.B. Karunaratne, T.F.A. Bishop, I.O.A. Odeh, J. Baldock & B.P. Marchant Number of sampling points influences the parameters of soil properties spatial distribution and kriged maps R. Vašat, L. Boruvka & O. Jakšik Digital Soil Mapping to inform design-based sampling strategies for estimating total organic carbon stocks at the farm scale I. Wheeler, A.B. McBratney, B. Minasny & J.J. de Gruijter Cyber infrastructure & expert system in DSM OneGeology—Improving global access to geoscience B.A. Simons, O. Raymond, I. Jackson & K. Lee Multi-scale feature data and landscape analysis toolkit for predictive soil mapping X. Geng, R. Burcher, D. Kroetsch & S. Mitchell The LIFE+ SOILCONSWEB project: A web based spatial decision support system embedding DSM engines G. Langella, A. Basile, A. Bonfante, P. Manna & F. Terribile The role of soil inference systems in digital soil assessments J.C. Morris, B. Minasny & A.B. McBratney Worldgrids—a public repository of global soil covariates H.I. Reuter & T. Hengl Digital Soil Map data in an on-line, on-demand world P.L. Wilson, D. Jacquier & B.A. Simons Operational DSM Digital Soil Mapping in a changing world S. Grunwald, J.A. Thompson, B. Minasny & J.L. Boettinger Digital soil mapping in Ontario, Canada: An example using high resolution LiDAR J.D. Aspinall & S.J. Sweeney Using Pedotransfer functions for estimating soil pH and bulk density at regional scale Z. Libohova, S. Wills, J.W. Hempel, N.P. Odgers & J.A. Thompson Soil-landscape models to predict soil pH variation in the Subang region of West Java, Indonesia Y. Sulaeman, M. Sarwani, B. Minasny, A.B. McBratney, A. Sutandi & B. Barus Mapping the presence of red clay subsoil in the Driftless area of Wiscon




Autore

Budiman Minasny is an Associate Professor at the Faculty of Agriculture & Environment at the University of Sydney in Australia. He was awarded the QEII Fellowship from the Australian Research Council to develop methodologies for creating a global soil map. His research interest is to link soil observations with process-based models and also to develop empirical models to allow greater understanding of soil variation in space and time.Brendan Malone is a research fellow of Digital Soil Mapping in the Faculty of Agriculture & Environment at the University of Sydney, Australia. He is working on an Australian Research Council linkage project with the Tasmanian Department of Primary Industries, Parks, Water and Environment where he is developing new and updated spatial soil information systems for new sustainable irrigated agriculture in Tasmania, Australia. Brendan’s research interest is in furthering methodologies for digital soil assessments and aligning soil information and related products to the needs and specifications of the soil information end-users.Alex McBratney is Professor of Soil Science in the Faculty of Agriculture & Environment at the University of Sydney in Australia. He is chief editor of the global soil science journal, Geoderma, and co-editor-in-chief of the book series Progress in Soil Science. Alex is a consummate pedometrician and soil scientist striving to understand soil variation in all its dimensions.










Altre Informazioni

ISBN:

9780415621557

Condizione: Nuovo
Dimensioni: 9.75 x 6.75 in Ø 2.25 lb
Formato: Copertina rigida
Pagine Arabe: 482


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