Digital soil assessments: Beyond DSM

被引:124
作者
Carre, F. [1 ]
McBratney, Alex B.
Mayr, Thomas
Montanarella, Luca
机构
[1] Euorpean Commiss, DG Joint Res Ctr, Inst Environm & Sustainabil, Ispra, Italy
[2] Univ Sydney, Australian Ctr Precis Agr, Fac Agr Food & Nat Resources, Sydney, NSW 2006, Australia
[3] Cranfield Univ, Natl Soil Resources Inst, Cranfield MK43 0AL, Beds, England
关键词
digital soil mapping; digital soil assessment; pedometrics; risk analysis; soil policy; spatial analysis;
D O I
10.1016/j.geoderma.2007.08.015
中图分类号
S15 [土壤学];
学科分类号
0903 ; 090301 ;
摘要
Over the last 10 years Digital Soil Mapping (DSM) has emerged as a credible alternative to traditional soil mapping. However, DSM should not be seen as an end in itself, but rather as a technique for providing data and information for a new framework for soil assessment which we call Digital Soil Assessment (DSA). Although still somewhat fluid, a procedural frarnework for DSM and DSA with its links and feedbacks is set out diagrammatically and discussed. A significant advantage inter alia of DSM over conventional methods in this context is the intended provision of estimates of predictor uncertainties. DSA comprises three main processes: (1) soil attribute space inference, (2) evaluation of soil functions and the threats to soils, and (3) risk assessment and the development of strategies for soil protection. Digital Soil Risk Assessment (DSRA) consists of integrating political, social, economical parameters and general environmental threats to DSA outputs for building, modelling and testing some scenarios about environmental perspectives. The procedure as a whole is illustrated using an example. (C) 2007 Elsevier B.V. All rights reserved.
引用
收藏
页码:69 / 79
页数:11
相关论文
共 91 条
[1]   InfoCrop: A dynamic simulation model for the assessment of crop yields, losses due to pests, and environmental impact of agro-ecosystems in tropical environments. II. Performance of the model [J].
Aggarwal, PK ;
Banerjee, B ;
Daryaei, MG ;
Bhatia, A ;
Bala, A ;
Rani, S ;
Chander, S ;
Pathak, H ;
Kalra, N .
AGRICULTURAL SYSTEMS, 2006, 89 (01) :47-67
[2]   Evaluation of soil compaction using hydrodynamic water content variation: Comparison between compacted and non-compacted soil [J].
Alaoui, A. ;
Helbling, A. .
GEODERMA, 2006, 134 (1-2) :97-108
[3]  
Allen PM, 1997, ENVIRON ENG GEOSCI, V3, P579
[4]  
Amendola A, 2005, TOP SAF RELIAB QUAL, V8, P383
[5]   The carbon budget of newly established temperate grassland depends on management intensity [J].
Ammann, C. ;
Flechard, C. R. ;
Leifeld, J. ;
Neftel, A. ;
Fuhrer, J. .
AGRICULTURE ECOSYSTEMS & ENVIRONMENT, 2007, 121 (1-2) :5-20
[6]  
Andrade R, 2005, CURR SCI INDIA, V89, P677
[7]  
[Anonymous], 2000, LAND USE LAND USE CH
[8]  
[Anonymous], 2006, DIGITAL SOIL MAPPING
[9]  
Anselin L., 2005, Geographic Information Systems and Science, V2
[10]   Uncertainty analysis for soil-terrain models [J].
Bishop, TFA ;
Minasny, B ;
McBratney, AB .
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE, 2006, 20 (02) :117-134