JEQ
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


This Article
Right arrow Abstract Freely available
Right arrow Full Text Free
Right arrow Full Text (PDF) Free
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Similar articles in ISI Web of Science
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via ISI Web of Science (17)
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Keller, A.
Right arrow Articles by Schulin, R.
Right arrow Search for Related Content
PubMed
Right arrow PubMed Citation
Right arrow Articles by Keller, A.
Right arrow Articles by Schulin, R.
GeoRef
Right arrow GeoRef Citation
Agricola
Right arrow Articles by Keller, A.
Right arrow Articles by Schulin, R.
Related Collections
Right arrow Sustainable Agriculture
Right arrow Heavy Metals
Right arrow Other Models
Right arrow Soil Pollution

A Stochastic Empirical Model for Regional Heavy-Metal Balances in Agroecosystems

A. Keller*,a, B. von Steigerb, S.E.A.T.M. van der Zeec and R. Schulina

a Swiss Federal Institute of Technology (ETH Zürich), Institute of Terrestrial Ecology, Grabenstr. 3, CH-8952 Schlieren, Switzerland
b Ecole Polytechnique Fédérale de Lausanne (EPF Lausanne), CE-Ecublens CH-1015 Lausanne, Switzerland
c Wageningen Univ., Environmental Sciences, Soil Quality, P.O. Box 8005, 6700 EC Wageningen, The Netherlands



View larger version (47K):

[in a new window]
 
Fig. 1. General balance scheme for (a) the farm scale and (b) the regional balance model PROTERRA-S.

 


View larger version (66K):

[in a new window]
 
Fig. 2. Distribution of agricultural land (1-ha gridcells) in the Sundgau region, Switzerland (total area = 95 km2).

 


View larger version (16K):

[in a new window]
 
Fig. 3. Simulated cadmium balance for the regional scale. The boxes give the interquartile range (IQR). The horizontal bar in each box indicates the median. The length of the whiskers is 1.5 x IQR, values outside these limits are plotted as points. IMan = inputs by animal manure; ISe, ICF, and IPes = inputs with sewage sludge, commercial fertilizer, and pesticides, respectively; IAtm = atmospheric deposition; OCrop = output by crop removal; OL = leaching; and xmed = median flux.

 


View larger version (21K):

[in a new window]
 
Fig. 4. Area-cumulated cadmium net fluxes of the land-use systems and the regional balance. The estimated 90% confidence intervals for the land use systems are also given.

 


View larger version (17K):

[in a new window]
 
Fig. 5. Simulated zinc balance for the regional scale. The boxes give the interquartile range (IQR). The horizontal bar in each box indicates the median. The length of the whiskers is 1.5 x IQR, values outside these limits are plotted as points. IMan = inputs by animal manure; ISe, ICF, and IPes = inputs with sewage sludge, commercial fertilizer, and pesticides, respectively; IAtm = atmospheric deposition; OCrop = output by crop removal; OL = leaching; and xmed = median flux.

 


View larger version (21K):

[in a new window]
 
Fig. 6. Area-cumulated zinc net fluxes of the land-use systems and the regional balance. The estimated 90% confidence intervals for the land use systems are also given. For graphical presentation, original metal flux values were transformed adding Ytrans.

 





HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Agronomy Journal Crop Science
Vadose Zone Journal Journal of Plant Registrations
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Copyright © 2001 by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America.