|
|
||||||||
Department of Soil Science and Geology, Wageningen Agricultural Univ., P.O. Box 37, 6700 AA Wageningen, the Netherlands
* Corresponding author ( peter.droogers{at}oio.beng.wau.nl).
ABSTRACT
Soil survey information combined with exploratory simulation modeling was used to define indicators for sustainable land management. In one soil series in the Netherlands (the genoform), three different phenoforms were formed as a result of different management practices. Locations were identified using a soil map and interviews with farmers. Organic matter, bulk densities, and porosities were significantly different for the three phenoforms: biodynamic management (Bio), conventional management (Conv), and permanent grassland (Perm). By applying a dynamic simulation model for water movement, crop growth and N dynamics, the three phenoforms were analyzed in terms of sustainability indicators by defining four scenarios based on productivity and N leaching to the groundwater: (i) potential production, (ii) water-limited production, (iii) current management, and (iv) the environmental scenario. The latter was divided into EnvA: never exceeding the N-leaching threshold of 11.3 mg L-1; EnvB: exceedance occurring in one out of 30 yr; and EnvC: exceedance occurring in three out of 30 yr. Biodynamic management obtained the lowest yield under current management, while yields for Perm were highest. EnvA could not be reached for Perm as a result of high mineralization rates. Obtainable yields for scenarios EnvA, EnvB, and EnvC differed substantially, illustrating the importance of selecting "acceptable" risks in environmental regulation. The presented methodology demonstrates the importance of pedological input in sustainability studies.
This study was supported by the Netherlands Geosciences Foundation (GOA) with financial aid from the Netherlands Organization for Scientific Research (NWO). The work is part of the research program of the C.T. de Wit Graduate School of Production Ecology.
Received for publication September 30, 1996.
This article has been cited by other articles:
![]() |
H. Lin and H. Lin Hydropedology: Bridging Disciplines, Scales, and Data Vadose Zone J., February 1, 2003; 2(1): 1 - 11. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. A. Shirazi, L. Boersma, and C. B. Johnson Particle-Size Distributions: Comparing Texture Systems, Adding Rock, and Predicting Soil Properties Soil Sci. Soc. Am. J., March 1, 2001; 65(2): 300 - 310. [Abstract] [Full Text] [PDF] |
||||
![]() |
M. A. Shirazi, L. Boersma, P. K. Haggerty, and C. B. Johnson Spatial Extrapolation of Soil Characteristics Using Whole-Soil Particle Size Distributions J. Environ. Qual., January 1, 2001; 30(1): 101 - 111. [Abstract] [Full Text] |
||||
![]() |
M. A. Shirazi, L. Boersma, C. B. Johnson, and P. K. Haggerty Predicting Physical and Chemical Water Properties from Relationships with Watershed Soil Characteristics J. Environ. Qual., January 1, 2001; 30(1): 112 - 120. [Abstract] [Full Text] |
||||
![]() |
B.J. Van Alphen and J.J. Stoorvogel A Functional Approach to Soil Characterization in Support of Precision Agriculture Soil Sci. Soc. Am. J., September 1, 2000; 64(5): 1706 - 1713. [Abstract] [Full Text] |
||||
![]() |
M.M. Pulleman, J. Bouma, E.A. van Essen, and E.W. Meijles Soil Organic Matter Content as a Function of Different Land Use History Soil Sci. Soc. Am. J., March 1, 2000; 64(2): 689 - 693. [Abstract] [Full Text] |
||||
![]() |
J. Bouma, J. Stoorvogel, B.J. van Alphen, and H.W.G. Booltink Pedology, Precision Agriculture, and the Changing Paradigm of Agricultural Research Soil Sci. Soc. Am. J., November 1, 1999; 63(6): 1763 - 1768. [Abstract] [Full Text] [PDF] |
||||
| HOME | HELP | FEEDBACK | SUBSCRIPTIONS | ARCHIVE | SEARCH | TABLE OF CONTENTS |
| The SCI Journals | Agronomy Journal | Crop Science | |||
| Journal of Natural Resources and Life Sciences Education |
Vadose Zone Journal | ||||
| Journal of Plant Registrations | Journal of Environmental Quality |
The Plant Genome | |||