Dataset extent

© OpenStreetMap contributors, © CartoDB

Managing Agricultural Nitrogen and Phosphorus Pollution: Field to Catchment Scale

This research project investigated nitrogen (N) and phosphorus (P) dynamics in arable fields to determine the pollution potential of different South African cropping systems. Field trials were conducted on wheat, potato-maize rotations, and sugarcane to evaluate fertilizer use efficiency and nutrient leaching. The study also assessed the utility of hydrological models like Hydrus, APSIM, and SWAT to quantify non-point source pollution at both field and catchment scales, specifically focusing on the Lower Vaal and Middle Olifants Catchments.

Data and Resources

This dataset has no data

Additional Info

Field Value
Email orders@wrc.org.za
Authors
Author 1
Author first name
Michael
Author surname
van der Laan
Email
orders@wrc.org.za
Author organization
University of Pretoria
Department
Department of Plant and Soil Sciences
Is this author a contact person for the dataset?
true
Contact person
Contact 1
Contact name
Michael
Email
orders@wrc.org.za
Contact organization
University of Pretoria
Department
Department of Plant and Soil Sciences
Recommended citation VAN DER LAAN M and FRANKE L (2018) Quantifying and managing agricultural nitrogen and phosphorus pollution from field to catchment scale, WRC Report No. K5/2501//4. Water Research Commission, Pretoria.
Did the author / contact organization collect the data? true
Name of organization that collected the data University of Pretoria
Dataset language English
Publisher Water Research Commission
Publication date 2018-12-01
Project number K5/2501//4
License Open (Creative commons)
License URL https://creativecommons.org/licenses/by/4.0/
Keywords nitrogen leaching, phosphorus pollution, eutrophication, hydrological modelling, APSIM, SWAT, Lower Vaal, Middle Olifants
Geographic location or bounding box coordinates [-24.0, 24.5, -29.0, 30.5]
Topic category Agriculture
Data structure category Semi-structured (does not fully conform to the tabular format of structured data, but may contain tags or markers identifying properties to arrange it into an organisational framework)
Uploader estimation of extent to which data have been processed Refined
Is the data time series or static Both
Data reference date
Data reference date 1
Data reference date (from)
2015-04-01
Data reference date (to)
2019-04-01
Alternate identifier WRC Project No. K5/2501//4
Vertical extent datum masl
Vertical minimum-maximum extent
Vertical minimum-maximum extent 1
Minimum vertical extent
0
Maximum vertical extent
3451
I agree to the data management plan and terms and conditions of the WRO true