TY  - JOUR
A1  - Steidl, Jörg
A1  - Lischeid, Gunnar
A1  - Engelke, Clemens
A1  - Koch, Franka
T1  - The curse of the past
BT  - What can tile drain effluent tell us about arable field management?
JF  - Agriculture, Ecosystems & Environment
N2  - One challenge for modern agricultural management schemes is the reduction of harmful effects on the envi-ronment, e.g. in terms of the emission of nutrients. Sampling the effluent of tile drains is a very efficient way to sample seepage water from larger areas directly underneath the main rooting zone. Time series of solute con-centration in tile drains can be linked to agricultural management data and thus indicate the efficacy of individual management measures. To that end, the weekly runoff and solute concentration were determined in long-term measurement campaigns at 25 outlets of artificial tile drains at 19 various arable fields in the German federal state of Mecklenburg-Vorpommern. The study sites were distributed within a 23,000 km(2) region and were deemed representative of intense arable land use. In addition, comprehensive meteorological and man-agement data were provided. To disentangle the different effects, monitoring data were subjected to a principal component analysis. Loadings on the prevailing principal components and spatial and temporal patterns of the component scores were considered indicative of different processes. Principal component scores were then related to meteorological and management data via random forest modelling. Hydrological conditions and weather were identified as primary driving forces for the nutrient discharge behaviour of the drain plots, as well as the nitrogen balance. In contrast, direct effects of recent agricultural management could hardly be identified. Instead, we found clear evidence of the long-term and indirect effects of agriculture on nearly all solutes. We conclude that tile drain effluent quality primarily reflected the soil-internal mobilisation or de-mobilisation of nutrients and related solutes rather than allowing inferences to be drawn about recent individual agricultural management measures. On the other hand, principal component analysis revealed a variety of indirect and long-term effects of fertilisation on solutes other than nitrogen or phosphorus that are still widely overlooked in nutrient turnover studies.
KW  - Agricultural management
KW  - Tile drains
KW  - Nitrate
KW  - Phosphorus
KW  - Water
KW  - pollution
KW  - Multivariate statistics
KW  - Random forest modelling
Y1  - 2021
U6  - https://doi.org/10.1016/j.agee.2021.107787
SN  - 0167-8809
SN  - 1873-2305
VL  - 326
PB  - Elsevier
CY  - Amsterdam
ER  -