4.7 Article

The curse of the past - What can tile drain effluent tell us about arable field management?

Journal

AGRICULTURE ECOSYSTEMS & ENVIRONMENT
Volume 326, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.agee.2021.107787

Keywords

Agricultural management; Tile drains; Nitrate; Phosphorus; Water pollution; Multivariate statistics; Random forest modelling

Funding

  1. State Office for the Environment, Nature Conservation and Geology, Mecklenburg-Vorpommern, Germany

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One challenge for modern agricultural management is reducing harmful effects on the environment, particularly nutrient emissions. This study found that sampling the effluent of tile drains is an effective way to assess the efficacy of management measures. The results showed that direct effects of recent agricultural management were minimal, while long-term agricultural activities had indirect effects on nearly all solutes.
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.

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