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Sustainability

Bodenverdichtung

How does compacted soil recover?

It takes mere seconds to compact a soil, but years or even decades for it to recover. Biological activities by plant roots and soil organisms (earthworms) as well as physical effects like drying out and rewetting phases, and freezing-thawing cycles are vital for natural regeneration. Exactly how recovery happens is being investigated in a long-term field trial. For this, an observational infrastructure with hundreds of soil probes – the Soil Structure Observatory (SSO) – was set up in 2014 together with ETH Zurich. After the initial compaction event, a fallow, a permanent grassland and a crop rotation with and without tillage were set up. This allows to analyse e.g. the influence of plants and tillage on recovery.

Bodenfruchtbarkeit und Bodenschutz
SoilStructureObservatory
Regeneration verdichteter Böden

Publikation Arbeitshaltung Melken

Ergonomics in the milking parlour

Milkers frequently suffer from musculoskeletal disorders, especially in the area of the shoulders and arms.  Agroscope therefore investigated whether appropriate working heights can reduce workload in the milking parlour. For this, the angle of flexion of various joints during milking was recorded in one experiment, whilst a second experiment recorded muscle contractions at three different heights. The study showed that although a lower working height in the milking parlour has no effect on forearms or upper arms, it significantly reduces strain on the shoulders. 

Projektnummer: 22.14.19.09.01

Umweltbeobachtung und -kommunikation

In diesem Projekt wird untersucht, wie sich die landwirtschaftlichen Praktiken und ihr Einfluss auf die Umwelt über die Zeit verändern und bietet damit eine wichtige Grundlage für die Politik und die Überprüfung der Erreichung agrarumweltpolitischer Ziele (z.B. Absenkpfade Nährstoffe). Das Agrarumweltmonitoring stellt diese zeitlichen Trends mithilfe verschiedener Agrarumweltindikatoren für Regionen sowie Betriebstypen dar. Im Rahmen eines Weiterentwicklungsprojekts wird das Agrarumweltmonitoring neu ausgerichtet, um möglichst viele bestehende Daten zu nutzen und neue Datenquellen aus Fernerkundungsprodukten und Farm-Management-Informationssystemen zu erschliessen. Zusätzlich zum Agrarumweltmonitoring wird ein Monitoring auf der Ebene von Nahrungsmitteln eingeführt.

Name, Vorname Standort
Aasen Helge Reckenholz
Baumgartner Simon Reckenholz
Blaser Silvio Reckenholz
Bretscher Daniel Reckenholz
Douziech Mélanie Reckenholz
Gilgen Anina Reckenholz
Liebisch Frank Reckenholz
Merbold Lutz Reckenholz
Schneuwly Jérôme Reckenholz
Spiess Ernst Reckenholz

Merbold L., Cluset R., Mottet A.
Towards agroecological food systems transformation: Experience with TAPE.
RURAL 21, 58, (2), 2024, 46-48.

Anderegg J., Kirchgessner N., Aasen H., Zumsteg O., Keller B., Zenkl R., Walter A., Hund A.
Thermal imaging can reveal variation in stay-green functionality of wheat canopies under temperate conditions.
Frontiers in Plant Science, 15, 2024, Artikel 1335037.

Aasen H., Gilgen A., Ledain S.
Improving large-scale hybrid LAI retrieval with local soil data and noise.
In: PANGEOS COST Action. 4. July, Sofia (BG). 2024, 1-15.

Baumgartner S., Spiess E., Liebisch F., Gilgen A.
Regionale Stickstoffbilanzen: Erste Ergebnisse von MAUS (Monitoring des Agrarumweltsystems Schweiz).
Agroscope Science, 185, 2024.

Schneuwly J., Gilgen A., Bretscher D.
Modelling greenhouse gas emissions at farm level across Switzerland.
In: General Assembly of the European Geosciences Union EGU. 18. April, Hrsg. EGU, Wien. 2024, 1.

Baumgartner S., Felder R., Herzog F., Jeanneret P., Séchaud R., Paunovic S., Lucatoni D., Cluset R., Mottet A., Merbold L., Gilgen A.
An improved biodiversity index for FAO's Tool for Agroecology Performance Evaluation (TAPE).
In: EGU General Assembly 2024. 18 April, Wien. 2024, 1.

Drake T., Baumgartner S., Barthel M., Bauters M., Alebadwa S., Bahizire N., Haghipour N., Eglinton T., Van Oost K., Boeckx P., Six J.
Agricultural land‐use increases carbon yields in lowland streams of the Congo basin.
Journal of Geophysical Research: Biogeosciences, 129, 2024, 1-14.

Türkoglu M. Ö., Aasen H., Schindler K., Wegner J.
Country-wide cross-year crop mapping from optical satellite image time series.
In: EGU24. 14 April, Vienna. 2024, 1.

Douziech M., Bystricky M., Furrer C., Gaillard G., Lansche J., Roesch A., Nemecek T.
Recommended impact assessment method within Swiss Agricultural Life Cycle Assessment (SALCA): v2.01.
Agroscope Science, 183, 2024.

Aasen H.
10 years at the intersection of plant phenotyping and remote sensing.
In: Optimal and cost-effective UAV sensor synergies for trait-based field phenotyping and precision agriculture. 8 May, Hrsg. PANGEOS, Poznan (PL). 2024.

Ledain S., Stumpf F., Gilgen A., Aasen H.
Radiative transfer model-based LAI retrieval from Sentinel-2 data through machine learning, adding phenological constraints and soil information.
In: EGU General Assembly. 14 - 19 April, Vienna. 2024, 1.

Larcher D., Ledain S., Aasen H.
Comparing radiative transfer model-based LAI retrieval with in-situ observations and mechanistic modelling for grassland growth assessment.
In: EGU General Assembly. 14 - 19 April, Vienna. 2024, 1.

Kooistra L., Berger K., Brede B., Graf L. V., Aasen H., Roujean J.-L., Machwitz M., Schlerf M., Atzberger C., Prikaziuk E., Ganeva D., Tomelleri E., Croft H., Reyes Muñoz P., Garcia Millan V. und weitere
Reviews and syntheses: Remotely sensed optical time series for monitoring vegetation productivity.
Biogeosciences, 21, (2), 2024, 473-511.

Beal T., Gardner C., Herrero M., Iannotti L., Merbold L., Nordhagen S., Mottet A.
Friend or foe? The Role of animal-source foods in healthy and environmentally sustainable diets.
The Journal of Nutrition, 153, (2), 2023, 409-425.

Graf L., Merz Q., Walter A., Aasen H.
Insights from field phenotyping improve satellite remote sensing based in-season estimation of winter wheat growth and phenology.
Remote Sensing of Environment, 299, 2023, 1-16.

Gilgen A., Felder R., Baumgartner S., Herzog F., Jeanneret P., Séchaud R., Paunovic S., Merbold L., Lucantoni D., Cluset R., Mottet A.
How to assess the agroecological status of Swiss farming systems?: Application of the Tool for Agroecology Performance Evaluation (TAPE) and further development.
Agroscope Science, 172, 2023.

Kohler F., Baumgartner S.
Regionalisierung der N- und P-Bilanzen: Komplementäre Machbarkeitsstudien beim BFS und AGROSCOPE.
In: AgrStat Begleitgruppensitzung BFS. 30. Oktober, Neuchatel. 2023, 1-24.

Baumgartner S.
The Swiss agri-environmental data network (SAEDN).
In: Pacioli Workshop. 2 October, Ptuj. 2023, 1-16.

Drake T. W., Barthel M., Mbongo C. E., Mpambi D. M., Baumgartner S., Botefa C. I., Bauters M., Kurek M. R., Spencer R. G. M., McKenna A. M., Haghipour N., Ekamba G. L., Wabakanghanzi J. N., Eglinton T. I., Van Oost K. und weitere
Hydrology drives export and composition of carbon in a pristine tropical river.
Limnology and Oceanography, 68, (11), 2023, 2476-2491.

Blaser S., Gilgen A., Baumgartner S., Schneuwly J.
Ein barto-Baustein für MAUS.
In: 46. Agrarökonomie-Tagung. 21. November, Hrsg. Agroscope, Tänikon (CH). 2023, 1-24.

Baumgartner S., Schneuwly J.
Einführung Georeferenzierungsprojekt der ZA-AUI Parzellen.
In: Treuhändertagung. 31. Januar, Olten. 2023.

Gilgen A., Blaser S., Schneuwly J., Liebisch F., Merbold L.
The Swiss agri-environmental data network (SAEDN): Description and critical review of the dataset.
Agricultural Systems, 205, 2023, 1-9.

Merz Q., Walter A., Aasen H.
Using high-resolution drone data to assess apparent agricultural field heterogeneity at different spatial resolutions.
In: 42. GIL-Jahrestagung, Künstliche Intelligenz in der Agrar- und Ernährungswirtschaft. 22. Februar, Hrsg. Gesellschaft für Informatik e.V. 2022, 195-200.

Graf L., Aasen H., Perich G.
EOdal: An open-source Python package for large-scale agroecological research using Earth Observation and gridded environmental data.
Computers and Electronics in Agriculture, 203, 2022, 1-5.

Aasen H., Roth L.
Advances in high-throughput crop phenotyping using unmanned aerial vehicles (UAVs).
In: Advances in plant phenotyping for more sustainable crop production. Hrsg. Walter, Achim, Burleigh Dodds. 2022, 179-200.

Graf L. V., Bernardino P., Steinhauser S., Un Nisa Z., Berger K., Ganeva D., Palazón S. B., Verrelst J., Aasen H.
Impacts of radiometric uncertainty on the estimation of land surface phenology metrics.
In: ESA Living Planet Symposium. 23. Mai, Hrsg. European Space Agency, Bonn. 2022, 1.

Merz Q. N., Walter A., Maier R., Hörtnagl L., Buchmann N., Kirchgessner N., Aasen H.
Relationship of leaf elongation rate of young wheat leaves, gross primary productivity and environmental variables in the field with hourly and daily temporal resolution.
Agricultural and Forest Meteorology, 320, 2022, 1-10.

Rinder Fuetterung

Optimised feed reduces environmental impacts

On behalf of Micarna SA, Agroscope analysed the environmental impacts of beef, pork and poultry production. With beef production, feed intensity was crucial. In the case of pork and poultry production, the quantity of feed used per kg of meat had the greatest influence on environmental impacts. The use of European soya with its shorter transport distances had a positive effect. 

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