Erhöhte Humusvorräte in einem siebenjährigen Agroforstsystem in der Zentralschweiz

Moderne Agroforstsysteme haben das Potenzial, eine produktive Landwirtschaft mit verbesserter Erreichung der «Umweltziele Landwirtschaft» zu verbinden. Diese Systeme werden in der Schweiz allerdings erst seit kurzem von wenigen Landwirten getestet, daher liegen bisher kaum Daten zu den Umweltwirkungen von modernen Agroforstsystemen vor. In dieser Studie untersuchten wir, wie sich die Humusvorräte in einem siebenjährigen Agroforstsystem in der Zentralschweiz verändert haben. Unsere Resultate zeigen, dass bereits nach sieben Jahre eine substanzielle Humusanreicherung (+18 %) in der Baumreihe verglichen mit der kultivierten Fläche zu beobachten ist. Erstaunlicherweise beschränkte sich die Humusanreicherung nicht nur auf den Oberboden, sondern konnte auch bis in eine Tiefe von 60 cm nachgewiesen werden. Eine erste Schätzung der jährlichen Humusanreicherung in der untersuchten Agroforstparzelle beträgt 0,86 t Kohlenstoff pro Hektare und Jahr beziehungsweise 91 kg Stickstoff pro Hektare und Jahr für die Bodentiefe 0–60 cm. Die Magnitude dieser ersten Schätzung zeigt, dass die weitere Erforschung der Humusdynamik in Agroforstsystemen aus Sicht des Boden-, Klima- und Gewässerschutzes von grosser Bedeutung ist

Initial modelled outputs at field scale

This report comprises Deliverable 6.16 in the project, which contributes to the third objective as it presents field-scale evaluation of innovations, in order to adapt and evaluate agroforestry designs and practices for locations where agroforestry is currently not-widely practised or declining. The modelling of outputs at field scale to support best agroforestry practices is an ongoing activity during the AGFORWARD project. This report highlights some of the outputs which has been produced in the form of three papers (either submitted or about to be submitted to a peer-reviewed journal) or in four presentations at the Third European Agroforestry Conference in May 2016N/

Mapping and linking supply- and demand-side measures in climate-smart agriculture. A review

Climate change and food security are two of humanity’s greatest challenges and are highly interlinked. On the one hand, climate change puts pressure on food security. On the other hand, farming significantly contributes to anthropogenic greenhouse gas emissions. This calls for climate-smart agriculture—agriculture that helps to mitigate and adapt to climate change. Climate-smart agriculture measures are diverse and include emission reductions, sink enhancements, and fossil fuel offsets for mitigation. Adaptation measures include technological advancements, adaptive farming practices, and financial management. Here, we review the potentials and trade-offs of climate-smart agricultural measures by producers and consumers. Our two main findings are as follows: (1) The benefits of measures are often site-dependent and differ according to agricultural practices (e.g., fertilizer use), environmental conditions (e.g., carbon sequestration potential), or the production and consumption of specific products (e.g., rice and meat). (2) Climate-smart agricultural measures on the supply side are likely to be insufficient or ineffective if not accompanied by changes in consumer behavior, as climate-smart agriculture will affect the supply of agricultural commodities and require changes on the demand side in response. Such linkages between demand and supply require simultaneous policy and market incentives. It, therefore, requires interdisciplinary cooperation to meet the twin challenge of climate change and food security. The link to consumer behavior is often neglected in research but regarded as an essential component of climate-smart agriculture. We argue for not solely focusing research and implementation on one-sided measures but designing good, site-specific combinations of both demand- and supply-side measures to use the potential of agriculture more effectively to mitigate and adapt to climate change

Drivers of swiss agroforestry it's not all about money

info:eu-repo/semantics/publishedVersio

Variability of Quality of Life at Small Scales: Addis Ababa, Kirkos Sub-City

Quality of life, Quality of life variability, GIS, Kirkos sub-city, Addis Ababa,