
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Ecological–Economic Modelling of Traditional Agroforestry to Promote Farmland Biodiversity with Cost-Effective Payments

Orchard meadows, a traditional agroforestry system in Switzerland combining the dual use fruit and fodder production, are declining, even though the farmland managed under agri-environmental schemes (AES) has been expanding. Despite increasing interest in agroforestry research for developing sustainable agriculture, it is poorly understood how subsidies contribute to the maintenance of trees on agricultural land and the promotion of farmland biodiversity. Therefore, the objective of the present study is to examine the effects of incentive-based AES on both farmers’ decisions regarding trees and biodiversity by developing an ecological–economic assessment model. To explore cost-effective AES, we explicitly consider the heterogeneity of farm types. We apply this integrated model to the farms in Schwarzbubenland, a small hilly region in Northern Switzerland. Results show that the adoption of AES and the compliance costs of participating in AES considerably vary among farm types, and the current AES do not provide farmers with sufficient payments to maintain any type of orchard meadows, despite the ecological benefits of orchard meadows. The integrating modeling developed in this study enables us to better understand the relationship between subsidies and biodiversity through farmers’ decisions on land use and facilitates the design of cost-effective payments for the maintenance of agroforestry.
- Justus Liebig University Giessen Germany
- ETH Zurich Switzerland
- Leibniz Association Germany
- Leibniz Centre for Agricultural Landscape Research Germany
Environmental effects of industries and plants, cost effectiveness, agroforestry; biodiversity; agri-environmental schemes; integrated ecological–economic modeling; cost effectiveness, TJ807-830, agroforestry; biodiversity; agri-environmental schemes; integrated ecological-economic modeling; cost effectiveness, TD194-195, Renewable energy sources, agroforestry, Environmental sciences, agroforestry ; biodiversity ; agri-environmental schemes ; integrated ecological–economic modeling ; cost effectiveness, agri-environmental schemes, integrated ecological–economic modeling, integrated ecological-economic modeling, GE1-350, biodiversity
Environmental effects of industries and plants, cost effectiveness, agroforestry; biodiversity; agri-environmental schemes; integrated ecological–economic modeling; cost effectiveness, TJ807-830, agroforestry; biodiversity; agri-environmental schemes; integrated ecological-economic modeling; cost effectiveness, TD194-195, Renewable energy sources, agroforestry, Environmental sciences, agroforestry ; biodiversity ; agri-environmental schemes ; integrated ecological–economic modeling ; cost effectiveness, agri-environmental schemes, integrated ecological–economic modeling, integrated ecological-economic modeling, GE1-350, biodiversity
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).11 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Average impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
