4.6 Article

Silvopasture policy promotion in European Mediterranean areas

期刊

PLOS ONE
卷 16, 期 1, 页码 -

出版社

PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pone.0245846

关键词

-

资金

  1. European Commission [727872]
  2. European Union [862674]
  3. Interreg Sudoe Programme [SOE2/P5/E0804]
  4. Xunta de Galicia, Conselleria de Educacion, Universidade e Formacion Profesional [213]
  5. H2020 Societal Challenges Programme [727872] Funding Source: H2020 Societal Challenges Programme

向作者/读者索取更多资源

Silvopasture, integrating trees with grazed pastures, is crucial for sustainable livestock farming. Although not widely used in Europe, policy measures are adapted to local needs, supporting existing agroforestry systems and focusing on forest fire prevention in areas without agroforestry practices.
Silvopasture is the deliberate integration of a woody component with grazed pastures as understorey. It is one of the most extended agroforestry practices all over the world. Silvopasture use is key to increase the sustainability of livestock farming systems as silvopasture reduces the use of concentrates since the woody component provides feed for animals. However, it is not an extensively used practice in Europe. This paper aims at evaluating, from Eurostat, LUCAS database and the 118 rural development programs, the current situation of permanent grasslands in the Mediterranean area of Europe as well as the rural development programmes fostering silvopasture to better understand how sustainable land use systems are promoted and provide insights to foster silvopasture across Europe. The results of this study show that most of the policy measures related to silvopasture are adapted to the local necessity. The already existing agroforestry managed land (dehesas/montado) are related to measures supporting regeneration and maintenance while in those areas where agroforestry does not exist the measures are related to forest fire prevention.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据