Appropriate metrics to inform farmers about species diversity
In: Environmental science & policy, Band 41, S. 52-62
ISSN: 1462-9011
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In: Environmental science & policy, Band 41, S. 52-62
ISSN: 1462-9011
In: Environmental science & policy, Band 41
ISSN: 1462-9011
In: Land use policy: the international journal covering all aspects of land use, Band 49, S. 20-34
ISSN: 0264-8377
Accounting for more than half of the European Union's (EU) territory, agriculture ensures food production, manages important natural resources and supports socio-economic development of rural areas. Moreover, it is estimated that 50% of all plant and animal species (including some of that are listed in the EU Habitat Directive) depend on agricultural practices. The continuation of appropriate agricultural land management is essential to ensure these primary functions. Avoidance of farmland abandonment is therefore an important rationale for the EU's Common Agricultural Policy which requires improved knowledge of this phenomenon at the European level. This study assesses the risk of farmland abandonment in the 27 EU Member States. It summarizes the work performed by an expert panel of European scientists and national representatives which aimed to identify the main drivers of farmland abandonment in Europe, to define indicators for assessing its risk of occurrence and to test the value of European-wide data sources to achieve these aims. Drivers were identified under two rationales: low farm stability and viability, and negative regional context. Indicators were defined using recent socio-economic farm data and geospatial datasets. Some indicators were then combined to make a composite risk indicator. Regions with higher risk of farmland abandonment are located in Portugal, Spain, Italy, Greece, Latvia, Estonia, Finland, Sweden and Ireland. This paper demonstrates the challenges of performing a European-wide assessment of a phenomenon influenced by drivers whose effects vary at local levels. Other problems encountered are data heterogeneity in terms of spatial resolution and quality, as well as access to micro-data (local level data). High spatial resolution European datasets measuring farmland abandonment are needed to validate the defined indicators as well as to benchmark the methodology. Furthermore, such data could be used to establish a weighting system for the drivers.
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In: Terres , J M , Scacchiafichi , L N , Wania , A , Ambar , M , Anguiano , E , Buckwell , A , Coppola , A , Gocht , A , Källström , H N , Pointereau , P , Strijker , D , Visek , L , Vranken , L & Zobena , A 2015 , ' Farmland abandonment in Europe : Identification of drivers and indicators, and development of a composite indicator of risk ' , Land Use Policy , vol. 49 , pp. 20-34 . https://doi.org/10.1016/j.landusepol.2015.06.009 ; ISSN:0264-8377
Accounting for more than half of the European Union's (EU) territory, agriculture ensures food production, manages important natural resources and supports socio-economic development of rural areas. Moreover, it is estimated that 50% of all plant and animal species (including some of that are listed in the EU Habitat Directive) depend on agricultural practices. The continuation of appropriate agricultural land management is essential to ensure these primary functions. Avoidance of farmland abandonment is therefore an important rationale for the EU's Common Agricultural Policy which requires improved knowledge of this phenomenon at the European level. This study assesses the risk of farmland abandonment in the 27 EU Member States. It summarizes the work performed by an expert panel of European scientists and national representatives which aimed to identify the main drivers of farmland abandonment in Europe, to define indicators for assessing its risk of occurrence and to test the value of European-wide data sources to achieve these aims. Drivers were identified under two rationales: low farm stability and viability, and negative regional context. Indicators were defined using recent socio-economic farm data and geospatial datasets. Some indicators were then combined to make a composite risk indicator. Regions with higher risk of farmland abandonment are located in Portugal, Spain, Italy, Greece, Latvia, Estonia, Finland, Sweden and Ireland. This paper demonstrates the challenges of performing a European-wide assessment of a phenomenon influenced by drivers whose effects vary at local levels. Other problems encountered are data heterogeneity in terms of spatial resolution and quality, as well as access to micro-data (local level data). High spatial resolution European datasets measuring farmland abandonment are needed to validate the defined indicators as well as to benchmark the methodology. Furthermore, such data could be used to establish a weighting system for the drivers.
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In: Programme cadre français pour la recherche et l'innovation en Agriculture Biologique : 100 objectifs(2017)
Malgré un fort potentiel tant en production qu'en recherche, la France ne s'est jusque-ici pas suffisamment impliquée à la hauteur des enjeux dans des appels à projets pour le développement de l'agriculture biologique. Ceci peut être attribué à un manque de mobilisation collective et à la petite taille ou à la dispersion des équipes de recherche impliquées en bio. Ce document vise à compenser cette lacune, en s'inspirant de la démarche des plateformes technologiques européennes. Ce programme-cadre est un panorama des besoins de recherche identifiés par les acteurs français pour appuyer le développement de l'agriculture biologique. Il vise d'une part à suggérer des thèmes aux financeurs qui élaborent des appels à projets tant en France qu'au niveau européen et d'autre part à inspirer les équipes de chercheurs susceptibles d'y contribuer. Il résulte d'un travail collaboratif conduit pendant une année et demie par une équipe de volontaires et nourri par plusieurs consultations avec des acteurs de la bio. Dans une première partie, un cadre conceptuel est présenté brièvement. Conformément à l'ambition transformatrice de son projet fondateur, l'agriculture biologique est ici représentée en tant que système alimentaire bio. Ce projet recouvre plusieurs dimensions : productives, alimentaires et sanitaires, environnementales, sociales, économiques, politiques, institutionnelles. Ces multiples dimensions sont inscrites dans diverses politiques publiques, dont, au premier chef, la réglementation européenne. Mais leur articulation comme leur mise en œuvre sont parfois problématiques, en particulier du fait de l'inadéquation des modes d'évaluation des performances multiples et d'une focalisation sur des besoins immédiats, au détriment d'une vision à plus long terme privilégiant une re-conception de systèmes ou d'arbitrages dans des trajectoires de transition. L'approche systémique est un des atouts qui font de la bio un objet de recherche particulièrement intéressant en tant que prototype de système alimentaire durable.
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Conversion of semi-natural habitats, such as field margins, fallows, hedgerows, grassland, woodlots and forests, to agricultural land could increase agricultural production and help meet rising global food demand. Yet, the extent to which such habitat loss would impact biodiversity and wild species is unknown. Here we survey species richness for four taxa (vascular plants, earthworms, spiders, wild bees) and agricultural yield across a range of arable, grassland, mixed, horticulture, permanent crop, for organic and non-organic agricultural land on 169 farms across 10 European regions. We find that semi-natural habitats currently constitute 23% of land area with 49% of species unique to these habitats. We estimate that conversion of semi-natural land that achieves a 10% increase in agricultural production will have the greatest impact on biodiversity in arable systems and the least impact in grassland systems, with organic practices having better species retention than nonorganic practices. ; This work was funded by the European Union through FP7 project BioBio (Indicators for biodiversity in organic and low-input farming systems; www.biobio-indicator.org; Agreement Nr. 227161), by the Austrian Ministry for Science and Research, and by the Lendület program of the Hungarian Academy of Sciences. ; Peer reviewed
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International audience ; About one-third of the world's land surface is used for farming, a fact that bears important implications for biodiversity. In Europe, for instance, an estimated 50 percent of all wild species are reliant on agricultural habitats, while agricultural productivity often depends on the presence or absence of particular species. Despite this close coupling, surprisingly little is known about the status and evolution of farmland biodiversity. A team of European and African researchers, hoping to fill this gap in information, recently invented and piloted a new toolbox called the BioBio indicator set, which measures 23 different instances of biodiversity across a variety of farm types and scales in Europe. Applications were also tested in Tunisia, Ukraine, and Uganda, where they proved a feasible starting point for adaptation to the agricultural context of different countries.
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About one-third of the world's land surface is used for farming, a fact that bears important implications for biodiversity. In Europe, for instance, an estimated 50 percent of all wild species are reliant on agricultural habitats, while agricultural productivity often depends on the presence or absence of particular species. Despite this close coupling, surprisingly little is known about the status and evolution of farmland biodiversity. A team of European and African researchers, hoping to fill this gap in information, recently invented and piloted a new toolbox called the BioBio indicator set, which measures 23 different instances of biodiversity across a variety of farm types and scales in Europe. Applications were also tested in Tunisia, Ukraine, and Uganda, where they proved a feasible starting point for adaptation to the agricultural context of different countries.
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