The (un)sustainability of the land use practices and agricultural production in EU countries

Fanelli, Rosa Maria

doi:10.1080/00207233.2018.1560761

Cited by 21 publications

(23 citation statements)

References 61 publications

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“…Indeed, on the one hand, the results of the HCA clearly show that the first group of EU countries (in the centre and north of the EU), labelled "Intensive agricultural system" registered a high impact on natural resources (air and soil) and a high use of water. This result provides evidence, in accordance with other recent studies [32,33], of a strong relationship between GHG emissions and the livestock sector. In these countries, for more environmentally-friendly and sustainable agriculture activities, any measures taken should aim to limit the intensity of livestock farming to promote sustainable production and to limit resource use (soil and water).…”

Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 93%

“…In conclusion, the results of the analysis are in line with other studies [32,33,42,58] that have applied multivariate analysis and confirm that policy design should not consider the EU context as a whole. On the contrary, it should take into account the land-use practices and the productive particularities, as well as the temporal trends in the use of natural resources and chemical inputs (fertilizers and pesticides).…”

Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 89%

“…In particular, GHG emissions from livestock production were closer to 51% of global GHG emissions [32,[44][45][46][47]. These negative effects of agricultural practices on the environment have a high correlation, in accordance with recent studies [32,33], with an increase in almost all EU countries in livestock production, due, in the main part, to an increase in meat consumption. The latter can be attributed to a lack of essential information for consumers (sustainable education) and to an increase in consumer income in all EU countries.…”

Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 74%

“…For example, Payraudeau and van der Werf (2005) [24] have applied six main types of method (environmental risk mapping, life cycle analysis, environmental impact assessment, multi-agent system, linear programming, and AEIs) for assessing the environmental impact of agriculture on the scale of a farming region. Furthermore, several studies, with the application of the multivariate method to different sets of indicators, have synthesized relevant data, shown change, or defined the status of a certain aspect of different agricultural systems at the national, regional, and local level [25][26][27][28][29][30][31][32][33].…”

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

Fanelli

2020

Environments

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It is widely known that agricultural practices can alter natural ecosystems, both from a qualitative and quantitative point of view. Indeed, over the years, the intensification of production through excessive or inappropriate use of pesticides and fertilisers in the agricultural sector has had a negative impact on natural resources. This negative environment impact has had both minor and major consequences for the natural resources present in the different areas of the European Union (EU). This variability depends mainly on the different agricultural training of farmers and on their ability to practise sustainable agriculture. Hence, with a specific set of agri-environmental indicators provided by the Eurostat database, this paper analyses the spatial and temporal variation of the agricultural land-use practices and the related environmental effects in EU countries. In pursuit of this aim, descriptive statistics and multivariate analysis (factor analysis and hierarchical cluster analysis) were adopted to determine the similarities/dissimilarities between the different types of agricultural production in the EU and the dominant dimensions of agricultural production and activities there in terms of their impact of natural resources in order to identify "homogeneity" among member states. The main contribution of this paper lies, above all, in the fact that the classification of these countries in four agro-ecosystems, with similar use of energy, pollution factors, and natural resources, could be useful as a tool for policymakers. Importantly, it could help them to define different incentives that could encourage farmers to adopt more sustainable agricultural production methods.

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Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 93%

Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 89%

Section: Discussion and The Environmental Policy Implicationssupporting

confidence: 74%

Section: Introductionmentioning

confidence: 99%

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The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

Fanelli

2020

Environments

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“…The SUREVEG project [4] focuses on the effects of different organic fertilizer strategies in strip-cropping systems to increase biodiversity [5], improve soil fertility, and reduce the use of natural resource [6,7]. The project's field trials are spread out all over Europe to account for the variation in the environmental effects of agricultural practices within and between the European Union (EU) [8]. Using a multi-cropping system enhances resilience [5], system sustainability, local nutrient recycling, and soil carbon storage, all while increasing production [9].…”

Section: Introductionmentioning

confidence: 99%

Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System

et al. 2020

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The SUREVEG project focuses on improvement of biodiversity and soil fertility in organic agriculture through strip-cropping systems. To counter the additional workforce a robotic tool is proposed. Within the project, a modular proof of concept (POC) version will be produced that will combine detection technologies with actuation on a single-plant level in the form of a robotic arm. This article focuses on the detection of crop characteristics through point clouds obtained with two lidars. Segregation in soil and plants was successfully achieved without the use of additional data from other sensor types, by calculating weighted sums, resulting in a dynamically obtained threshold criterion. This method was able to extract the vegetation from the point cloud in strips with varying vegetation coverage and sizes. The resulting vegetation clouds were compared to drone imagery, to prove they perfectly matched all green areas in said image. By dividing the remaining clouds of overlapping plants by means of the nominal planting distance, the number of plants, their volumes, and thereby the expected yields per row could be determined.

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The ‘Similarity’ of Agri-Food Trade Flows between the EU-28 and the Asia-50

Fanelli

Giglio

2020

The International Trade Journal

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The (un)sustainability of the land use practices and agricultural production in EU countries

Cited by 21 publications

References 61 publications

The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

The Spatial and Temporal Variability of the Effects of Agricultural Practices on the Environment

Acquiring Plant Features with Optical Sensing Devices in an Organic Strip-Cropping System

The ‘Similarity’ of Agri-Food Trade Flows between the EU-28 and the Asia-50

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