Spatial allocation of farming systems and farming indicators in Europe

Kempen, Markus; Elbersen, B.S.; Staritsky, I.G.; Andersen, Erling B.; Heckelei, Thomas

doi:10.1016/j.agee.2010.08.001

Cited by 26 publications

(12 citation statements)

References 8 publications

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“…Consequently, the decision of choosing the farm as a subject of investigation in the study of production systems at territorial scale is related to the purpose of bringing out and analysing the farmer's strategies (Bockstaller et al, 1997;Bechini and Stöckle, 2007;Kempen et al, 2011;Righi et al, 2011). At smaller scales those characteristics could be biased by data aggregation thus reducing their variability, while at grater scale they could be influenced by specific cultural conditions which make the observed behaviours more difficult to be interpreted (Volk and Ewert, 2011).…”

Section: Introductionmentioning

confidence: 99%

Diachronic Analysis of Farmers’ Strategies within a Protected Area of Central Italy

Silvestri¹,

Pistocchi²,

Sabbatini³

et al. 2012

Italian Journal of Agronomy

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The farm can be considered as the decision unit in the agricultural land management, therefore it is the most suitable scale to analyse the farmers' strategies of production. In this paper we describe the results of a comparison between two enquiries carried out in 1992-93 and 2009-10 on more than 30 farms, corresponding to about 1500 ha of utilised agricultural area (UAA), within the boundaries of the San Rossore, Migliarino, Massaciuccoli Regional Park (central-western Italy). We calculate a set of agri-environmental indicators both at territory and farm scale in order to point out the changes occurred over almost twenty years in the farms' structure, management and production features. The results showed that the major differences were related to fertilisers management (clearly decreasing), to the reduction of some crop types (industrial crops) and to the strong decrease of the gross marketable production. Furthermore, apparently stable indicators, such as the utilised agricultural area and the farm tractors' power, were actually the result of the compensation of contrasting trends. Farmers' behaviours were substantially homogeneous within the same typology of farm, highlighting common evolution strategies. The desirability of the occurred changes was also evaluated, underlining the improvement of environmental sustainability of the current cropping systems and a greater social acceptability of agricultural activities, while the evaluation from the farmers' point of view was less satisfactory.

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Section: Introductionmentioning

confidence: 99%

Diachronic Analysis of Farmers’ Strategies within a Protected Area of Central Italy

Silvestri¹,

Pistocchi²,

Sabbatini³

et al. 2012

Italian Journal of Agronomy

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“…In this way, Clavel et al (2011) and Kempen et al (2011) stated that the obtained outcomes allow characterization of the distinguished groups of entries exhibiting similar farming systems and determination of the spatial locations of the groups. This information is particularly important because it allows one to evaluate the spatial distribution of farms with particular type of system.…”

Section: Techniques Of Typology Classification Analysismentioning

confidence: 99%

“…Data can be more explicit when the study is referred to one particular system; that occurs for instance in a study of typology of cereal-sheep farming systems conducted by Caballero (2001) in Castile-La Mancha, wherein the average results are expressed for the entire region and according to each province and the evolution of farming system characteristics between 1989 and 1997 can be observed. Kempen et al (2011) 2011). Additionally, geographical information systems (GIS) can deliver geographic, natural and ecological data that are appropriate for the typology of landscape complexity and farming systems at a spatial area unit level (Bertaglia et al, 2007;Jellema et al, 2009).…”

Section: Size and Characteristic Of Farm Samplesmentioning

confidence: 99%

“…Carmona et al (2010) constructed a spatial typology of farming systems and assessed their influence on the extent and spatial distribution of deforestation, forest re-growth, and agriculture expansion in southern Chile between 1999 and 2007. Kempen et al (2011) presented an approach to spatially allocate farm information to a specific environmental context which makes possible to aggregate farm types both to natural and to lower scale administrative regions. These authors used multiple sources of information and obtained three allocations of farm types: according to farm size, according to farm intensity and according to farm specialization.…”

Section: Techniques Of Typology Classification Analysismentioning

confidence: 99%

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An overview of farming system typology methodologies and its use in the study of pasture-based farming system: a review

Mądry

Guerrero²,

Roszkowska-Mądra

et al. 2013

Span. j. agric. res.

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The main objective of the paper is to do a critic study of the use of typology methodologies within pasture-based farming systems (PBFS), especially those situated in less favoured areas, showing in each case the more relevant variables or indicators determining the farming system classification. Another objective is to do an overview of the most used farming system typology methodologies in general. First some considerations about the concept of farming system and approaches to its study have been done. Next, the farming system typology methodologies have been showed in general to different farming systems, but addressed preferably to PBFS. The different tools integrated in these methodologies have been considered: sampling methods, sources of data, variables or indicators obtained from available data and techniques of analysis (statistical or not). Methods for farming system classification have been presented (expert methods, analytical methods or a combination of both types). Among the statistical methods, the multivariate analysis has been overall treated, including the principal component analysis and the cluster analysis. Finally, the use of farming system typology methodologies on different pasture-based farming systems has been presented. The most important aspects considered are following: the main objective of the typology, the main animal species, the employed methods of classification and the main variables involved in this classification.

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“…However, few attempts have been made to develop useful classifications and/or typologies focussing on environmental impacts of agricultural innovations. This requires the linkage of information on farming systems and information on the biophysical endowment (Kempen et al 2010).…”

Section: Baseline Conditions Of European Agro-ecosystems (Tc2)mentioning

confidence: 99%

A framework for a European network for a systematic environmental impact assessment of genetically modified organisms (GMO)

Graef¹,

Römbke²,

Binimelis³

et al. 2012

Self Cite

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A peer-reviewed open-access journalFrieder Graef et al. / BioRisk 7: 73-97 (2012) AbstractThe assessment of the impacts of growing genetically modified (GM) crops remains a major political and scientific challenge in Europe. Concerns have been raised by the evidence of adverse and unexpected environmental effects and differing opinions on the outcomes of environmental risk assessments (ERA). The current regulatory system is hampered by insufficiently developed methods for GM crop safety testing and introduction studies. Improvement to the regulatory system needs to address the lack of well designed GM crop monitoring frameworks, professional and financial conflicts of interest within the ERA research and testing community, weaknesses in consideration of stakeholder interests and specific regional conditions, and the lack of comprehensive assessments that address the environmental and socio-economic risk assessment interface. To address these challenges, we propose a European Network for systematic GMO impact assessment (ENSyGMO) with the aim directly to enhance ERA and post-market environmental monitoring (PMEM) of GM crops, to harmonize and ultimately secure the long-term socio-political impact of the ERA process and the PMEM in the EU. These goals would be achieved with a multi-dimensional and multi-sector approach to GM crop impact assessment, targeting the variability and complexity of the EU agro-environment and the relationship with relevant socio-economic factors. Specifically, we propose to develop and apply methodologies for both indicator and field site selection for GM crop ERA and PMEM, embedded in an EU-wide typology of agro-environments. These methodologies should be applied in a pan-European field testing network using GM crops. The design of the field experiments and the sampling methodology at these field sites should follow specific hypotheses on GM crop effects and use state-of-the art sampling, statistics and modelling approaches. To address public concerns and create confidence in the ENSyGMO results, actors with relevant specialist knowledge from various sectors should be involved.

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Spatial allocation of farming systems and farming indicators in Europe

Cited by 26 publications

References 8 publications

Diachronic Analysis of Farmers’ Strategies within a Protected Area of Central Italy

Diachronic Analysis of Farmers’ Strategies within a Protected Area of Central Italy

An overview of farming system typology methodologies and its use in the study of pasture-based farming system: a review

A framework for a European network for a systematic environmental impact assessment of genetically modified organisms (GMO)

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