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LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

LCA Food 2012 in Saint Malo, France! - Manifestations et colloques ...

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PARALLEL SESSION 4C: CROP PRODUCTION SYSTEMS 8 th Int. Conference on <strong>LCA</strong> <strong>in</strong> the<br />

Agri-<strong>Food</strong> Sector, 1-4 Oct <strong>2012</strong><br />

<strong>in</strong>g results. In general, convert<strong>in</strong>g resource consumption or environmental impacts to units of land use allows<br />

evaluation of the impacts of cultivat<strong>in</strong>g a certa<strong>in</strong> area. This param<strong>et</strong>er is also called the impact <strong>in</strong>tensity of a<br />

farm (Mouron <strong>et</strong> al., 2006). The land-based functional unit <strong>in</strong> fruit production is complementary to the massbased<br />

functional unit because they give different results and both should be used. Indeed, when consider<strong>in</strong>g<br />

just impacts per unit area, low <strong>in</strong>put-output systems will have b<strong>et</strong>ter rank<strong>in</strong>g for decreased impacts at regional<br />

level, but may create a need for additional land use elsewhere, giv<strong>in</strong>g rise to additional impacts (van<br />

der Werf <strong>et</strong> al., 2007). Furthermore, as most of fruit are rapidly perishable products, quantification of product<br />

loss <strong>in</strong> the supply cha<strong>in</strong> would be needed <strong>in</strong> order to evaluate the environmental impact of the product actually<br />

consumed (Schau and F<strong>et</strong>, 2008).<br />

Data orig<strong>in</strong>. Most studies (11 papers) are based on data collected from commercial orchards, either directly<br />

<strong>in</strong> field surveys or with questionnaires or <strong>in</strong>terviews with farmers. Som<strong>et</strong>ime these approaches are<br />

mixed and the data collection m<strong>et</strong>hod used for the different data <strong>in</strong> the study is not always clearly described.<br />

Four studies <strong>in</strong>vestigate commercial orchards and then compare the field datas<strong>et</strong> obta<strong>in</strong>ed with reference<br />

values. This approach allows conclusions about specific orchards to be drawn, while the validation allows<br />

identification of unusual agricultural practices only of <strong>in</strong>terest for the specific farm (e.g. Milà i Canals <strong>et</strong> al.,<br />

2006). The other m<strong>et</strong>hod used to obta<strong>in</strong> statistically robust datas<strong>et</strong>s is to consider a larger number of commercial<br />

orchards and look at average values for these farms. Seven studies used literature and available databases<br />

<strong>in</strong> order to obta<strong>in</strong> data <strong>in</strong>stead of survey<strong>in</strong>g commercial orchards. Appl<strong>in</strong>g this m<strong>et</strong>hodology it possible<br />

to achieve more generic results, but it could be impossible to consider site specific differences among orchards.<br />

Environmental impact assessment m<strong>et</strong>hod. Us<strong>in</strong>g different environmental impact assessment m<strong>et</strong>hods<br />

may lead to different conclusions. Across reviewed papers, the typical impact categories are the categories<br />

which quantifies environmental impacts on ecosystems more than the ones on resource consumption or human<br />

toxicity; with particular attention to the potentials of global warm<strong>in</strong>g, eutrophication, and acidification.<br />

The first one is ma<strong>in</strong>ly related to the combustion of fuels, thus it is considered a key <strong>in</strong>dicator <strong>in</strong> studies <strong>in</strong>volv<strong>in</strong>g<br />

comparison of systems with different transport distances (e.g. Blanke and Burdick, 2005). Eutrophication<br />

and acidification are generally more related to the use of fertilisers and pesticides, thus they depend on<br />

the agro-technique used and climatic conditions.<br />

When def<strong>in</strong><strong>in</strong>g the impact categories for fruit production, it is very important to consider the typical environmental<br />

problems that may arise <strong>in</strong> orchards (Milà i Canals and Polo, 2003). Fruit is usually produced <strong>in</strong><br />

sunny regions because sun <strong>in</strong>creases yield and improves fruit quality. However, these regions are also prone<br />

to water scarcity and result<strong>in</strong>g losses of nutrients and pesticides to the surround<strong>in</strong>g environment. These effects<br />

can <strong>in</strong>fluence all impact categories, but particularly nutrient enrichment potential and acidification potential<br />

(Coltro and Mourad, 2009), as well as human toxicity.<br />

4. Conclusions<br />

Despite a general standardisation of phases <strong>in</strong> orchard management, the high variability <strong>in</strong> agrotechniques<br />

and fruit products leads to different way of apply<strong>in</strong>g <strong>LCA</strong> <strong>in</strong> such systems. Nevertheless a tentative<br />

to standardise research protocols when apply<strong>in</strong>g environmental assessment m<strong>et</strong>hod <strong>in</strong> fruit production is<br />

needed. In particular about the s<strong>et</strong> of <strong>in</strong>dicators and the orchard model that should be considered. Otherwise<br />

result may be impossible to compare and results risk rema<strong>in</strong><strong>in</strong>g isolated to the case study. Be<strong>in</strong>g able to<br />

compare the results from different studies would be important also <strong>in</strong> order to identify susta<strong>in</strong>ability threshold,<br />

as suggested by several authors (e.g. Van der Werf and P<strong>et</strong>it, 2002).<br />

Suggestions for standardisation of assessment m<strong>et</strong>hods application <strong>in</strong> fruit production may consider the<br />

<strong>in</strong>clusion of the whole lif<strong>et</strong>ime of the orchard <strong>in</strong> the system boundaries. As a consequence also impacts from<br />

orchard <strong>in</strong>stallation, destruction and the nursery phase should be assessed. As orchards are not a s<strong>in</strong>gle year<br />

production system (as can be open field crops), the application of an environmental <strong>in</strong>dicator just to the full<br />

production year will probably underestimat<strong>in</strong>g the real ecological impact, <strong>in</strong> a variable percentage (<strong>in</strong> our<br />

studies about 30% depend<strong>in</strong>g on fruit considered and assessment m<strong>et</strong>hod) (Fig.1).<br />

As <strong>in</strong> other reviews about similar topics (P<strong>et</strong>ti <strong>et</strong> al., 2010) one of the most frequent problems was the difficulty<br />

<strong>in</strong> f<strong>in</strong>d<strong>in</strong>g specific data and characterisation factors for pesticides and fertilisers. The fate and the effects<br />

of chemicals <strong>in</strong> the environment are very different depend<strong>in</strong>g on the pedo-climatic condition of the<br />

orchard. Therefore it is necessary implement the analysis with a predictive mathematical m<strong>et</strong>hod which is<br />

able to model pesticide dispersion, such as PestLCI developed by Birkveda and Hauschild (2006). Nevertheless,<br />

the use of pesticide dispersion models requires specific comp<strong>et</strong>ences and several pedo-climatic data,<br />

such as soil properties, average ra<strong>in</strong> quantities and w<strong>in</strong>d <strong>in</strong>tensities of the <strong>in</strong>vestigation site. The alternative<br />

m<strong>et</strong>hod is to considered the environmental impact of the entire amount of pesticides as emitted to the soil.<br />

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