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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 />

fertiliser production for FE and MD. It also evidenced a high contribution of energy use for irrigation, similarly<br />

to cluster 4. P17 and P40 (the paragons of clusters 3 and 4, respectively) showed similar impacts for<br />

most categories, except for TA, FE, ME, TET and FET for which the impacts of P40 were significantly<br />

lower. The greater impacts of P17 was due to pesticide applications (TET and FET), N,P,K-fertiliser manufactur<strong>in</strong>g<br />

and nitrate emissions (TA, FE and ME).<br />

4. Discussion<br />

4. 1. Characteristics of the types of cropp<strong>in</strong>g systems with regard to field selection<br />

The diversity of horticultural cropp<strong>in</strong>g systems <strong>in</strong> the Tropics <strong>in</strong> general and <strong>in</strong> our context of study <strong>in</strong><br />

particular led us to <strong>in</strong>fer that the associated environmental impacts would vary greatly b<strong>et</strong>ween <strong>in</strong>dividual<br />

fields. To assess the environmental impacts of out-of-season tomato cropp<strong>in</strong>g systems <strong>in</strong> Ben<strong>in</strong>, we selected<br />

a large sample of 12 fields over 50 and assumed it was large enough to represent the whole population. This<br />

selection was guided by local expert knowledge and <strong>in</strong>cluded geographical location (urban/peri-urban) and<br />

irrigation system (manual/mechanised). Our pr<strong>in</strong>cipal component analysis showed that <strong>in</strong>dividual fields were<br />

all different. However, by apply<strong>in</strong>g the AHC approach, we could group the population <strong>in</strong>to four clusters def<strong>in</strong>ed<br />

each by one representative fields (the paragon) show<strong>in</strong>g a typical profile of the whole cluster <strong>in</strong> terms<br />

of environmental impacts.<br />

Look<strong>in</strong>g <strong>in</strong> more d<strong>et</strong>ail, the first driver was energy use for irrigation, as reflected by dimension 1 of the PCA<br />

(mak<strong>in</strong>g up 50% of the variability). Energy use for irrigation was also responsible for the first dimension,<br />

group<strong>in</strong>g C1 and C2 apart from C3 and C4. Soil type contributed to this effect, as the impact of energy use<br />

for irrigation was higher on sandy soils. These f<strong>in</strong>d<strong>in</strong>gs support the relevance of our <strong>in</strong>itial typology based on<br />

irrigation systems. It also emphasized the need to <strong>in</strong>clude soil type as well as an important criterion to identify<br />

representative cropp<strong>in</strong>g systems. Geographical location was correlated to the variability expla<strong>in</strong>ed by<br />

dimension 2. Farmers around Cotonou (urban area) have more <strong>in</strong>tensive practices <strong>in</strong> terms of fertilisation and<br />

crop protection than the average population. These f<strong>in</strong>d<strong>in</strong>gs suggest that practices are more <strong>in</strong>tensive <strong>in</strong> urban<br />

areas, due to scarcity of agricultural land. When assess<strong>in</strong>g the environmental impacts of out-of-season<br />

tomato cropp<strong>in</strong>g systems <strong>in</strong> Ben<strong>in</strong>, both urban and peri-urban systems need to be addressed as their environmental<br />

impacts are significantly different.<br />

In addition to the expected sources of variability identified a priori, the AHC evidenced other cropp<strong>in</strong>g systems<br />

specificities. Based on the analysis of clusters presented <strong>in</strong> table 3, we could dissociate extensive (C1<br />

and C3) from <strong>in</strong>tensive (C2 and C4) cropp<strong>in</strong>g system types and identify the source of <strong>in</strong>tensification: irrigation<br />

system (C4) or pesticides and fertilisers (C3). We also demonstrated a possible <strong>in</strong>consistency b<strong>et</strong>ween<br />

yields and practices <strong>in</strong>tensity, highlight<strong>in</strong>g the actual risk due to pest pressure and the question of rate of<br />

r<strong>et</strong>urn. This observation is quite specific to horticultural crops grown <strong>in</strong> tropical peri-urban areas and clearly<br />

questions the choice of the most relevant functional unit for such systems. F<strong>in</strong>ally, we also highlighted <strong>in</strong>consistencies<br />

result<strong>in</strong>g <strong>in</strong> m<strong>et</strong>hodological weaknesses discussed <strong>in</strong> the follow<strong>in</strong>g section.<br />

Table 3. Environmental and agronomical analysis of clusters and subsequent outcomes for a b<strong>et</strong>ter understand<strong>in</strong>g<br />

of cropp<strong>in</strong>g systems<br />

Environmental impact variability<br />

C1 Lower than P38<br />

C3<br />

C2<br />

↑ impact of irrigation system<br />

and NPK production<br />

↑ impact of nitrogen emissions<br />

↑ impact of <strong>in</strong>secticides and<br />

nitrogen emissions<br />

C4 ↑↑ impact of irrigation<br />

Agronomical performances<br />

(*not statistically significant) Ma<strong>in</strong> outcomes<br />

- Short crop length<br />

- Yield losses due to biotic &<br />

abiotic causes*<br />

- High m<strong>in</strong>eral fertiliser rates<br />

- Yield losses due to pest<br />

pressure*<br />

- High <strong>in</strong>secticide &fertiliser<br />

application number<br />

- Early plant<strong>in</strong>g dates<br />

- High use of pump<br />

- Large water supplied<br />

2 strategies<br />

- Low <strong>in</strong>vestment strategy, rate of r<strong>et</strong>urn?<br />

- Early crop failure<br />

1 conclusion<br />

Intensive practices ≠ high yields<br />

Investments = risk<br />

2 conclusions<br />

- Intensive practices ≠ technical irrigation <strong>in</strong>frastructures<br />

- Early plant<strong>in</strong>g = large use of <strong>in</strong>secticides<br />

2 questions<br />

- Valorisation of <strong>in</strong>vestments <strong>in</strong> irrigation system?<br />

- Effect of water supply on impact of nitrogen emissions?<br />

4.2. Implications of <strong>LCA</strong> impacts variability <strong>in</strong> the ref<strong>in</strong><strong>in</strong>g of m<strong>et</strong>hods and data collection<br />

417

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