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Validation of I‐Phy palm, an Indicator of Pesticide Pollution Risk: Method and Preliminary Results

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5th International Conference on Oil Palm and Environment (ICOPE), 16‐18th Mar 2016, Bali, Indonesia   

 

Validation of I‐Phy

 palm

, an Indicator of Pesticide Pollution Risk:  

Method and Preliminary Results 

 

Raphaël Marichal1,2, Ribka Sionita2, Julie Wholfahrt3, Cécile Bessou1, Jean‐Pierre Caliman2      1 CIRAD, UPR Systèmes de Pérennes, F‐34398, Montpellier, France  2 SMARTRI, 28112 Pekanbaru Riau, Indonesia  3 INRA, SAD‐ASTER, F‐88500 Mirecourt, France    ABSTRACT 

One agri-environmental indicator of the INDIGO® assessment method,I-Phy, assesses the environmental impact of pesticide use (Bockstaller et al., 2008). Wohlfahrt et al. (2009) adapted

this indicator to create I-Phypalm, for the cultivation of oil palm. I-Phypalmis composed of four

components: three assess the risk of pollution of ground water (through leaching), surface water (through run-off, erosion, and drift), and the atmosphere (through drift and volatilization), and one is related to the rate of pesticide application. The overall score(range = 0-10, with ≥7 meaning “sustainable”) results from aggregating the scores of each module using fuzzy-logic mathematics. Validation of this indicator is underway and will be based on results of a dedicated trial in a mature oil palm plantation in Sumatra (Indonesia). A specific rate of glyphosate (11

gplot-1) was applied to plots (18 × 18 m) having a variety of ground conditions: three slopes (5,

15, 25%) and three systems to manage vegetative ground cover. Glyphosate concentrations in run-off water were measured, and glyphosate losses in run-off water were calculated.

Glyphosate losses ranged from 1.0-36.1 g.ha-1 (mean = 10.7 g.ha-1). The export coefficient of

glyphosate varied from 0.3-10.1% (mean = 3.1%). A modified version of the indicator was created by aggregating modified versions of the surface-water and rate components using the

same fuzzy-logic rules. A validation matrix was created by comparing the scores of I-Phypalmto

measured pesticide losses. Work is in progress to validate the indicator in a wider range of situations.

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