Job Opening: post-doctoral researcher (2009-2010) for the program GESSOL 3 (financed by MEEDDAT and ADEME)
Position: researcher ("ingénieur de recherche") under contract for 24 months
Desired start date: October or November 2009
Project: ACV-SOL (see description at end)
Leader: Dr. Michael Corson
michael.corson@rennes.inra.fr , Tel.: +33 (0)2 23 48 57 09
Background and description of duties:
Integrating impacts of agricultural activities on soil quality into Life Cycle Assessment
Due to its position, soil plays a central role in preserving environmental quality and human health. The environmental functions of soil (e.g., water storage and filtration, nitrogen and phosphorus recycling, greenhouse-gas reduction) give it role as important as those of other environmental components. The object of this project is to develop a conceptual and operational approach for including soil quality in evaluations of the environmental impacts of agricultural activities using the Life Cycle Assessment (LCA) method. The methodological framework of LCA places certain constraints on the identification and evaluation of relevant indicators, which this project aims to analyse by using case studies of contrasting systems and relying upon the expert knowledge of soil scientists and specialists in environmental-evaluation methods.
The post-doctoral researcher's assignment will focus on 3 research objectives:
1. Develop a decision-aid tool of soil quality characteristics that is compatible with the LCA method. Based on an exhaustive bibliographical study, the researcher will determine a "minimum data set" of soil-quality characteristics. Each characteristic will be selected according to criteria such as representativeness of environmental functions, measurability, and sensitivity to agricultural practices.
2. Define estimation algorithms of the selected soil-quality characteristics. For each aspect of soil quality, this step includes the definition of equations that link farm practices to changes in the given characteristic. These algorithms must be applicable to diverse pedoclimatic contexts and able to be used with relatively cursory descriptions of agricultural practices.
3. Aggregate soil-quality characteristics into one or more global indicator(s). Different methods of multicriteria evaluation can be used for this aggregation. During this step, the researcher will reflect on these methods and their adaptation in an LCA context, test and compare the methods, and finally apply those that correspond best to the objectives.
Salary: approximately €2220 gross per month
Location: INRA, Soil Agro- and hydroSystem Mixed Research Unit, Rennes, France
Close collaboration with Agriculture and Agri-Food Canada of Quebec, Canada
Desired
Qualifications:
· Doctorate in soil science or life sciences (agronomy, ecology)
· Solid knowledge of soil and environmental sciences
· Good understanding of English and computer tools
· Close attention to detail during data analysis and a critical eye toward presumed results
· Scientific publications in the field
· Interest in and experience with working in teams
To apply, please send a CV (with a list of publications) and cover letter to Michael Corson by e-mail ( michael.corson@rennes.inra.fr ) or surface mail: UMR SAS, 65 rue de Saint Brieuc - CS 84215, 35042 Rennes Cedex, FRANCE.
Application deadline: 1 September 2009
Summary of the ACV-SOL project
Evaluation of the environmental impacts of agricultural activities with Life Cycle Assessment (LCA) currently does not take into account the effects of these activities on soil quality. The object of this project is to develop a conceptual approach and an operational framework that will do so. We propose developing an indicator that can evaluate the impact of agricultural activities on soil quality and remain compatible with LCA (i.e., accounting for all components of a production system, using available references, and integrating a limited but robust number of relevant soil functions). First, the approach will include a detailed study of existing approaches, from which we will establish a "minimum data set" of properties or functions judged pertinent for describing soil quality within an LCA approach. Then, we will develop a decision-tree from which a selection of soil properties can be established. This framework will take into account relevant soil functions according to the pedoclimatic and agricultural context, as well as the input data available for developing the LCA. We then will determine functions describing impacts of agricultural ac tivities on the selected soil-quality characteristics. This step will be performed iteratively with case studies representing contrasting agricultural production scenarios that presumably have a significant impact on soil quality. Finally, we will propose an indicator (either a single value or one composed of a few sub-indicators) of soil-quality impacts.