TY - JOUR
T1 - Characterization factors for land use impacts on biodiversity in Life Cycle Assessment based on direct measures of plant species richness in European farmland in the 'Temperate Broadleaf and Mixed Forest' biome
AU - Trydeman Knudsen, Marie
AU - Hermansen, John E.
AU - Cederberg, Christel
AU - Herzog, Felix
AU - Vale, James
AU - Jeanneret, Philippe
AU - Sarthou, Jean-Pierre
AU - Friedel, Jürgen K.
AU - Balázs, Katalin
AU - Fjellstad, Wendy
AU - Kainz, Max
AU - Wolfrum, Sebastian
AU - Dennis, Peter
N1 - This is the author accepted manuscript. The final version is available from Elsevier via http://dx.doi.org/10.1016/j.scitotenv.2016.11.172
PY - 2017/2/15
Y1 - 2017/2/15
N2 - Life Cycle Assessment (LCA) is a widely used tool to assess environmental sustainability of products. The LCA should optimally cover the most important environmental impact categories such as climate change, eutrophication and biodiversity. However, impacts on biodiversity are seldom included in LCAs due to methodological limitations and lack of appropriate characterization factors. When assessing organic agricultural products the omission of biodiversity in LCA is problematic, because organic systems are characterized by higher species richness at field level compared to the conventional systems. Thus, there is a need for characterization factors to estimate land use impacts on biodiversity in life cycle assessment that are able to distinguish between organic and conventional agricultural land use that can be used to supplement and validate the few currently suggested characterization factors. Based on a unique dataset derived from field recording of plant species diversity in farmland across six European countries, the present study provides new midpoint occupation Characterization Factors (CF) expressing the Potentially Disappeared Fraction (PDF) to estimate land use impacts on biodiversity in the ‘Temperate Broadleaf and Mixed Forest’ biome in Europe. The method is based on calculation of plant species on randomly selected test sites in the biome and enables the calculation of characterization factors that are sensitive to particular types of management. While species richness differs between countries, the calculated CFs are able to distinguish between different land use types (pastures (monocotyledons or mixed), arable land and hedges) and management practices (organic or conventional production systems) across countries. The new occupation CFs can be used to supplement or validate the few current CF's and can be applied in LCAs of agricultural products to assess land use impacts on species richness in the ‘Temperate Broadleaf and Mixed Forest’ biome.
AB - Life Cycle Assessment (LCA) is a widely used tool to assess environmental sustainability of products. The LCA should optimally cover the most important environmental impact categories such as climate change, eutrophication and biodiversity. However, impacts on biodiversity are seldom included in LCAs due to methodological limitations and lack of appropriate characterization factors. When assessing organic agricultural products the omission of biodiversity in LCA is problematic, because organic systems are characterized by higher species richness at field level compared to the conventional systems. Thus, there is a need for characterization factors to estimate land use impacts on biodiversity in life cycle assessment that are able to distinguish between organic and conventional agricultural land use that can be used to supplement and validate the few currently suggested characterization factors. Based on a unique dataset derived from field recording of plant species diversity in farmland across six European countries, the present study provides new midpoint occupation Characterization Factors (CF) expressing the Potentially Disappeared Fraction (PDF) to estimate land use impacts on biodiversity in the ‘Temperate Broadleaf and Mixed Forest’ biome in Europe. The method is based on calculation of plant species on randomly selected test sites in the biome and enables the calculation of characterization factors that are sensitive to particular types of management. While species richness differs between countries, the calculated CFs are able to distinguish between different land use types (pastures (monocotyledons or mixed), arable land and hedges) and management practices (organic or conventional production systems) across countries. The new occupation CFs can be used to supplement or validate the few current CF's and can be applied in LCAs of agricultural products to assess land use impacts on species richness in the ‘Temperate Broadleaf and Mixed Forest’ biome.
KW - LCA
KW - organic agriculture
KW - conventional farming
KW - biodiversity damage potential
KW - potentially disappeared fraction of species
KW - general habitat categories
UR - http://hdl.handle.net/2160/44840
U2 - 10.1016/j.scitotenv.2016.11.172
DO - 10.1016/j.scitotenv.2016.11.172
M3 - Article
C2 - 27979626
SN - 0048-9697
VL - 580
SP - 358
EP - 366
JO - Science of the Total Environment
JF - Science of the Total Environment
ER -