Coupling GIS and LCA for biodiversity assessments of land use
- Roland GeyerAffiliated withDonald Bren School of Environmental Science and Management, University of California Email author
- , David M. StomsAffiliated withDonald Bren School of Environmental Science and Management, University of California
- , Jan P. LindnerAffiliated withAbteilung Ganzheitliche Bilanzierung, Lehrstuhl für Bauphysik, Universität Stuttgart
- , Frank W. DavisAffiliated withDonald Bren School of Environmental Science and Management, University of California
- , Bastian WittstockAffiliated withAbteilung Ganzheitliche Bilanzierung, Lehrstuhl für Bauphysik, Universität Stuttgart
Geospatial details about land use are necessary to assess its potential impacts on biodiversity. Geographic information systems (GIS) are adept at modeling land use in a spatially explicit manner, while life cycle assessment (LCA) does not conventionally utilize geospatial information. This study presents a proof-of-concept approach for coupling GIS and LCA for biodiversity assessments of land use and applies it to a case study of ethanol production from agricultural crops in California.
Materials and methods
GIS modeling was used to generate crop production scenarios for corn and sugar beets that met a range of ethanol production targets. The selected study area was a four-county region in the southern San Joaquin Valley of California, USA. The resulting land use maps were translated into maps of habitat types. From these maps, vectors were created that contained the total areas for each habitat type in the study region. These habitat compositions are treated as elementary input flows and used to calculate different biodiversity impact indicators in a second paper (Geyer et al., submitted).
Results and discussion
Ten ethanol production scenarios were developed with GIS modeling. Current land use is added as baseline scenario. The parcels selected for corn and sugar beet production were generally in different locations. Moreover, corn and sugar beets are classified as different habitat types. Consequently, the scenarios differed in both the habitat types converted and in the habitat types expanded. Importantly, land use increased nonlinearly with increasing ethanol production targets. The GIS modeling for this study used spatial data that are commonly available in most developed countries and only required functions that are provided in virtually any commercial or open-source GIS software package.
This study has demonstrated that GIS-based inventory modeling of land use allows important refinements in LCA theory and practice. Using GIS, land use can be modeled as a geospatial and nonlinear function of output. For each spatially explicit process, land use can be expressed within the conventional structure of LCA methodology as a set of elementary input flows of habitat types.
KeywordsBiodiversity Bioethanol Geographic information systems (GIS) Habitats Land use Spatially explicit inventory modeling
- Coupling GIS and LCA for biodiversity assessments of land use
- Open Access
- Available under Open Access This content is freely available online to anyone, anywhere at any time.
The International Journal of Life Cycle Assessment
Volume 15, Issue 5 , pp 454-467
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- Geographic information systems (GIS)
- Land use
- Spatially explicit inventory modeling
- Industry Sectors
- Author Affiliations
- 1. Donald Bren School of Environmental Science and Management, University of California, Santa Barbara, CA, 93110-5131, USA
- 2. Abteilung Ganzheitliche Bilanzierung, Lehrstuhl für Bauphysik, Universität Stuttgart, 70771, Leinfelden-Echterdingen, Germany