Biodiversity impacts from water consumption on a global scale for use in life cycle assessment
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Agriculture is a major water user worldwide, potentially depriving many ecosystems of water. Comprehensive global impact assessment methodologies are therefore required to assess impacts from water consumption on biodiversity. Since scarcity of water, as well as species richness, varies greatly between different world regions, a spatially differentiated approach is needed. Therefore, our aim is to enhance a previously published methodology in terms of spatial and species coverage.
We developed characterization factors for lifecycle impact assessment (LCIA) targeting biodiversity loss of various animal taxa (i.e., birds, reptiles, mammals, and amphibians) in wetlands. Data was collected for more than 22,000 wetlands worldwide, distinguishing between surface water- and groundwater-fed wetlands. Additionally, we account for a loss of vascular plant species in terrestrial ecosystems, based on precipitation. The characterization factors are expressed as global fractions of potential species extinctions (PDF) per cubic meter of water consumed annually and are developed with a spatial resolution of 0.05 arc degrees. Based on the geographic range of species, as well as their current threat level, as indicated by the International Union for Conservation of Nature (IUCN), we developed a vulnerability indicator that is included in the characterization factor.
Results and discussion
Characterization factors have maximal values in the order of magnitude of 10−11 PDF·year/m3 for animal taxa combined and 10−12 PDF·year/m3 for vascular plants. The application of the developed factors for global cultivation of wheat, maize, cotton, and rice highlights that the amount of water consumption alone is not sufficient to indicate the places of largest impacts but that species richness and vulnerability of species are indeed important factors to consider. Largest impacts are calculated for vascular plants in Madagascar, for maize, and for animal taxa; in Australia and the USA for surface water consumption (cotton); and in Algeria and Tunisia for groundwater consumption (cotton).
We developed a spatially differentiated approach to account for impacts from water consumption on a global level. We demonstrated its functionality with an application to a global case study of four different crops.
KeywordsAnimal taxa Biodiversity Life cycle impact assessment Spatially differentiated Vascular plants Water consumption Wetlands
- BirdLife International and Nature Serve (2012) Bird species distribution maps of the world. BirdLife International, Cambridge, UK and NatureServe, Arlington, USAGoogle Scholar
- ecoinvent. (2016) The ecoinvent database. http://www.ecoinvent.org/database/database.html. Accessed 01 Sept 2016Google Scholar
- ESRI (2013) ArcGIS Desktop10.2. http://www.esri.com/software/arcgis. Accessed 14 Aug 2014Google Scholar
- ESRI (2014) "World Countries. Esri Data& Maps. http://www.arcgis.com/home/item.html?id=3864c63872d84aec91933618e3815dd2. Accessed 14 Jan 2014
- FAOSTAT (2014) Commodities by region. http://faostat3.fao.org/faostat-gateway/go/to/browse/rankings/commodities_by_regions/E. Accessed 08 April 2014Google Scholar
- Finlayson C, Davisdson N (1999) Global review of wetland resources and priorities for wetland inventories: summary report, wetlands international, the Netherlands and environmental research Institute of the Supervising. Scientist, AustraliaGoogle Scholar
- Goedkoop M, Heijungs R, Huijbregts MAJ, De Schryver A, Struijs J, van Zelm R (2009) ReCiPe 2008: A life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level; First edition Report I. Characterisation. Den Haag, The Netherlands: VROM.Google Scholar
- ISO (2006) Environmental management—life cycle assessment—principles and framework. International standard ISO 14040. International Organisation for Standardisation, GenevaGoogle Scholar
- IUCN (International Union for Conservation of Nature and Natural Resources) (2010) New study shows over one fifth of the world’s plants are under threat of extinction http://www.iucnredlist.org/news/srli-plants-press-release. Accessed 15 July 2014
- IUCN (International Union for Conservation of Nature and Natural Resources) (2013) Spatial data download from http://www.iucnredlist.org/technical-documents/spatial-data. Accessed 03 Oct 2013
- IUCN (International Union for Conservation of Nature and Natural Resources) (2014) IUCN red list of threatened species. Version 2013.2. http://www.iucnredlist.org. Accessed 09 April 2014
- Koellner T, Scholz WR (2008) Assessment of land use impacts on the natural environment. Part 2: generic characterization factors for local species diversity in central europe. Int J Life Cycle Assess 13:32–48Google Scholar
- Lambert A (2003) Economic valuation of wetlands: an important component of wetland management strategies at the river basin scale. http://www.conservationfinance.org/guide/guide/images/18_lambe.pdf. Accessed 24 May 2012
- MathWorks (2013) Matlab Version 2013b. www.mathworks.com. Accessed 01 Oct 2013Google Scholar
- Millennium Ecosystem Assessment (2005) Ecosystems and human well-being: wetlands and water. Synthesis. http://www.millenniumassessment.org/documents/document.358.aspx.pdf. Accessed 14 Oct 2011
- Pfister S, Curran M, Koehler A, Hellweg S (2010) Trade-offs between land and water use: regionalized impacts of energy crops. 7th International Conference on LCA in the Agri-Food Sector, Bari, Italy. https://www1.ethz.ch/ifu/ESD/downloads/EI99plus/LCAfood2010_pfister.pdf. Accessed 08 Sept 2014Google Scholar
- Ramsar Convention (1994) Convention on wetlands of international importance especially as waterfowl habitat. The Convention on Wetlands text, as amended in 1982 and 1987. Paris, Director, Office of International Standards and Legal Affairs; United Nations Educational, Scientific and Cultural Organization (UNESCO). http://portal.unesco.org/en/ev.php-URL_ID=15398amp;URL_DO=DO_TOPIC&URL_SECTION=201.html. Accessed 08 Sept 2014Google Scholar
- Ridoutt B, Poulton P (2009) SAI platform Australia water footprint pilot project: wheat, barley and oats grown in the Australian state of new South Wales. CSIRO, AustraliaGoogle Scholar
- Russi D, tenBrink P, Farmer A, Badura T, Coates D, Förster J, Kumar R, Davidson N (2013) The economics of ecosystems and biodiversity for water and wetlands. IEEP, London and Brussels; Ramsar Secretariat, GlandGoogle Scholar
- Verones F, Hellweg S, Azevedo LB, Chaudhary A, Cosme N, Fantke P, Goedkoop M, Hauschild MZ, Laurent A, Mutel CL, Pfister S, Ponsioen T, Steinmann Z, Van Zelm R, Verones F, Vieira M, Huijbregts MAJ (2016) LC-IMPACT version 0.5—a spatially differentiated life cycle impact assessment approach. http://www.lc-impact.eu/. Accessed 19 July 2016
- World Water Assessment Programme (2009) The United Nations World Water Development Report 3: water in a changing world. Paris: UNESCO and London:EarthscanGoogle Scholar