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Abiotic resource depletion in LCA—background and update of the anthropogenic stock extended abiotic depletion potential (AADP) model

  • LIFE CYCLE SUSTAINABILITY ASSESSMENT
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Abstract

Purpose

The depletion of abiotic resources needs to be discussed in the light of available geologic stocks. For the evaluation of long-term resource availability under consideration of the resources’ functional relevance, the abiotic resource stock that is ultimately available for human purposes needs to be identified. This paper discusses the determination of geologic resources stocks and outlines an approach for the estimation of the resource stocks ultimately available for human use in the long-term. Based on these numbers, existing characterization factors for the assessment of resource depletion by means of the anthropogenic stock extended abiotic depletion potential (AADP) model can be updated.

Methods

For the assessment of long-term resource availability, the share of abiotic resources ultimately available for human extraction needs to be inferred from the quantity of the elements available in the earth’s crust. Based on existing data on crustal concentrations and assumptions regarding the maximal extractable amount of resource, three different approaches for the determination of ultimately extractable reserves are proposed. The different resource numbers are compared, and their effects on the resulting characterization factors derived from the abiotic depletion potential (ADP) and the AADP models are analyzed.

Results and discussion

A best estimate for the determination of ultimately extractable reserves is proposed. Based on this new resource number, AADP characterization factors for 35 materials are calculated. The use of ultimately extractable reserves leads to an improved applicability of the AADP model and increases the overall significance of the results.

Conclusions

Resource security is a premise for sustainable development. The use of resources needs to be evaluated in the context of their decreasing availability for future generations. Thus, resource choices should also be based on an analysis of available resource stocks. The proposed AADP characterization factors based on ultimately extractable reserves will enable a more realistic evaluation of long-term resource availability for human purposes.

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Notes

  1. To use antimony as a reference unit was proposed by Guinée (1995). The use of this reference is standard practice in current assessment of resource depletion, and no adaptation is proposed in this paper. However, other materials could be used as a reference (e.g., for communication purposes on a company level), leading to different absolute results; however, relative comparison will stay the same.

  2. Ocean resources are not addressed further in this work.

  3. It is assumed that the amount of materials mined before is negligibly low in comparison to the large volumes extracted since 1900 (see also Schneider et al. 2011).

References

  • Alonso E, Gregory J, Field F, Kirchain R (2007) Material availability and the supply chain: risks, effects, and responses. Environ Sci Technol 41(19):6649–6656

    Article  CAS  Google Scholar 

  • Artemieva IM (2009) Continental crust. In: Lastovick J (ed) Geophysics and geochemistry—Volume 2. Encyclopedia of Life Support Systems (EOLSS), Uppsala

    Google Scholar 

  • Bentley RW (2002) Global oil & gas depletion: an overview. Energ Policy 30(3):189–205

    Article  Google Scholar 

  • Bösch ME, Hellweg S, Huijbregts M, Frischknecht R (2007) Applying cumulative exergy demand (CExD) indicators to the ecoinvent database. Int J Life Cycle Assess 12(3):181–190

    Article  Google Scholar 

  • BUWAL (1998) Bewertung in Ökobilanzen mit der Methode der ökologischen Knappheit - Ökofaktoren 1997. Schriftenreihe Umwelt, Nr. 297 - Ökobilanzen. Federal office for environment forest and landscape, Bern

    Google Scholar 

  • Christensen NI, Mooney WD (1995) Seismic velocity structure and composition of the continental crust: a global view. J Geophys Res 100(B7):9761–9788

    Article  CAS  Google Scholar 

  • CML (2013) CML - IA 4.2 edn. Institut of Environmental Sciences Leiden University, Leiden

  • Crowson PCF (2011) Mineral reserves and future minerals availability. Miner Econ 24(1):1–6

    Article  Google Scholar 

  • Dewulf J, Bösch ME, de Meester B, van der Vorst G, van Langenhove H, Hellweg S, Huijbregts MAJ (2007) Cumulative exergy extraction from the natural environment (CEENE): a comprehensive life cycle impact assessment method for resource accounting. Environ Sci Technol 41(24):8477–8483

    Article  CAS  Google Scholar 

  • Dong Y, Laurent A, Hauschild MZ (2013) Recommended assessment framework, characterisation models and factors for environmental impacts and resource use. Report prepared within the Seventh Framework Project of the European Union—Development and application of a standardized methodology for the prospective sustainability assessment of technologies

  • Drielsma J (2014) Managing abiotic resources—how mine investment and production works. 55th LCA Discussion Forum: Abiotic resources: New impact assessment approaches in view of resource efficiency and resource criticality, April 11th, Zürich

  • Erdmann L, Behrendt S (2010) Kritische Rohstoffe für Deutschland. Institut für Zukunftsstudien und Technologiebewertung (IZT), Berlin

    Google Scholar 

  • Erickson RL (1973) Crustal abundance of elements, and mineral reserves and resources. U.S. Geological Survey Professional Paper 820, pp 21–25

  • European Commission (2010) International Reference Life Cycle Data System (ILCD) Handbook—Framework and Requirements for Life Cycle Impact Assessment Models and Indicators. EUR 24709 EN. Luxembourg

  • European Commission (2011a) International Reference Life Cycle Data System (ILCD) Handbook—recommendations for life cycle impact assessment in the European context. Publications Office of the European Union, Luxemburg

    Google Scholar 

  • European Commission (2011) Roadmap to a resource efficient Europe. COM (2011) 571 final. Brussels

  • European Commission (2013) Commission Recommendation of 9 April 2013 on the use of common methods to measure and communicate the life cycle environmental performance of products and organisations

  • Finnveden G, Östlund P (1997) Exergies of natural resources in life cycle assessment and other applications. Energy 22(9):923–931

    Article  CAS  Google Scholar 

  • Finnveden G, Hauschild MZ, Ekvall T, Guinée J, Heijungs R, Hellweg S, Koehler A, Pennington D, Suh S (2009) Recent developments in life cycle assessment. J Environ Manag 91(1):1–21

    Article  Google Scholar 

  • Frischknecht R, Büsser-Knöpfel S (2013) Swiss Eco-Factors 2013 according to the Ecological Scarcity Method. Methodological fundamentals and their application in Switzerland. Environmental studies no. 1330. Federal Office for the Environment, Bern

  • Goedkoop M, Spriensma R (2000) The eco-indicator 99—a damage oriented method for life cycle impact assessment. vol 2. PRé Consultants B.V., Amersfoort

  • Goedkoop M, Heijungs R, Huijbregts M, Schryver AD, Struijs J, Zelm Rv (2008) ReCiPe 2008: a life cycle impact assessment method which comprises harmonised category indicators at the midpoint and the endpoint level. Pré Consultants, CML, RUN, RIVM, Amersfoort

  • Gordon RB, Bertram M, Gradel TE (2007) On the sustainability of metal supplies: a response to Tilton and Lagos. Resour Policy 32(1–2):24–28

    Article  Google Scholar 

  • Graedel TE, Erdmann L (2012) Will material scarcity impede routine industrial use? MRS Bull 37(4):325–331

    Article  Google Scholar 

  • Graedel TE, Barr R, Chandler C, Chase T, Choi J, Christofferson L, Friedlander E, Henly C, Jun C, Nassar NT, Schechner D, Warrne S, M-y Y, Zhu C (2012) Methodology of metal criticality determination. Environ Sci Technol 4(2):1063–1070

    Article  Google Scholar 

  • Graedel TE, Gunn G, Tercero Espinoza L (2014) Metal resources, use and criticality. In: Gunn G (ed) Critical metals handbook. Wiley, West Sussex, pp 1–19

    Google Scholar 

  • Greenwood N, Earnshaw A (1984) Appendix 4: abundance of elements in crustal rock. In: Chemistry of the elements. Pergamon Press, Oxford, UK

  • Guinée JB (1995) Development of a methodology for the environmental life-cycle assessment of products. Leiden University, Leiden

    Google Scholar 

  • Guinée J, Heijungs R (1995) A proposal for the definition of resource equivalency factors for use in product LCA. Environ Toxicol Chem 14(5):917–925

    Article  Google Scholar 

  • Guinée JB, Bruijn H, van Duin R, Gorree M, Heijungs R, Huijbregts M, Huppes G, Kleihn R, de Koning A, van Oers L, Sleeswijk A, Suh S, Udo de Haes HA (eds) (2002) Handbook on life cycle assessment—an operational guide to the ISO standards. Kluwer Academic Publishers, Dordrecht

    Google Scholar 

  • Hagelüken C, Meskers CEM (2010) Complex life cycles of precious and special metals. In: Graedel TE, Evd V (eds) Linkages of sustainability. MIT Press, Cambridge, pp 163–197

    Google Scholar 

  • Hammarstrom JM, Zientek ML, Berger BR, Bookstrom AA, Ludington S, Mihalasky MJ, Robinson GR, Zurcher L (2013) Undiscovered porphyry copper resources—a global assessment. Paper presented at The Geological Society of America Annual Meeting and Exposition, Denver, Colorado, October 27–30

  • Hauschild M, Wenzel H (1998) Environmental assessment of products, volume 2—scientific backgrounds. Chapman & Hall, New York

    Google Scholar 

  • Hauschild M, Goedkoop M, Guinée J, Heijungs R, Huijbregts M, Jolliet O, Margni M, de Schryver A, Humbert S, Laurent A, Sala S, Pant R (2013) Identifying best existing practice for characterization modelling in life cycle impact assessment. Int J Life Cycle Assess 18(3):683–697

    Article  CAS  Google Scholar 

  • Heijungs R, Guinée J, Huppes G (1997) Impact categories for natural resources and land use. CML Report 138. Leiden University, Centre of Environmental Science (CML), Leiden

  • IntierraRMG (2013) Raw materials data. Stockholm

  • Kesler SE (2007) Mineral supply and demand into the 21st century. U. S Geological Survey, Reston

    Google Scholar 

  • Kesler SE, Wilkinson BH (2008) Earth’s copper resources estimated from tectonic diffusion of porphyry copper deposits. Geologija 36:255–258

    Article  Google Scholar 

  • Kesler S, Wilkinson B (2009) Resources of gold in Phanerozoic epithermal deposits. Econ Geol 104:623–633

    Article  CAS  Google Scholar 

  • Kleijn R (2012) Materials and energy: a story of linkages. Leiden University, Leiden

    Google Scholar 

  • Klinglmair M, Sala S, Brandao M (2013) Assessing resource depletion in LCA: a review of methods and methodological issues. Int J Life Cycle Assess 19(3):580–592

    Article  Google Scholar 

  • Krausmann F, Gingrich S, Eisenmenger N, Erb K-H, Haberl H, Fischer-Kowalski M (2009) Growth in global materials use, GDP and population during the 20th century. Ecol Econ 68(10):2696–2705

    Article  Google Scholar 

  • Lindeijer EW, Müller-Wenk R, Steen B et al (2002) Impact assessment of resources and land use. In: de Haes HA U, Finnveden G, Goedkoop M (eds) Life-cycle impact assessment: striving towards best practice. Society of Environmental Toxicology and Chemistry (SETAC), Pensacola, pp 11–64

    Google Scholar 

  • McLennan SM (2001) Relationships between the trace element composition of sedimentary rocks and upper continental crust. Geochemistry, Geophysics, Geosystems 2

  • National Research Council (2008) Minerals, critical minerals, and the U.S. economy. National Academies Press, Washington

    Google Scholar 

  • PE International (2013) GaBi 6 Software-system and database for life cycle engineering. Stuttgart, Echterdingen

  • Petrie J (2007) New models of sustainability for the resources sector—a focus on minerals and metals. Trans IChemE, B Process Saf Environ Prot 85(B1):88–98

    Article  Google Scholar 

  • Prior T, Giurco D, Mudd G, Mason L, Behrisch J (2012) Resource depletion, peak minerals and the implications for sustainable resource management. Global Environ Chang 22(3):577–587

    Article  Google Scholar 

  • Radetzki M (2002) Is resource depletion a threat to human progress? Oil and other critical exhaustible materials. Paper presented at the energex’2002, Cracow

  • Rankin WJ (2011) Minerals, metals and sustainability: meeting future material needs. CSIRO Publishing, Collingwood

    Google Scholar 

  • Reuter MA, Heiskanen K, Boin U, Schaik A, Verhoef E, Yang Y, Georgalli G (2005) The metrics of material and metal ecology. Developments in mineral processing 16. Elsevier, Amsterdam

    Google Scholar 

  • Rollinson H (2005) Crustal generation in the Archean. In: Brown M, Rushmer T (eds) Evolution and differentiation of the continental crust. Cambridge University Press, Cambridge

    Google Scholar 

  • Rudnick RL, Gao S (2004) Composition of the continental crust. In: Rudnick RL (ed) The crust. Elsevier, Ltd, Oxford

    Google Scholar 

  • Rudnick RL, Gao S (2005) Composition of the continental crust. In: Rudnick RL (ed) The crust. Elsevier Ltd., Oxford, pp 1–64

    Google Scholar 

  • Schneider L (2014) A comprehensive approach to model abiotic resource provision capability in the context of sustainable development. unpublished PhD diss., Technische Universität Berlin, Berlin

  • Schneider L, Berger M, Finkbeiner M (2011) The anthropogenic stock extended abiotic depletion potential (AADP) as a new parameterisation to model the depletion of abiotic resources. Int J Life Cycle Assess 16(9):929–936

    Article  Google Scholar 

  • Schneider L, Berger M, Schüler-Hainsch E, Knöfel S, Ruhland K, Mosig J, Bach V, Finkbeiner M (2013) The economic resource scarcity potential (ESP) for evaluating resource use based on life cycle assessment. Int J Life Cycle Assess 19(3):601–610

    Article  Google Scholar 

  • Simon JL (1980) Resources, population, environment: an oversupply of false bad news. Science 208(4451):1431–1437

    Article  CAS  Google Scholar 

  • Simon J (1998) The ultimate resource 2. Princeton University Press, Princeton

    Google Scholar 

  • Skinner BJ (1976) A second iron age ahead? Am Sci 64(3):158–169

    Google Scholar 

  • Skinner BJ (1979) Earth resources. Proc Natl Acad Sci 76(9):4121–4217

    Article  Google Scholar 

  • Steen BA (2006) Abiotic resource depletion—different perceptions of the problem with mineral deposits. Int J Life Cycle Assess 11(1):49–54

    Article  Google Scholar 

  • Steen B, Borg G (2002) An estimation of the cost of sustainable production of metal concentrates from the Earth’s crust. Ecol Econ 42(3):401–413

    Article  Google Scholar 

  • Steinberger JK, Krausmann F, Eisenmenger N (2010) Global patterns of materials use: a socioeconomic and geophysical analysis. Ecol Econ 69(5):1148–1158

    Article  Google Scholar 

  • Stewart M, Weidema B (2005) A consistent framework for assessing the impacts from resource use, a focus on resource functionality. Int J Life Cycle Assess 10(4):240–247

    Article  Google Scholar 

  • Tilton JE (1996) Exhaustible resources and sustainable development—two different paradigms. Resour Policy 22(1/2):91–97

    Article  Google Scholar 

  • Tilton JE (2003) On borrowed time? Assessing the threat of mineral depletion. Resources for the Future, Washington, DC

  • Tilton JE, Lagos G (2007) Assessing the long-run availability of copper. Resour Policy 32(1–2):19–23

    Article  Google Scholar 

  • UNEP (2011) Estimating long-run geological stocks of metals. Working Paper, April 6, 2011. UNEP International Panel on Sustainable Resource Management, Working Group on Geological Stocks of Metals, Paris

    Google Scholar 

  • USGS (2013) Mineral commodity summaries. U.S. Geological Survey, Department of the Interior, Reston

    Google Scholar 

  • USGS (2014a) Mineral commodity summaries. U.S. Geological Survey, Department of the Interior, Reston

    Google Scholar 

  • USGS (2014b) Mineral commodity summaries 2014—Appendix C. U.S. Geological Survey, U.S. Department of the Interior, Washington

    Google Scholar 

  • van Oers L, deKoning A, Guinée J, Huppes G (2002) Abiotic resource depletion in LCA. Road and Hydraulic Engineering Institute, Leiden

    Google Scholar 

  • Yanagi T (2011) Arc volcano of Japan. Lecture notes in earth sciences 136. Springer, Verlag

    Google Scholar 

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Correspondence to Laura Schneider.

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Responsible editor: Jeroen Guinée

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Schneider, L., Berger, M. & Finkbeiner, M. Abiotic resource depletion in LCA—background and update of the anthropogenic stock extended abiotic depletion potential (AADP) model. Int J Life Cycle Assess 20, 709–721 (2015). https://doi.org/10.1007/s11367-015-0864-0

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