Articles | Volume 16, issue 4
https://doi.org/10.5194/esd-16-979-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/esd-16-979-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Delineating the technosphere: definition, categorization, and characteristics
Eric D. Galbraith
CORRESPONDING AUTHOR
Earth and Planetary Sciences, McGill University, Montreal, Canada
Institut de Ciència i Tecnología Ambientals (ICTA-UAB), Universitat Autònoma de Barcelona, 08193, Cerdanyola del Vallès, Spain
ICREA, Pg. Lluís Companys 23, 08010, Barcelona, Spain
Abdullah Al Faisal
Earth and Planetary Sciences, McGill University, Montreal, Canada
Tanya Matitia
Earth and Planetary Sciences, McGill University, Montreal, Canada
William Fajzel
Earth and Planetary Sciences, McGill University, Montreal, Canada
Ian Hatton
Earth and Planetary Sciences, McGill University, Montreal, Canada
Helmut Haberl
Institute of Social Ecology, BOKU University, Vienna, Austria
Fridolin Krausmann
Institute of Social Ecology, BOKU University, Vienna, Austria
Dominik Wiedenhofer
Institute of Social Ecology, BOKU University, Vienna, Austria
Related authors
Jerome Guiet, Daniele Bianchi, Kim J. N. Scherrer, Ryan F. Heneghan, and Eric D. Galbraith
Geosci. Model Dev., 17, 8421–8454, https://doi.org/10.5194/gmd-17-8421-2024, https://doi.org/10.5194/gmd-17-8421-2024, 2024
Short summary
Short summary
The BiOeconomic mArine Trophic Size-spectrum (BOATSv2) model dynamically simulates global commercial fish populations and their coupling with fishing activity, as emerging from environmental and economic drivers. New features, including separate pelagic and demersal populations, iron limitation, and spatial variation of fishing costs and management, improve the accuracy of high seas fisheries. The updated model code is available to simulate both historical and future scenarios.
Priscilla Le Mézo, Jérôme Guiet, Kim Scherrer, Daniele Bianchi, and Eric Galbraith
Biogeosciences, 19, 2537–2555, https://doi.org/10.5194/bg-19-2537-2022, https://doi.org/10.5194/bg-19-2537-2022, 2022
Short summary
Short summary
This study quantifies the role of commercially targeted fish biomass in the cycling of three important nutrients (N, P, and Fe), relative to nutrients otherwise available in water and to nutrients required by primary producers, and the impact of fishing. We use a model of commercially targeted fish biomass constrained by fish catch and stock assessment data to assess the contributions of fish at the global scale, at the time of the global peak catch and prior to industrial fishing.
Eric D. Galbraith
Earth Syst. Dynam., 12, 671–687, https://doi.org/10.5194/esd-12-671-2021, https://doi.org/10.5194/esd-12-671-2021, 2021
Short summary
Short summary
Scientific tradition has left a gap between the study of humans and the rest of the Earth system. Here, a holistic approach to the global human system is proposed, intended to provide seamless integration with natural sciences. At the core, this focuses on what humans are doing with their time, what the bio-physical outcomes of those activities are, and what the lived experience is. The quantitative approach can facilitate data analysis across scales and integrated human–Earth system modeling.
Olivier Cartapanis, Eric D. Galbraith, Daniele Bianchi, and Samuel L. Jaccard
Clim. Past, 14, 1819–1850, https://doi.org/10.5194/cp-14-1819-2018, https://doi.org/10.5194/cp-14-1819-2018, 2018
Short summary
Short summary
A data-based reconstruction of carbon-bearing deep-sea sediment shows significant changes in the global burial rate over the last glacial cycle. We calculate the impact of these deep-sea changes, as well as hypothetical changes in continental shelf burial and volcanic outgassing. Our results imply that these geological fluxes had a significant impact on ocean chemistry and the global carbon isotopic ratio, and that the natural carbon cycle was not in steady state during the Holocene.
Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Eric D. Galbraith, William Cheung, Manuel Barange, Julia L. Blanchard, Laurent Bopp, Andrea Bryndum-Buchholz, Matthias Büchner, Catherine Bulman, David A. Carozza, Villy Christensen, Marta Coll, John P. Dunne, Jose A. Fernandes, Elizabeth A. Fulton, Alistair J. Hobday, Veronika Huber, Simon Jennings, Miranda Jones, Patrick Lehodey, Jason S. Link, Steve Mackinson, Olivier Maury, Susa Niiranen, Ricardo Oliveros-Ramos, Tilla Roy, Jacob Schewe, Yunne-Jai Shin, Tiago Silva, Charles A. Stock, Jeroen Steenbeek, Philip J. Underwood, Jan Volkholz, James R. Watson, and Nicola D. Walker
Geosci. Model Dev., 11, 1421–1442, https://doi.org/10.5194/gmd-11-1421-2018, https://doi.org/10.5194/gmd-11-1421-2018, 2018
Short summary
Short summary
Model intercomparison studies in the climate and Earth sciences communities have been crucial for strengthening future projections. Given the speed and magnitude of anthropogenic change in the marine environment, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. We describe the Fisheries and Marine Ecosystem Model Intercomparison Project, which brings together the marine ecosystem modelling community to inform long-term projections of marine ecosystems.
Katja Frieler, Stefan Lange, Franziska Piontek, Christopher P. O. Reyer, Jacob Schewe, Lila Warszawski, Fang Zhao, Louise Chini, Sebastien Denvil, Kerry Emanuel, Tobias Geiger, Kate Halladay, George Hurtt, Matthias Mengel, Daisuke Murakami, Sebastian Ostberg, Alexander Popp, Riccardo Riva, Miodrag Stevanovic, Tatsuo Suzuki, Jan Volkholz, Eleanor Burke, Philippe Ciais, Kristie Ebi, Tyler D. Eddy, Joshua Elliott, Eric Galbraith, Simon N. Gosling, Fred Hattermann, Thomas Hickler, Jochen Hinkel, Christian Hof, Veronika Huber, Jonas Jägermeyr, Valentina Krysanova, Rafael Marcé, Hannes Müller Schmied, Ioanna Mouratiadou, Don Pierson, Derek P. Tittensor, Robert Vautard, Michelle van Vliet, Matthias F. Biber, Richard A. Betts, Benjamin Leon Bodirsky, Delphine Deryng, Steve Frolking, Chris D. Jones, Heike K. Lotze, Hermann Lotze-Campen, Ritvik Sahajpal, Kirsten Thonicke, Hanqin Tian, and Yoshiki Yamagata
Geosci. Model Dev., 10, 4321–4345, https://doi.org/10.5194/gmd-10-4321-2017, https://doi.org/10.5194/gmd-10-4321-2017, 2017
Short summary
Short summary
This paper describes the simulation scenario design for the next phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which is designed to facilitate a contribution to the scientific basis for the IPCC Special Report on the impacts of 1.5 °C global warming. ISIMIP brings together over 80 climate-impact models, covering impacts on hydrology, biomes, forests, heat-related mortality, permafrost, tropical cyclones, fisheries, agiculture, energy, and coastal infrastructure.
Nicolas Brown and Eric D. Galbraith
Clim. Past, 12, 1663–1679, https://doi.org/10.5194/cp-12-1663-2016, https://doi.org/10.5194/cp-12-1663-2016, 2016
Short summary
Short summary
An Earth system model is used to explore variability in the global impacts of AMOC disruptions. The model exhibits spontaneous AMOC oscillations under particular boundary conditions, which we compare with freshwater-forced disruptions. We find that the global impacts are similar whether the AMOC disruptions are spontaneous or forced. Freshwater forcing generally amplifies the global impacts, with tropical precipitation and the stability of polar haloclines showing particular sensitivity.
David Anthony Carozza, Daniele Bianchi, and Eric Douglas Galbraith
Geosci. Model Dev., 9, 1545–1565, https://doi.org/10.5194/gmd-9-1545-2016, https://doi.org/10.5194/gmd-9-1545-2016, 2016
Short summary
Short summary
We present the ecological module of the BiOeconomic mArine Trophic Size-spectrum (BOATS) model, which takes an Earth-system approach to modeling upper trophic level biomass at the global scale. BOATS employs fundamental ecological principles and takes a simple approach that relies on fewer parameters compared to similar modelling efforts. As such, it enables the exploration of the linkages between ocean biogeochemistry, climate, upper trophic levels, and fisheries at the global scale.
O. Duteil, W. Koeve, A. Oschlies, D. Bianchi, E. Galbraith, I. Kriest, and R. Matear
Biogeosciences, 10, 7723–7738, https://doi.org/10.5194/bg-10-7723-2013, https://doi.org/10.5194/bg-10-7723-2013, 2013
Jerome Guiet, Daniele Bianchi, Kim J. N. Scherrer, Ryan F. Heneghan, and Eric D. Galbraith
Geosci. Model Dev., 17, 8421–8454, https://doi.org/10.5194/gmd-17-8421-2024, https://doi.org/10.5194/gmd-17-8421-2024, 2024
Short summary
Short summary
The BiOeconomic mArine Trophic Size-spectrum (BOATSv2) model dynamically simulates global commercial fish populations and their coupling with fishing activity, as emerging from environmental and economic drivers. New features, including separate pelagic and demersal populations, iron limitation, and spatial variation of fishing costs and management, improve the accuracy of high seas fisheries. The updated model code is available to simulate both historical and future scenarios.
Gamze Ünlü, Florian Maczek, Jihoon Min, Stefan Frank, Fridolin Glatter, Paul Natsuo Kishimoto, Jan Streeck, Nina Eisenmenger, Dominik Wiedenhofer, and Volker Krey
Geosci. Model Dev., 17, 8321–8352, https://doi.org/10.5194/gmd-17-8321-2024, https://doi.org/10.5194/gmd-17-8321-2024, 2024
Short summary
Short summary
Extraction and processing of raw materials constitute a significant source of CO2 emissions in industry and so are contributors to climate change. We develop an open-source tool to assess different industry decarbonization pathways in integrated assessment models (IAMs) with a representation of material flows and stocks. We highlight the importance of expanding the scope of climate change mitigation options to include circular-economy and material efficiency measures in IAM scenario analysis.
Priscilla Le Mézo, Jérôme Guiet, Kim Scherrer, Daniele Bianchi, and Eric Galbraith
Biogeosciences, 19, 2537–2555, https://doi.org/10.5194/bg-19-2537-2022, https://doi.org/10.5194/bg-19-2537-2022, 2022
Short summary
Short summary
This study quantifies the role of commercially targeted fish biomass in the cycling of three important nutrients (N, P, and Fe), relative to nutrients otherwise available in water and to nutrients required by primary producers, and the impact of fishing. We use a model of commercially targeted fish biomass constrained by fish catch and stock assessment data to assess the contributions of fish at the global scale, at the time of the global peak catch and prior to industrial fishing.
Eric D. Galbraith
Earth Syst. Dynam., 12, 671–687, https://doi.org/10.5194/esd-12-671-2021, https://doi.org/10.5194/esd-12-671-2021, 2021
Short summary
Short summary
Scientific tradition has left a gap between the study of humans and the rest of the Earth system. Here, a holistic approach to the global human system is proposed, intended to provide seamless integration with natural sciences. At the core, this focuses on what humans are doing with their time, what the bio-physical outcomes of those activities are, and what the lived experience is. The quantitative approach can facilitate data analysis across scales and integrated human–Earth system modeling.
Olivier Cartapanis, Eric D. Galbraith, Daniele Bianchi, and Samuel L. Jaccard
Clim. Past, 14, 1819–1850, https://doi.org/10.5194/cp-14-1819-2018, https://doi.org/10.5194/cp-14-1819-2018, 2018
Short summary
Short summary
A data-based reconstruction of carbon-bearing deep-sea sediment shows significant changes in the global burial rate over the last glacial cycle. We calculate the impact of these deep-sea changes, as well as hypothetical changes in continental shelf burial and volcanic outgassing. Our results imply that these geological fluxes had a significant impact on ocean chemistry and the global carbon isotopic ratio, and that the natural carbon cycle was not in steady state during the Holocene.
Derek P. Tittensor, Tyler D. Eddy, Heike K. Lotze, Eric D. Galbraith, William Cheung, Manuel Barange, Julia L. Blanchard, Laurent Bopp, Andrea Bryndum-Buchholz, Matthias Büchner, Catherine Bulman, David A. Carozza, Villy Christensen, Marta Coll, John P. Dunne, Jose A. Fernandes, Elizabeth A. Fulton, Alistair J. Hobday, Veronika Huber, Simon Jennings, Miranda Jones, Patrick Lehodey, Jason S. Link, Steve Mackinson, Olivier Maury, Susa Niiranen, Ricardo Oliveros-Ramos, Tilla Roy, Jacob Schewe, Yunne-Jai Shin, Tiago Silva, Charles A. Stock, Jeroen Steenbeek, Philip J. Underwood, Jan Volkholz, James R. Watson, and Nicola D. Walker
Geosci. Model Dev., 11, 1421–1442, https://doi.org/10.5194/gmd-11-1421-2018, https://doi.org/10.5194/gmd-11-1421-2018, 2018
Short summary
Short summary
Model intercomparison studies in the climate and Earth sciences communities have been crucial for strengthening future projections. Given the speed and magnitude of anthropogenic change in the marine environment, the time is ripe for similar comparisons among models of fisheries and marine ecosystems. We describe the Fisheries and Marine Ecosystem Model Intercomparison Project, which brings together the marine ecosystem modelling community to inform long-term projections of marine ecosystems.
Katja Frieler, Stefan Lange, Franziska Piontek, Christopher P. O. Reyer, Jacob Schewe, Lila Warszawski, Fang Zhao, Louise Chini, Sebastien Denvil, Kerry Emanuel, Tobias Geiger, Kate Halladay, George Hurtt, Matthias Mengel, Daisuke Murakami, Sebastian Ostberg, Alexander Popp, Riccardo Riva, Miodrag Stevanovic, Tatsuo Suzuki, Jan Volkholz, Eleanor Burke, Philippe Ciais, Kristie Ebi, Tyler D. Eddy, Joshua Elliott, Eric Galbraith, Simon N. Gosling, Fred Hattermann, Thomas Hickler, Jochen Hinkel, Christian Hof, Veronika Huber, Jonas Jägermeyr, Valentina Krysanova, Rafael Marcé, Hannes Müller Schmied, Ioanna Mouratiadou, Don Pierson, Derek P. Tittensor, Robert Vautard, Michelle van Vliet, Matthias F. Biber, Richard A. Betts, Benjamin Leon Bodirsky, Delphine Deryng, Steve Frolking, Chris D. Jones, Heike K. Lotze, Hermann Lotze-Campen, Ritvik Sahajpal, Kirsten Thonicke, Hanqin Tian, and Yoshiki Yamagata
Geosci. Model Dev., 10, 4321–4345, https://doi.org/10.5194/gmd-10-4321-2017, https://doi.org/10.5194/gmd-10-4321-2017, 2017
Short summary
Short summary
This paper describes the simulation scenario design for the next phase of the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP), which is designed to facilitate a contribution to the scientific basis for the IPCC Special Report on the impacts of 1.5 °C global warming. ISIMIP brings together over 80 climate-impact models, covering impacts on hydrology, biomes, forests, heat-related mortality, permafrost, tropical cyclones, fisheries, agiculture, energy, and coastal infrastructure.
Nicolas Brown and Eric D. Galbraith
Clim. Past, 12, 1663–1679, https://doi.org/10.5194/cp-12-1663-2016, https://doi.org/10.5194/cp-12-1663-2016, 2016
Short summary
Short summary
An Earth system model is used to explore variability in the global impacts of AMOC disruptions. The model exhibits spontaneous AMOC oscillations under particular boundary conditions, which we compare with freshwater-forced disruptions. We find that the global impacts are similar whether the AMOC disruptions are spontaneous or forced. Freshwater forcing generally amplifies the global impacts, with tropical precipitation and the stability of polar haloclines showing particular sensitivity.
David Anthony Carozza, Daniele Bianchi, and Eric Douglas Galbraith
Geosci. Model Dev., 9, 1545–1565, https://doi.org/10.5194/gmd-9-1545-2016, https://doi.org/10.5194/gmd-9-1545-2016, 2016
Short summary
Short summary
We present the ecological module of the BiOeconomic mArine Trophic Size-spectrum (BOATS) model, which takes an Earth-system approach to modeling upper trophic level biomass at the global scale. BOATS employs fundamental ecological principles and takes a simple approach that relies on fewer parameters compared to similar modelling efforts. As such, it enables the exploration of the linkages between ocean biogeochemistry, climate, upper trophic levels, and fisheries at the global scale.
O. Duteil, W. Koeve, A. Oschlies, D. Bianchi, E. Galbraith, I. Kriest, and R. Matear
Biogeosciences, 10, 7723–7738, https://doi.org/10.5194/bg-10-7723-2013, https://doi.org/10.5194/bg-10-7723-2013, 2013
Related subject area
Topics: Antroposphere | Interactions: Human/Earth system interactions | Methods: Other methods
Early opportunity signals of a tipping point in the UK's second-hand electric vehicle market
The State of Global Catastrophic Risk Research: A Bibliometric Review
Tipping dynamics in packaging systems: How a bottle reuse system was established and then undone
Advancing the estimation of future climate impacts within the United States
Chris A. Boulton, Joshua E. Buxton, and Timothy M. Lenton
Earth Syst. Dynam., 16, 411–421, https://doi.org/10.5194/esd-16-411-2025, https://doi.org/10.5194/esd-16-411-2025, 2025
Short summary
Short summary
Early warning signals used to detect tipping points are tested on a dataset of daily views of online electric vehicle (EV) adverts. The attention given to EV adverts spikes upwards after specific events before returning to normality more slowly over time. Alongside increases in autocorrelation and variance, these results are consistent with the movement towards a tipping point to an EV-dominated market, highlighting the ability of these signals to work in previously untested social systems.
Florian Ulrich Jehn, John-Oliver Engler, Constantin W. Arnscheidt, Magdalena Wache, Ekaterina Ilin, Laura Cook, Lalitha S. Sundaram, Frederic Hanusch, and Luke Kemp
EGUsphere, https://doi.org/10.31223/X52X4V, https://doi.org/10.31223/X52X4V, 2024
Short summary
Short summary
Research on global catastrophic risks (GCR) and existential risks (ER) studies global threats like pandemics or nuclear war. Here we present the first systematic bibliometric analysis of the GCR/ER literature. We find that the literature has grown and differentiated considerably over the last 20 years, but the researchers lack geographic and gender diversity. Still, the GCR/ER field has contributed considerably to both understanding and preparation for the largest risks that face humanity.
Mila Kim-Chau Fiona Ong, Fenna Blomsma, and Timothy Michael Lenton
EGUsphere, https://doi.org/10.5194/egusphere-2023-2361, https://doi.org/10.5194/egusphere-2023-2361, 2023
Short summary
Short summary
We investigate the initially successful transition from regional bottle reuse for mineral water to a widespread bottle reuse system in Germany, its subsequent destabilisation, and what this teaches us about tipping dynamics in packaging systems. Our findings demonstrate opportunities to create an enabling environment for change, and the role of specific reinforcing feedback loops and interventions in accelerating or impeding sustainable transitions.
Corinne Hartin, Erin E. McDuffie, Karen Noiva, Marcus Sarofim, Bryan Parthum, Jeremy Martinich, Sarah Barr, Jim Neumann, Jacqueline Willwerth, and Allen Fawcett
Earth Syst. Dynam., 14, 1015–1037, https://doi.org/10.5194/esd-14-1015-2023, https://doi.org/10.5194/esd-14-1015-2023, 2023
Short summary
Short summary
This study utilizes a reduced-complexity model, Framework for Evaluating Damages and Impacts (FrEDI), to assess the impacts from climate change in the United States across 10 000 future probabilistic emission and socioeconomic projections. Climate-driven damages are largest for the health category, with the majority of damages in this category coming from the valuation estimates of premature mortality attributable to climate-driven changes in extreme temperature and air quality scenarios.
Cited articles
Alexander, P., Brown, C., Arneth, A., Finnigan, J., Moran, D., and Rounsevell, M. D.: Losses, Inefficiencies and Waste in the Global Food System, Agr. Syst., 153, 190–200, 2017. a
Bar-On, Y. M., Phillips, R., and Milo, R.: The Biomass Distribution on Earth, P. Natl. Acad. Sci. USA, 115, 6506–6511, 2018. a
Benton, M. J.: Stems, Nodes, Crown Clades, and Rank-Free Lists: Is Linnaeus Dead?, Biol. Rev., 75, 633–648, 2000. a
Boyd, R.: A Different Kind of Animal: How Culture Transformed Our Species, Princeton University Press, ISBN 1-4008-8852-2, 2018. a
Brenner, N.: Implosions/Explosions: Towards a Study of Planetary Urbanism, Jovis, Berlin, ISBN 3868593179, 2014. a
Chen, W.-Q. and Graedel, T. E.: In-Use Product Stocks Link Manufactured Capital to Natural Capital, P. Natl. Acad. Sci. USA, 112, 6265–6270, 2015. a
Cobb, C. W. and Douglas, P. H.: A Theory of Production, Am. Econ. Rev., 18, 139–165, 1928. a
Cooper, A. H., Brown, T. J., Price, S. J., Ford, J. R., and Waters, C. N.: Humans Are the Most Significant Global Geomorphological Driving Force of the 21st Century, Anthrop. Rev., 5, 222–229, 2018. a
Creutzig, F., Acemoglu, D., Bai, X., Edwards, P. N., Hintz, M. J., Kaack, L. H., Kilkis, S., Kunkel, S., Luers, A., and Milojevic-Dupont, N.: Digitalization and the Anthropocene, Ann. Rev. Environ. Res., 47, 479–509, 2022. a
Daily, G. C. and Ehrlich, P. R.: Population, Sustainability, and Earth's Carrying Capacity, BioScience, 42, 761–771, 1992. a
Deetman, S., Marinova, S., van der Voet, E., van Vuuren, D. P., Edelenbosch, O., and Heijungs, R.: Modelling Global Material Stocks and Flows for Residential and Service Sector Buildings towards 2050, J. Clean. Prod., 245, 118658, https://doi.org/10.1016/j.jclepro.2019.118658, 2020. a, b
Delogu, M., Del Pero, F., Berzi, L., Pierini, M., and Bonaffini, D.: End-of-Life in the Railway Sector: Analysis of Recyclability and Recoverability for Different Vehicle Case Studies, Waste Manag., 60, 439–450, 2017. a
Dietz, S., Rising, J., Stoerk, T., and Wagner, G.: Economic Impacts of Tipping Points in the Climate System, P. Natl. Acad. Sci. USA, 118, e2103081118, https://doi.org/10.1073/pnas.2103081118, 2021. a
Donges, J. F., Lucht, W., Müller-Hansen, F., and Steffen, W.: The Technosphere in Earth System Analysis: A Coevolutionary Perspective, Anthrop. Rev., 4, 23–33, 2017. a
Ellis, E. C.: Ecology in an Anthropogenic Biosphere, Ecol. Monogr., 85, 287–331, 2015. a
Esch, T., Brzoska, E., Dech, S., Leutner, B., Palacios-Lopez, D., Metz-Marconcini, A., Marconcini, M., Roth, A., and Zeidler, J.: World Settlement Footprint 3D-A First Three-Dimensional Survey of the Global Building Stock, Remote Sens. Environ., 270, 112877, https://doi.org/10.1016/j.rse.2021.112877, 2022. a
Faisal, A.-A., Kaye, M., Ahmed, M., and Galbraith, E.: The SESAME Human-Earth Atlas: Integration of Human and Earth System Data, Sci. Data, 12, 775, https://doi.org/10.1038/s41597-025-05087-5, 2025. a, b
Fajzel, W., Galbraith, E. D., Barrington-Leigh, C., Charmes, J., Frie, E., Hatton, I., Le Mézo, P., Milo, R., Minor, K., and Wan, X.: The Global Human Day, P. Natl. Acad. Sci. USA, 120, e2219564120, https://doi.org/10.1073/pnas.221956412, 2023. a
Fischer-Kowalski, M. and Haberl, H.: Socioecological Transitions and Global Change: Trajectories of Social Metabolism and Land Use, Edward Elgar Publishing, ISBN 1-84720-943-2, 2007. a
Fischer-Kowalski, M., Krausmann, F., Pichler, P. P., Schaeffer, R. K., and Stadler, S.: Great Transformations: Social Revolutions Erupted during Energy Transitions around the World, 1500–2013, Energ. Res. Soc. Sci., 105, 103280, https://doi.org/10.1016/j.erss.2023.103280, 2023. a, b
Folke, C., Jansson, Å., Rockström, J., Olsson, P., Carpenter, S. R., Chapin, F. S., Crépin, A.-S., Daily, G., Danell, K., and Ebbesson, J.: Reconnecting to the Biosphere, Ambio, 40, 719–738, 2011. a
Fu, C., Zhang, Y., Deng, T., and Daigo, I.: The Evolution of Material Stock Research: From Exploring to Rising to Hot Studies, J. Indust. Ecol., 26, 462–476, 2022. a
Galbraith, E.: Technosphere geospatial data, Zenodo [data set], https://doi.org/10.5281/zenodo.15277290, 2025. a
Galbraith, E., Fajzel, W., Xu, S., Xia, V., Frie, E., Barrington-Leigh, C., and Reyes-García, V.: Interdisciplinary Applications of Human Time Use with Generalized Lexicons, PloS one, 17, e0270583, https://doi.org/10.1371/journal.pone.0270583, 2022. a
Galbraith, E. D.: Earth system economics: a biophysical approach to the human component of the Earth system, Earth Syst. Dynam., 12, 671–687, https://doi.org/10.5194/esd-12-671-2021, 2021. a
Glöser, S., Soulier, M., and Tercero Espinoza, L. A.: Dynamic Analysis of Global Copper Flows. Global Stocks, Postconsumer Material Flows, Recycling Indicators, and Uncertainty Evaluation, Environ. Sci. Technol., 47, 6564–6572, 2013. a
Görg, C., Plank, C., Wiedenhofer, D., Mayer, A., Pichler, M., Schaffartzik, A., and Krausmann, F.: Scrutinizing the Great Acceleration: The Anthropocene and Its Analytic Challenges for Social-Ecological Transformations, Anthrop. Rev., 7, 42–61, https://doi.org/10.1177/2053019619895034, 2020. a
Graeber, D. and Wengrow, D.: The Dawn of Everything: A New History of Humanity, Penguin UK, ISBN 0-241-40245-X, 2021. a
Graedel, T. E., Harper, E. M., Nassar, N. T., and Reck, B. K.: On the Materials Basis of Modern Society, P. Natl. Acad. Sci. USA, 112, 6295–6300, 2015. a
Haberl, H., Erb, K. H., Krausmann, F., Gaube, V., Bondeau, A., Plutzar, C., Gingrich, S., Lucht, W., and Fischer-Kowalski, M.: Quantifying and Mapping the Human Appropriation of Net Primary Production in Earth's Terrestrial Ecosystems, P. Natl. Acad. Sci. USA, 104, 12942–12947, 2007. a
Haberl, H., Baumgart, A., Zeidler, J., Schug, F., Palacios-Lopez, D., Fishman, T., Peled, Y., Cai, B., Virág, D., Hostert, P., Wiedenhofer, D., and Esch, T.: Weighing the Global Built Environment: High Resolution Mapping and Quantification of Material Stocks in Buildings, J. Indust. Ecol., 29, 159–172, 2025. a, b, c, d
Haff, P. K.: Technosphere, in: Handbook of the Anthropocene: Humans between Heritage and Future, 537–541, Springer, https://doi.org/10.1007/978-3-031-25910-4_85, 2023. a, b
Harvey, L. D.: Reconciling Global Iron and Steel Mass Flow Datasets, with an Update to 2011–2015 and an Assessment of Uncertainty in Global End-of-Life Scrap Flow, Resour. Conserv. Recy., 182, 106281, https://doi.org/10.1016/j.resconrec.2022.106281, 2022. a
Huggett, R.: Earth's Spheres: Conceptual and Definitional Debates, Progress in Physical Geography: Earth and Environment, 48, 651–670, https://doi.org/10.1177/03091333241275465, 2024. a
Huxley, J. and Nicholson, M.: Man's Deteriorating Environment, Times, p. 8, 1969. a
Inostroza, L.: Measuring Urban Ecosystem Functions through “Technomass” – A Novel Indicator to Assess Urban Metabolism, Ecol. Indic., 42, 10–19, 2014. a
Jemiolo, W.: Life Cycle Assessment of Current Aned Future Passenger Air Transport in Switzerland, Ph.D. thesis, Universitetet i Nordland, 2015. a
Johansson, N., Krook, J., Eklund, M., and Berglund, B.: An Integrated Review of Concepts and Initiatives for Mining the Technosphere: Towards a New Taxonomy, J. Clean. Prod., 55, 35–44, 2013. a
Kaewunruen, S. and Rungskunroch, P.: A Through-Life Evaluation of End-of-Life Rolling Stocks Considering Asset Recycling, Energy Recovering, and Financial Benefit, J. Clean. Prod., 212, 1008–1024, 2019. a
Kalt, G., Thunshirn, P., Wiedenhofer, D., Krausmann, F., Haas, W., and Haberl, H.: Material Stocks in Global Electricity Infrastructures – an Empirical Analysis of the Power Sector's Stock-Flow-Service Nexus, Resour. Conserv. Recy., 173, 105723, https://doi.org/10.1016/j.resconrec.2021.105723, 2021. a, b
Kelly, R. L.: The Lifeways of Hunter-Gatherers: The Foraging Spectrum, Cambridge University Press, https://doi.org/10.1017/CBO9781139176132, 2013. a, b
Koestler, A.: Beyond Atomism and Holism – the Concept of the Holon, Perspect. Biol. Med., 13, 131–154, 1970. a
Kong, X., Feng, K., Wang, P., Wan, Z., Lin, L., Zhang, N., and Li, J.: Steel Stocks and Flows of Global Merchant Fleets as Material Base of International Trade from 1980 to 2050, Glob. Environ. Change, 73, 102493, https://doi.org/10.1016/j.gloenvcha.2022.102493, 2022. a
Krausmann, F., Gingrich, S., Eisenmenger, N., Erb, K.-H., Haberl, H., and Fischer-Kowalski, M.: Growth in Global Materials Use, GDP and Population during the 20th Century, Ecol. Econ., 68, 2696–2705, 2009. a
Krausmann, F., Weisz, H., and Eisenmenger, N.: Transitions in Sociometabolic Regimes throughout Human History, Social ecology: society-nature relations across time and space, 63–92, https://doi.org/10.1007/978-3-319-33326-7, 2016. a
Lanau, M., Liu, G., Kral, U., Wiedenhofer, D., Keijzer, E., Yu, C., and Ehlert, C.: Taking Stock of Built Environment Stock Studies: Progress and Prospects, Environ. Sci. Technol., 53, 8499–8515, https://doi.org/10.1021/acs.est.8b06652, 2019. a, b, c
Le Boulzec, H., Delannoy, L., Andrieu, B., Verzier, F., Vidal, O., and Mathy, S.: Dynamic Modeling of Global Fossil Fuel Infrastructure and Materials Needs: Overcoming a Lack of Available Data, Appl. Energ., 326, 119871, https://doi.org/10.1016/j.apenergy.2022.119871, 2022. a
Lenzen, M., Geschke, A., West, J., Fry, J., Malik, A., Giljum, S., Milà i Canals, L., Piñero, P., Lutter, S., and Wiedmann, T.: Implementing the Material Footprint to Measure Progress towards Sustainable Development Goals 8 and 12, Nat. Sustain., 5, 157–166, 2022. a
Linnaeus, C.: Systema Naturae, Vol. 1, Stockholm Laurentii Salvii, 1758. a
Malm, A.: The Origins of Fossil Capital: From Water to Steam in the British Cotton Industry, Hist. Mater., 21, 15–68, 2013. a
Maslow, A. H.: A Theory of Human Motivation, Psychol. Rev., 50, 370–396, 1943. a
McNeill, J. R.: Something New under the Sun: An Environmental History of the Twentieth-Century World (the Global Century Series), WW Norton & Company, ISBN 0-393-07589-3, 2001. a
Meijer, J. R., Huijbregts, M. A., Schotten, K. C., and Schipper, A. M.: Global Patterns of Current and Future Road Infrastructure, Environ. Res. Lett., 13, 064006, https://doi.org/10.1088/1748-9326/aabd42, 2018. a
Mennis, J.: Generating Surface Models of Population Using Dasymetric Mapping, Prof. Geogr., 55, 31–42, https://doi.org/10.1111/0033-0124.10042, 2003. a
Milsum, J. H.: The Technosphere, the Biosphere, the Sociosphere Their Systems Modeling and Optimization, IEEE Spectrum, 5, 76–82, 1968. a
Müller, D. B., Liu, G., Løvik, A. N., Modaresi, R., Pauliuk, S., Steinhoff, F. S., and Brattebø, H.: Carbon Emissions of Infrastructure Development, Environ. Sci. Technol., 47, 11739–11746, 2013. a
Oswalt, W. H.: Technological Complexity: The Polar Eskimos and the Tareumiut, Arctic Anthropol., 24, 82–98, 1987. a
Pauliuk, S. and Müller, D. B.: The Role of In-Use Stocks in the Social Metabolism and in Climate Change Mitigation, Glob. Environ. Change, 24, 132–142, 2014. a
Rauch, J. N.: Global Mapping of Al, Cu, Fe, and Zn in-Use Stocks and in-Ground Resources, P. Natl. Acad. Sci. USA, 106, 18920–18925, 2009. a
Raworth, K.: Doughnut Economics: Seven Ways to Think like a 21st Century Economist, Chelsea Green Publishing, ISBN 1-60358-796-9, 2018. a
Sabbatino, M.: Global Oil & Gas Features Database, Tech. Rep., National Energy Technology Laboratory (NETL), Pittsburgh, PA, Morgantown, WV, https://doi.org/10.18141/1427300, 2018. a
Schaffartzik, A., Pichler, M., Pineault, E., Wiedenhofer, D., Gross, R., and Haberl, H.: The Transformation of Provisioning Systems from an Integrated Perspective of Social Metabolism and Political Economy: A Conceptual Framework, Sustain. Sci., 16, 1405–1421, 2021. a
Smil, V.: General Energetics: Energy in the Biosphere and Civilization, Vol. 369, Wiley, New York, NY, ISBN 0471629057, 1991. a
Smil, V.: Enriching the Earth: Fritz Haber, Carl Bosch, and the Transformation of World Food Production, MIT press, ISBN 0-262-69313-5, 2004. a
Smil, V.: Energy in Nature and Society: General Energetics of Complex Systems, MIT press, ISBN 0-262-69356-9, 2007. a
Steffen, W., Richardson, K., Rockström, J., Cornell, S. E., Fetzer, I., Bennett, E. M., Biggs, R., Carpenter, S. R., De Vries, W., and De Wit, C. A.: Planetary Boundaries: Guiding Human Development on a Changing Planet, Science, 347, 1259855, 2015. a
Stiglitz, J. E., Sen, A., and Fitoussi, J.-P.: Report by the Commission on the Measurement of Economic Performance and Social Progress, http://www.stiglitz-sen-fitoussi.fr/ (last access: 7 July 2025), 2009. a
Streeck, J., Pauliuk, S., Wieland, H., and Wiedenhofer, D.: A Review of Methods to Trace Material Flows into Final Products in Dynamic Material Flow Analysis: From Industry Shipments in Physical Units to Monetary Input–Output Tables, Part 1, J. Indust. Ecol., 27, 436–456, 2023. a
Wiedenhofer, D., Rovenskaya, E., Haas, W., Krausmann, F., Pallua, I., and Fischer-Kowalski, M.: Is There a 1970s Syndrome? Analyzing Structural Breaks in the Metabolism of Industrial Economies, European Geosciences Union General Assembly 2013, EGUDivision Energy, Resources & the Environment, ERE, 40, 182–191, https://doi.org/10.1016/j.egypro.2013.08.022, 2013. a
Wiedenhofer, D., Baumgart, A., Matej, S., Virág, D., Kalt, G., Lanau, M., Tingley, D. D., Liu, Z., Guo, J., and Tanikawa, H.: Mapping and Modelling Global Mobility Infrastructure Stocks, Material Flows and Their Embodied Greenhouse Gas Emissions, J. Clean. Prod., 434, 139742, https://doi.org/10.1016/j.jclepro.2023.139742, 2024a. a, b, c
Wiedenhofer, D., Streeck, J., Wieland, H., Grammer, B., Baumgart, A., Plank, B., Helbig, C., Pauliuk, S., Haberl, H., and Krausmann, F.: From Extraction to End-uses and Waste Management: Modeling Economy-wide Material Cycles and Stock Dynamics around the World, J. Indust. Ecol., 28, 1464–1480, 2024b. a, b, c, d
Wiedmann, T. O., Schandl, H., Lenzen, M., Moran, D., Suh, S., West, J., and Kanemoto, K.: The Material Footprint of Nations, P. Natl. Acad. Sci. USA, 112, 6271–6276, 2015. a
Zalasiewicz, J., Williams, M., Waters, C. N., Barnosky, A. D., and Haff, P.: The Technofossil Record of Humans, Anthrop. Rev., 1, 34–43, 2014. a
Chief editor
This paper presents an important perspective on the technosphere as an intertwined component of the human-Earth system in the Anthropocene.
This paper presents an important perspective on the technosphere as an intertwined component of...
Short summary
The technosphere – including buildings, infrastructure, and all other non-living human creations – is a major part of our planet, but it is not often considered as an integrated part of Earth system processes. Here we propose a refined definition of the technosphere, intended to help with integration. We also characterize the functional end uses, map the global distribution, and discuss the catalytic properties that underlie the exponential growth of the trillion tonne technosphere.
The technosphere – including buildings, infrastructure, and all other non-living human creations...
Altmetrics
Final-revised paper
Preprint