Modelling the influence of climate change on characterization factors for copper terrestrial ecotoxicity
Description
This document presents the interactive maps that accompany the article “Modelling the influence of climate change on characterization factors for copper terrestrial ecotoxicity”, published in Journal of Cleaner Production (2023) by Ivan Viveros Santosa,*, Annie Levasseurb, Cécile Bullec, Louise Deschênesa, and Anne-Marie Boulaya.
Characterization factors (CFs) for copper terrestrial ecotoxicity were calculated for a current scenario and mid-term future scenarios by 2050 according to three Representative Concentration Pathways (RCP2.6, RCP4.5, and RCP8.5).
Notes:
The maps are identified according to their order of appearance in the manuscript.
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On this page, the term baseline is used to denote the current scenario.
Readers can click any region to get additional details that are displayed in a small box:
Attributes |
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Scenario |
Country |
CF (PAF·m3·day·kg-1)
|
Change in CF (%) |
Figure 3
CFs (PAF·m3·day·kg-1) for copper terrestrial ecotoxicity aggregated at the level of European wine-growing regions under the current, RCP2.6, RCP4.5, and RCP8.5 scenarios (coloured by quantiles).
Figure 4
Relative change (%) in CFs aggregated at the level of European wine-growing regions compared to the current period for RCP2.6, RCP4.5, and RCP8.5 scenarios.
Figure 5
CFs (PAF·m3·day·kg-1) for copper terrestrial ecotoxicity aggregated at the level of European regions (NUTS2) under the current, RCP2.6, RCP4.5, and RCP8.5 scenarios (coloured by quantiles).
Figure 6
Relative change (%) in CFs aggregated at the level of European regions compared to the current scenario for RCP2.6, RCP4.5, and RCP8.5 scenarios.
Available data
Output data layers: The shapefiles of CFs computed in this study can be found in this repository
Citation
Viveros Santos, I., Levasseur, A., Bulle, C., Deschênes, L., & Boulay, A.-M. (2023). Modelling the influence of climate change on characterization factors for copper terrestrial ecotoxicity. Journal of Cleaner Production, 414, 137601. https://doi.org/10.1016/j.jclepro.2023.137601