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      Retrospective and projected warming-equivalent emissions from global livestock and cattle calculated with an alternative climate metric denoted GWP*

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          Abstract

          Limiting warming by the end of the century to 1.5°C compared to pre-Industrial times requires reaching and sustaining net zero global carbon dioxide (CO 2) emissions and declining radiative forcing from non-CO 2 greenhouse gas (GHG) sources such as methane (CH 4). This implies eliminating CO 2 emissions or balancing them with removals while mitigating CH 4 emissions to reduce their radiative forcing over time. The global cattle sector (including Buffalo) mainly emits CH 4 and N 2O and will benefit from understanding the extent and speed of CH 4 reductions necessary to align its mitigation ambitions with global temperature goals. This study explores the utility of an alternative usage of global warming potentials (GWP*) in combination with the Transient Climate Response to cumulative carbon Emissions (TCRE) to compare retrospective and projected climate impacts of global livestock emission pathways with other sectors (e.g. fossil fuel and land use change). To illustrate this, we estimated the amount and fraction of total warming attributable to direct CH 4 livestock emissions from 1750 to 2019 using existing emissions datasets and projected their contributions to future warming under three historical and three future emission scenarios. These historical and projected estimates were transformed into cumulative CO 2 equivalent (GWP 100) and warming equivalent (GWP*) emissions that were multiplied by a TCRE coefficient to express induced warming as globally averaged surface temperature change. In general, temperature change estimates from this study are comparable to those obtained from other climate models. Sustained annual reductions in CH 4 emissions of 0.32% by the global cattle sector would stabilize their future effect on global temperature while greater reductions would reverse historical past contributions to global warming by the sector in a similar fashion to increasing C sinks. The extent and speed with which CH 4 mitigation interventions are introduced by the sector will determine the peak temperature achieved in the path to net-zero GHG.

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          Soil carbon debt of 12,000 years of human land use

          Land use and land cover change has resulted in substantial losses of carbon from soils globally, but credible estimates of how much soil carbon has been lost have been difficult to generate. Using a data-driven statistical model and the History Database of the Global Environment v3.2 historic land-use dataset, we estimated that agricultural land uses have resulted in the loss of 133 Pg C from the soil. Importantly, our maps indicate hotspots of soil carbon loss, often associated with major cropping regions and degraded grazing lands, suggesting that there are identifiable regions that should be targets for soil carbon restoration efforts. Human appropriation of land for agriculture has greatly altered the terrestrial carbon balance, creating a large but uncertain carbon debt in soils. Estimating the size and spatial distribution of soil organic carbon (SOC) loss due to land use and land cover change has been difficult but is a critical step in understanding whether SOC sequestration can be an effective climate mitigation strategy. In this study, a machine learning-based model was fitted using a global compilation of SOC data and the History Database of the Global Environment (HYDE) land use data in combination with climatic, landform and lithology covariates. Model results compared favorably with a global compilation of paired plot studies. Projection of this model onto a world without agriculture indicated a global carbon debt due to agriculture of 133 Pg C for the top 2 m of soil, with the rate of loss increasing dramatically in the past 200 years. The HYDE classes “grazing” and “cropland” contributed nearly equally to the loss of SOC. There were higher percent SOC losses on cropland but since more than twice as much land is grazed, slightly higher total losses were found from grazing land. Important spatial patterns of SOC loss were found: Hotspots of SOC loss coincided with some major cropping regions as well as semiarid grazing regions, while other major agricultural zones showed small losses and even net gains in SOC. This analysis has demonstrated that there are identifiable regions which can be targeted for SOC restoration efforts.
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            The proportionality of global warming to cumulative carbon emissions.

            The global temperature response to increasing atmospheric CO(2) is often quantified by metrics such as equilibrium climate sensitivity and transient climate response. These approaches, however, do not account for carbon cycle feedbacks and therefore do not fully represent the net response of the Earth system to anthropogenic CO(2) emissions. Climate-carbon modelling experiments have shown that: (1) the warming per unit CO(2) emitted does not depend on the background CO(2) concentration; (2) the total allowable emissions for climate stabilization do not depend on the timing of those emissions; and (3) the temperature response to a pulse of CO(2) is approximately constant on timescales of decades to centuries. Here we generalize these results and show that the carbon-climate response (CCR), defined as the ratio of temperature change to cumulative carbon emissions, is approximately independent of both the atmospheric CO(2) concentration and its rate of change on these timescales. From observational constraints, we estimate CCR to be in the range 1.0-2.1 degrees C per trillion tonnes of carbon (Tt C) emitted (5th to 95th percentiles), consistent with twenty-first-century CCR values simulated by climate-carbon models. Uncertainty in land-use CO(2) emissions and aerosol forcing, however, means that higher observationally constrained values cannot be excluded. The CCR, when evaluated from climate-carbon models under idealized conditions, represents a simple yet robust metric for comparing models, which aggregates both climate feedbacks and carbon cycle feedbacks. CCR is also likely to be a useful concept for climate change mitigation and policy; by combining the uncertainties associated with climate sensitivity, carbon sinks and climate-carbon feedbacks into a single quantity, the CCR allows CO(2)-induced global mean temperature change to be inferred directly from cumulative carbon emissions.
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              Improved calculation of warming-equivalent emissions for short-lived climate pollutants

              Anthropogenic global warming at a given time is largely determined by the cumulative total emissions (or stock) of long-lived climate pollutants (LLCPs), predominantly carbon dioxide (CO2), and the emission rates (or flow) of short-lived climate pollutants (SLCPs) immediately prior to that time. Under the United Nations Framework Convention on Climate Change (UNFCCC), reporting of greenhouse gas emissions has been standardised in terms of CO2-equivalent (CO2-e) emissions using Global Warming Potentials (GWP) over 100-years, but the conventional usage of GWP does not adequately capture the different behaviours of LLCPs and SLCPs, or their impact on global mean surface temperature. An alternative usage of GWP, denoted GWP*, overcomes this problem by equating an increase in the emission rate of an SLCP with a one-off “pulse” emission of CO2. We show that this approach, while an improvement on the conventional usage, slightly underestimates the impact of recent increases in SLCP emissions on current rates of warming because the climate does not respond instantaneously to radiative forcing. We resolve this with a modification of the GWP* definition, which incorporates a term for each of the short-timescale and long-timescale climate responses to changes in radiative forcing. The amended version allows “CO2-warming-equivalent” (CO2-we) emissions to be calculated directly from reported emissions. Thus SLCPs can be incorporated directly into carbon budgets consistent with long-term temperature goals, because every unit of CO2-we emitted generates approximately the same amount of warming, whether it is emitted as a SLCP or a LLCP. This is not the case for conventionally derived CO2-e.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Funding acquisitionRole: InvestigationRole: Project administrationRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: SupervisionRole: ValidationRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                2 October 2023
                2023
                : 18
                : 10
                : e0288341
                Affiliations
                [1 ] Basque Centre for Climate Change (BC3), Edificio Sede no. 1, Planta 1, Parque Científico de UPV/EHU, Barrio Leioa, Bizkaia, Spain
                [2 ] Ikerbasque—Basque Foundation of Science, Bilbao, Spain
                [3 ] Global Dairy Platform, Rosemont, IL, United States of America
                [4 ] Innovation Center for U.S. Dairy, Rosemont, IL, United States of America
                Sichuan University, CHINA
                Author notes

                Competing Interests: The authors have read the journal’s policy and have the following competing interests: JT is a paid employee of Dairy Management Inc. There are no patents, products in development or marketed products associated with this research to declare.

                Author information
                https://orcid.org/0000-0003-3895-4478
                Article
                PONE-D-23-08709
                10.1371/journal.pone.0288341
                10545102
                37782671
                68b624fc-e8bb-4bed-9143-a8649753dd3e
                © 2023 del Prado et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 March 2023
                : 25 June 2023
                Page count
                Figures: 9, Tables: 2, Pages: 18
                Funding
                Funded by: Global Dairy Platform
                Award Recipient :
                Funded by: Global dairy Platform
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003989, Ikerbasque, Basque Foundation for Science;
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100017642, Spanish National Plan for Scientific and Technical Research and Innovation;
                Award ID: RYC-2017-22143
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004837, Ministerio de Ciencia e Innovación;
                Award ID: CEX2021-001201-M
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100003086, Eusko Jaurlaritza;
                Award ID: BERC 2022-2024
                Award Recipient :
                Funded by: Dairy Management Inc (US)
                Award Recipient :
                Funded by: Dairy Management Inc (US)
                Award Recipient :
                Funded by: Arla Food
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001044, Dairy Australia;
                Award Recipient :
                Funded by: Innovation Centre for US Dairy
                Award Recipient :
                Funded by: Dairy Companies of New Zealand
                Award Recipient :
                Funded by: Global Round Table for Sustainable Beef
                Award Recipient :
                Funded by: McDonalds Corporation
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100001054, Meat and Livestock Australia;
                Award Recipient :
                The authors of this paper report the following sources of funding: Global Dairy Platform supported authors AdP and BL. Ikerbasque, Basque Foundation for Science supported AdP, Spanish National Plan for Scientific and Technical Research and Innovation supported AdP through grant (RYC-2017-22143), Ministerio de Ciencia e Innovación supported AdP through grant (CEX2021-001201-M), Eusko Jaurlaritza supported AdP through grant (BERC 2022-2024), Dairy Management Inc (US) supported AdP and JT through Global Dairy Platform AdP was also supported through Global Dairy Platform by Arla Foods, Dairy Australia, Dairy Companies of New Zealand, Global Round Table for Sustainable Beef, Innovation Centre for US Dairy, McDonalds Corporation, and Meat and Livestock Australia. BL is supported by Global Dairy Platform. JT received salary from Dairy Management Inc. The funders had a role in the study design by providing some of the general questions. The specific roles of these authors are articulated in the ‘author contributions’ section.
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