Correddu Fabio, Lunesu Mondina Francesca, Sechi Sara, Caratzu Maria Francesca, Pulina Giuseppe
Dipartimento di Agraria, University of Sassari, Sassari, Italy.
PLoS One. 2025 Aug 18;20(8):e0330379. doi: 10.1371/journal.pone.0330379. eCollection 2025.
Achieving global climate targets requires accurate quantification of greenhouse gas (GHG) emissions and their implied impact on temperature. However, the choice of emission metric-particularly between Global Warming Potential over 100 years (GWP100) and Global Warming Potential Star (GWP*)-can significantly influence how emissions and their contributions to global warming are represented in climate assessments. While metrics do not alter physical temperature outcomes, they affect how emissions' impacts are interpreted, which in turn influences carbon dioxide removal (CDR) estimates and mitigation strategies. Using FAO projections for global livestock emissions to 2050, we analyze how different metric choices affect estimates of the CDR required to offset methane (CH₄) emissions and achieve no additional warming condition. Our findings highlight that GWP100 can overestimate or underestimate the cumulative warming impact of CH₄ emissions under different emission trajectories, whereas GWP* provides a dynamic approach that better aligns with temperature goals. These differences have critical implications for climate policy, as they influence the perceived effectiveness of mitigation strategies and the allocation of CDR requirements. This study underscores the necessity of selecting appropriate metrics when designing climate mitigation frameworks, particularly for methane-intensive sectors like livestock, to ensure an accurate representation of their contribution to global temperature targets.
实现全球气候目标需要准确量化温室气体(GHG)排放及其对气温的潜在影响。然而,排放指标的选择——特别是在100年全球变暖潜能值(GWP100)和全球变暖潜能值星(GWP*)之间——会显著影响气候评估中排放及其对全球变暖的贡献的呈现方式。虽然指标不会改变实际的温度结果,但它们会影响对排放影响的解读,进而影响二氧化碳去除(CDR)估计和缓解策略。利用联合国粮食及农业组织(FAO)对到2050年全球牲畜排放的预测,我们分析了不同指标选择如何影响抵消甲烷(CH₄)排放并实现无额外变暖条件所需的CDR估计。我们的研究结果突出表明,在不同的排放轨迹下,GWP100可能高估或低估CH₄排放的累积变暖影响,而GWP*提供了一种动态方法,能更好地与温度目标保持一致。这些差异对气候政策具有关键影响,因为它们会影响缓解策略的感知有效性和CDR需求的分配。这项研究强调了在设计气候缓解框架时选择合适指标的必要性,特别是对于像牲畜这样甲烷密集型的部门,以确保准确反映它们对全球温度目标的贡献。