Quantifying climate loss and damage consistent with a social cost of carbon

环境科学 碳纤维 社会成本 气候变化 自然资源经济学 气候政策 碳通量 碳循环 气候系统 全球变暖 温室气体 气候模式 环境保护 大气科学 固碳 环境资源管理 气候学 二氧化碳 成本估算 铅(地质)
作者
Marshall Burke,Mustafa Zahid,Noah S. Diffenbaugh,Solomon Hsiang
出处
期刊:Nature [Nature Portfolio]
卷期号:651 (8107): 959-966
标识
DOI:10.1038/s41586-026-10272-6
摘要

Climate change is causing measurable harm globally1,2. Political and legal efforts seek to link these damages with specific emissions, including in discussions of loss and damage (L&D)3,4; however, no quantitative definition of L&D exists5,6, nor is there a framework to link past and future emissions from specific sources to monetized, location-specific damages. Here we develop such a framework, which is integrated with recent efforts to estimate the social cost of carbon7. Using empirical estimates of the non-linear relationship between temperature and aggregate economic output, we show that future damages from past emissions—one component of L&D—are at least an order of magnitude larger than historical damages from the same emissions. For instance, one tonne of CO2 emitted in 1990 caused US$180 in discounted global damages by 2020 ($40–530) and will cause an additional $1,840 through 2100 ($500–5,700). Thus, settling debts for past damages will not settle debts for past emissions. In other illustrative estimates, a single long-haul flight per year over the past decade leads to about $25k ($6,000–77,000) in future damages by 2100, and US emissions since 1990 caused $500 billion ($180–1,300 billion) of damage in India and $330 billion ($110–820 billion) in Brazil. Carbon removal offers an alternative to transfer payments for settling L&D, but is increasingly ineffective in limiting damages as the delay between emission and recapture increases. A new framework links specific emissions to monetized, location-specific climate damages, showing that future harms from past CO2 emissions far exceed historical damages and that delayed carbon removal cannot fully offset these losses.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
不喜欢孜然完成签到,获得积分10
刚刚
bluueboom完成签到,获得积分20
刚刚
Sledge应助南京市民采纳,获得10
刚刚
三心草发布了新的文献求助10
刚刚
舒芙团子完成签到,获得积分10
1秒前
Archer发布了新的文献求助10
1秒前
Beforemoon完成签到 ,获得积分10
1秒前
2秒前
曰曰发布了新的文献求助10
2秒前
玛卡巴卡发布了新的文献求助10
2秒前
小酒Y发布了新的文献求助10
2秒前
3秒前
花花发布了新的文献求助10
3秒前
dde应助panzer采纳,获得20
4秒前
小白菇凉完成签到,获得积分10
5秒前
不喜欢孜然完成签到,获得积分10
5秒前
希wang完成签到,获得积分10
5秒前
Cchen发布了新的文献求助10
5秒前
充电宝应助uiiii采纳,获得10
5秒前
5秒前
6秒前
6秒前
6秒前
萤火虫发布了新的文献求助10
6秒前
酷炫的海冬完成签到,获得积分20
7秒前
Akim应助流星雨采纳,获得10
7秒前
pptt发布了新的文献求助10
8秒前
打打应助limu采纳,获得10
8秒前
夏雪儿发布了新的文献求助10
8秒前
LOOP完成签到,获得积分10
8秒前
Wdd完成签到,获得积分10
9秒前
9秒前
共享精神应助幽默毛衣采纳,获得10
9秒前
Dank1ng完成签到,获得积分10
9秒前
10秒前
发paper完成签到 ,获得积分10
10秒前
10秒前
共享精神应助踏实的丹亦采纳,获得10
11秒前
上官若男应助奇妙猪猪侠采纳,获得10
11秒前
瘦瘦慕梅完成签到,获得积分10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Navigating Normative Orders. Interdisciplinary Perspectives 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
A Case Study on Hotels as Noncongregate Emergency Living Accommodations for Returning Citizens 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7755421
求助须知:如何正确求助?哪些是违规求助? 9301922
关于积分的说明 20266323
捐赠科研通 7338116
什么是DOI,文献DOI怎么找? 3311174
关于科研通互助平台的介绍 2462259
邀请新用户注册赠送积分活动 2324512