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What is the global causality between geopolitical risks, government governance, and energy transition? Empirical evidence from cross-country data 地缘政治风险、政府治理和能源转型之间的全球因果关系是什么?来自跨国数据的经验证据
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-18 DOI: 10.1186/s13021-025-00322-3
Haijie Wang, Tianyi Zhang, Zhenhua Zhang, Yanchao Feng

Amid profound shifts in the global energy landscape, increasing attention is being paid to the causal relationships among geopolitical risks, government governance, and energy transition. Based on data covering 39 countries from 2002 to 2020, this study explores the long-term causal relationships between geopolitical risks, governance quality, and energy transition. The analysis applies cross-sectional dependence and slope heterogeneity tests, the CADF unit root test, second-generation cointegration methods, Pooled Mean Group (PMG) estimation, Method of Moments Quantile Regression (MMQR), and Granger causality tests. The results yield three key findings. Firstly, governance quality is negatively associated with energy transition, while geopolitical risks have a positive effect. Secondly, MMQR shows that these effects are more pronounced at higher quantiles of the energy transition distribution, meaning countries further along in the transition process are more responsive to changes in governance and geopolitical conditions. Thirdly, heterogeneity tests indicate that geopolitical risks exhibit a more pronounced long-term positive contribution to energy transition in economically high-growth and highly urbanized countries. These findings challenge dominant assumptions in the literature, particularly the presumed uniformly positive role of governance. The results suggest that the influence of governance and geopolitical risks on energy transition is context-dependent and nonlinear. This study provides new empirical evidence and theoretical insights to inform energy policy under geopolitical uncertainty.

在全球能源格局发生深刻变化的背景下,地缘政治风险、政府治理与能源转型之间的因果关系日益受到关注。基于2002 - 2020年39个国家的数据,本研究探讨了地缘政治风险、治理质量和能源转型之间的长期因果关系。分析应用了横断面相关检验和斜率异质性检验、CADF单位根检验、第二代协整方法、混合平均组(PMG)估计、矩量分位数回归法(MMQR)和格兰杰因果检验。结果产生了三个关键发现。首先,治理质量与能源转型呈负相关,而地缘政治风险具有正相关。其次,MMQR显示,这些影响在能源转型分布的较高分位数上更为明显,这意味着在转型过程中走得更远的国家对治理和地缘政治条件的变化反应更迅速。第三,异质性检验表明,在经济高增长和高度城市化的国家,地缘政治风险对能源转型的长期积极贡献更为显著。这些发现挑战了文献中的主流假设,特别是对治理统一积极作用的假设。研究结果表明,治理和地缘政治风险对能源转型的影响具有情境依赖性和非线性。本研究为地缘政治不确定性下的能源政策提供了新的经验证据和理论见解。
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引用次数: 0
Assessing the global flux of organic carbon transported from terrestrial surfaces to oceans by rivers 评估有机碳从陆地表面经河流输送到海洋的全球通量
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-18 DOI: 10.1186/s13021-025-00318-z
Fei Chen, Xiaoyong Bai, Guangjie Luo, Guangying Zhang, Chen Ran, Xuling Luo

The magnitude and distribution of organic carbon (OC) transport from the terrestrial surface to the oceans is not well understood on a global scale. This hinders our understanding of terrestrial and marine carbon cycles. In this study, we determined the characteristics of OC flux. Our results showed that approximately 420 Tg C/yr of OC are transported from the terrestrial surface to the oceans, including 220 Tg C/yr of particulate organic carbon (POC) and 200 Tg C/yr of dissolved organic carbon (DOC). Asia, with only 32.46% of the basin area, accounts for 57.65% of the total POC flux, while North America, with only 17.52% of the basin area, accounts for 37.51% of DOC flux. Of these, the Pacific receives 48% of the total POC flux, and the Atlantic receives 46% of the total DOC flux. Five key zones are diagnosed and identified, in which latitudes between 5° N and 20° S contributed 72.76% of the global OC flux. Such insights directly reveal global riverine OC flux, which helps us to comprehensively understand the terrestrial and marine carbon cycles.

在全球范围内,有机碳(OC)从陆地表面向海洋运输的幅度和分布尚未得到很好的了解。这阻碍了我们对陆地和海洋碳循环的理解。在这项研究中,我们确定了OC通量的特征。结果表明,从陆地表面向海洋输送的OC约为420 Tg C/yr,其中颗粒有机碳(POC)为220 Tg C/yr,溶解有机碳(DOC)为200 Tg C/yr。亚洲仅占盆地面积的32.46%,却占总POC通量的57.65%;北美仅占盆地面积的17.52%,却占总DOC通量的37.51%。其中,太平洋接收到总POC通量的48%,大西洋接收到总DOC通量的46%。诊断并确定了5个关键带,其中5°N ~ 20°S纬度对全球OC通量的贡献为72.76%。这些发现直接揭示了全球河流OC通量,有助于我们全面了解陆地和海洋碳循环。
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引用次数: 0
Reconciling ecosystem service supply-demand mismatches through ecological compensation in the Tibetan plateau
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-18 DOI: 10.1186/s13021-025-00325-0
Wenjie Yao, Xiaofeng Wang, Zixu Jia, Xiaoxue Wang, Xinrong Zhang, Xiaoming Feng, Jitao Zhou, Jiahao Ma, You Tu, Xueren Liu, Zechong Sun

Accurately identifying ecological compensation (EC) regions and establishing clear compensation criteria are essential for promoting carbon sequestration, mitigating ecological degradation, and supporting equitable resource allocation. In this study, ecological modeling combined with hotspot analysis was applied to quantify the spatial mismatch between ecosystem service (ES) supply and demand on the Tibetan Plateau (TP) in 2020. We introduced the concept of comparative ecological radiation force (CERF) to characterize the spatial flow of ESs and to estimate the total compensation required to balance these flows. Our results highlight that the value of carbon sequestration, represented by net primary production (NPP), reached 1.21 × 10⁶ CNY, alongside other key services such as soil conservation (SC) (284.69 × 106 CNY), water yield (WY) (44.99 × 106 CNY) and food supply (FS) (20.81 × 106 CNY). The directional analysis of service flows revealed that NPP, along with SC and WY, predominantly flowed from east to west, while FS exhibited a north-to-south pattern. Notably, NPP received only 0.16% of the total ecological compensation, in contrast to 95.42% for SC, 4.21% for WY, and 0.21% for FS. This study provides an integrated framework for aligning EC strategies with carbon management goals, offering insights to support carbon neutrality efforts and ecosystem restoration on the TP.

准确识别生态补偿区域,建立明确的补偿标准,对促进碳固存、缓解生态退化、支持资源公平配置具有重要意义。我们引入了比较生态辐射力(CERF)的概念来描述生态环境的空间流动,并估计平衡这些流动所需的总补偿。结果表明,以净初级生产(NPP)为代表的碳固存价值达到1.21 × 10⁶CNY,与其他关键服务如土壤保持(SC) (284.69 × 106 CNY)、产水(WY) (44.99 × 106 CNY)和食物供应(FS) (20.81 × 106 CNY)并列。服务流的方向性分析表明,NPP、SC和WY以东向西为主,而FS则以北向南为主。值得注意的是,NPP仅占总生态补偿的0.16%,而SC为95.42%,WY为4.21%,FS为0.21%。本研究提供了一个统一的框架,使EC战略与碳管理目标保持一致,为支持TP上的碳中和努力和生态系统恢复提供了见解。
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引用次数: 0
Lifting the profile of deep soil carbon in New Zealand’s managed planted forests 提高新西兰管理人工林深层土壤碳含量
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-14 DOI: 10.1186/s13021-025-00323-2
Loretta G. Garrett, Katherine A. Heckman, Angela R. Possinger, Brian D. Strahm, Jeff A. Hatten, Fiona P. Fields, Steve A. Wakelin

Background

Forest soils are a globally significant carbon-store, including in deep layers (> 30 cm depth). However, there is high uncertainty regarding the response of deep soil organic carbon (DSOC) to climate change and the resulting impact on the total OC budget for forest ecosystems. Managed forests have an opportunity to reduce the risk of DSOC loss with climate change, however, the basic understanding of DSOC is lacking. Planted forests in New Zealand are managed with very limited knowledge of DSOC, both in the amount and the capacity of the soil to continue to store carbon with climate change. In this study, we explore DSOC stocks to at least 2 m depth at 15 planted forest sties in New Zealand. We also explore DSOC radiocarbon age and soil mineralogy, then contextualise our results within international SOC datasets and climate change vulnerability frameworks to identify research priorities for New Zealand’s planted forest soils.

Results

DSOC stocks and soil mineralogy in New Zealand’s planted forests were diverse both horizontally across soil types and vertically throughout the soil profile. Critically, limiting measurements of SOC to the top 30 cm misses more than half of the SOC stocks present to at least 2 m depth (mean 57%; range 33–72%). At depth, mineral-associated OC was the dominant fraction of DSOC (average > 90%) and was on average much older (> 1000 years) than the current planted forest land use (< 100 years).

Conclusions

This small case study highlights that New Zealand’s planted forests contain substantial stocks of DSOC, much of which is older than the current forest land use. The deep soils were dominated by reactive metals, and although the age of DSOC suggest long-term stability, the large contribution of reactive metal-mediated SOC stabilisation may indicate vulnerability to warming soil temperatures relative to other climate change factors. There is a pressing need to expand soil sampling to greater depths and establish a robust SOC baseline for New Zealand’s planted forests. This is essential for enabling spatial predictions of DSOC dynamics under future climate scenarios, identify the key controls on DSOC persistence, and concomitant impacts on forest ecosystem function and resilience.

森林土壤是全球重要的碳储存库,包括在深层(30厘米深)。然而,深层土壤有机碳(DSOC)对气候变化的响应及其对森林生态系统总有机碳收支的影响存在很大的不确定性。管理森林有机会降低气候变化导致的DSOC损失风险,然而,缺乏对DSOC的基本认识。在管理新西兰的人工林时,人们对DSOC的了解非常有限,无论是在土壤的数量还是土壤在气候变化中继续储存碳的能力方面。在这项研究中,我们对新西兰15个人工林至少2 m深度的DSOC储量进行了研究。我们还探索了DSOC放射性碳年龄和土壤矿物学,然后将我们的结果置于国际SOC数据集和气候变化脆弱性框架中,以确定新西兰种植森林土壤的研究重点。结果新西兰人工林土壤有机碳储量和土壤矿物学在水平方向上和垂直方向上均存在差异。至关重要的是,将有机碳的测量限制在顶部30厘米,至少2米深度的有机碳储量超过一半(平均57%;33 - 72%)。在深层,矿物相关OC是DSOC的主要部分(平均为90%),并且平均比目前的人工林土地利用(100年)要古老得多(1000年)。这个小的案例研究强调了新西兰的人工林含有大量的DSOC储量,其中大部分比目前的森林土地利用更古老。深层土壤以活性金属为主,虽然DSOC的年龄表明长期稳定,但相对于其他气候变化因素,活性金属介导的有机碳稳定的巨大贡献可能表明土壤温度变暖对土壤的脆弱性。目前迫切需要将土壤采样扩大到更深的深度,并为新西兰的人工林建立一个可靠的有机碳基线。这对于实现未来气候情景下DSOC动态的空间预测、确定DSOC持久性的关键控制因素以及对森林生态系统功能和恢复力的影响至关重要。
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引用次数: 0
Decarbonization process and productivity convergence: a global analysis of carbon total factor productivity 脱碳过程与生产率趋同:碳全要素生产率的全球分析
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-13 DOI: 10.1186/s13021-025-00317-0
Jing Liu, Jianing Zhang, Dengfeng Cui

Background

In the context of mitigating global warming and promoting sustainable development, the scientific and effective assessment of the global carbon total factor productivity (CTFP) is essential for slowing global warming and fostering green transformation and coordinated development at both the global and regional levels.

Methods

This study constructs a CTFP evaluation index system and, for the first time, employs the SBM-DDF-GML productivity index model to measure the CTFP of 137 countries worldwide from 1991 to 2019. This model combines a directional distance function with the global Malmquist–Luenberger index to achieve precision in efficiency measurement and intertemporal comparability. It effectively resolves the problems of estimation bias and time dimension inconsistency caused by the radial assumption in traditional radial models. The spatial characteristics, regional disparities, and sources of these disparities in the CTFP are examined using ArcGIS and the Dagum Gini coefficient method. The σ-convergence and β-convergence models are used to investigate the influencing factors and convergence characteristics of the CTFP.

Results

The findings reveal that (1) the global CTFP exhibited an overall upward trend with fluctuations over the sample period, with technological progress being the primary driving force. (2) There are significant gradient disparities in the global CTFP, primarily stemming from supervariable density, followed by intraregional and interregional differences, and these disparities are expanding. (3) While there is no evident σ-convergence in the global CTFP and CTFP of the four major regions, there are significant absolute and conditional β-convergence trends.

Conclusion

Based on the research results, this paper proposes specific strategies to promote the global development of CTFP. These include strengthening technology R&D to improve CTFP, encouraging regional convergence to reduce development disparities, and enhancing the dynamic monitoring and evaluation system to foster growth and equity. This study provides empirical support and a decision-making basis for the coordinated development of the global economy and environment, contributing to advancing global green, low-carbon, and sustainable development.

在减缓全球变暖、促进可持续发展的背景下,科学有效地评估全球碳全要素生产率(CTFP)对于减缓全球变暖、促进全球和区域绿色转型和协调发展至关重要。方法构建CTFP评价指标体系,首次采用SBM-DDF-GML生产力指数模型对全球137个国家1991 - 2019年的CTFP进行测度。该模型将定向距离函数与全局Malmquist-Luenberger指数相结合,以实现效率测量的精度和跨期可比性。它有效地解决了传统径向模型中由于径向假设导致的估计偏差和时间维不一致的问题。利用ArcGIS和Dagum基尼系数法分析了CTFP的空间特征、区域差异及其来源。采用σ-收敛模型和β-收敛模型研究了CTFP的影响因素和收敛特征。结果:(1)全球CTFP总体呈上升趋势,但在样本期内存在波动,其中技术进步是主要驱动力。(2)全球CTFP存在显著的梯度差异,其主要原因是超变量密度,其次是区域内和区域间差异,且差异呈扩大趋势。(3)总体和4个主要区域的CTFP均不存在明显的σ收敛趋势,但存在显著的绝对收敛和条件收敛趋势。基于研究结果,本文提出了促进CTFP全球发展的具体策略。这些措施包括加强技术研发以改善CTFP,鼓励区域趋同以缩小发展差距,以及加强动态监测和评价系统以促进增长和公平。本研究为全球经济与环境协调发展提供了实证支持和决策依据,有助于推动全球绿色、低碳、可持续发展。
{"title":"Decarbonization process and productivity convergence: a global analysis of carbon total factor productivity","authors":"Jing Liu,&nbsp;Jianing Zhang,&nbsp;Dengfeng Cui","doi":"10.1186/s13021-025-00317-0","DOIUrl":"10.1186/s13021-025-00317-0","url":null,"abstract":"<div><h3>Background</h3><p>In the context of mitigating global warming and promoting sustainable development, the scientific and effective assessment of the global carbon total factor productivity (CTFP) is essential for slowing global warming and fostering green transformation and coordinated development at both the global and regional levels.</p><h3>Methods</h3><p>This study constructs a CTFP evaluation index system and, for the first time, employs the SBM-DDF-GML productivity index model to measure the CTFP of 137 countries worldwide from 1991 to 2019. This model combines a directional distance function with the global Malmquist–Luenberger index to achieve precision in efficiency measurement and intertemporal comparability. It effectively resolves the problems of estimation bias and time dimension inconsistency caused by the radial assumption in traditional radial models. The spatial characteristics, regional disparities, and sources of these disparities in the CTFP are examined using ArcGIS and the Dagum Gini coefficient method. The <i>σ</i>-convergence and <i>β</i>-convergence models are used to investigate the influencing factors and convergence characteristics of the CTFP.</p><h3>Results</h3><p>The findings reveal that (1) the global CTFP exhibited an overall upward trend with fluctuations over the sample period, with technological progress being the primary driving force. (2) There are significant gradient disparities in the global CTFP, primarily stemming from supervariable density, followed by intraregional and interregional differences, and these disparities are expanding. (3) While there is no evident <i>σ</i>-convergence in the global CTFP and CTFP of the four major regions, there are significant absolute and conditional <i>β</i>-convergence trends.</p><h3>Conclusion</h3><p>Based on the research results, this paper proposes specific strategies to promote the global development of CTFP. These include strengthening technology R&amp;D to improve CTFP, encouraging regional convergence to reduce development disparities, and enhancing the dynamic monitoring and evaluation system to foster growth and equity. This study provides empirical support and a decision-making basis for the coordinated development of the global economy and environment, contributing to advancing global green, low-carbon, and sustainable development.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"20 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://cbmjournal.biomedcentral.com/counter/pdf/10.1186/s13021-025-00317-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144832205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Life cycle emissions associated with vault storage of wood cleared for fire management in the Western United States 生命周期排放与拱顶储存木材清理火灾管理在美国西部。
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-08 DOI: 10.1186/s13021-025-00309-0
Declan Johnson, Jimmy Voorhis, Stephen Porder
AbstractSection Background

Climate change, fire suppression, and human encroachment contribute to increasingly intense forest fires in the Western United States, releasing hundreds of millions of metric tons (MMT) CO2/year. Proactive fire-risk reduction treatments coordinated by the US Forest Service (USFS) typically include thinning and burning (or in situ decay) of thinned products and may require thinning on ~ 28 million hectares of public and private land over the next decade. Assuming thinning of only small (~ 30 cm diameter) trees within 0.8 km of existing roads on slopes gentler than a 40% grade, this will produce ~ 1,100 MMT of thinned wood, which, if burned or left to decay, will release ~ 2000 MMT CO2. Here we evaluate the life cycle emissions of an alternative fate, burial in anoxic wood vaults. We performed a life cycle analysis (LCA) to assess potential net emissions reductions, considering site clearing, transport, site preparation and post-burial decay. We used Monte-Carlo simulations to estimate emissions uncertainty and identify key parameters influencing carbon removal efficiency.

AbstractSection Results

We find wood vaults will decrease emissions relative to current practice by a mean of 66% if wood is transported 100 km, and by 38% at a transport distance of 500 km. If the USFS is able to implement the proposed Wildfire Crisis Strategy, and all of the wood from thinning were buried in wood vaults within 100–500 km of the thinning sites, our results suggest these vaults would thus sequester between ~ 40–140 MMT CO2/yr over a decade. This annual figure represents ~ 6–12% of 2021 energy-related emissions in the contiguous Western United States. Harvesting thinned products only from gentler (< 20%) slopes within shorter distances from roads (304 m) would result in a greenhouse gas savings equivalent to 3–6% of 2021 Western State emissions. However, these results depend heavily on parameters related to wood decay and post-decay methane emissions that are relatively poorly constrained.

AbstractSection Conclusions

These results suggest wood vaults are a promising emissions-reduction strategy, but challenges remain. It is not clear that the USFS has the resources to manage the additional ~ 20 million hectares targeted for forest thinning. Biogeochemically, the importance of rates of wood decay within the vault, and the fraction of methane generated that escapes the vault, are poorly constrained parameters. Their estimation will be important for narrowing uncertainty in estimates of life cycle emissions. Nevertheless, our analysis suggests wood vaults are a promising, low-tech, ready-to-deploy emissions reduction strategy in places where forest management incl

摘要背景气候变化、灭火和人类活动导致美国西部森林火灾日益加剧,每年释放数亿公吨的CO2。由美国林务局(USFS)协调的主动减少火灾风险的处理通常包括疏林和焚烧(或就地腐烂)疏林产品,可能需要在未来十年对约2800万公顷的公共和私人土地进行疏林。假设在坡度低于40%的斜坡上,仅对现有道路0.8公里范围内的小树木(直径约30厘米)进行疏林,这将产生约1,100 MMT的薄木材,如果燃烧或任其腐烂,将释放约2,000 MMT的二氧化碳。在这里,我们评估了另一种命运的生命周期排放,即在缺氧的木拱顶中埋葬。我们进行了生命周期分析(LCA)来评估潜在的净排放量减少,考虑到场地清理、运输、场地准备和埋葬后的腐烂。利用蒙特卡罗模拟估算了碳排放的不确定性,并确定了影响碳去除效率的关键参数。研究发现,如果木材运输100公里,相对于目前的做法,木拱顶将减少66%的排放,500公里的运输距离将减少38%。如果USFS能够实施提议的野火危机战略,并且所有来自间伐的木材都被埋在间伐地点100-500公里范围内的木库中,我们的研究结果表明,这些木库将在十年内每年吸收约40 - 1.4亿吨二氧化碳。这一年度数字占美国西部邻近地区2021年能源相关排放量的6-12%。仅在距离公路较短(304米)的较平缓(< 20%)斜坡上收获稀薄的产品,将节省相当于2021年西部州排放量的3-6%的温室气体。然而,这些结果在很大程度上取决于与木材腐烂和腐烂后甲烷排放有关的参数,而这些参数的约束相对较差。结论木拱顶是一种很有前景的减排策略,但挑战依然存在。目前尚不清楚美国林业局是否有资源来管理额外的约2000万公顷森林减薄目标。生物地球化学,木材在拱顶内的腐烂率的重要性,以及从拱顶中逸出的甲烷的比例,都是缺乏约束的参数。它们的估计对于缩小生命周期排放估计的不确定性将是重要的。然而,我们的分析表明,在森林管理包括机械间伐和燃烧木材废料残留物的地方,木拱顶是一种很有前途的、低技术含量的、随时可用的减排策略。在便于运输距离较短的地点,以及在拱顶地点的生物地球化学条件最大限度地减少木材腐烂的地方,木拱顶尤其具有影响力。
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引用次数: 0
Quantifying terrestrial carbon in the context of climate change: a review of common and novel technologies and methods 气候变化背景下陆地碳的量化:常用和新技术和方法综述。
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-08-07 DOI: 10.1186/s13021-025-00316-1
Samuel Gameiro, Manuel Eduardo Ferreira, Luis Fernando Chimelo Ruiz, Gillian L. Galford, Mojtaba Zeraatpisheh, Victor Fernandez Nascimento, Rosane Garcia Collevatti

Background

Understanding carbon dynamics in Earth’s ecosystem is necessary for mitigating climate change. With recent advancements in technologies, it is important to understand both how carbon quantification in soil and vegetation is measured and how it can be improved. Therefore, this study conducted a bibliometric and bibliographic review of the most common carbon quantification methodologies.

Results

Among the most widely used techniques, the Walkley-Black method and Elemental Analysis stand out for measuring below-ground carbon, while forest inventories are prominent for assessing above-ground carbon. Additionally, we found that the United States and China have the largest number of publications on this topic, with forest and agricultural areas being the most studied, followed by grasslands and mangroves. However, it should be noted that despite being indirect techniques, remote sensing, regression analysis, and machine learning have increasingly been used to generate geo-environmental carbon models for various areas. Landsat satellite images are the most widely used in remote sensing, followed by LiDAR digital models.

Conclusions

These results demonstrate that while new technologies do yet not replace analytical techniques, they are valuable allies working in conjunction with the current carbon quantification process.

背景:了解地球生态系统中的碳动态对于减缓气候变化是必要的。随着最近技术的进步,了解土壤和植被中的碳量化是如何测量的以及如何改进是很重要的。因此,本研究对最常见的碳量化方法进行了文献计量学和书目综述。结果:在最广泛使用的技术中,Walkley-Black方法和元素分析在测量地下碳方面表现突出,而森林清单在评估地上碳方面表现突出。此外,我们发现美国和中国在这一主题上的出版物数量最多,其中森林和农业领域的研究最多,其次是草原和红树林。然而,应该指出的是,尽管是间接技术,遥感、回归分析和机器学习已经越来越多地用于生成不同地区的地球环境碳模型。在遥感中应用最广泛的是陆地卫星图像,其次是激光雷达数字模型。结论:这些结果表明,虽然新技术还不能取代分析技术,但它们是与当前碳量化过程相结合的有价值的盟友。
{"title":"Quantifying terrestrial carbon in the context of climate change: a review of common and novel technologies and methods","authors":"Samuel Gameiro,&nbsp;Manuel Eduardo Ferreira,&nbsp;Luis Fernando Chimelo Ruiz,&nbsp;Gillian L. Galford,&nbsp;Mojtaba Zeraatpisheh,&nbsp;Victor Fernandez Nascimento,&nbsp;Rosane Garcia Collevatti","doi":"10.1186/s13021-025-00316-1","DOIUrl":"10.1186/s13021-025-00316-1","url":null,"abstract":"<div><h3>Background</h3><p>Understanding carbon dynamics in Earth’s ecosystem is necessary for mitigating climate change. With recent advancements in technologies, it is important to understand both how carbon quantification in soil and vegetation is measured and how it can be improved. Therefore, this study conducted a bibliometric and bibliographic review of the most common carbon quantification methodologies.</p><h3>Results</h3><p>Among the most widely used techniques, the Walkley-Black method and Elemental Analysis stand out for measuring below-ground carbon, while forest inventories are prominent for assessing above-ground carbon. Additionally, we found that the United States and China have the largest number of publications on this topic, with forest and agricultural areas being the most studied, followed by grasslands and mangroves. However, it should be noted that despite being indirect techniques, remote sensing, regression analysis, and machine learning have increasingly been used to generate geo-environmental carbon models for various areas. Landsat satellite images are the most widely used in remote sensing, followed by LiDAR digital models.</p><h3>Conclusions</h3><p>These results demonstrate that while new technologies do yet not replace analytical techniques, they are valuable allies working in conjunction with the current carbon quantification process.</p></div>","PeriodicalId":505,"journal":{"name":"Carbon Balance and Management","volume":"20 1","pages":""},"PeriodicalIF":5.8,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12330144/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144793189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The impact of the Grain-for-Green Programme on carbon storage in the Upper Yangtze River Basin based on the PLUS-InVEST model 基于PLUS-InVEST模型的退耕还林工程对长江上游流域碳储量的影响
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-07-30 DOI: 10.1186/s13021-025-00315-2
Minghong Peng, Ye Yang, Yuanjie Deng, Dingdi Jize, Hang Chen, Yifeng Hai, Guojie Liu, Haijun Wang, Tianhui Xie, Hu Li, Ji Luo

Alterations in land use and land cover (LUCC) play a fundamental role in influencing the variability of ecosystem carbon storage. Evaluating how land use dynamics affect carbon sequestration and projecting future carbon storage scenarios are essential steps toward meeting China’s dual carbon objectives. In this study, we integrated the Patch-generating Land Use Simulation (PLUS) model with the Integrated Valuation of Ecosystem Services and Tradeoffs (InVEST) framework to investigate LUCC dynamics and their implications for carbon storage across the Upper Yangtze River Basin (UYRB) between 2000 and 2020. Furthermore, projections of regional carbon storage were made under multiple Grain-for-Green Programme (GFGP) scenarios extending to the year 2040. Our findings indicated that cultivated land (CL), forest land (FL), and grassland (GL) consistently dominated land use composition within the UYRB, collectively occupying approximately 96.45% of the total area throughout 2000–2020. During this period, construction land (CSL) steadily expanded, primarily at the expense of CL. Both CL and GL experienced substantial reductions. Spatially, carbon storage exhibited a decreasing gradient from east to west, with the Jinsha River Basin exhibiting the greatest levels. Carbon storage values over the two decades were recorded at 6.387 × 10¹⁰ t in 2000, 6.382 × 10¹⁰ t in 2005, 6.379 × 10¹⁰ t in 2010, 6.369 × 10¹⁰ t in 2015, and 6.373 × 10¹⁰ t in 2020. Despite a slight recovery between 2015 and 2020, total carbon storage fell by 0.23% (1.438 × 108 t) overall. This decline was primarily driven by the conversion of high-carbon-density CL and FL into low-carbon-density CSL and GL. Future projections show distinct disparities across four policy scenarios by 2040. Under the Natural Development Scenario (NDS), rapid economic growth and land conversion are projected to result in a carbon storage loss of 1.324 × 108 t. Conversely, the mild, moderate, and strong GFGPS anticipate carbon storage increases of 1.385 × 10⁸ t, 3.157 × 10⁸ t, and 5.136 × 10⁸ t, respectively. The Jialing River Basin shows the highest gains under all GFGPS. Our findings underscore the significance of the GFGP in enhancing regional carbon sequestration, primarily through encouraging afforestation of previously CL and GL and curbing the expansion of CSL. Such insights can guide land-use planning and ecological conservation strategies in the UYRB moving forward.

土地利用和土地覆盖变化是影响生态系统碳储量变化的重要因素。评估土地利用动态如何影响碳固存和预测未来碳储存情景是实现中国双重碳目标的重要步骤。本研究将斑块生成土地利用模拟(PLUS)模型与生态系统服务与权衡综合评估(InVEST)框架相结合,研究2000 - 2020年长江上游流域土地利用变化动态及其对碳储量的影响。此外,还对区域碳储存量进行了到2040年的多种“粮食换绿色计划”情景下的预测。研究结果表明,2000-2020年,新疆维吾尔自治区耕地、林地和草地在土地利用构成中一直占主导地位,占总面积的96.45%左右。在此期间,建设用地(CSL)稳步扩大,主要是以牺牲土地为代价。CL和GL均有显著降低。从空间上看,碳储量从东到西呈递减趋势,以金沙江流域最高。二十年来的碳储存值记录为2000年的6.387 × 10¹⁰t, 2005年的6.382 × 10¹⁰t, 2010年的6.379 × 10¹⁰t, 2015年的6.369 × 10¹⁰t, 2020年的6.373 × 10¹⁰t。尽管在2015年至2020年期间略有回升,但总碳储量总体下降了0.23% (1.438 × 108 t)。这种下降主要是由高碳密度的低碳密度的陆地和陆地向低碳密度的陆地和陆地的转变所驱动的。在自然发展情景(NDS)下,快速的经济增长和土地转换预计将导致碳储量损失1.324 × 108 t。相反,轻度、中度和强GFGPS预计碳储量分别增加1.385 × 10⁸t、3.157 × 10⁸t和5.136 × 10⁸t。嘉陵江流域在所有GFGPS中收益最高。我们的研究结果强调了GFGP在加强区域碳固存方面的重要性,主要是通过鼓励造林以前的CL和GL,并抑制CSL的扩张。这些见解可以指导维吾尔自治区未来的土地利用规划和生态保护战略。
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引用次数: 0
Multi-scenario simulation and prediction of carbon surplus and deficit under the background of carbon neutrality: a case study of Chang-Zhu-Tan metropolitan area in China 碳中和背景下碳盈亏多情景模拟与预测——以长株潭都市圈为例
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-07-18 DOI: 10.1186/s13021-025-00314-3
Weiyi Sun, Jiaxi Liu, Xianzhao Liu, Tianhao Wang

Background

Global climate change, marked by persistent warming trends, has emerged as one of the foremost challenges confronting human society in the 21st century. Systematically promoting carbon peak and neutrality has become a critical priority for governments in China. As the most active urbanization region in the country, metropolitan areas assume a pivotal leadership and exemplary role in executing carbon peak and neutrality initiatives. Consequently, we focus our research on the Chang-Zhu-Tan Metropolitan Area (CMA). The STIRPAT and CA-Markov models are employed to forecast carbon sinks and carbon emissions under various scenarios in 2030 and 2060, respectively, to explore pathways to carbon neutrality under various conditions.

Results

The findings indicate that the carbon surplus and deficit (CSD) values have consistently been negative from 2000 to 2020, signifying a persistent carbon deficit in the region, which has exhibited an upward trend. Notably, the CSD in Yuelu, Ningxiang, and Changsha experienced the most significant increases, particularly in Yuelu, where it reached − 11.22 × 106 t by 2020. Depending on the combinations of scenarios, the CSD values are anticipated to range from − 130.75 × 106 t to − 98.22 × 106 t in 2030, and from − 63.28 × 106 t to − 21.22 × 106 t in 2060. Furthermore, the carbon emissions under different scenarios are projected to reach peaks in 2030, with a maximum of 66.54 × 106 t in 2060.

Conclusions

The prediction results of carbon neutrality in the CMA indicate that carbon emission is expected to reach peaks before 2030 across various scenarios. However, carbon emissions will significantly exceed the carbon sink capacity by 2060, and there is still a carbon emission gap of at least 2122.44 × 104 t from achieving carbon neutrality, highlighting the necessity of accelerating emission reduction in the industrial and energy sectors. Consequently, the critical challenge to achieve carbon neutrality lies in the substantial reduction of carbon emissions.

背景:以持续变暖趋势为特征的全球气候变化已成为21世纪人类社会面临的首要挑战之一。系统地推进碳峰值和碳中和已成为中国政府的当务之急。作为全国城市化最活跃的地区,大都市区在实施碳峰值和碳中和倡议方面发挥着关键的领导和示范作用。因此,本文以长株潭都市圈为研究对象。利用STIRPAT和CA-Markov模型分别对2030年和2060年不同情景下的碳汇和碳排放进行预测,探索不同条件下的碳中和路径。结果:2000 ~ 2020年,碳盈余和碳赤字(CSD)值持续为负,表明该地区碳赤字持续存在,且呈上升趋势。值得注意的是,岳麓、宁乡和长沙的CSD增长最为显著,特别是岳麓,到2020年达到- 11.22 × 106 t。根据不同情景的组合,预计2030年的CSD值范围为- 130.75 × 106 t至- 98.22 × 106 t, 2060年的CSD值范围为- 63.28 × 106 t至- 21.22 × 106 t。不同情景下的碳排放在2030年达到峰值,2060年达到峰值66.54 × 106 t。结论:CMA碳中和预测结果表明,在不同情景下,中国碳排放预计在2030年前达到峰值。然而,到2060年,碳排放将显著超过碳汇容量,距离实现碳中和仍有至少2122.44 × 104 t的碳排放差距,凸显了工业和能源部门加快减排的必要性。因此,实现碳中和的关键挑战在于大幅减少碳排放。
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引用次数: 0
Carbon co-benefits of digital economy and green finance: empirical evidence from China 数字经济与绿色金融的碳协同效益:来自中国的经验证据。
IF 5.8 3区 环境科学与生态学 Q2 ENVIRONMENTAL SCIENCES Pub Date : 2025-07-05 DOI: 10.1186/s13021-025-00311-6
Yayun Ren, Xiaohang Xu, Yantuan Yu, Zhenhua Zhang

Addressing the carbon co-benefits of policy tools requires simultaneous improvements in both the quantity and quality of carbon abatement to achieve long-term sustainability and equity. Driven by digital technologies and bolstered by green capital, the combination of the digital economy and green finance (DEGF) establishes an effective mechanism for attaining sustainable development goals. Treating the coordinated implementation of the National Big Data Comprehensive Pilot Zones (NBDCPZ) and Green Finance Reform and Innovation Pilot Zones (GFRIPZ) policies in China as a quasi-natural experiment, we identify the carbon co-benefits of DEGF using the Synthetic Control Method with penalized regression technique. Empirical findings show that DEGF significantly promotes simultaneous improvements in both the quantity and quality of carbon mitigation. These findings are robust across various validation tests, including time-placebo test, alternative model specification, and double machine learning algorithms. According to mechanisms analysis, improving green technological innovation and human capital level are the main channels that DEGF produces carbon co-benefits. The study provides China and other emerging economies seeking to promote sustainable development through digital-green integration with policy-relevant implications.

解决政策工具的碳协同效益需要同时提高碳减排的数量和质量,以实现长期可持续性和公平性。数字经济与绿色金融的结合以数字技术为驱动,以绿色资本为支撑,为实现可持续发展目标建立了有效机制。将中国国家大数据综合试验区(NBDCPZ)和绿色金融改革创新试验区(GFRIPZ)政策的协调实施作为准自然实验,采用惩罚回归技术的综合控制方法确定了DEGF的碳协同效益。实证结果表明,DEGF显著促进了碳减排数量和质量的同步提高。这些发现在各种验证测试中都是稳健的,包括时间安慰剂测试、替代模型规范和双机器学习算法。机制分析表明,绿色技术创新和人力资本水平的提高是DEGF产生碳协同效益的主要渠道。该研究为中国和其他新兴经济体寻求通过数字绿色融合促进可持续发展提供了与政策相关的启示。
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引用次数: 0
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Carbon Balance and Management
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