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Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-21 DOI: 10.1029/2023EF004402
Julia L. Blanchard, Camilla Novaglio, Olivier Maury, Cheryl S. Harrison, Colleen M. Petrik, Denisse Fierro-Arcos, Kelly Ortega-Cisneros, Andrea Bryndum-Buchholz, Tyler D. Eddy, Ryan Heneghan, Kelsey Roberts, Jacob Schewe, Daniele Bianchi, Jerome Guiet, P. Daniel van Denderen, Juliano Palacios-Abrantes, Xiao Liu, Charles A. Stock, Yannick Rousseau, Matthias Büchner, Ezekiel O. Adekoya, Cathy Bulman, William Cheung, Villy Christensen, Marta Coll, Leonardo Capitani, Samik Datta, Elizabeth A. Fulton, Alba Fuster, Victoria Garza, Matthieu Lengaigne, Max Lindmark, Kieran Murphy, Jazel Ouled-Cheikh, Sowdamini S. Prasad, Ricardo Oliveros-Ramos, Jonathan C. Reum, Nina Rynne, Kim J. N. Scherrer, Yunne-Jai Shin, Jeroen Steenbeek, Phoebe Woodworth-Jefcoats, Yan-Lun Wu, Derek P. Tittensor
{"title":"Detecting, Attributing, and Projecting Global Marine Ecosystem and Fisheries Change: FishMIP 2.0","authors":"Julia L. Blanchard,&nbsp;Camilla Novaglio,&nbsp;Olivier Maury,&nbsp;Cheryl S. Harrison,&nbsp;Colleen M. Petrik,&nbsp;Denisse Fierro-Arcos,&nbsp;Kelly Ortega-Cisneros,&nbsp;Andrea Bryndum-Buchholz,&nbsp;Tyler D. Eddy,&nbsp;Ryan Heneghan,&nbsp;Kelsey Roberts,&nbsp;Jacob Schewe,&nbsp;Daniele Bianchi,&nbsp;Jerome Guiet,&nbsp;P. Daniel van Denderen,&nbsp;Juliano Palacios-Abrantes,&nbsp;Xiao Liu,&nbsp;Charles A. Stock,&nbsp;Yannick Rousseau,&nbsp;Matthias Büchner,&nbsp;Ezekiel O. Adekoya,&nbsp;Cathy Bulman,&nbsp;William Cheung,&nbsp;Villy Christensen,&nbsp;Marta Coll,&nbsp;Leonardo Capitani,&nbsp;Samik Datta,&nbsp;Elizabeth A. Fulton,&nbsp;Alba Fuster,&nbsp;Victoria Garza,&nbsp;Matthieu Lengaigne,&nbsp;Max Lindmark,&nbsp;Kieran Murphy,&nbsp;Jazel Ouled-Cheikh,&nbsp;Sowdamini S. Prasad,&nbsp;Ricardo Oliveros-Ramos,&nbsp;Jonathan C. Reum,&nbsp;Nina Rynne,&nbsp;Kim J. N. Scherrer,&nbsp;Yunne-Jai Shin,&nbsp;Jeroen Steenbeek,&nbsp;Phoebe Woodworth-Jefcoats,&nbsp;Yan-Lun Wu,&nbsp;Derek P. Tittensor","doi":"10.1029/2023EF004402","DOIUrl":"https://doi.org/10.1029/2023EF004402","url":null,"abstract":"<p>There is an urgent need for models that can robustly detect past and project future ecosystem changes and risks to the services that they provide to people. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) was established to develop model ensembles for projecting long-term impacts of climate change on fisheries and marine ecosystems while informing policy at spatio-temporal scales relevant to the Inter-Sectoral Impact Model Intercomparison Project (ISIMIP) framework. While contributing FishMIP models have improved over time, large uncertainties in projections remain, particularly in coastal and shelf seas where most of the world's fisheries occur. Furthermore, previous FishMIP climate impact projections have been limited by a lack of global standardized historical fishing data, low resolution of coastal processes, and uneven capabilities across the FishMIP community to dynamically model fisheries. These features are needed to evaluate how reliably the FishMIP ensemble captures past ecosystem states - a crucial step for building confidence in future projections. To address these issues, we have developed FishMIP 2.0 comprising a two-track framework for: (a) Model evaluation and attribution of past changes and (b) future climate and socioeconomic scenario projections. Key advances include improved historical climate forcing, which captures oceanographic features not previously resolved, and standardized global fishing forcing to test fishing effects systematically across models. FishMIP 2.0 is a crucial step toward a detection and attribution framework for changing marine ecosystems and toward enhanced policy relevance through increased confidence in future ensemble projections. Our results will help elucidate pathways toward achieving sustainable development goals.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023EF004402","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868794","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Vegetation Greening Mitigates the Impacts of Increasing Extreme Rainfall on Runoff Events
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-20 DOI: 10.1029/2024EF004661
Darren L. Ficklin, Danielle Touma, Benjamin I. Cook, Scott M. Robeson, Taehee Hwang, Jacob Scheff, A. Park Williams, Harper Watson, Ben Livneh, Mari R. Tye, Lixin Wang
{"title":"Vegetation Greening Mitigates the Impacts of Increasing Extreme Rainfall on Runoff Events","authors":"Darren L. Ficklin,&nbsp;Danielle Touma,&nbsp;Benjamin I. Cook,&nbsp;Scott M. Robeson,&nbsp;Taehee Hwang,&nbsp;Jacob Scheff,&nbsp;A. Park Williams,&nbsp;Harper Watson,&nbsp;Ben Livneh,&nbsp;Mari R. Tye,&nbsp;Lixin Wang","doi":"10.1029/2024EF004661","DOIUrl":"https://doi.org/10.1029/2024EF004661","url":null,"abstract":"<div>\u0000 \u0000 \u0000 <section>\u0000 \u0000 <p>Future flood risk assessment has primarily focused on heavy rainfall as the main driver, with the assumption that projected increases in extreme rain events will lead to subsequent flooding. However, the presence of and changes in vegetation have long been known to influence the relationship between rainfall and runoff. Here, we extract historical (1850–1880) and projected (2070–2100) daily extreme rainfall events, the corresponding runoff, and antecedent conditions simulated in a prominent large Earth system model ensemble to examine the shifting extreme rainfall and runoff relationship. Even with widespread projected increases in the magnitude (78% of the land surface) and number (72%) of extreme rainfall events, we find projected declines in event-based runoff ratio (runoff/rainfall) for a majority (57%) of the Earth surface. Runoff ratio declines are linked with decreases in antecedent soil water driven by greater transpiration and canopy evaporation (both linked to vegetation greening) compared to areas with runoff ratio increases. Using a machine learning regression tree approach, we find that changes in canopy evaporation is the most important variable related to changes in antecedent soil water content in areas of decreased runoff ratios (with minimal changes in antecedent rainfall) while antecedent ground evaporation is the most important variable in areas of increased runoff ratios. Our results suggest that simulated interactions between vegetation greening, increasing evaporative demand, and antecedent soil drying are projected to diminish runoff associated with extreme rainfall events, with important implications for society.</p>\u0000 </section>\u0000 </div>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF004661","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
National Forest Restoration Projects in China: Cost-Efficiency, and Trade-Off Between Carbon Sequestration and Water Consumption
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-19 DOI: 10.1029/2024EF004976
Jiehao Zhang, Yulong Zhang, Xia Wang, Tiehu He, Huijuan Xia, Kerong Zhang, Quanfa Zhang
{"title":"National Forest Restoration Projects in China: Cost-Efficiency, and Trade-Off Between Carbon Sequestration and Water Consumption","authors":"Jiehao Zhang,&nbsp;Yulong Zhang,&nbsp;Xia Wang,&nbsp;Tiehu He,&nbsp;Huijuan Xia,&nbsp;Kerong Zhang,&nbsp;Quanfa Zhang","doi":"10.1029/2024EF004976","DOIUrl":"https://doi.org/10.1029/2024EF004976","url":null,"abstract":"<p>International initiatives, such as the Bonn Challenge, Trillion Tree Campaign, New York Declaration on Forests, and United Nations Decade on Ecosystem Restoration, have set ambitious targets for forest restoration. However, the effectiveness and cost-efficiency of large-scale forest restoration projects (FRP) in different climatic zones, and the trade-off between carbon sequestration and water consumption caused by FRP are poorly understood. Here, we conducted a comprehensive examination of 2,778 counties in China, where the world's most ambitious FRP was executed during the past two decades. Results showed that, on average, each square kilometer of FRP yielded an additional 0.6 square kilometers of forests and contributed an extra 1354.9 tC to forest carbon storage, with the aridity index emerging as a key influencer. The actual expenditure incurred per ton of increased forest carbon storage amounted to approximately 118.9 USD in average, with the lowest in Southwest at 50.9 USD. The expansion of forest cover and enhanced biomass storage led to a notable increase in water consumption, and the trade-off was particularly pronounced in arid regions. Our study provides empirical evidence that FRP is an effective and cost-efficient climate change mitigation strategy for humid climate zones under current carbon prices. However, FRP is not cost-efficient in semi-arid and arid regions. These findings have significant implications for global forest restoration endeavors and formulating sound climate change mitigation policies.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF004976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142869000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Pan-Arctic Assessment of Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea-Level Rise, and Permafrost Thaw
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-16 DOI: 10.1029/2024EF005013
Rodrigue Tanguy, Annett Bartsch, Ingmar Nitze, Anna Irrgang, Pia Petzold, Barbara Widhalm, Clemens von Baeckmann, Julia Boike, Julia Martin, Aleksandra Efimova, Gonçalo Vieira, Dustin Whalen, Birgit Heim, Mareike Wieczorek, Guido Grosse
{"title":"Pan-Arctic Assessment of Coastal Settlements and Infrastructure Vulnerable to Coastal Erosion, Sea-Level Rise, and Permafrost Thaw","authors":"Rodrigue Tanguy,&nbsp;Annett Bartsch,&nbsp;Ingmar Nitze,&nbsp;Anna Irrgang,&nbsp;Pia Petzold,&nbsp;Barbara Widhalm,&nbsp;Clemens von Baeckmann,&nbsp;Julia Boike,&nbsp;Julia Martin,&nbsp;Aleksandra Efimova,&nbsp;Gonçalo Vieira,&nbsp;Dustin Whalen,&nbsp;Birgit Heim,&nbsp;Mareike Wieczorek,&nbsp;Guido Grosse","doi":"10.1029/2024EF005013","DOIUrl":"https://doi.org/10.1029/2024EF005013","url":null,"abstract":"<p>This study assesses the vulnerability of Arctic coastal settlements and infrastructure to coastal erosion, Sea-Level Rise (SLR) and permafrost warming. For the first time, we characterize coastline retreat consistently along permafrost coastal settlements at the regional scale for the Northern Hemisphere. We provide a new method to automatically derive long-term coastline change rates for permafrost coasts. In addition, we identify the total number of coastal settlements and associated infrastructure that could be threatened by marine and terrestrial changes using remote sensing techniques. We extended the Arctic Coastal Infrastructure data set (SACHI) to include road types, airstrips, and artificial water reservoirs. The analysis of coastline, Ground Temperature (GT) and Active Layer Thickness (ALT) changes from 2000 to 2020, in addition with SLR projection, allowed to identify exposed settlements and infrastructure for 2030, 2050, and 2100. We validated the SACHI-v2, GT and ALT data sets through comparisons with in-situ data. 60% of the detected infrastructure is built on low-lying coast (<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mo>&lt;</mo>\u0000 </mrow>\u0000 <annotation> ${&lt; } $</annotation>\u0000 </semantics></math>10 m a.s.l). The results show that in 2100, 45% of all coastal settlements will be affected by SLR and 21% by coastal erosion. On average, coastal permafrost GT is increasing by 0.8°C per decade, and ALT is increasing by 6 cm per decade. In 2100, GT will become positive at 77% of the built infrastructure area. Our results highlight the circumpolar and international amplitude of the problem and emphasize the need for immediate adaptation measures to current and future environmental changes to counteract a deterioration of living conditions and ensure infrastructure sustainability.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005013","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Climate Warming Will Exacerbate Unequal Exposure to Compound Flood-Heatwave Extremes
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-11 DOI: 10.1029/2024EF005179
Qikang Zhao, Liang Gao, Qingyan Meng, Mingming Zhu
{"title":"Climate Warming Will Exacerbate Unequal Exposure to Compound Flood-Heatwave Extremes","authors":"Qikang Zhao,&nbsp;Liang Gao,&nbsp;Qingyan Meng,&nbsp;Mingming Zhu","doi":"10.1029/2024EF005179","DOIUrl":"https://doi.org/10.1029/2024EF005179","url":null,"abstract":"<p>Compound flood-heatwave extremes (CFHWs) have threatened the sustainable development of human society and ecosystems. However, the disproportionate risks in regions with different economic development under a warming climate have not been quantified. This study carries out a global investigation on the future CFHWs under three scenarios based on 11 models from the Coupled Model Intercomparison Project Phase 6 (CMIP6). Results reveal a 7.5-fold increase in global annual CFHW days by 2100 under the intermediate greenhouse-gas-emission scenario SSP2-4.5 compared to that in 1980. Under SSP2-4.5, population exposure in low-income countries in the late future (2071–2090) will be about 9-fold higher than in high-income countries compared to baseline period (1995–2014). Moreover, exposure of the poor groups living on less than $6.85/day will increase by nearly 28.1-fold. Eastern Africa and South Asia are identified as particularly high-risk regions, where large populations living in poverty face rapidly increasing CFHWs. These findings indicate that climate inequality will become more pronounced if climate warming continues without immediate effective measures. Our study also underscores the urgent need for mitigation and adaptation strategies against the future increasing CFHWs, especially for the vast low-income and high-risk regions.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005179","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860845","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Improving GCM-Based Decadal Ocean Carbon Flux Predictions Using Observationally-Constrained Statistical Models
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-11 DOI: 10.1029/2023EF004204
P. Gooya, N. C. Swart, P. Landschützer
{"title":"Improving GCM-Based Decadal Ocean Carbon Flux Predictions Using Observationally-Constrained Statistical Models","authors":"P. Gooya,&nbsp;N. C. Swart,&nbsp;P. Landschützer","doi":"10.1029/2023EF004204","DOIUrl":"https://doi.org/10.1029/2023EF004204","url":null,"abstract":"<p>An essential step toward meeting agreed climate targets and policies is the ability to understand and predict near-term changes in global carbon cycle, and importantly, ocean carbon uptake. Initialized climate model simulations have proven skillful for near-term predictability of the key physical climate variables, for example, temperature, precipitation, etc. By comparison, predictions of biogeochemical fields like ocean carbon flux, are still emerging. Initial studies indicate skillful predictions are possible for lead-times up to 6 years at global scale for some CMIP6 models. However, unlike core physical variables, biogeochemical variables are not directly initialized in existing decadal prediction systems, and extensive empirical parametrization of ocean-biogeochemistry in Earth System Models introduces a significant source of uncertainty. Here we propose a new approach for improving the skill of decadal ocean carbon flux predictions using observationally-constrained statistical models, as alternatives to the ocean-biogeochemistry models. We use observations to train multi-linear and neural-network models to predict the ocean carbon flux. To account for observational uncertainties, we train using six different observational estimates of the flux. We then apply these trained statistical models using input predictors from the Canadian Earth System Model (CanESM5) decadal prediction system to produce new decadal predictions. Our hybrid GCM-statistical approach significantly improves prediction skill, relative to the raw CanESM5 hindcast predictions over 1990–2019. Our hybrid-model skill is also larger than that obtained by any available CMIP6 model. Using bias-corrected CanESM5 predictors, we make forecasts for ocean carbon flux over 2020–2029. Both statistical models predict increases in the ocean carbon flux larger than the changes predicted from CanESM5 forecasts. Our work highlights the ability to improve decadal ocean carbon flux predictions by using observationally-trained statistical models together with robust input predictors from GCM-based decadal predictions.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023EF004204","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860846","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","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 Green Development of Industrial Parks on the Reduction of Carbon Emissions in Urban Areas—Empirical Research on Green Industrial Parks in China
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-11 DOI: 10.1029/2024EF005161
Xiang Yu, Wentao Hu, Mudan Wang
{"title":"The Impact of Green Development of Industrial Parks on the Reduction of Carbon Emissions in Urban Areas—Empirical Research on Green Industrial Parks in China","authors":"Xiang Yu,&nbsp;Wentao Hu,&nbsp;Mudan Wang","doi":"10.1029/2024EF005161","DOIUrl":"https://doi.org/10.1029/2024EF005161","url":null,"abstract":"<p>China has over 2,500 national and provincial industrial parks, stimulating the economics growth, meanwhile being the primary sources of carbon dioxide emissions and other pollutants. Assessing the mechanisms and impacts of the policies of pilot programs of green industrial parks on urban carbon emissions offers critical insights into the efficacy and application of green and low-carbon development. This study utilizes a staggered difference-in-differences model to examine the impact of green industrial park pilot policies. The results demonstrate that green industrial parks have effectively reduced carbon emissions of the studied counties in terms of total and intensity. The economic scales and the administrative levels of any given city significantly influence the implementation effect of green industrial park policy. In applying the green industrial park policy, reducing the carbon emissions is more pronounced in cities with larger economic scales and higher administrative levels. Environmental regulation policies and green industrial park pilot policies exhibit a certain degree of substitution effect. The green industrial parks drive urban carbon emission reduction through three main channels: enhancing green technologies, optimizing industrial structures, and elevating economic agglomeration levels. Overall, this study provides a new perspective, a methodological reference, and empirical evidence for promoting green and low-carbon development for industrial parks in the different regions and developing countries.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005161","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Fusion of Probabilistic Projections of Sea-Level Rise
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-11 DOI: 10.1029/2024EF005295
Benjamin S. Grandey, Justin Dauwels, Zhi Yang Koh, Benjamin P. Horton, Lock Yue Chew
{"title":"Fusion of Probabilistic Projections of Sea-Level Rise","authors":"Benjamin S. Grandey,&nbsp;Justin Dauwels,&nbsp;Zhi Yang Koh,&nbsp;Benjamin P. Horton,&nbsp;Lock Yue Chew","doi":"10.1029/2024EF005295","DOIUrl":"https://doi.org/10.1029/2024EF005295","url":null,"abstract":"<p>A probabilistic projection of sea-level rise uses a probability distribution to represent scientific uncertainty. However, alternative probabilistic projections of sea-level rise differ markedly, revealing ambiguity, which poses a challenge to scientific assessment and decision-making. To address the challenge of ambiguity, we propose a new approach to quantify a best estimate of the scientific uncertainty associated with sea-level rise. Our proposed fusion combines the complementary strengths of the ice sheet models and expert elicitations that were used in the Sixth Assessment Report (AR6) of the Intergovernmental Panel on Climate Change (IPCC). Under a low-emissions scenario, the fusion's <i>very likely</i> range (5th–95th percentiles) of global mean sea-level rise is 0.3–1.0 m by 2100. Under a high-emissions scenario, the <i>very likely</i> range is 0.5–1.9 m. The 95th percentile projection of 1.9 m can inform a high-end storyline, supporting decision-making for activities with low uncertainty tolerance. By quantifying a best estimate of scientific uncertainty, the fusion caters to diverse users.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005295","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Future Pathways of Water, Energy, and Food in the Eastern Nile Basin
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-06 DOI: 10.1029/2023EF003979
Ahmed Abdelkader, Amin Elshorbagy, Mohamed Elshamy, Howard Wheater
{"title":"Future Pathways of Water, Energy, and Food in the Eastern Nile Basin","authors":"Ahmed Abdelkader,&nbsp;Amin Elshorbagy,&nbsp;Mohamed Elshamy,&nbsp;Howard Wheater","doi":"10.1029/2023EF003979","DOIUrl":"https://doi.org/10.1029/2023EF003979","url":null,"abstract":"<p>The Eastern Nile Basin (ENB) countries of Egypt, Sudan, South Sudan, and Ethiopia are subject to pronounced water, energy, and food (WEF) insecurity. There is a need to manage the WEF nexus to meet rapidly increasing demands, but this is extremely challenging due to resource scarcity and climate change. If countries that rely on shared transboundary water resources have contradictory WEF plans, that could diminish the expected outcomes, both nationally and regionally. Egypt as the most downstream Nile country is concerned about ongoing and future developments upstream, which could exacerbate Egypt's water scarcity and affect its ability to meet its WEF objectives. In this context, we introduce a multi-model WEF framework that simulates the ENB water resources, food production, and hydropower generation systems. The models were calibrated and validated for the period 1983–2016, then utilized to project a wide range of future development plans, up to 2050, using four performance measures to evaluate the WEF nexus. A thematic pathway for regional development that shows high potential for mutual benefits is identified. However, the WEF planning outcomes for the region are sensitive to climate change, but, if social drivers could be managed (e.g., by lowering population growth rates) despite the difficulties involved, climate change impacts on WEF security could be less severe.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"12 12","pages":""},"PeriodicalIF":7.3,"publicationDate":"2024-12-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023EF003979","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Earthquake Iso-Nuisance and Iso-Damage Mapping for Alberta: Applications for Choosing Magnitude Thresholds to Manage Induced Seismicity
IF 7.3 1区 地球科学
Earths Future Pub Date : 2024-12-05 DOI: 10.1029/2024EF004985
Mauricio Reyes Canales, Elwyn Galloway, Steven Pawley, Javad Yusifbayov, Greg Hartman
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