Earths FuturePub Date : 2025-06-03DOI: 10.1029/2025EF005976
Jing Wang, Weiqi Zhou, Timon McPhearson, Elizabeth M. Cook, Pablo Herreros-Cantis, Jing Liu
{"title":"Socio-Ecological Impacts of the Investment of Urban Nature in Heat Mitigation for Two Megacities","authors":"Jing Wang, Weiqi Zhou, Timon McPhearson, Elizabeth M. Cook, Pablo Herreros-Cantis, Jing Liu","doi":"10.1029/2025EF005976","DOIUrl":"https://doi.org/10.1029/2025EF005976","url":null,"abstract":"<p>Cities are increasingly adapting green interventions meant to enhance climate resilience, given their capacity to provide numerous ecosystem services (ES). Yet, little is known about ecological and social impacts of such interventions in the context of socio-ecological framework and environmental justice. Here, we used a quantitative and spatial analytical approach to assess the changes of urban greenspace (UG) and examine the equity of changes in ES supply and demand across demographic and socioeconomic groups in Beijing and NYC between 2010 and 2017. Results showed that previously existing green space and its expansion were unevenly distributed across districts. High-income districts in NYC had high green cover and experienced the highest increase of UG, in contrast to high green cover in areas with low population density and the greatest increase of UG in high-income areas for Beijing, respectively. The inequitable distribution of UG resulted in a high level of mismatch in supply demand of ES, revealing a pattern of distributional ecological injustice within city. We also found more ecological supply was provided in the areas having less vulnerability, indicating that social vulnerability remained in a lower greenspace exposure after greening implementation in both cities. Our study contributes to a better understanding on how the dynamics of urban greenspace impact urban climate injustices, and provides new insights for critical urban adaptation interventions or practice on shaping ecological injustice.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025EF005976","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197213","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}
Earths FuturePub Date : 2025-06-03DOI: 10.1029/2025EF005987
Xiaoqing Peng, Xuanjia Li, Rong Wang, Oliver W. Frauenfeld, Hengxing Luo, Panpan Wang, Chen Yang, Gubu Qiumo
{"title":"Warming From Land Use and Land Cover Change Associated With Economic Growth in the Permafrost Regions of the Northern Hemisphere","authors":"Xiaoqing Peng, Xuanjia Li, Rong Wang, Oliver W. Frauenfeld, Hengxing Luo, Panpan Wang, Chen Yang, Gubu Qiumo","doi":"10.1029/2025EF005987","DOIUrl":"https://doi.org/10.1029/2025EF005987","url":null,"abstract":"<p>Climate warming has resulted in permafrost degradation, leading to land use and land cover changes (LULCC). However, the impacts of LULCC on permafrost and local economies has not been quantified. Here, we analyze air and soil temperatures with gross domestic product per capita as associated with the biogeophysical and biogeochemical effects of LULCC using the CMIP6 experiments and a temperature-growth rate equation. Air temperature increased by 0.04 K due to biogeophysical processes and 0.23 K from biogeochemical processes, with corresponding soil temperature rises of 0.05 and 0.20 K, respectively. Warming from LULCC is accelerating and could result in economic growth, with a cumulative increase in gross domestic product per capita of $24,000 from biogeophysical effects, and about $470,000 from biogeochemical effects for 1995–2014. Additionally, spatial economic growth patterns indicate increases from south to north, with decreasing economic inequality. These findings could benefit the development or management policies of the future.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025EF005987","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144197318","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}
{"title":"Crop Model Ensemble Averaging: A Large But Underappreciated Uncertainty Source for Global Crop Yield Projections Under Climate Change","authors":"Xiaomeng Yin, Guoyong Leng, Jiali Qiu, Xiaoyong Liao, Shengzhi Huang, Jian Peng","doi":"10.1029/2024EF005900","DOIUrl":"https://doi.org/10.1029/2024EF005900","url":null,"abstract":"<p>Using an ensemble of crop models have been encouraged for global crop yield projections, which would, however, introduce additional uncertainty from the choice of ensemble averaging methods. Here, we use seven ensemble averaging methods including simple average, regression, Support Vector Regressor, Bayesian model average (BMA), Random Forest (RF), Artificial neural network (ANN) and Long-short term memory to derive the ensemble mean of eight process-based crop models for global maize yield projections. Results show that the choice of ensemble averaging methods has a large impact on the projection of long-term mean yield and year-to-year yield variability, with a range of −19.79%–16.62% and −47.92%–55.39% for the globe, respectively. Regionally, the largest uncertainties from the choice of ensemble averaging methods are observed in Indonesia and Canada. Further uncertainty decomposition analysis shows that ensemble averaging methods contributes to 39%–87% of total uncertainties for global yield projections, which is even higher than climate models. These results imply that although using an ensemble of crop models is valuable for informing risk-based policy-makings, how we choose to combine and derive the best estimates of crop model ensembles has large influence on the assessment outcomes. This study highlights an important but not well recognized uncertainty source for global yield predictions which arises from the choice of ensemble averaging methods.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005900","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179014","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}
Earths FuturePub Date : 2025-05-31DOI: 10.1029/2024EF005467
Md Yunus Naseri, Grant Bernosky, Peter W. Mayer, Landon T. Marston
{"title":"Patterns and Predictors of Residential Indoor Water Use Across Major US Cities","authors":"Md Yunus Naseri, Grant Bernosky, Peter W. Mayer, Landon T. Marston","doi":"10.1029/2024EF005467","DOIUrl":"https://doi.org/10.1029/2024EF005467","url":null,"abstract":"<p>This study investigates residential indoor water consumption variability across 39 US cities using data from 26,441 single-family smart water meters. Employing functional data analysis and mixed-effects random forest, we identified distinct usage patterns across city clusters, with 13 high and 6 low water-using cities (all in coastal California) differing significantly from 20 medium water-using cities. Shower and toilet use were primary drivers of indoor use differences between clusters, influenced by both behavioral and fixture efficiency factors. The presence of appliances, certain household features, and weather also affect indoor water use, with varying influence on indoor water use across clusters. Our findings highlight the effectiveness of state-level water efficiency interventions and emphasize the importance of considering both behavioral factors and appliance efficiency in conservation strategies, providing valuable insights for targeted water demand management in urban areas.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005467","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144185886","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}
Earths FuturePub Date : 2025-05-31DOI: 10.1029/2024EF005335
Nicholas Cohn, Dylan Anderson
{"title":"Projecting the Longevity of Coastal Foredunes Under Stochastic Meteorological and Oceanographic Forcing","authors":"Nicholas Cohn, Dylan Anderson","doi":"10.1029/2024EF005335","DOIUrl":"https://doi.org/10.1029/2024EF005335","url":null,"abstract":"<p>Coastal foredunes serve as a critical buffer between the ocean and beach-adjacent infrastructure, yet these features are at increasing risk of destruction from future storms and changes in sea level. Quantifying potential future hazards to dunes, which are influenced by both erosional wave-driven and accretional wind-driven processes, is complicated by an inability to forecast the exact sequencing and magnitude of future oceanographic and meteorological forcings. Here we use a stochastic weather emulator capable of generating time series of wind and wave properties to force a reduced complexity morphologic model to assess potential accretional and erosional dune volume changes over the next century. Stable beaches with low shoreline change rates are predicted to have net accretional dunes over the next century on average. Inclusion of background beach erosion rates and sea level changes instead drives more frequent net volumetric dune erosion. At decadal scales, volume changes of the dune are shown to be dominated by the magnitude of shoreline change rate in locations that are rapidly retreating. For stable and mildly eroding shorelines (<<span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mspace></mspace>\u0000 <mo>∼</mo>\u0000 </mrow>\u0000 <annotation> $ sim $</annotation>\u0000 </semantics></math> −0.3 m/yr), both shoreline changes and changes in the still water level influence timescales of dune destruction. Sets of probabilistic simulations are used to show that gradual wind-driven sediment gains can compensate for episodic wave-driven losses over the long term. However, in the case of higher sea levels, more frequent dune collision results in less time for dune recovery in between major storms in which case tipping points in future dune states can occur.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005335","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179013","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}
Earths FuturePub Date : 2025-05-31DOI: 10.1029/2024EF005564
Lifeng Zhang, Daniel R. Schlaepfer, Zhiguang Chen, Zhongkuan Liu, Zhenyu Liu, Song Gu, William K. Lauenroth
{"title":"Assessing Water Source Stability in the Three River Source Region: A Comprehensive 35-Year Analysis","authors":"Lifeng Zhang, Daniel R. Schlaepfer, Zhiguang Chen, Zhongkuan Liu, Zhenyu Liu, Song Gu, William K. Lauenroth","doi":"10.1029/2024EF005564","DOIUrl":"https://doi.org/10.1029/2024EF005564","url":null,"abstract":"<p>Terrestrial ecosystem water balance refers to the state between precipitation inputs, and outputs via evapotranspiration, groundwater recharge and runoff. The Three River Source Region (TRSR) is known as the “water tower of Asia” and is an important water source region for much of southeast Asia. Spatial and temporal distributions of water balance across the TRSR have been affected by recent changing climatic conditions. However, the status and variation of water balance under the influence of environmental factors remain unclear. We employed SOILWAT2, a daily time step ecosystem water model, along with 35 years of climate data from 29 meteorological stations to characterize the hydrological dynamics of the region. Our results revealed that 15 of the sites exhibited evidence of a net water source (precipitation > actual evapotranspiration) between 1981 and 2015. These stations were predominantly located at intermediate elevations (3,400–4,100 m) and low latitudes (<34°N), while stations at lower and higher elevations as well as higher latitudes were not sources because of moisture limitations by a dry climate. In contrast to a strong spatial pattern, we found no obvious temporal trend of the net water source. The interannual and seasonal variability of the net water source is dependent on the temporal fluctuations in potential evapotranspiration and precipitation. We therefore conclude that there is an elevation and latitude dominated spatial pattern of the water balance on the TRSR, with important implications for the availability of water resources.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005564","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144179011","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}
Earths FuturePub Date : 2025-05-29DOI: 10.1029/2024EF005770
Ethan D. Coffel
{"title":"More Distinct Dry and Humid Heat in a Warming World","authors":"Ethan D. Coffel","doi":"10.1029/2024EF005770","DOIUrl":"https://doi.org/10.1029/2024EF005770","url":null,"abstract":"<p>The impacts of extreme heat events depend on the concurrent humidity level. Hot and dry conditions harm crops and vegetation, while hot and humid conditions are particularly dangerous for human health. Whether a place tends to experience heat waves that are hot and dry, hot and wet, or both, depends on the local correlation between temperature and humidity. This paper uses reanalysis, observational data, and climate models to show that the global temperature-humidity correlation has steadily declined since 1981 at a somewhat faster rate than climate models simulate. This decline in the temperature-humidity correlation has occurred because humidity is increasing less quickly (or decreasing) on days with high dry-bulb temperatures as compared to days with high wet-bulb temperatures. The relative drying of hot and dry days is associated with those days warming faster than hot and humid days. Overall, the decline in the temperature-humidity correlation has exacerbated the risk from hot and dry conditions while slightly slowing increases in hot and humid conditions.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005770","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171512","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}
{"title":"The Biomass Carbon Sequestration Potential in China's Drylands","authors":"Zimin Tan, Shuai Wang, Fangli Wei, Changjia Li, Fengyu Fu, Lixin Wang","doi":"10.1029/2025EF006022","DOIUrl":"https://doi.org/10.1029/2025EF006022","url":null,"abstract":"<p>Drylands are important carbon pools for climate change mitigation but remain highly vulnerable to climate and anthropogenic pressures. Despite China hosting one of the largest dryland areas globally, limited studies have quantified its biomass carbon storage and sequestration potential. Here, we divided China's drylands into ecological types and climate zones and employed random forest models to estimate biomass carbon carrying capacity and carbon sequestration potential. The results showed that the carrying capacity of China's drylands is 7.1 Pg C, with ∼4.1 Pg C (∼58%) already stored and an additional 3 Pg C potentially sequesterable. Regions with the highest carbon sequestration potential are concentrated in the eastern part of Inner Mongolia, the Northeast China, the northern part of Xinjiang, and the Huang-huai-hai region. Forests showed the highest total carbon carrying capacity (4.2 Pg C) and carbon sequestration potential (2.1 Pg C), followed by grasslands with a carbon carrying capacity of 2.7 Pg C and sequestration potential of 1.6 Pg C. Carbon sequestration thresholds varied across land use change types and aridity gradients. The identified hotspots in our study where vegetation has not yet reached its full potential should be the main target of future restoration projects. It should be noted that these estimates are based on historical climate conditions and land cover patterns, and may vary under future climate change and land use transitions. Therefore, these figures should be interpreted as conditional estimates, reflecting the limitations of using static climatic baselines.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025EF006022","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144171511","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}
Earths FuturePub Date : 2025-05-28DOI: 10.1029/2024EF005597
M. Inês Cajada, Seok-Woo Son, Jaeyoung Hwang, Hyo-Seok Park, Soon-Il An
{"title":"Regionally-Dependent Arctic Sea Ice Recovery to CO2 Removal","authors":"M. Inês Cajada, Seok-Woo Son, Jaeyoung Hwang, Hyo-Seok Park, Soon-Il An","doi":"10.1029/2024EF005597","DOIUrl":"https://doi.org/10.1029/2024EF005597","url":null,"abstract":"<p>The decline of Arctic sea ice area (SIA) has accelerated in recent decades and is projected to continue in a warming climate. This trend can be reversed by reducing atmospheric CO<sub>2</sub> concentrations. A large-ensemble model experiment, in which atmospheric CO<sub>2</sub> concentrations are quadrupled and then reduced to the initial state, shows an overall recovery of Arctic SIA by CO<sub>2</sub> removal, but at a slower rate than its decline to CO<sub>2</sub> increase. The exception is the North Atlantic, where SIA increases rapidly with decreasing CO<sub>2</sub> concentrations. The under-recovery of Central Arctic SIA can be attributed to a slow decrease in Arctic ocean heat storage, due to a lagged ocean cooling and heat transport, and enhanced downward longwave radiation in the Arctic atmosphere, partly due to frequent atmospheric rivers across the Arctic Circle. In contrast, the over-recovery of North Atlantic SIA is primarily attributed to weakened ocean heat transport by a delayed recovery of the Atlantic Meridional Overturning Circulation (AMOC). This over-recovery is shown to be model dependent, following each model's AMOC change. Full recovery of Arctic SIA takes over 300 years after CO<sub>2</sub> removal. This result suggests that the response of Arctic sea ice to CO<sub>2</sub> removal may be spatially inhomogeneous, with different impacts on regional climate, potentially affecting the climate of the Northern Hemisphere mid-latitudes.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 6","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005597","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144148295","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}
Earths FuturePub Date : 2025-05-20DOI: 10.1029/2024EF005497
Dipesh Singh Chuphal, Iqura Malik, Rajesh Singh, Gayathri Vangala, M. Niranjannaik, Urmin Vegad, Nandana Dilip K, Parthasarathi Mukhopadhyay, J. P. Selvan, Vivek Kapadia, Vimal Mishra
{"title":"Multi-Day Extreme Precipitation Caused Major Floods in India During Summer Monsoon of 2024","authors":"Dipesh Singh Chuphal, Iqura Malik, Rajesh Singh, Gayathri Vangala, M. Niranjannaik, Urmin Vegad, Nandana Dilip K, Parthasarathi Mukhopadhyay, J. P. Selvan, Vivek Kapadia, Vimal Mishra","doi":"10.1029/2024EF005497","DOIUrl":"https://doi.org/10.1029/2024EF005497","url":null,"abstract":"<p>The risk of extreme precipitation and flooding has increased in India due to climate change. During the 2024 summer monsoon season, three major extreme precipitation events occurred across the western, southern, and northern states of India, leading to widespread flooding in these regions. We examine the causes and impacts of extreme precipitation and flood events using a combination of observational data, reanalysis data sets, and hydrological models. In all the three regions, extreme rainfall occurred immediately after multiday continuous precipitation, resulting in catastrophic flooding. The 3-day extreme precipitation that caused flooding in the three regions had return periods of more than 75 years, 100 years, and 200 years, respectively. The primary moisture sources for the Gujarat floods were the Arabian Sea and the Indian Ocean, while the floods in Andhra Pradesh and Telangana were mainly sourced by the Bay of Bengal. For the floods in northern India, the dominant moisture sources were recycled land moisture and moisture transport from the Bay of Bengal. These moisture inflows, coupled with favorable atmospheric conditions, resulted in multiday extreme precipitation in the three regions. Saturated soil moisture conditions before the extreme precipitation contributed to high runoff, triggering extensive flooding in all the three regions. Our findings highlight the growing challenge of managing such extreme events as their frequency and intensity are projected to increase under a warming climate.</p>","PeriodicalId":48748,"journal":{"name":"Earths Future","volume":"13 5","pages":""},"PeriodicalIF":7.3,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EF005497","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144100774","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}