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Northern mires are significant natural sources of atmospheric methane (CH4), yet estimating CH4 emissions remains challenging due to their complex spatio-temporal dynamics. While eddy covariance (EC) measurements provide valuable insights into ecosystem-scale CH4 fluxes (FCH4) over mire areas typically < 0.05 km², the predictability of FCH4 at the mesoscale (∼0.5 – 20 km²) of a mire complex based

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Rewetting is widely promoted as a climate mitigation strategy to preserve soil carbon in drained wetlands, although rewetting may enhance methane production and corresponding emissions. The increase in methane emissions following rewetting might be underestimated without considering near-surface methane oxidation under a fluctuating water table. Here, we refined the methane module in Lund-Potsdam-

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Coastal port cities are key regions for carbon emissions (CEs) research in China, due to their industrial density, frequent transportation, and diverse human activities. Taking Ningbo City as a case study, this study employed a top-down accounting method and integrated multiple sources of geospatial data to reveal the spatiotemporal distribution characteristics of CEs from four sectors, including

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Global warming accelerates the breakdown of carbon stored in permafrost regions, releasing it into the atmosphere and amplifying climate change, particularly during winter when photosynthesis ceases. The Northern Hemisphere's permafrost is primarily concentrated in two key regions — the Arctic and the Tibetan Plateau — each with distinct environmental characteristics. However, previous studies oft

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Atmospheric vapor pressure deficit (VPD) is a key climatic factor that influences vegetation productivity and the global carbon cycle. With ongoing climate warming, VPD has been rising globally. However, the effects of this increase on gross primary production (GPP), especially under different driving mechanisms, remain unclear. This uncertainty limits our ability to predict terrestrial ecosystem

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Addressing global water crises demands effective communication across diverse audiences, especially in initiatives such as the scientific decade HELPING by the International Association of Hydrological Sciences (IAHS). This study synthesizes insights from the hydrological community, gathered through interviews, workshops and a digital survey. We identify key challenges and best practices across th

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Forests are integral to the global carbon cycle, acting as major carbon sinks, though their capacity can be altered by climate and land use changes. India has a diverse forest ecosystem, but the dynamics and changes in its carbon stocks under a changing climate are not well understood. This study investigates the regional and temporal changes in vegetation carbon biomass (VCB) within Indian forest

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Highlights: What are the main findings? A ~32-year aridity cycle is detected across China through Fourier spectrum analysis of 1950–2022 aridity data. An arid–humid climate divide is revealed by entropy-based climate stability indicators. Recent remote sensing data show a nationwide expansion of surface water bodies and localized groundwater recovery. What are the implications of the main findings

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Relaxed eddy accumulation (REA) measurements for 14CO2 enable the estimation of fossil fuel (ff) CO2 fluxes in urban areas. This work is based on 252 REA ffCO2 flux measurements conducted on tall towers in the cities of Zurich, Paris, and Munich. The ffCO2 fluxes were compared to net eddy covariance CO2 fluxes to quantify the role of non-fossil (nf) CO2 fluxes. While the measurements in Zurich and

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The lack of energy balance closure in Eddy-Covariance (EC) measurements is a well-known, still unresolved challenge in micrometeorology, with energy balance closure (EBC) rates typically ranging between 60% and 80%. While numerous hypotheses have been proposed to explain this imbalance, the relative contributions of neglected energy storage terms, data quality and flux processing options remain in

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Wind energy is an important form of clean energy, and its rational utilization represents a crucial solution for mitigating the energy crisis and global warming. In this study, wind energy potential and its long-term changes in the South China Sea (SCS) are evaluated using ERA5 100 m wind data from 1944 to 2023, validated against ASCAT observations. High wind speeds and high wind power density (WP

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Accurate forest aboveground biomass (AGB) estimation across heterogeneous subtropical regions is essential for carbon accounting and climate change mitigation. We developed XGBoost and random forest models using GEDI L4A Lidar samples and multi-source remote sensing features (Sentinel-1/2, topography) to predict AGB in Xijiang Forest Farm (Guangdong) and transferred them to Simao District (Yunnan)

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Understanding the spatiotemporal dynamics of dissolved organic carbon (DOC) is essential for predicting aquatic carbon fluxes and managing water quality in boreal catchments. Traditional DOC modelling approaches are limited in their ability to represent seasonal dynamics, event-driven responses, and riparian-zone contributions. Here, we evaluate the performance of the Krycklan-HYPE model in simula

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Monitoring atmospheric CO2 concentration changes across China is crucial for reducing carbon emissions and tackling global warming. Due to monitoring gap in satellite observations, this paper uses the Extremely Randomized Trees (ERT) model alongside OCO-2 satellite data and predictor variables to develop a 0.1° high-resolution monthly dataset of column-averaged dry air CO2 mole fraction (XCO2) in

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Environmental changes and their effects are among the most pressing topics of today's ecological research. Shrublands, although widespread across the globe, remain understudied in this respect. We conducted a global meta-analysis of 81 shrubland sites subjected to experimental warming, shifts in precipitation (e.g. increased precipitation and drought), and nitrogen addition to quantify seven types

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Avoiding severe global warming requires large-scale removals of atmospheric carbon dioxide. Forest regeneration offers cost-effective carbon removals, but annual rates vary substantially by location and forest age. Here we generate grid-level (~1-km2) growth curves for aboveground live carbon in naturally regrowing forests by combining 109,708 field estimates with 66 environmental covariates. Acro

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Quantifying the spatial and temporal patterns of drought characteristics is crucial, given the increasing frequency and intensity of drought events over the past 20 years in China. However, the patterns of drought frequency and duration in different regions and their differences remain unclear. Traditional indices for detecting and quantifying droughts, such as the Standardized Precipitation Evapo

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To further understand the inter-relationship of the familial transmission of major depression (MD) and alcohol use disorder (AUD), we examine, via a multivariable Cox proportional hazards model, risks for AUD and MD in 1,244,516 individuals born in Sweden from 1970 to 1990 to intact mother-father pairs as a function of parental diagnoses of MD and/or AUD. Across the nine possible mating types, we

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Aim: This study investigated how human activities and local environmental variables shape tree assemblages (species composition in a defined location), comparing their effects on edible and inedible tree species. Three hypotheses were tested: (1) Environmental filtering impacts spatial beta-diversity more than dispersal limitation; (2) human activities significantly influence regional tree beta-di