Spatial Complex Correlation Characteristics of Carbon Emissions and Carbon Transboundary Transfer: Assessment of the Carbon Footprint in Four Mega-Urban Agglomerations in China

Опубликована: Янв. 1, 2025

Язык: Английский

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Vegetation Carbon Source/Sink Dynamics and Extreme Climate Response in the Yangtze River Delta Coastal Zone

Sustainability, Год журнала: 2025, Номер 17(4), С. 1456 - 1456

Опубликована: Фев. 11, 2025

Coastal zones, as transition areas for sea/land interaction, have substantial carbon sequestration potential while also being particularly vulnerable to extreme climate. Consequently, it has become essential evaluate the vegetation sinks in coastal zone under climate conditions. In this study, we evaluated net ecosystem productivity (NEP) typical regions within Yangtze River Delta from 2000 2020. We studied regional and chronological properties of NEP its response The results revealed following: (1) Vegetation demonstrated a fluctuating rising trend over past 21 years, with an interannual change rate 1.96 gC·m−2·a−1, 21-year average was 249.22 gC·m−2·a−1. Spatially, southern part region had higher than northern part, central part. (2) overall area showed characteristics sink, sink accounting 82.41%. Among ecosystems, forest ecosystems exhibited strongest capacity, followed by cropland wetland urban grassland relatively weaker capacities. (3) spatial upward trend, consistent temporal trend. There is high risk degradation future. (4) NEP’s temperature more pronounced. largest explanatory power observed SU25 TMAX during single-factor analysis. interaction analysis found following three factor groups: R99p∩TMAX, SU25∩TNx, TXx∩LST. highlight complex synergistic interplay among these influences on NEP. findings offer scientific basis ecological protection attainment dual-carbon goals Delta.

Язык: Английский

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Spatiotemporal changes and driving mechanism of ecosystem carbon sink in karst peak cluster depression basin in Southwest Guangxi based on the interaction of “water-rock-soil-air-biology”

Ecological Informatics, Год журнала: 2024, Номер 83, С. 102800 - 102800

Опубликована: Авг. 30, 2024

Язык: Английский

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Global Spatial Projections of Forest Soil Respiration and Associated Uncertainties

Forests, Год журнала: 2024, Номер 15(11), С. 1982 - 1982

Опубликована: Ноя. 10, 2024

The accurate prediction of global forest soil respiration (Rs) is critical for climate change research. Rs consists autotrophic (Ra) and heterotrophic (Rh) respiration, which respond differently to environmental factors. Predicting as a single flux can be biased; therefore, Ra Rh should predicted separately improve accuracy. In this study, we used the SRDB_V5 database random model analyze uncertainty in predicting using (SGM) Ra/Rh specific categorical (SCM) spatial dynamics distribution pattern Ra, Rh, future under two different patterns. results show that higher tropical inland climatic conditions, while fluctuates less than Rs. addition, SCM predictions better capture key factors are more consistent with actual data. SSP585 (high emissions) scenario, projected increase by 19.59 percent, SSP126 (low increases only 3.76 percent over 80 years, underlines need projections.

Язык: Английский

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Surplus or deficit? Quantification of carbon sources and sinks and analysis of driving mechanisms of typical oasis urban agglomeration ecosystems

Journal of Environmental Management, Год журнала: 2024, Номер 371, С. 123058 - 123058

Опубликована: Окт. 31, 2024

Язык: Английский

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