Carbon neutral spatial zoning and optimization based on land use carbon emission in the qinba mountain region, China

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 25, 2025

Amid global climate change, the pursuit of low-carbon development has become a unified international goal. The Qinba Mountain region plays an important role in maintaining China's ecological security, making spatial zoning tailored for carbon neutrality vital local sustainable development. Using land use and socioeconomic data from 2000 to 2020 81 county-level units, neutral framework was developed, considering natural, economic, resource factors. This study further integrated spatiotemporal dynamics index multi-scenario predictions future emission (CE) zoning. results revealed that had overall positive net-carbon trend without significant deficits, central faced increased CE northern weak carrying capacity. predicted continued decrease under scenario reached 30.55 million t by 2060, with only nine units failing reach their peaking 2030. Five different zones were identified: sink functional zone, stabilization high-carbon control zone source optimization zone. Tailored strategies each proposed enhance regional environment contribute green These findings offer insights into achieving regions or cities.

Language: Английский

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Two pathways for reducing soil aggregate organic carbon mineralisation via minimum tillage under a long-term field experiment

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 381, P. 125195 - 125195

Published: April 12, 2025

Language: Английский

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Exploration of Dual-Carbon Target Pathways Based on Machine Learning Stacking Model and Policy Simulation—A Case Study in Northeast China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 844 - 844

Published: April 12, 2025

Northeast China, a traditional heavy industrial base, faces significant carbon emissions challenges. This study analyzes the drivers of in 35 cities from 2000–2022, utilizing machine-learning approach based on stacking model. A model, integrating random forest and eXtreme Gradient Boosting (XGBoost) as base learners support vector machine (SVM) meta-model, outperformed individual algorithms, achieving coefficient determination (R2) 0.82. Compared to methods, model significantly improves prediction accuracy stability by combining strengths multiple algorithms. The Shapley additive explanations (SHAP) analysis identified key drivers: total energy consumption, urbanization rate, electricity population positively influenced emissions, while sulfur dioxide (SO2) smoke dust average temperature, humidity showed negative correlations. Notably, green coverage exhibited complex, slightly positive relationship with emissions. Monte Carlo simulations three scenarios (Baseline Scenario (BS), Aggressive De-coal (ADS), Climate Resilience (CRS)) projected peak 2030 under ADS, lowest fluctuation (standard deviation 5) largest reduction (17.5–24.6%). Baseline indicated around 2039–2040. These findings suggest important role de-coalization. Targeted policy recommendations emphasize accelerating transition, promoting low-carbon transformation, fostering urbanization, enhancing sequestration China’s sustainable development achievement dual-carbon goals.

Language: Английский

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Response Characteristics and Community Assembly Mechanisms of nirS-Type Denitrifiers in the Alpine Wetland under Simulated Precipitation Conditions

Biology, Journal Year: 2024, Volume and Issue: 13(8), P. 596 - 596

Published: Aug. 7, 2024

The nitrogen cycling process in alpine wetlands is profoundly affected by precipitation changes, yet the dynamic response mechanism of denitrifiers to long-term shifts wetland Qinghai-Tibet Plateau remains enigmatic. Utilizing high-throughput sequencing analysis nirS-type functional genes, this study delved into changes Qinghai Lake. findings revealed that Lake were primarily Proteobacteria, and Alpha diversity exhibited a negative correlation with gradient, deterministic processes predominating community assembly denitrifying microbes. A 50% increase rainfall shifted from stochastic. Dominant microflora at genus level responded significantly aerobic bacteria comprising majority differentially abundant taxa (55.56%). As increased, complexity microbial interaction network decreased, 25% reduction notably elevated relative abundance three key groups: chemoheterotrophic, fixation. Precipitation emerged as primary regulator Lake, accounting for 51% variation composition. In summary, offers fresh perspective investigating ecological ecosystems examining composition changes.

Language: Английский

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Optimizing fertilization rate can maintain the greenhouse gas mitigation effect of no-tillage: A global-scale meta-analysis

Field Crops Research, Journal Year: 2024, Volume and Issue: 322, P. 109720 - 109720

Published: Dec. 24, 2024

Language: Английский

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Extreme rainfall events eliminate the response of greenhouse gas fluxes to hydrological alterations and fertilization in a riparian ecosystem

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122945 - 122945

Published: Oct. 16, 2024

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