Precision water recharge facilitates spikelet development and seed growth in Carex schmidtii: Implications for near-natural restoration of degraded semi-arid wetlands

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124338 - 124338

Published: Jan. 29, 2025

Language: Английский

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Estimation of Ecological Water Requirement and Water Replenishment Regulation of the Momoge Wetland

Water, Journal Year: 2025, Volume and Issue: 17(1), P. 114 - 114

Published: Jan. 3, 2025

Ensuring the ecological water requirements (EWR) suitable for wetlands are upheld is essential maintaining stability and health of their ecosystems, a challenge faced by globally. However, previous studies on EWRs estimation lack comprehensive consideration still suffer from problem rough time scales. Prior have predominantly concentrated its core buffer zones, neglecting analysis wetland’s entirety failing to account seasonal variations in EWRs. To fill this gap, we proposed novel framework estimating guide development dynamic replenishment strategies. The grey prediction model was used project wetland area under different scenarios designed We then applied key conservation China, Momoge Wetland, which currently facing issues areal shrinkage functional degradation due insufficient Our findings indicate that maximum, optimal, minimum Wetland 24.14 × 108 m3, 16.65 10.88 respectively. during overwintering, breeding, flood periods estimated at 1.92 5.39 8.73 Based predicted areas climatic conditions, necessary volumes dry-dry-dry, dry-dry-normal, dry-normal-dry, normal-normal-normal calculated be 0.70 0.49 0.68 0.36 In years characterized drought, current projects inadequate meet needs, highlighting urgent need implementation multi-source techniques enhance effectiveness these interventions. results study provide insights annual planning management with similar problems as Wetland. With new insights, our not only advances knowledge accuracy requirement assessment but also provides scalable solution global resource management, helping improve ecosystem’s adaptability future climate changes.

Language: Английский

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Rapid urbanization decelerates regional net anthropogenic phosphorus input: Evidence from the Chengdu-Chongqing urban agglomeration in China

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124171 - 124171

Published: Jan. 19, 2025

Language: Английский

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Exogenous nitrogen enhances aboveground plant phosphorus accumulation through soil moisture and organic carbon in semi-arid grazed wetlands

Agriculture Ecosystems & Environment, Journal Year: 2025, Volume and Issue: 388, P. 109635 - 109635

Published: March 31, 2025

Language: Английский

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Potential of Sample Migration and Explainable Machine Learning Model for Monitoring Spatiotemporal Changes of Wetland Plant Communities

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Journal Year: 2024, Volume and Issue: 17, P. 9894 - 9906

Published: Jan. 1, 2024

The composition and dynamics of wetland plant communities play a critical role in maintaining the functionality ecosystems serve as important indicators degradation restoration. Accurately identifying using remote sensing techniques remains challenging due to complex environment cloud contamination. Here, we applied sample migration method based on change vector analysis random forest (RF) classifier incorporating SHapley Additive exPlanations (SHAP) explore spatiotemporal changes western Songnen Plain China between 2016 2022, better understand decision logic RF model. Our work achieved accurate annual classification at community scale, with an average overall accuracy 89.5% kappa coefficient 0.87. revealed different characteristics three national nature reserves. SHAP model showed that MOS_IRECI is most feature determining prediction results model, importance features differs global local levels. This study confirms feasibility dynamic monitoring regional scale. are expected provide reference for fine sustainable management resources Plain, well valuable data support related ecology research.

Language: Английский

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Responses of soil fungal community composition and function to wetland degradation in the Songnen Plain, northeastern China

Frontiers in Plant Science, Journal Year: 2024, Volume and Issue: 15

Published: Sept. 9, 2024

Wetlands are ecosystems that have a significant impact on ecological services and essential for the environment. With impacts of rapid population growth, wetland reclamation, urbanization, land use change, wetlands undergo severe degradation or loss. However, response soil fungal communities to remains unknown. It is crucial comprehend how diversity dynamics fungi respond varying levels progression in Songnen Plain.

Language: Английский

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Wetland Landscape Dynamics and Multi-Functional Assessment of Wuhan City, China

Water, Journal Year: 2024, Volume and Issue: 16(20), P. 2914 - 2914

Published: Oct. 13, 2024

Under the dual pressures of rapid urbanization and intensifying global climate change, China has proposed governance policies aimed at promoting ecological urban construction. Wetland landscapes play a key role in sustaining human social well-being. As significant city middle reaches Yangtze River, Wuhan’s wetland resources an irreplaceable maintaining regional balance sustainable economic development. However, poses severe challenge to service functions wetlands. Consequently, this study, we analyzed spatial–temporal evolution patterns sub-functional systems carbon sequestration, biodiversity conservation, water yield, purification five types Wuhan City from 2000 2020 by using CASA model InVEST model. Then, multi-functional assessment framework was constructed quantify comprehensive multi-function score. It is imperative unravel underlying mechanisms driving changes explore equilibrium point between conservation Our results show that area decreased 5077.33 km2 4696.60 2020, multi-functions exhibited spatial heterogeneity 2020. sequestration increased 0.94 Tg 1.11 The habitat quality declined 0.13 0.11 production wetlands 5.43 × 109 t 22.59 N loss 55,850.58 49,209.93 highest score paddy fields, which 0.41 ± 0.12 0.51 0.12, followed tidal flats, 0.39 0.14 0.50 0.16, lowest rivers, also 0.33 0.14. closely related type development direction over past two decades, it negatively correlated with living density, providing new ideas for protection construction City.

Language: Английский

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Identifying factors influencing reservoir eutrophication using interpretable machine learning combined with shoreline morphology and landscape hydrological features: A case study of Danjiangkou Reservoir, China

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175450 - 175450

Published: Aug. 10, 2024

Language: Английский

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