Incorporating Catchment Attributes Grouping into Model Parameter Regionalization To Enhance Root Zone Soil Moisture Estimation

Water Resources Management, Год журнала: 2025, Номер unknown

Опубликована: Март 1, 2025

Язык: Английский

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Spatial dynamics of soil organic carbon and total nitrogen concerning aggregate size fractions using machine learning models

Soil Ecology Letters, Год журнала: 2025, Номер 7(2)

Опубликована: Апрель 28, 2025

Язык: Английский

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Determining ergonomics-based sustainability for public utility vehicles: integrating higher-order structural equation modelling and random forest classifier

Ergonomics, Год журнала: 2025, Номер unknown, С. 1 - 24

Опубликована: Май 31, 2025

Ergonomics-based sustainability (EBS) in public utility vehicles (PUVs) requires an integrated approach that balances environmental, social and economic factors while enhancing commuter driver well-being. This study develops EBS framework for PUVs the Philippines by integrating higher-order structural equation modelling (H-SEM) random forest classifier (RFC). Analysing 350 survey responses, results indicated environmental sustainability, particularly pollution reduction energy efficiency, had greatest influence on overall sustainability. Social dimensions, such as well-being vehicle safety, were also critical, like affordability investment played a supporting role. The RFC model highlighted immediate operational concerns, emphasising safety usability, which complement SEM's long-term insights. provides data-driven policymakers transport planners to improve PUV ergonomics, enhance satisfaction promote sustainable mobility, with adaptability global applications EBS.

Язык: Английский

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Driving forces of herbaceous species diversity in natural broadleaf forests from in Maoershan from Northeast China

Frontiers in Plant Science, Год журнала: 2024, Номер 15

Опубликована: Авг. 22, 2024

The understory herbaceous flora plays a pivotal role in regulating the structural stability, complexity, and ecological function of forest communities. It is crucial to investigate impact intricate connections between these factors forces driving diversity species within natural broadleaf forests can assist managers developing optimal structure optimization techniques, allowing them adjust diversity. In this study, Pearson correlation analysis, conventional multiple linear regression were employed elucidate relationship stand structure, soil nutrients, richness broadleaved forests. Structural equation modeling was utilized ascertain influence on evaluate underlying pathways. results indicated significant negative closure Simpson’s Shannon-Wiener’s indices, mixing degree Pielou evenness index, index (p<0.05). Furthermore, positive observed specifically organic matter total phosphorus, found that phosphorus significantly positively correlated with both Shannon-Wiener coefficients first group typical variables analysis 0.498 0.585, respectively From set it be seen Hegyi competition canopy density affected plants. composite demonstrated greatest impact, loadings 0.872 -0.506, respectively. Simpson indices exhibited most sensitive -0.441 -0.408, nutrients SOM TN plant greater -0.184 1.002, path coefficient 0.35. nutrient content 0.23 following 0.21, which indirectly affect species. To enhance species, recommended tree upper reduced appropriately, while level spatial distribution trees adjusted manner maintains reasonable structure. comprehensive management program for improving should considered.

Язык: Английский

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Unravelling key factors of forest condition: Multidimensional assessment in Mediterranean pine ecosystems

Forest Ecology and Management, Год журнала: 2024, Номер 578, С. 122487 - 122487

Опубликована: Дек. 30, 2024

Язык: Английский

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