Insights from land sparing and land sharing frameworks for land productivity degradation governance in the Yangtze River Delta urban agglomeration, China

Land Degradation and Development, Год журнала: 2024, Номер 35(14), С. 4240 - 4256

Опубликована: Июль 9, 2024

Abstract Land degradation due to mismanagement is widespread globally and may threaten the achievement of several UN Sustainable Development Goals. Yet differences in land productivity under various management patterns (land sparing vs. sharing) are poorly known. In this research, we used remote sensing data develop a machine learning model for assessing risk interpreted using state‐of‐the‐art interpretable artificial intelligence techniques. 2018, level agricultural production space Yangtze River Delta urban agglomeration (YRD) was 0.230. More than half area at low (68.19% area), mainly mountainous hilly areas. The sharing pattern lower that pattern, but there significant among provinces/municipalities. four most influential factors YRD were Normalized Vegetation Difference Index, nighttime light, elevation, nitrogen deposition, which together explained 72.75% risk. This study provides methodological framework governance emerging agglomerations. It strongly recommends policymakers explore locally appropriate based on regional contexts.

Язык: Английский

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Microbial signatures predictive of short-term prognosis in severe pneumonia

Frontiers in Cellular and Infection Microbiology, Год журнала: 2024, Номер 14

Опубликована: Авг. 2, 2024

This retrospective cohort study aimed to investigate the composition and diversity of lung microbiota in patients with severe pneumonia explore its association short-term prognosis.

Язык: Английский

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Predicting landslide and debris flow susceptibility using Logitboost alternating decision trees and ensemble techniques

Natural Hazards, Год журнала: 2024, Номер unknown

Опубликована: Авг. 17, 2024

Язык: Английский

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RETRACTED: Systematic review on gully erosion measurement, modelling and management: Mitigation alternatives and policy recommendations

Geological Journal, Год журнала: 2023, Номер 58(9), С. 3544 - 3576

Опубликована: Март 13, 2023

The problem of “gully erosion” is one the severe “natural hazards” associated with large‐scale land degradation in various parts world. Therefore, accurate modelling crucial responsibilities this study on gully erosion. But there are still a lot gaps our knowledge erosion and its consequences. Particularly at regional to continental scale, true. Gullying hence often forgotten about regulation watershed management plans. scientific community becoming increasingly interested erosion, yet many information need be filled. In research, we trying fill mentioned gap help existing literature. Most research has been done estimate susceptible zones ultimately select best model. test application made by considering some important models. Then “vulnerability assessment” was climate‐induced chemical weathering socio‐economic variables” village level. village‐level used determine vulnerability region. This beneficial for future researchers conduct

Язык: Английский

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Performance of Naïve Bayes Tree with ensemble learner techniques for groundwater potential mapping

Physics and Chemistry of the Earth Parts A/B/C, Год журнала: 2023, Номер 132, С. 103503 - 103503

Опубликована: Ноя. 1, 2023

Язык: Английский

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