Soil health assessment under different soil and irrigation types in the agro-pastoral ecotone of northern China

CATENA, Journal Year: 2023, Volume and Issue: 235, P. 107655 - 107655

Published: Nov. 3, 2023

Language: Английский

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Quantitative evaluation of soil health based on a minimum dataset under various short-term crop rotations on the Canadian prairies

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 935, P. 173335 - 173335

Published: May 17, 2024

Language: Английский

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Assessment of degraded lands in the Ile-Balkhash region, Kazakhstan

Frontiers in Earth Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 13, 2025

It is estimated that approximately 66% of Kazakhstan’s territory susceptible to desertification. One the most significantly affected regions in terms land degradation Ile-Balkhash Basin, where environmental pressures have intensified due factors such as water scarcity, soil erosion and unsustainable use practices. This study aims evaluate dynamics risk rates desertification, well its severity, region. To achieve set goal objectives, a variety methods were employed, including desertification divided index (DDI) for identification dynamics, correlation analysis detection relationships between different indicators, Principal Component Analysis (PCA) modelling rate area. The spatial distribution degrees (severe, high, medium, low, non-desertification) was identified using DDI methodologies. results indicate area severe dry region exhibited decline by 2020, followed an increase. high non-desertification has increased, while medium low areas remained relatively unchanged. northern part experiencing rapid increase human agricultural activities landscape features. precipitation primary factor influencing In addition, PCA model based on spectral indices region, pasture prevalent, vulnerable potential further heightened current mismanagement failure adequately address shifting climate conditions. Factors temperature fluctuations, overgrazing, specific features serve exacerbate process comprehensive examination can facilitate formulation effective policy strategies implementation rehabilitation plans arid southern Kazakhstan.

Language: Английский

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Comparing sentinel-2 and Landsat 8 spectral reflectance indices for predicting soil organic carbon

Environmental Earth Sciences, Journal Year: 2025, Volume and Issue: 84(8)

Published: April 1, 2025

Language: Английский

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How Long-Term Orchard Management Revitalizes Soil Health beyond the Topsoil

Earth Systems and Environment, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 14, 2025

Language: Английский

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The Evolution of Methods and Tools Used to Assess Soil Health Indicators - a Scoping Review

Published: Jan. 1, 2025

Language: Английский

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Estimation of annual soil CO2 efflux under the erosion and deposition conditions by measuring and modeling its respiration rate in southern China

Journal of Environmental Management, Journal Year: 2023, Volume and Issue: 351, P. 119686 - 119686

Published: Dec. 3, 2023

Language: Английский

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Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(22), P. 5304 - 5304

Published: Nov. 9, 2023

There is a growing realization among policymakers that in order to pave the way for development of evidence-based conservation recommendations policy, it essential improve capacity soil-health monitoring by adopting multidimensional and integrated approaches. However, existing ready-to-use maps are characterized mainly coarse spatial resolution (>200 m) information not up date, making their use insufficient EU’s policy requirements, such as common agricultural policy. This work, utilizing Soil Data Cube, which self-hosted custom tool, provides yearly estimations soil thematic (e.g., exposed soil, organic carbon, clay content) covering all area Lithuania. The pipeline exploits various Earth observation data time series Sentinel-2 satellite imagery (2018–2022), LUCAS (Land Use/Cover Area Frame Statistical Survey) topsoil database, European Integrated Administration Control System (IACS) artificial intelligence (AI) architectures prediction accuracy well (10 m), enabling discrimination at parcel level. Five different models were tested with convolutional neural network (CNN) model achieve best both targeted indicators (SOC clay) related R2 metric (0.51 SOC 0.57 clay). predictions supported uncertainties based on PIR formula (average 0.48 0.61 provide valuable model’s interpretation stability. application final carried out national bare-soil-reflectance composite layers, generated employing pixel-based approach overlaid annual bare-soil using combination vegetation indices NDVI, NBR2, SCL. findings this work new insights generation large scale, leading more efficient sustainable management, supporting agri-food private sector.

Language: Английский

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The promotion of the atrazine degradation mechanism by humic acid in a soil microbial electrochemical system

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120767 - 120767

Published: March 31, 2024

Language: Английский

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Variations of soil infiltration in response to vegetation restoration and its influencing factors on the Loess Plateau

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 372, P. 123356 - 123356

Published: Nov. 19, 2024

Language: Английский

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