Soil health benefits associated with urban horticulture DOI

Qianyi Wu,

Katelyn A. Congreves

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 168852 - 168852

Опубликована: Ноя. 28, 2023

Язык: Английский

Spatial variation of soil quality limiting indicators in the North China DOI
Xiaomeng Huang,

Zhang Shengming,

Qichao Zhu

и другие.

Journal of Environmental Management, Год журнала: 2025, Номер 380, С. 124936 - 124936

Опубликована: Март 13, 2025

Язык: Английский

Процитировано

0

Analysis of the impact of multiple green space patterns and key meteorological factors on particulate matter pollution: a case study in the Zhengzhou metropolitan area DOI

Zheyuan Wu,

Yaqing Shang,

Yang Cao

и другие.

International Journal of Biometeorology, Год журнала: 2025, Номер unknown

Опубликована: Март 14, 2025

Язык: Английский

Процитировано

0

Mid‐infrared spectroscopy and machine learning improve accessibility of Hawaiʻi soil health assessment DOI Creative Commons
Tanner B. Beckstrom, Arianna Bunnell, Tai McClellan Maaz

и другие.

Soil Science Society of America Journal, Год журнала: 2025, Номер 89(3)

Опубликована: Май 1, 2025

Abstract Monitoring soil health is important for sustaining agricultural productivity and ecological integrity around the world. However, current assessment approaches relying on conventional laboratory methods are resource intensive. Mid‐infrared (MIR) spectroscopy offers an opportunity to increase throughput reduce user costs, potentially improving accessibility land managers producers. This study aims develop a high‐throughput, hybridized model tailored diverse landscapes of Hawaiʻi, with potential applicability other subtropical tropical areas. Leveraging newly developed spectral dataset ( n = 634) machine learning methods, we predicted inherent mineralogy intensive use legacy 94.5% 91.4% accuracy, respectively, validated threefold cross‐validation. Additionally, four key indicators: total organic carbon (CCC 0.97), CO 2 burst 0.93), mineralizable nitrogen 0.89), water‐stable mega‐aggregates 0.79). These features were then used predict Hawaiʻi score. Our results demonstrate MIR reshape in by offering rapid, cost‐effective alternative traditional methods. Finally, discuss importance adopting testing framework report that intuitive stakeholders, including local producers managers.

Язык: Английский

Процитировано

0

A new perspective on the whole process of ecological vulnerability analysis based on the EFP framework DOI

Lixia Ma,

Kang Hou,

Haojie Tang

и другие.

Journal of Cleaner Production, Год журнала: 2023, Номер 426, С. 139160 - 139160

Опубликована: Окт. 7, 2023

Язык: Английский

Процитировано

7

Soil Data Cube and Artificial Intelligence Techniques for Generating National-Scale Topsoil Thematic Maps: A Case Study in Lithuanian Croplands DOI Creative Commons
Nikiforos Samarinas, Nikolaos Tsakiridis, Stylianos Kokkas

и другие.

Remote Sensing, Год журнала: 2023, Номер 15(22), С. 5304 - 5304

Опубликована: Ноя. 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.

Язык: Английский

Процитировано

7

Exploring low-carbon mulching strategies for maize and wheat on-farm: Spatial responses, factors and mitigation potential DOI

Huihui Wei,

Kaiping Zhang,

Ning Chai

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 906, С. 167441 - 167441

Опубликована: Сен. 28, 2023

Язык: Английский

Процитировано

6

Examining The Impact of Social Science Teachers’ Technological Pedagogical Content Knowledge (TPACK) on Acceptance of Online Teaching and Learning DOI Open Access
Erning Wijayati, Punaji Setyosarı, Dedi Kuswandi

и другие.

AL-HAYAT Journal of Islamic Education, Год журнала: 2024, Номер 8(1), С. 323 - 323

Опубликована: Фев. 3, 2024

This research examines junior high school social studies teachers' technology pedagogy content knowledge (TPACK) and how this influences acceptance of in online teaching learning. In study, the quantity approach was applied, while type is descriptive explanatory. A total 875 science teachers were surveyed East Java Province. Structural Equation Modelling (SEM) with AMOS version 20 software used during data analysis. Perceived utility (PU) perceived ease use (PEU) are highly impacted by TPACK. Moreover, PEU substantially affects PU, which has been demonstrated to impact behavioural intention (BIU) an attitude toward (ATU) significantly. As a result, TPACK essential adopting learning, its PU crucial instructors' attitudes regarding continuous it. It possible that characteristics sample do not accurately reflect Indonesian educators. Research on potential effects additional variables, like self-efficacy or teacher performance, would be interesting. The integration TAM examined study generate conceptual framework based empirical data.

Язык: Английский

Процитировано

2

Systematic identification of factors influencing the spatial distribution of soil organic matter in croplands within the black soil region of Northeastern China across multiple scales DOI
Yongbo Li,

Shufeng Zheng,

Liping Wang

и другие.

CATENA, Год журнала: 2024, Номер 249, С. 108633 - 108633

Опубликована: Дек. 5, 2024

Язык: Английский

Процитировано

2

Assessing differential land use impacts on soil quality: A method based on log-response ratios and polygonal projections DOI

Raul Aranguren,

Julio Cañón

Journal of Environmental Management, Год журнала: 2023, Номер 348, С. 119442 - 119442

Опубликована: Ноя. 3, 2023

Язык: Английский

Процитировано

4

Higher improvement in soil health by animal-sourced than plant-sourced organic materials through optimized substitution DOI
Chang Guang Shi, Qingwen Zhang, Bowei Yu

и другие.

Agriculture Ecosystems & Environment, Год журнала: 2023, Номер 363, С. 108875 - 108875

Опубликована: Дек. 30, 2023

Язык: Английский

Процитировано

4