Water balance affects foliar and soil nutrients differently

Akana, Palani R.; Bateman, Jesse Bloom; Vitousek, Peter M.

doi:10.1007/s00442-022-05244-2

Cited by 3 publications

(3 citation statements)

References 53 publications

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“…In the study area, the uneven patch size and irregular distribution are the spatial distribution characteristics of soils of different grades. This may be related to the microtopography and soil parent materials [57,58]. It was found that soil salinity gradually increased from west to east in the study area, while the soil nutrient contents gradually decreased.…”

Section: Spatial Distribution Characteristics Of Soils Of Different G...mentioning

confidence: 80%

Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network

Fan,

Gao,

Zuo

et al. 2023

Land

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Accurate soil quality evaluation is an important prerequisite for improving soil management systems and remediating soil pollution. However, traditional soil quality evaluation methods are cumbersome to calculate, and suffer from low efficiency and low accuracy, which often lead to large deviations in the evaluation results. This study aims to provide a new and accurate soil quality evaluation method based on graph convolution network (GCN). In this study, soil organic matter (SOM), alkaline hydrolysable nitrogen (AN), available potassium (AK), salinity, and heavy metals (iron (Fe), copper (Cu), manganese (Mn), and zinc (Zn)) were determined and evaluated using the soil quality index (SQI). Then, the graph convolution network (GCN) was first introduced in the soil quality evaluation to construct an evaluation model, and its evaluation results were compared with those of the SQI. Finally, the spatial distribution of the evaluation results of the GCN model was displayed. The results showed that soil salinity had the largest coefficient of variation (86%), followed by soil heavy metals (67%) and nutrients (30.3%). The soil salinization and heavy metal pollution were at a low level in this area, and the soil nutrients and soil quality were at a high level. The evaluation accuracy of the GCN model for soil salinity/heavy metals, soil nutrients, and soil quality were 0.91, 0.84, and 0.90, respectively. Therefore, the GCN model has a high accuracy and is feasible to be applied in the soil quality evaluation. This study provides a new, simple, and highly accurate method for soil quality evaluation.

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Section: Spatial Distribution Characteristics Of Soils Of Different G...mentioning

confidence: 80%

Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network

Fan,

Gao,

Zuo

et al. 2023

Land

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“…There exist different architectures of API, and one of them is REST [Akana, 2022]. REST stands for representational state transfer and utilizes HTTP to handle the communication.…”

Section: Rest Apimentioning

confidence: 99%

Smart Contract and Web DApp for Traceability in the Olive Oil Production chain

Fernandes

Cruz

2022

2022 17th Iberian Conference on Information Systems and Technologies (CISTI)

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Hoje em dia, à medida que as pessoas se tornam mais conscientes sobre a saúde, a adopção de uma dieta saudável e equilibrada tornou-se cada vez mais importante para uma melhor qualidade de vida. Uma boa dieta não só ajuda a prevenir e combater doenças, como também contribui para o bem-estar geral. Consequentemente, os consumidores estão a prestar mais atenção aos alimentos que consomem, procurando produtos que ofereçam valor nutricional e sustentabilidade e não apenas o reconhecimento da marca.Portugal é um dos maiores produtores de azeite do mundo, e o azeite é uma componente fundamental da dieta mediterrânica. O valor nutricional do azeite está directamente ligado a todas as fases da cadeia de valor do produto, desde o cultivo até ao consumo.Para garantir que os consumidores tenham acesso a informação fiável e precisa sobre a qualidade do azeite que adquirem, é importante estabelecer a rastreabilidade na cadeia de produção. Ao fazê-lo, a confiança dos consumidores pode ser consolidada.Este estudo centra-se na rastreabilidade na cadeia de produção do azeite, bem como nos indicadores de sustentabilidade social e ambiental e nos indicadores de qualidade. O objectivo é criar uma solução que utilize a tecnologia Blockchain e Smart Contracts para permitir que informações mais fiáveis e transparentes sobre a produção e qualidade do azeite sejam facilmente acessíveis aos consumidores.Este caso de estudo é importante porque sublinha a necessidade de maior transparência na cadeia da valor da produção alimentar, bem como os benefícios de utilizar novas tecnologias como a Blockchain para melhorar a transparência e a rastreabilidade. Também demonstra a importância da sustentabilidade na produção de produtos alimentares, e como pode ter impacto tanto no ambiente como na saúde dos consumidores.

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“…Terrestrial water storage is composed of five parts: soil water, surface water, ice and snow water, groundwater, and canopy water. Soil water content directly affects the weathering of soil minerals and the leaching of vegetation nutrients from soil [20] and indirectly affects the change in canopy water storage of vegetation communities [21]. Seasonal ice and snow water have made an important contribution to alleviating regional water shortages and restoring ecosystems [22].…”

Section: Introductionmentioning

confidence: 99%

Associations between Surface Deformation and Groundwater Storage in Different Landscape Areas of the Loess Plateau, China

Liu,

Zhang,

Fan

et al. 2024

Land

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The Loess Plateau is an important grain-producing area and energy base in China and is an area featuring dramatic changes in both surface and underground processes. However, the associations between surface deformation and groundwater storage changes in different landscape types in the region are still unclear. Based on Sentinel-1 and GRACE (Gravity Recovery and Climate Experiment) data, this study monitored and verified the surface deformation and groundwater storage changes in different landscape types, such as those of the Kubuqi Desert, Hetao Irrigation District, Jinbei Mining Area, and Shendong Mining Area, in the Loess Plateau of China from 2020 to 2021. Through time series and cumulative analysis using the same spatial and temporal resolution, the associations between these two changes in different regions are discussed. The results show that: (1) the surface deformation rates in different landscape types differ significantly. The minimum surface deformation rate in the Kubuqi Desert is −5~5 mm/yr, while the surface deformation rates in the Hetao Irrigation District, the open-pit mine recovery area in the Jinbei Mining Area, and the Shendong Mining Area are −60~25 mm/yr, −25~25 mm/yr, and −95.33~26 mm/yr, respectively. (2) The regional groundwater reserves all showed a decreasing trend, with the Kubuqi Desert, Hetao Irrigation District, Jinbei Mining Area, and Shendong Mining Area declining by 359.42 mm, 103.30 mm, 45.60 mm, and 691.72 mm, respectively. (3) The surface elasticity deformation had the same trend as the temporal fluctuation in groundwater storage, and the diversion activity was the main reason why the temporal surface deformation in the Hetao Irrigation District lagged behind the change in groundwater storage by 1~2 months. The measure of “underground water reservoirs in coal mines” slows down the rate of collapse of coal mine roof formations, resulting in the strongest time-series correlation between mild deformation of the surface of the Shendong mine and changes in the amount of groundwater reserves (R = 0.73). This study analyzes the associations between surface deformation and groundwater storage changes in different landscape areas of the Loess Plateau of China and provides new approaches to analyzing the dynamic associations between the two and the causes of changes in both variables.

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Water balance affects foliar and soil nutrients differently

Cited by 3 publications

References 53 publications

Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network

Soil Quality Evaluation for Cotton Fields in Arid Region Based on Graph Convolution Network

Smart Contract and Web DApp for Traceability in the Olive Oil Production chain

Associations between Surface Deformation and Groundwater Storage in Different Landscape Areas of the Loess Plateau, China

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