Effects of Urbanization on Soil Quality in the Rural‒Urban Gradient of Bengaluru, India DOI Open Access
Karan Sathish,

AS Devakumar,

A. Kokila

et al.

International Journal of Environment and Climate Change, Journal Year: 2024, Volume and Issue: 14(9), P. 393 - 405

Published: Sept. 3, 2024

Understanding the impact of urbanization on soil quality is crucial for sustainable land management practices. This study was conducted in Bengaluru, India, to estimate index (SQI) under different rural‒urban gradient (RUG) zones. Twenty-four sampling sites were identified along RUG, and samples collected monthly over five months during October February 2020-2021. The assessment involved selecting minimum data set (MDS) via principal component analysis (PCA) correlation, scoring indicators, combining these scores create (SQI). PCA used identify key properties, which included microbial biomass carbon (MBC), SOC, N, manganese (Mn), urease RUG zones derived from MDS. rural had highest SQI (0.57), followed by peri-urban (0.47 0.48) urban (0.45 0.47) These findings emphasize importance practices preserve boost across diverse regions, particularly face rapid industrialization.

Language: Английский

How Can Soil Quality Be Accurately and Quickly Studied? A Review DOI Creative Commons
Radwa A. El Behairy, Hasnaa M. El Arwash, Ahmed A. El Baroudy

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(8), P. 1682 - 1682

Published: July 30, 2024

Evaluating soil quality is crucial for ensuring the sustainable use of agricultural lands. This review examines definition, evaluation methods, indicator selection, and relevant case studies. The concept supplements science research by deepening our understanding soils aiding in allocation resources as agriculture intensifies to meet rising global demand. Soil provides a framework educating stakeholders about essential functions offers tool assessing comparing different management techniques. Regular vital maintaining high crop yields addressing gap between production consumption. Nowadays, many researchers have explored machine learning (ML) deep (DL) techniques various algorithms model predict with satisfactory results. These chosen indicators can be influenced chemical, biological, or physical features. paper compares ML DL traditional examining their features, limitations, categories learning, applications assessment. Finally, we show that predicting has potential extremely accurate efficient DL. distinguishes application from other approaches since they anticipate index without need more intricate computations. Our suggestion future studies evaluate over broader regions it using accurate, modern, faster variety activation algorithms.

Language: Английский

Citations

5
Soil quality dynamics in response to land-use management types and slope positions in northeastern highlands of Ethiopia DOI Creative Commons

Andualem Belay,

Mohammed Assen,

Assefa Abegaz

et al.

Environmental and Sustainability Indicators, Journal Year: 2025, Volume and Issue: unknown, P. 100641 - 100641

Published: Feb. 1, 2025

Language: Английский

Citations

0
Soil quality variation associated with land cover in the Peruvian jungle of the Junín region DOI Creative Commons

Carlos Carbajal-Llosa,

Fernanda Moya-Ambrosio,

Antony Barja

et al.

Soil Security, Journal Year: 2025, Volume and Issue: unknown, P. 100188 - 100188

Published: May 1, 2025

Language: Английский

Citations

0
Optimizing planting geometries in eucalyptus-based food production systems for enhanced yield and carbon sequestration DOI Creative Commons

S. B. Chavan,

R. S. Dhillon, Chhavi Sirohi

et al.

Frontiers in Sustainable Food Systems, Journal Year: 2024, Volume and Issue: 8

Published: June 7, 2024

The integration of trees into diverse land-use systems holds potential for India to meet nationally determined contribution (NDC) targets under the Paris Climate Agreement. With a target sequestering 2.5–3 billion tons CO 2 equivalent by 2030, study focused on widespread and economically viable eucalyptus-based agroforestry, practiced widely in various planting geometries tailored industrial end-use requirements. In this context, detailed was conducted quantify influence five [3 m × 3 m, 6 1.5 17 1 (paired row) two boundary plantations (east–west north–south directions) at away from tree tree] eucalyptus intercrops [dhaincha ( Sesbania aculeata )—barley Hordeum vulgare L.) rotation] biomass, soil properties, carbon stock system during 2009–2016. Results revealed that biomass accumulation different components 62.50%–74.09% stem; 6.59%–9.14% branch; 3.18%–5.73% leaves; 12.20%–20.44% stump roots; 1.71%–3.48% fine roots across geometries. mean content stem, branch, leaves, 49.00, 47.00, 43.00, 49.00%, respectively. Over 8-year period, geometry performed better terms total production (344.60 Mg ha − 62.53 −1 intercrops). independent parameter, DBH H (DBH: diameter breast height H: height), found be very good predictor dry weight, followed alone. Among functions (linear, allometric, logistic, Gompertz, Chapman, exponential), best-fit equation i.e., B = 300.96 0.93 (adjusted R 0.96) based universal model adequacy validation criteria. sequestration rate maximum (20.79 C year ) m. (tree + crop soil) varied significantly sole rotation (dhaincha–barley). higher (237.27 obtained spacing further partitioning trees—166.29 , crops—25.01 soil—45.97 . paired row (17 m) yielded yield net returns (Rs. 600,475 ), underscoring wide spacing’s role productivity sustainability. Tree-based were valuable agriculture, advocating their adoption reduce emissions generate income through credits. These findings will provide crucial insights sustainable practices advance India’s commitment toward adaptation climate change mitigation strategies.

Language: Английский

Citations

3
Pythagorean fuzzy SWARA weighting technique for soil quality modeling of cultivated land in semi-arid terrestrial ecosystems DOI
Bulut Sarğın, Pelin Alaboz, Siyami Karaca

et al.

Computers and Electronics in Agriculture, Journal Year: 2024, Volume and Issue: 227, P. 109466 - 109466

Published: Oct. 10, 2024

Language: Английский

Citations

3
Perspective Chapter: Agroforestry Strategies for Integrated Soil and Water Conservation DOI Creative Commons

Dinesh Jinger,

Nandha Kumar N,

Chhavi Sirohi

et al.

IntechOpen eBooks, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 22, 2024

Land degradation has a substantial influence on food security, health, and socioeconomic development, highlighting the critical role that land plays as resource necessary for maintaining life. As result, agroforestry interventions become essential tactics preservation improving sustainable production. Many techniques, including agri-horticulture, silvipasture, agri-silviculture systems, have been developed over course of study in variety agroclimatic zones with goal reducing degradation. The United Nations Convention to Combat Desertification acknowledged these strategies reaching neutrality. benefits techniques soil erosion runoff, increasing fertility, enhancing carbon sequestration are explained this chapter. It is crucial promote affordable technologies guarantee their widespread adoption. putting place systems healing impacted regions addressing issues livelihoods, environmental sustainability, security. In order make sure stakeholders receive proper incentives, national policy programs should incorporate valuation advantages protection. Furthermore, future research endeavors prioritize development economically viable designed restore degraded lands, enhance water efficiency, minimize competition between trees crops.

Language: Английский

Citations

0
Effects of Urbanization on Soil Quality in the Rural‒Urban Gradient of Bengaluru, India DOI Open Access
Karan Sathish,

AS Devakumar,

A. Kokila

et al.

International Journal of Environment and Climate Change, Journal Year: 2024, Volume and Issue: 14(9), P. 393 - 405

Published: Sept. 3, 2024

Understanding the impact of urbanization on soil quality is crucial for sustainable land management practices. This study was conducted in Bengaluru, India, to estimate index (SQI) under different rural‒urban gradient (RUG) zones. Twenty-four sampling sites were identified along RUG, and samples collected monthly over five months during October February 2020-2021. The assessment involved selecting minimum data set (MDS) via principal component analysis (PCA) correlation, scoring indicators, combining these scores create (SQI). PCA used identify key properties, which included microbial biomass carbon (MBC), SOC, N, manganese (Mn), urease RUG zones derived from MDS. rural had highest SQI (0.57), followed by peri-urban (0.47 0.48) urban (0.45 0.47) These findings emphasize importance practices preserve boost across diverse regions, particularly face rapid industrialization.

Language: Английский

Citations

0