Applied Soil Ecology, Journal Year: 2023, Volume and Issue: 194, P. 105176 - 105176
Published: Nov. 7, 2023
Language: Английский
Applied Soil Ecology, Journal Year: 2023, Volume and Issue: 194, P. 105176 - 105176
Published: Nov. 7, 2023
Language: Английский
Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 357, P. 120705 - 120705
Published: April 1, 2024
Language: Английский
Citations
9Tropical Ecology, Journal Year: 2025, Volume and Issue: 66(1), P. 119 - 131
Published: March 1, 2025
Language: Английский
Citations
1Soil Use and Management, Journal Year: 2024, Volume and Issue: 40(2)
Published: April 1, 2024
Abstract Widespread use of plastics and improper management plastic waste have resulted in generation microplastic particles the environment. These are pervasive contaminants having potential to invade almost all environmental matrices biotic species including humans. Therefore, immediate concern is necessary investigate level contamination probable risk imposed because microplastics. Present investigation has been carried out for estimating presence microplastics terrestrial environment Indore, which considered as commercial capital state Madhya Pradesh (India). Soil samples (30 no.) were collected from agricultural recreational areas city analysed Approximately 11 particles/kg 68.25 found site soil samples, respectively. Chemical composition analysis revealed that most belonged polyethylene terephthalate, polypropylene, polyethylene, polyester, polyamide. Significant various fibres made up polyacrylic, cellulose acetate was also seen, could be attributed textile industries around Indore. Ecological assessment aided concluding study area under ‘very low’ category; however, considering long‐term impacts microplastics, suitable control measures needed adopted.
Language: Английский
Citations
6Sustainability, Journal Year: 2024, Volume and Issue: 16(11), P. 4461 - 4461
Published: May 24, 2024
Resource exploitation markedly alters land use and ecological carbon storage, posing risks to sinks food security. This study analyzes land-use change from 1990 2020 in the resource-based province of Shanxi, China. By introducing a mineral resource driver, PLUS model was used predict four scenarios: natural development (ND), cropland protection (CP), (EP), dual ecology (DP). The spatial temporal evolutions storage were then analyzed using InVEST model. Forests predominantly distributed mountainous areas, with croplands southerly central flat construction lands around cities, mining sporadically across Shanxi. From 2020, grasslands decreased, while forest, construction, increased. Carbon decreased continuously, total loss 15.1 × 106 t. High-value areas Lüliang, Taihang, Taiyue Mountains, low-value more populous southern regions. predicted decline by 2035 under ND CP scenarios exceed that EP DP scenarios. scenario projected an increase 4.93 t 2035. realizes maintains security, providing theoretical reference for achieving neutrality high-quality sustainable Shanxi Province.
Language: Английский
Citations
5Global Change Biology, Journal Year: 2022, Volume and Issue: 29(2), P. 547 - 562
Published: Oct. 12, 2022
Abstract Agricultural activities have been expanding globally with the pressure to provide food security earth's growing population. These agricultural profoundly impacted soil organic carbon (SOC) stocks in global drylands. However, effects of clearing natural ecosystems for cropland (CNEC) on SOC are uncertain. To improve our understanding emissions and sequestration under different land uses, it is necessary characterize response patterns types CNEC. We conducted a meta‐analysis mixed‐effect model based 873 paired observations croplands adjacent from 159 individual studies Our results indicate that CNEC significantly ( p < .05) affects stocks, resulting combination clearing, management practices (fertilizer application, crop species, cultivation duration) significant negative initial stocks. Increases (in 1 m depth) were found which previously (deserts shrublands) had low increases 278.86% (95% confidence interval, 196.43%–361.29%) 45.38% (26.53%–62.23%), respectively. In contrast, decreased by 24.11% (18.38%–29.85%) 10.70% (1.80%–19.59%) forests grasslands cropland, also established general curves change increasing duration, crucial accurately estimating regional dynamics following increased high long‐term fertilizer consumption cleared (about 27.2 Mg ha −1 ). The derived could be used refining estimation dryland developing strategies achieve removal CO 2 atmosphere.
Language: Английский
Citations
19Journal of soil science and plant nutrition, Journal Year: 2023, Volume and Issue: 23(1), P. 1374 - 1385
Published: Jan. 18, 2023
Language: Английский
Citations
12Environmental Monitoring and Assessment, Journal Year: 2023, Volume and Issue: 195(8)
Published: July 19, 2023
Language: Английский
Citations
11Environmental Geochemistry and Health, Journal Year: 2024, Volume and Issue: 46(2)
Published: Feb. 1, 2024
Language: Английский
Citations
4CATENA, Journal Year: 2025, Volume and Issue: 250, P. 108731 - 108731
Published: Jan. 22, 2025
Language: Английский
Citations
0Sustainability, Journal Year: 2025, Volume and Issue: 17(3), P. 978 - 978
Published: Jan. 25, 2025
Intensive agriculture is the chief cause of soil degradation, particularly in regions with low organic carbon status, such as semi-arid southern India. In quest to attain sustainable yield and improved quality, conservation (CA) being advocated adopted globally, including this experiment, CA was implemented investigate synergistic impacts tillage weed management on quality index system identify a remunerative treatment combination that can sustain enhance quality. Contrasting practices (main plots) included T1: conventional cotton–conventional maize–fallow, i.e., no Sesbania rostrata (Farmers’ practice), T2: cotton–zero maize–zero T3: zero cotton + residues–zero maize stubbles. Weed tactics (sub-plots) were W1: chemical control, W2: herbicide rotation, W3: integrated W4: single hand-weeded control split-plot design cotton–maize–Sesbania cropping over 3 years, design. Principal component analysis (PCA) performed using (SQI)-CAL Version 1.0 software tool extract minimum datasets from measured properties. A total 40 variables analyzed at 60 DAS after harvest, then subjected principal PCA choose variables, dataset obtain index. The following properties, (SOC), silt fraction, available zinc (Zn), iron (Fe), potassium (K), nitrogen (N), pH, electrical conductivity (EC), (C:N) cation exchange capacity (CEC), selected indicators based correlations, calculated adept opinions texture lime concretions experimental soil. by 23.34% T3W4 compared T1W1. 51.79% higher adoption T3W3 combinations. Therefore, considering both index, T3 W3 best among all others crop productivity region.
Language: Английский
Citations
0