Examining the landscape transformation and temperature dynamics in Pakistan DOI Creative Commons
Afia Ali, Bilal Hussain,

Riaz Ul Hissan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 20, 2025

This study aims to examine the landscape transformation and temperature dynamics using multiple spectral indices. The processes of temporal fluctuations in land surface is strongly related morphological features area which determined, given factors significantly affect thermal properties surface. research being conducted Pakistan identify vegetation cover, water bodies, impervious surfaces, decadal remote sensing data with four intervals during 1993–2023 Mardan division, Khyber Pakhtunkhwa. To analyze dynamics, used indices including Land Surface Temperature, Normalized Difference Vegetation Index, Water Built-up Bareness Index by employing Google Earth Engine cloud computing platform. results suggest that there are differences type temperature, ranging from 15.58 °C 43.71 period. Nevertheless, larger were found cover protective forests area, especially northwestern southeastern parts system. These highlighted complexity relationship between regarding need for

Language: Английский

Codium fragile (Suringar) Hariot as Biostimulant Agent to Alleviate Salt Stress in Durum Wheat: Preliminary Results from Germination Trials DOI Creative Commons
Angelo Rossini, Roberto Ruggeri, Nada Mzid

et al.

Plants, Journal Year: 2024, Volume and Issue: 13(2), P. 283 - 283

Published: Jan. 18, 2024

Soil salinization is a critical environmental problem in arid and semiarid regions of the world. The aim present study was to evaluate effect an algae-based biostimulant on germination seedling vigour durum wheat (Triticum turgidum L. subsp. (Desf.) Husn.), under different saline conditions (0, 100, 200 mM NaCl). experiment carried out controlled-environment conditions. Seeds were sprayed with solution containing combination fungicide concentrations Codium fragile (Suringar) Hariot algae (0%w/v, 10%w/v, 20%w/v, 30%w/v). All experimental units placed cabinet. seaweed extract (SWE) seed performance salinity stress evaluated over period 8 days. Coleoptile length biomass found be significantly positively affected by application SWE doses as compared control treatment (0% algae). As for traits, seeds treated showed final (from 82% 88%), severe conditions, higher than that observed (61%). Our findings indicate appropriate dose can markedly improve seedlings Additional studies will needed understand mechanism action this its effectiveness longer field

Language: Английский

Citations

9

Predicting soil erosion risk using the revised universal soil loss equation (RUSLE) model and geo‐spatial methods DOI
Syed Ali Asad Naqvi, Aqil Tariq,

Mudsar Shahzad

et al.

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(8)

Published: Aug. 1, 2024

Abstract Anthropogenic activities like overgrazing, deforestation and mismanaged land use accelerate soil erosion (SE), causing nutritional organic matter loss. In this study, we predicted the annual rate of loss in Salt Range, extending south from Pothohar plateau, Pakistan, using Revised Universal Soil Loss Equation (RUSLE). The RUSLE model parameters probability zones were estimated remote sensing Geo‐Spatial methods. average rates calculated by considering five geo‐environmental factors, that is, slope length steepness (LS), rainfall erosivity (R), cover management (C), erodibility (K), conservation practice (P) range 0–559 527, 1404–4431, 0–1, −0.14 to 1.64, 0.2–122 respectively. This research determined yearly SE Range varies over 50 above 350 . distribution area across different reveals a small portion (2.11%) is classified as High, moderate (7.13%) falls under category Moderate, while majority (90.7%) Low terms proneness towards erosion. devoid vegetation characterized steep slopes especially prone SE. highly vulnerable risk due climatic variations improper practices. result provides spatial salt range, utilized for planning processes at policy level among decision‐makers land‐use planners.

Language: Английский

Citations

9

Status of the World's Soils DOI Open Access
Pete Smith, Rosa M. Poch, David A. Lobb

et al.

Annual Review of Environment and Resources, Journal Year: 2024, Volume and Issue: 49(1), P. 73 - 104

Published: Sept. 4, 2024

Healthy soils contribute to a wide range of ecosystem services and virtually all the UN Sustainable Development Goals, but most world's soil resources are in only fair, poor, or very poor condition, conditions getting worse more cases than they improving. A total 33% moderately highly degraded as result erosion, loss organic matter, nutrient balance, salinization alkalinization, contamination, acidification, biodiversity, sealing, compaction, water status. Best management practices available limit mitigate threats health, many them multiple threats. In regions world, policies initiatives protect enhance status place, need be strengthened enforced. The Food Agriculture Organisation will publish its second comprehensive assessment 2025, this review provides an interim update on world offers accessible overview topic.

Language: Английский

Citations

9

Artificial intelligence in soil microbiome analysis: a potential application in predicting and enhancing soil health—a review DOI Creative Commons
Roberta Pace,

Vincenzo Schiano Di Cola,

Maurilia Maria Monti

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: 7(2)

Published: Jan. 16, 2025

Abstract Soil is a depletable and non-renewable resource essential for food production, crop growth, supporting ecosystem services, such as the retaining cycling of various elements, including water. Therefore characterization preservation soil biological health key point development sustainable agriculture. We conducted comprehensive review use Artificial Intelligence (AI) techniques to develop forecasting models based on microbiota data able monitor predict health. also investigated potentiality AI-based Decision Support Systems (DSSs) improving microorganisms enhance fertility. While available studies are limited, potential applications AI seem relevant predictive fertility, its properties activities, implement precision agriculture, safeguarding ecosystems, bolstering resilience, ensuring production high-quality food.

Language: Английский

Citations

1

Examining the landscape transformation and temperature dynamics in Pakistan DOI Creative Commons
Afia Ali, Bilal Hussain,

Riaz Ul Hissan

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 20, 2025

This study aims to examine the landscape transformation and temperature dynamics using multiple spectral indices. The processes of temporal fluctuations in land surface is strongly related morphological features area which determined, given factors significantly affect thermal properties surface. research being conducted Pakistan identify vegetation cover, water bodies, impervious surfaces, decadal remote sensing data with four intervals during 1993–2023 Mardan division, Khyber Pakhtunkhwa. To analyze dynamics, used indices including Land Surface Temperature, Normalized Difference Vegetation Index, Water Built-up Bareness Index by employing Google Earth Engine cloud computing platform. results suggest that there are differences type temperature, ranging from 15.58 °C 43.71 period. Nevertheless, larger were found cover protective forests area, especially northwestern southeastern parts system. These highlighted complexity relationship between regarding need for

Language: Английский

Citations

1