Effects of Forest Land Mulching on the Soil CO2 Emission Rate of Phyllostachys violascens Forests

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 106 - 106

Published: Jan. 9, 2025

This study investigates the dynamics of soil CO2 emissions during cover period Phyllostachys violascens and impact different measures, aiming to provide references for reducing environmental effects bamboo cover. An L27 (913) orthogonal experimental design was employed, setting following variables: (1) heating materials: chicken manure, straw cake, wheat ash; (2) thickness husk layer: 15 cm, 25 35 cm; (3) moisture levels before covering: 10 20 cm. The emission rate showed a unimodal curve, with significant overall increase period. Throughout entire period, average (25.39 μmol·m−2·s−1) 5.1 times higher than that uncovered Lei forest (5.02 same Thicker layers (25 cm cm) corresponded rates, differences noted among thicknesses. When moist highest (62.51 μmol·m−2·s−1); resulted in significantly lower rates. Chicken manure produced peak third week, at 70.64 μmol·m−2·s−1, while cake ash reached their peaks fifth 66.56 μmol·m−2·s−1 57.58 respectively. interactions between three factors (heating materials, layer thickness, levels) affected By optimally configuring these factors, can be regulated. recommends using or as combined moistening covering. approach effectively reduces total ensuring suitable temperatures growth shoots spring. research provides scientific basis management forests, aiding optimization covering measures achieve low-carbon sustainable management.

Language: Английский

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Improving Washington Navel orange yield under drought: effects of artificial mulch and shade netting

The Journal of Horticultural Science and Biotechnology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 18

Published: Feb. 2, 2025

Language: Английский

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Straw strip mulch improves soil moisture similar to plastic film mulch but with a higher net income

Agriculture Ecosystems & Environment, Journal Year: 2023, Volume and Issue: 362, P. 108855 - 108855

Published: Dec. 16, 2023

Language: Английский

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Optimizing stubble returning rate in mulched farmland to balance trade-offs between greenhouse gas emission and maize yield under climate change

Field Crops Research, Journal Year: 2025, Volume and Issue: unknown, P. 109964 - 109964

Published: May 1, 2025

Language: Английский

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Optimal nitrogen management increased topsoil organic carbon stock and maintained whole soil inorganic carbon stock to increase soil carbon stock—A 15-year field evidence

Agriculture Ecosystems & Environment, Journal Year: 2024, Volume and Issue: 379, P. 109365 - 109365

Published: Nov. 13, 2024

Language: Английский

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Unveiling the impact of mulching film promotion on the food–water–environment–plastic nexus

Resources Conservation and Recycling, Journal Year: 2024, Volume and Issue: 209, P. 107780 - 107780

Published: June 19, 2024

Language: Английский

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Temperature increase may not necessarily penalize future yields of three major crops in Xinjiang, Northwest China

Agricultural Water Management, Journal Year: 2024, Volume and Issue: 304, P. 109085 - 109085

Published: Sept. 27, 2024

Language: Английский

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Nano-Food Farming Approaches to Mitigate Heat Stress under Ongoing Climate Change: A Review

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 656 - 656

Published: April 24, 2024

Increased heat stress is a common feature of global climate change and can cause adverse impacts on crops from germination through maturation harvest. This review focuses the extreme (>35 °C) plants their physiology how they affect food water security. The emphasis what be done to minimize negative effects stress, which includes application various materials approaches. Nano-farming highlighted as one promising approach. Heat often combined with drought, salinity, other stresses, together whole agroecosystem, including soil, plants, water, farm animals, leading serious implications for resources. Indeed, there no single remedy or approach that overcome such grand issues. However, nano-farming part an adaptation strategy. More studies are needed verify potential benefits nanomaterials but also investigate any side-effects, particularly under intensive nanomaterials, problems this might create, nanotoxicity.

Language: Английский

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Macroplastics Quantity and Its Influence on Soil Nutrients in Typical Plastic Film Mulching Farmland in Northern Xinjiang

Agriculture, Journal Year: 2024, Volume and Issue: 14(5), P. 734 - 734

Published: May 9, 2024

Plastic film mulching (PFM) technology plays an important role in agricultural production “drought and cold” regions, macroplastics pollution farmland has become a major concern affecting the sustainable development of regional production. However, there remains lack research on effects application characteristics soil nutrients farmland. In this study, plastic macroplastics, their effect typical cropland northern Xinjiang were explored by field review relevant literature. It was found that average annual growth rate higher areas where amount, usage intensity, proportion lower. The amount input key factor macroplastics. positively correlated with organic carbon content negatively available phosphorus; however, it had no potassium. is necessary to take immediate action regarding impact nutrients, order establish response dual challenges food security terms prevention control measures.

Language: Английский

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A Lightweight Transformer-Based Spatiotemporal Analysis Prediction Algorithm for High-Dimensional Meteorological Data

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4545 - 4545

Published: Dec. 4, 2024

High-dimensional meteorological data offer a comprehensive overview of conditions. Nevertheless, predicting regional high-dimensional poses challenges due to the vast scale and rapid changes. Apart from slow conventional numerical weather prediction methods, recently developed deep learning methods often fail fully integrate spatial information require significant amount computational resources. This paper presents spatiotemporal analysis fitting algorithm (SA-Fit), an approximation for prediction. SA-Fit proposes two key designs achieve efficient data. introduces lightweight Transformer-based network encode information, which can interaction between different coordinates in Furthermore, explicit functions with lasso penalty fit variations data, achieving large minimal values. We performed experiments using ERA5 dataset Shanghai Xi’an regions. The experimental results show that is comparable other advanced overall performance. shortens training time significantly reduces model parameters while Transformer structure ensure accuracy.

Language: Английский

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