Sedimentary organic molecular compositions reveal the influence of glacier retreat on ecology on the Tibetan Plateau

Shi, Shanming; Xu, Hai; Shui, Yong; Liu, Dandan; Xie, Qiaorong; Ke, Zhou; Zhang, Jin; Song, Yunping; Wang, Jing; Hu, Chukun; Fu, Pingqing

doi:10.1016/j.scitotenv.2023.163629

Cited by 4 publications

(2 citation statements)

References 47 publications

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“…Conversely, this practice promoted an increase in the values of condensed aromatic compounds, fluorescence compound 4 , highly unsaturated and phenolic compounds, and polyphenolic compounds. It is worth noting that both changes in DOM chemodiversity may reduce soil microbial activity and soil nutrient cycling, thereby diminishing soil quality and health [ 29 , 30 ]. Habitat simplification, promoted by pasture and deforestation, strongly influences energy provision and nutrient availability through litter and root diversity compared to the primary Amazon rainforest [ 4 ].…”

Section: Discussionmentioning

confidence: 99%

Chemodiversity of Dissolved Soil Organic Matter from Amazon Rainforest as Influenced by Deforestation

Souza,

Araujo,

Cassimiro

et al. 2024

Metabolites

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Many biogeochemical processes are modulated by dissolved organic matter (DOM), but the drivers influencing the chemodiversity of DOM compounds in Amazonian soils are poorly understood. It has also been theorized whether deforestation controls the decline of DOM. In this study, we collected soil samples from thirty sites across different regions of Brazil’s Legal Amazon, and we investigated the trade-offs among soil physical–chemical properties and DOM chemodiversity. We employed optical spectroscopy, Fourier transform ion cyclotron resonance, and multivariate analysis. Our results indicated that, despite variations in land use and soil physical–chemical properties, factors such as the deforested site, geometric mean diameter, weighted average diameter, and soil organic carbon were the main influencers of DOM chemodiversity variation. These findings highlight the importance of considering DOM chemodiversity as closely related to land use and its potential use in developing deforestation models for predicting soil quality decline in Brazil’s Legal Amazon.

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Section: Discussionmentioning

confidence: 99%

Chemodiversity of Dissolved Soil Organic Matter from Amazon Rainforest as Influenced by Deforestation

Souza,

Araujo,

Cassimiro

et al. 2024

Metabolites

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“…On the other hand, in the past 30 years, the trend of global warming has become more and more obvious; combined with the impact of human activities, various ecological, geological and environmental factors on the plateau have undergone rapid adaptive changes, such as the sharp retreat of the modern glacier snow line, the reduction in water wetland area, the expansion of desertification, the degradation of grassland, the melting of the permafrost layer and the occurrence of geological disasters such as collapse, landslide and debris flow. These changes not only deteriorate the ecological environment quality of the Qinghai-Tibet Plateau itself but also adversely affect the ecological environment quality of eastern China and the sustainable development of the social economy in China [20][21][22]. Therefore, an eco-geological survey should be carried out in the Qinghai-Tibet Plateau, and the spatial distribution pattern, change law and geological process should be studied as a whole so as to obtain the integrated ecology-soil-water-weathering crust-rock information above and below the ground, scientifically assess the ecological situation and evaluate the quality of the ecological environment of the Qinghai-Tibet Plateau.…”

Section: Literature Reviewmentioning

confidence: 99%

Practical Exploration of Eco-Geological Survey Mapping in Qinghai–Tibet Plateau: Framework, Standard and Preliminary Cost Estimation

Luo,

Tao,

Zhong

et al. 2023

Sustainability

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It is a common responsibility of all countries to protect the ecological environment and promote sustainable development. Eco-geology, which provides a basic guarantee for the rational utilization of natural resources, ecological protection and restoration, has gradually become a new hot spot of geological survey institutions in various countries. Eco-geological survey in the Qinghai–Tibet Plateau plays an important role in regional ecological protection and global change research. Setting up workable budgets symbolizes the competence of geological survey organizations in fulfilling their responsibilities, and unreliable cost estimates can cause economic and political complications. The unclear scope definition and scarcity of project information available at early stages make it hard to generate reliable preliminary cost estimates. Hence, based on historical data and the practical experience of scientists who have been engaged in eco-geological survey in the Qinghai–Tibet Plateau for a long time, this research aimed to develop a cost estimation model using statistical learning methods for geological survey organizations to forecast preliminary costs during the early stages of an eco-geological survey project to fulfill different cost control and managerial functions. This research makes full use of modern remote sensing technology and reasonably arranges the input of ground survey, drilling, geophysical exploration and other workloads, supplemented by the existing ecological monitoring station data. It comprehensively sorts out the work means and workload of field and office work needed to complete the map work, and it puts forward a consistent index system and preliminary cost calculation framework. On this basis, based on the principle of matching quantity and price, a reasonable budget standard or market price is selected to calculate the budget estimate of a single map sheet, and then, through the regional adjustment coefficient, the budget estimate of a map sheet covering the whole Qinghai–Tibet Plateau is extended and calculated. The budget estimate will provide effective support for the declaration of eco-geological survey projects in the Qinghai–Tibet Plateau and the calculation of the scale of project funds so as to ensure the smooth development of eco-geological surveying in the region.

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Modelling Potential Zones of Gangotri Glacier Using GIS and ML in the Wake of Physico-Climatic Factors

Khan,

Mohsin,

Ajmal

et al. 2024

Climate Change, Vulnerabilities and Adaptation

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Sedimentary organic molecular compositions reveal the influence of glacier retreat on ecology on the Tibetan Plateau

Cited by 4 publications

References 47 publications

Chemodiversity of Dissolved Soil Organic Matter from Amazon Rainforest as Influenced by Deforestation

Chemodiversity of Dissolved Soil Organic Matter from Amazon Rainforest as Influenced by Deforestation

Practical Exploration of Eco-Geological Survey Mapping in Qinghai–Tibet Plateau: Framework, Standard and Preliminary Cost Estimation

Modelling Potential Zones of Gangotri Glacier Using GIS and ML in the Wake of Physico-Climatic Factors

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