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Article ; Online: Multi-Directional Rather Than Unidirectional Northward-Dominant Range Shifts Predicted under Climate Change for 99 Chinese Tree Species

Guoqing Li / Jinghua Huang

Forests, Vol 13, Iss 10, p

2022 Volume 1619

Abstract: Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the ... ...

Abstract	Climate change has a profound impact on the distribution of species on Earth. At present, there are two contrasting views explaining the direction of species range shifts. One is a single poleward (northward in the Northern Hemisphere) view, while the other is a multi-directional view (e.g., westward, southward, and eastward). Exploring the universality of these two views has become a key focus in climate change ecology. Here, we study the habitat range shift velocity of 99 tree species in China under future climate change scenarios using a bioclimatic envelope model (also called species distribution model) and a climate velocity method. A Monte Carlo method is used to test the consistency between the range shift pattern and stochastic process, and confusion matrices and kappa values are calculated to evaluate the consistency between the bioclimatic envelope model and climate velocity method. The results indicate that the tree species in China are generally expected to shift northwards, with northwest and northeast directions accounting for a larger proportion. The northward-shifting species are mainly distributed in the east monsoon region of China, while the multi-directional shifting species are mainly distributed in the alpine and arid regions of China. The shift directions described by the bioclimatic envelope model are inconsistent with those described by the climate velocity method. The results imply that the tree species in China support the view of the northward shift pattern but, more specifically, should be considered in terms of a multi-directional northward shift pattern. The results also emphasize that the inter-species variation in climate tolerance has been largely ignored in physical-based climate velocity methods. The development of a biological and vector operation-based climate velocity indicator may be more useful in characterizing the range shifts of species, compared to existing physical and scalar operation-based climate velocity indicators. This study provides favorable evidence for the ...
Keywords	range shift ; climate velocity ; climate change ; multi-directional and unidirectional ; projection method ; East Asian ; Plant ecology ; QK900-989
Subject code	333
Language	English
Publishing date	2022-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Onshore wind farms do not affect global wind speeds or patterns

Guoqing Li / Chuncheng Yan / Haipeng Wu

Heliyon, Vol 9, Iss 1, Pp e12879- (2023)

2023

Abstract: The proportion of global electricity generated by wind is increasing. There are concerns that onshore wind farms may affect local winds and/or patterns, with impacts on local ecosystems. Global-scale evaluations of these impacts are lacking. To ... ...

Abstract	The proportion of global electricity generated by wind is increasing. There are concerns that onshore wind farms may affect local winds and/or patterns, with impacts on local ecosystems. Global-scale evaluations of these impacts are lacking. To investigate this issue, we used TerraClimate and ERA5 datasets covering the years 1980–1999 to judge the impact of onshore wind farms on wind speeds (at 10 m and 100 m elevations) and their distribution patterns. Winds were compared in two periods approximately representing periods without (1980–1999) and with (2001–2020) large-scale wind farms in existence. The TerraClimate dataset shows that 10 m wind speeds decreased at wind farm locations, while the wind speed distribution patterns did not change significantly. However, in the densest wind farm areas, the 10 m wind speeds actually increased. Analysis of the ERA5 data showed no significant changes in 10 m and 100 m wind speeds or distribution patterns at wind farm locations. The influence of wind farms on local and global wind speeds was slight and far less than that of oceanic/atmospheric oscillations. In the long term, the potential for onshore wind farms to reduce global wind speeds or affect their distribution patterns is very small.
Keywords	Wind farms ; Wind turbines ; Wind speed ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The Law and Mechanism of the Effect of Surface Roughness on Microwave-Assisted Rock Breaking

Fangfang Chen / Guoqing Li / Zhiqiang Zhang / Zhanqiang Wu

Applied Sciences, Vol 14, Iss 1, p

2023 Volume 207

Abstract: In physical engineering, a rock surface, whether naturally or artificially formed, is rough. When irradiating rocks, microwaves produce reflections and diffractions on the surface of rough rocks, which significantly affect the absorption of microwave ... ...

Abstract	In physical engineering, a rock surface, whether naturally or artificially formed, is rough. When irradiating rocks, microwaves produce reflections and diffractions on the surface of rough rocks, which significantly affect the absorption of microwave energy by rocks, thus influencing the result of microwave irradiation. In order to explore the influence of rough rock surfaces on the effect of microwave-assisted rock breaking, microwave irradiation tests were carried out on basalt samples with different values of roughness to test the temperature and P-wave velocity of the samples before and after microwave irradiation. Numerical test methods were used to systematically study the influence of rough rock surfaces on microwave irradiation. The results show that, under the same microwave irradiation conditions, the effect of microwave irradiation on rough surface basalt is more significant than that of flat surface basalt. The surface temperature distribution range of flat surface specimens is narrow, the surface temperature range of rough surface specimens is wider and more inhomogeneous, and the maximum surface temperatures of rough surface specimens are much higher than those of flat surface specimens. After irradiation, new macroscopic cracks were generated on the surface of the samples, and the crack propagation of the rough surface samples was more obvious. The decrease in P-wave velocity before and after the irradiation of flat surface samples is small, and that of rough surface samples is larger. The main factors affecting the effect of microwave irradiation on the rough surface are the refraction and reflection of electromagnetic waves, heat conduction, and stress concentration on the surface.
Keywords	microwave irradiation ; surface roughness ; crack propagation ; thermal stress ; thermal conduction ; Technology ; T ; Engineering (General). Civil engineering (General) ; TA1-2040 ; Biology (General) ; QH301-705.5 ; Physics ; QC1-999 ; Chemistry ; QD1-999
Subject code	530
Language	English
Publishing date	2023-12-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Spatial-Temporal Evolution and Cross-Industry Synergy of Carbon Emissions

Feng Dong / Guoqing Li / Yajie Liu / Qing Xu / Caixia Li

Sustainability, Vol 15, Iss 3881, p

Evidence from Key Industries in the City in Jiangsu Province, China

2023 Volume 3881

Abstract: Cross-industry synergistic emission reduction has become a new strategy for achieving a carbon emissions peak and carbon neutrality. To explore the typical spatial distribution and cross-industry synergy effect of carbon emissions in key industries, this ...

Abstract	Cross-industry synergistic emission reduction has become a new strategy for achieving a carbon emissions peak and carbon neutrality. To explore the typical spatial distribution and cross-industry synergy effect of carbon emissions in key industries, this paper analyzes the carbon emissions of coal and power industries in Jiangsu Province from 2006 to 2020 using the empirical orthogonal function (EOF) and a panel vector autoregressive (PVAR) model. The results show that: (1) The distribution of coal resources determines the distribution of carbon emissions in the coal industry. Carbon emissions in the power industry have two typical distributions: consistent changes in cities and a “south-north” inverse phase, with a cumulative variance contribution rate of 86.74%. (2) The impulse response of carbon emissions from the coal industry to the power industry is >0 in the first period. There is a synergistic relationship of carbon emissions from the energy consumption side to the energy production side. (3) The shock effect of carbon emissions on economic development is >0. In resource-based cities, economic development explains about 2% of carbon emission fluctuations in the coal industry and 9.9% in the power industry, which is only 2% in non-resource-based cities. Carbon emissions would promote economic development. However, the impact of economic development on them varies significantly by industry and region. These findings can provide scientific support for developing differentiated measures to carbon emissions reduction and serve as an important reference role for other regions to promote collaborative carbon emission reduction in key industries.
Keywords	cross-industry ; spatial-temporal evolution ; carbon synergy ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	670
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Intelligent Safety Risk Analysis and Decision-Making System for Underground Metal Mines Based on Big Data

Xingbang Qiang / Guoqing Li / Jie Hou / Xia Zhang / Yujia Liu

Sustainability, Vol 15, Iss 10086, p

2023 Volume 10086

Abstract: In view of the new situation faced by safety risk management in underground metal mines, based on a comprehensive analysis of the current situation of mine safety management business and system construction requirements, the main functional modules, ... ...

Abstract	In view of the new situation faced by safety risk management in underground metal mines, based on a comprehensive analysis of the current situation of mine safety management business and system construction requirements, the main functional modules, overall architecture, and data interaction mode of the intelligent safety risk analysis and decision-making system were analyzed and designed. On the basis of elaborating the implementation process of the main functional modules of the system, such as multi-source safety information collection and governance, and safety risk intelligence analysis and visualization, a safety risk intelligence analysis and decision-making system was constructed, which provided efficient and real-time intelligent application and analysis services for safety in the production of underground metal mines and realized the whole process information management of collection, aggregation, processing, analysis, and visual display of multi-source mine safety risk information. The application of the system has made an essential change in the mode of mine safety risk management, realizing the active safety management goal of shifting safety risk management from post-analysis to pre-prevention, helping to improve the pertinence and efficiency of safety risk management, and greatly reducing the risk of mine safety accidents.
Keywords	safety risk management ; underground metal mines ; big data analysis ; system construction ; intelligent mining ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	600
Language	English
Publishing date	2023-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Requirement-driven remote sensing metadata planning and online acquisition method for large-scale heterogeneous data

Shuang Wang / Guoqing Li / Wenyang Yu / Yue Ma

Geo-spatial Information Science, Vol 0, Iss 0, Pp 1-

2021 Volume 13

Abstract: Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. ...

Abstract	Remote sensing data acquisition is one of the most essential processes in the field of Earth observation. However, traditional methods to acquire data do not satisfy the requirements of current applications because large-scale data processing is required. To address this issue, this paper proposes a data acquisition framework that carries out remote sensing metadata planning and then realizes the online acquisition of large amounts of data. Firstly, this paper establishes a unified metadata cataloging model and realizes the catalog of metadata in a local database. Secondly, a coverage calculation model is presented, which can show users the data coverage information in a selected geographical region under the data requirements of a specific application. Finally, according to the data retrieval results and the coverage calculation, a machine-to-machine interface is provided to acquire target remote sensing data. Experiments were conducted to verify the availability and practicality of the proposed framework, and the results show the strengths and powerful capabilities of our framework by overcoming deficiencies in traditional methods. It also achieved the online automatic acquisition of large-scale heterogeneous remote sensing data, which can provide guidance for remote sensing data acquisition strategies.
Keywords	online data acquisition ; remote sensing metadata planning ; metadata cataloging model ; coverage calculation ; machine-to-machine interface ; Mathematical geography. Cartography ; GA1-1776 ; Geodesy ; QB275-343
Subject code	550
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	Taylor & Francis Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: HexTile

Xiaochuang Yao / Guojiang Yu / Guoqing Li / Shuai Yan / Long Zhao / Dehai Zhu

ISPRS International Journal of Geo-Information, Vol 12, Iss 89, p

A Hexagonal DGGS-Based Map Tile Algorithm for Visualizing Big Remote Sensing Data in Spark

2023 Volume 89

Abstract: The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an ... ...

Abstract	The advent of the era of big remote sensing data has transformed traditional data management and analysis models, among which visualization analysis has gradually become an effective method, and map tiles for remote sensing data have always played an important role. However, in high-latitude regions, especially in polar regions, the deformation caused by map projection still exists, which lowers the accuracy of global or large-scale visual analysis, as well as the execution efficiency of big data. To solve the above problems, this paper proposes an algorithm called HexTile, which uses a hexagonal discrete global grid system (DGGS) model to effectively avoid problems caused by map projection and ensure global consistency. At the same time, the algorithm was implemented based on the Spark platform, which also has advantages in efficiency. Based on the DGGS model, hierarchical hexagon map tile construction and a visualization algorithm were designed, including hexagonal slicing, merging, and stitching. The above algorithms were parallelized in Spark to improve the big data execution efficiency. Experiments were carried out with Landsat-8, and the results show that the HexTile algorithm can not only guarantee the quality of global data, but also give full play to the advantages of the cluster in terms of efficiency. Additionally, the visualization was conducted with Cesium and OpenLayers to validate the integration and completeness of hexagon tiles. The scheme proposed in this paper could provide a reference for spatiotemporal big data visualization technology.
Keywords	HexTile ; DGGS ; big remote sensing data ; visualization ; Spark ; Geography (General) ; G1-922
Language	English
Publishing date	2023-02-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Molecular Characteristics and Prognostic Role of MFAP2 in Stomach Adenocarcinoma

Fenfen Tang / Chaoyi Hu / Zhi Long / Yanping Liu / Guoqing Li

Journal of Healthcare Engineering, Vol

2022 Volume 2022

Abstract: Molecular characteristics and prognostic role of MFAP2 were by no means stated. The MFAP2 expression and prognostic prices in this study, with Cox analysis, was employed to develop a predictive fee for MFAP2. To know about coexpression and practical ... ...

Abstract	Molecular characteristics and prognostic role of MFAP2 were by no means stated. The MFAP2 expression and prognostic prices in this study, with Cox analysis, was employed to develop a predictive fee for MFAP2. To know about coexpression and practical networks associated with MFAP2, LinkedOmics and GEPIA2 have been used. MFAP2 expression has been increased and verified in many unbiased coalitions in TCGA-STAD tumor tissues. In addition, in each TCGA and various cohorts, increased MFAP2 was linked with lower survival. Evaluation by Cox revealed the unbiased danger to average survival, disease-specific survival, and progression-free survival of STAD used to be due to the elevated expression of MFAP2. Active community assessed the MFAP2, through which more than a few cancer-associated kinases and E2F household pathways are regulated, which shows that MFAP2 affects RNA transportation, oocyte meiosis, spliceosome, and ribosome biogenesis. MFAP2 can predict and is linked to the prediction of STAD independently. The closure of the MFAP2 link to the macrophage marker genes is, in particular, the achievable core of immune response.
Keywords	Medicine (General) ; R5-920 ; Medical technology ; R855-855.5
Subject code	570
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Black locust (Robinia pseudoacacia L.) range shifts in China

Guoqing Li / Paul C. Rogers / Jinghua Huang

Climate Change Ecology, Vol 2, Iss , Pp 100036- (2021)

Application of a global model in climate change futures

2021

Abstract: Black locust (Robinia pseudoacacia L.) has been widely used to restore degraded land in northern China for many decades, and the forest has become an important ecosystem in China. However, there is still knowledge gap about how the range shift of black ... ...

Abstract	Black locust (Robinia pseudoacacia L.) has been widely used to restore degraded land in northern China for many decades, and the forest has become an important ecosystem in China. However, there is still knowledge gap about how the range shift of black locust in response to future climate change, which is the first step for adaptive management of black locust. Here, a global niche model of black locust was established by means of maximum entropy model (MaxEnt), 1174 global occurrences data, as well as 13 climatic variables. Then, the global niche model was projected to China under current climate (2000) and four future climate scenarios (2080). The results showed that the range of black locust is mainly controlled by temperature related variables rather than precipitation related variables. The latitude of potential range of black locust is mainly between 23° and 40° in China with the area of occupation being about 26.7% (25.7 × 105 km2) of China's total land area. Future climate is conducive to the northward expansion of black locust in China with a speed of 21 km/decade, as well as an upward shift with a speed of 9.6 m/decade across climate scenarios. Relatively high stable ranges (87–94%) and quick range shift speed implies that little vulnerability of black locust in response to climate change, as well as little risk of extinction in China.
Keywords	Forest management ; Climate change ; Species distribution model ; Climatic tolerance ; Afforestation ; Black locust ; Ecology ; QH540-549.5
Language	English
Publishing date	2021-12-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Application Error Analysis of SOC Estimation of Pure Electric Vehicles Based on Kalman Signal Big Data Algorithm

Zhaona Lu / Junlong Wang / Chuanxing Wang / Guoqing Li

Advances in Multimedia, Vol

2021 Volume 2021

Abstract: The state of charge estimation of a pure electric vehicle power battery pack is one of the important contents of the battery management system. Improving the estimation accuracy of the battery pack’s SOC is conducive to giving full play to its ... ...

Abstract	The state of charge estimation of a pure electric vehicle power battery pack is one of the important contents of the battery management system. Improving the estimation accuracy of the battery pack’s SOC is conducive to giving full play to its performance and preventing overcharge and discharge of a single battery. At present, the open-circuit voltage ampere-hour integral method is traditionally used to estimate the SOC value of the battery pack; however, this estimation method is not accurate enough to correct the initial value of SOC and cannot solve the problem of current time integration error between this correction and the next correction. As for the battery performance and characteristics of electric vehicles, it is pointed out that the size of the model value will affect the estimation accuracy of the Kalman signal value. Based on the analysis of the factors to be referred to in the calculation and estimation of SOC by Kalman for pure electric vehicles, the scheme is improved considering the change of battery model value, and the Kalman scheme is proposed. The feasibility and accuracy of the scheme are proved by several battery simulation experiments.
Keywords	Electronic computers. Computer science ; QA75.5-76.95
Subject code	518
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Hindawi Limited
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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