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Article ; Online: Exploring Rural Resilient Factors Based on Spatial Resilience Theory

Yiwei Yang / Yanhui Wang

Land, Vol 12, Iss 1677, p

A Case Study of Southern Jiangsu

2023 Volume 1677

Abstract: In the process of rapid urbanization in China, rural areas are facing increasingly complex changes and challenges. Resilience theory provides a multidimensional perspective of the sustainable development of rural regions. As a subset of the broader ... ...

Abstract	In the process of rapid urbanization in China, rural areas are facing increasingly complex changes and challenges. Resilience theory provides a multidimensional perspective of the sustainable development of rural regions. As a subset of the broader resilience framework, spatial resilience focuses on inter-component relationships and systematic characteristics at the spatial level. It projects the potential of resilience theory into the spatial domain of human habitats. This paper endeavors to integrate spatial resilience theory into the field of rural built environments. At the village level, relevant factors were extracted, and an exploratory analysis focusing on rural spatial resilience was conducted. Twenty-one villages in southern Jiangsu at various resilience levels were selected as empirical cases. Fuzzy-set qualitative comparative analysis (fsQCA) was employed to identify four configurations with sufficient conditions for rural spatial resilience. Furthermore, through an analysis of typical villages, the effective mechanisms of the relevant resilience factors were also elucidated. Our findings reveal several key points: (1) rural spatial resilience relies on an optimal combination of multiple factors rather than a single factor; (2) there are multiple potential pathways through which to enhance rural resilience; (3) and the configuration analysis of the rural factors of spatial resilience helps to narrow the distance between spatial resilience theory and spatial practice. This study validates and refines the application of spatial resilience theory in the context of the rural built environment. Corresponding suggestions are proposed for building a resilient countryside, aiming to provide support and reference for future development strategies in rural areas.
Keywords	spatial resilience ; rural resilience ; qualitative comparative analysis ; fuzzy-set QCA ; rural built environment ; southern Jiangsu ; Agriculture ; S
Subject code	910
Language	English
Publishing date	2023-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: DMAU-Net

Yang Yang / Junwu Dong / Yanhui Wang / Bibo Yu / Zhigang Yang

Remote Sensing, Vol 15, Iss 1328, p

An Attention-Based Multiscale Max-Pooling Dense Network for the Semantic Segmentation in VHR Remote-Sensing Images

2023 Volume 1328

Abstract: High-resolution remote-sensing images cover more feature information, including texture, structure, shape, and other geometric details, while the relationships among target features are more complex. These factors make it more complicated for classical ... ...

Abstract	High-resolution remote-sensing images cover more feature information, including texture, structure, shape, and other geometric details, while the relationships among target features are more complex. These factors make it more complicated for classical convolutional neural networks to obtain ideal results when performing a feature classification on remote-sensing images. To address this issue, we proposed an attention-based multiscale max-pooling dense network (DMAU-Net), which is based on U-Net for ground object classification. The network is designed with an integrated max-pooling module that incorporates dense connections in the encoder part to enhance the quality of the feature map, and thus improve the feature-extraction capability of the network. Equally, in the decoding, we introduce the Efficient Channel Attention (ECA) module, which can strengthen the effective features and suppress the irrelevant information. To validate the ground object classification performance of the multi-pooling integration network proposed in this paper, we conducted experiments on the Vaihingen and Potsdam datasets provided by the International Society for Photogrammetry and Remote Sensing (ISPRS). We compared DMAU-Net with other mainstream semantic segmentation models. The experimental results show that the DMAU-Net proposed in this paper effectively improves the accuracy of the feature classification of high-resolution remote-sensing images. The feature boundaries obtained by DMAU-Net are clear and regionally complete, enhancing the ability to optimize the edges of features.
Keywords	high-resolution remote-sensing images ; ground object classification ; dense connections ; multiscale maximum pooling ; semantic segmentation ; Science ; Q
Subject code	004
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: Assessment of Land Degradation at the Local Level in Response to SDG 15.3

Zhanxing Li / Yanhui Wang / Junwu Dong / Xiaoyue Luo / Hao Wu / Yuan Wan

Sustainability, Vol 15, Iss 4392, p

A Case Study of the Inner Mongolia Region from 2000 to 2020

2023 Volume 4392

Abstract: SDG15.3 aims to achieve “Land Degradation Neutrality (LDN)”, but its only indicator (SDG15.3.1) is designed for national-level assessment and monitoring, and is not suitable for local-level applications. Thus, taking Inner Mongolia as the study area, ... ...

Abstract	SDG15.3 aims to achieve “Land Degradation Neutrality (LDN)”, but its only indicator (SDG15.3.1) is designed for national-level assessment and monitoring, and is not suitable for local-level applications. Thus, taking Inner Mongolia as the study area, this paper provides a localized reform of SDG15.3.1 based on the local context, and assesses the progress of SDG15.3 in the study area (2000-2020) at multiple levels (indicator, specific, and overall). The Moran’I and Standard Deviation Ellipse (SDE) are also utilized to analyze the spatial–temporal change of land degradation. The results show that as of 2020, the proportion of land degradation and improvement areas to the total area was 7.51% and 9.42%, respectively. Inner Mongolia had generally met the goal of SDG15.3, but on the indicator level, water erosion still falls far below the standard of SDG15.3. Additionally, at the spatial level, 3 out of 12 municipalities and 71 out of 103 counties had not achieved LDN, with a pattern of low LDN levels in the southeast and high in the northwest at the county scale. This indicates that the progress of SDG15.3 is extremely uneven both at the indicator and spatial levels. Thus, it is essential to continue to promote land degradation management in Inner Mongolia to achieve LDN in the entire area and across all aspects.
Keywords	sustainable development goal 15.3 ; land degradation neutrality (LDN) ; local level ; localized assessment ; spatial–temporal distribution ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	710
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Differentiated responses of daytime and nighttime sap flow to soil water deficit in a larch plantation in Northwest China

Zebin Liu / Songping Yu / Lihong Xu / Yanhui Wang / Pengtao Yu / Yang Chao

Agricultural Water Management, Vol 289, Iss , Pp 108540- (2023)

2023

Abstract: Tree transpiration contributes to the forest water budget and its environmental responses differ between daytime and nighttime. Elucidating these divergent responses separately from their biophysical controls is crucial for ascertaining the forest-water ... ...

Abstract	Tree transpiration contributes to the forest water budget and its environmental responses differ between daytime and nighttime. Elucidating these divergent responses separately from their biophysical controls is crucial for ascertaining the forest-water relationship in changing environments. To investigate the biophysical controls on daytime and nighttime sap flow (Qd and Qn), the sap flux density, meteorological conditions, soil moisture, and canopy leaf area index (LAI) were simultaneously monitored in a Larix principis-rupprechtii plantation in the Liupan Mountains of Northwest China during the growing seasons (June to September) of three hydrological years (2019, 2021, and 2022). The results showed that the main control factors for Qd and Qn varied depending on the timescale. The variation in Qd was mainly controlled by daytime solar radiation (Rd), vapour pressure deficit (VPDd), relative extractable soil water (REWd) and LAI at a daily scale, but only by Rd at a monthly scale and only by VPDd at an interannual scale. The variation in Qn was mainly controlled by the nighttime vapour pressure deficit (VPDn) and relative extractable soil water (REWn), LAI, and Qd at a daily scale but only by VPDn at monthly and interannual scales. The responses of Qd and Qn to soil water deficit were different and varied by timescale. At the daily scale, the effect of VPDd on Qd became weak, while the effect of VPDn on Qn became strong in drier years (2021 and 2022). At the monthly scale, as the main controlling factor of the monthly variation in Qd (Qn), Rd (VPDn) played a decisive role in the wet (dry) months. At the interannual scale, VPD limited Qd but drove Qn, leading to a decrease in Qd and an increase in Qn with increasing soil water deficit. Overall, our findings revealed the different responses of Qd and Qn to biophysical factors and underscored that Qd and Qn should be explored both separately and synchronously; additionally, our results indicated that the proportion of Qn might increase if soil water stress is ...
Keywords	Larix principis-rupprechtii plantation ; Transpiration ; Biophysical controls ; Soil water stress ; Multiple timescales ; Agriculture (General) ; S1-972 ; Agricultural industries ; HD9000-9495
Subject code	550
Language	English
Publishing date	2023-11-01T00:00:00Z
Publisher	Elsevier
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A New Approach of 3D Lightning Location Based on Pearson Correlation Combined with Empirical Mode Decomposition

Yanhui Wang / Yingchang Min / Yali Liu / Guo Zhao

Remote Sensing, Vol 13, Iss 3883, p

2021 Volume 3883

Abstract: To improve the accuracy of pulse matching and the mapping quality of lightning discharges, the Pearson correlation method combined with empirical mode decomposition (EMD) is introduced for discharge electric field pulse matching. This paper uses the new ... ...

Abstract	To improve the accuracy of pulse matching and the mapping quality of lightning discharges, the Pearson correlation method combined with empirical mode decomposition (EMD) is introduced for discharge electric field pulse matching. This paper uses the new method to locate the lightning channels of an intra-cloud (IC) lightning flash and a cloud-to-ground (CG) lightning flash and analyzes the location results for the two lightning flashes. The results show that this method has a good performance in lightning location. Compared with the pulse-peak feature matching method, the positioning results of the new method are significantly improved, which is mainly due to the much larger number of positioning points (matched pulses). The number of located radiation sources has increased by nearly a factor of seven, which can significantly improve the continuity of the lightning channel and clearly distinguish the developmental characteristics. In the CG flash, there were three negative recoil streamers in the positive leader channel. After the three negative recoil streamers were finished, taking approximately 1 ms, 12 ms, and 2 ms, respectively, the negative leader channel underwent a K -process. The three negative recoil streamers are not connected to the K -processes in the negative leader channel. We think that the three negative recoil streamers may have triggered the three K -processes, respectively.
Keywords	lightning 3D location ; EMD ; Pearson correlation ; pulse matching ; negative recoil streamer ; Science ; Q
Subject code	600
Language	English
Publishing date	2021-09-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Modelling cascading failures in networks with the harmonic closeness.

Yucheng Hao / Limin Jia / Yanhui Wang / Zhichao He

PLoS ONE, Vol 16, Iss 1, p e

2021 Volume 0243801

Abstract: Many studies on cascading failures adopt the degree or the betweenness of a node to define its load. From a novel perspective, we propose an approach to obtain initial loads considering the harmonic closeness and the impact of neighboring nodes. Based on ...

Abstract	Many studies on cascading failures adopt the degree or the betweenness of a node to define its load. From a novel perspective, we propose an approach to obtain initial loads considering the harmonic closeness and the impact of neighboring nodes. Based on simulation results for different adjustable parameter θ, local parameter δ and proportion of attacked nodes f, it is found that in scale-free networks (SF networks), small-world networks (SW networks) and Erdos-Renyi networks (ER networks), there exists a negative correlation between optimal θ and δ. By the removal of the low load node, cascading failures are more likely to occur in some cases. In addition, we find a valuable result that our method yields better performance compared with other methods in SF networks with an arbitrary f, SW and ER networks with large f. Moreover, the method concerning the harmonic closeness makes these three model networks more robust for different average degrees. Finally, we perform the simulations on twenty real networks, whose results verify that our method is also effective to distribute the initial load in different real networks.
Keywords	Medicine ; R ; Science ; Q
Subject code	000
Language	English
Publishing date	2021-01-01T00:00:00Z
Publisher	Public Library of Science (PLoS)
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Moving Object Detection in Traffic Surveillance Video

Xiaoyue Luo / Yanhui Wang / Benhe Cai / Zhanxing Li

ISPRS International Journal of Geo-Information, Vol 10, Iss 742, p

New MOD-AT Method Based on Adaptive Threshold

2021 Volume 742

Abstract: Previous research on moving object detection in traffic surveillance video has mostly adopted a single threshold to eliminate the noise caused by external environmental interference, resulting in low accuracy and low efficiency of moving object detection. ...

Abstract	Previous research on moving object detection in traffic surveillance video has mostly adopted a single threshold to eliminate the noise caused by external environmental interference, resulting in low accuracy and low efficiency of moving object detection. Therefore, we propose a moving object detection method that considers the difference of image spatial threshold, i.e., a moving object detection method using adaptive threshold (MOD-AT for short). In particular, based on the homograph method, we first establish the mapping relationship between the geometric-imaging characteristics of moving objects in the image space and the minimum circumscribed rectangle (BLOB) of moving objects in the geographic space to calculate the projected size of moving objects in the image space, by which we can set an adaptive threshold for each moving object to precisely remove the noise interference during moving object detection. Further, we propose a moving object detection algorithm called GMM_BLOB (GMM denotes Gaussian mixture model) to achieve high-precision detection and noise removal of moving objects. The case-study results show the following: (1) Compared with the existing object detection algorithm, the median error (MD) of the MOD-AT algorithm is reduced by 1.2–11.05%, and the mean error (MN) is reduced by 1.5–15.5%, indicating that the accuracy of the MOD-AT algorithm is higher in single-frame detection; (2) in terms of overall accuracy, the performance and time efficiency of the MOD-AT algorithm is improved by 7.9–24.3%, reflecting the higher efficiency of the MOD-AT algorithm; (3) the average accuracy (MP) of the MOD-AT algorithm is improved by 17.13–44.4%, the average recall (MR) by 7.98–24.38%, and the average F1-score (MF) by 10.13–33.97%; in general, the MOD-AT algorithm is more accurate, efficient, and robust.
Keywords	video GIS ; moving object detection ; threshold differentiation ; MOD-AT ; BLOB ; mapping relationship ; Geography (General) ; G1-922
Language	English
Publishing date	2021-11-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Effects of Topography and Social Position on the Solar Radiation of Individual Trees on a Hillslope in Northwest China

Jiamei Li / Pengtao Yu / Yanfang Wan / Yanhui Wang / Bingbing Liu / Yipeng Yu

Forests, Vol 14, Iss 561, p

2023 Volume 561

Abstract: Solar radiation is a key factor influencing the photosynthesis and transpiration of trees. In mountainous regions, solar radiation income exhibits strong spatial heterogeneity due to topographical variations and the structural complexity of the forest. ... ...

Abstract	Solar radiation is a key factor influencing the photosynthesis and transpiration of trees. In mountainous regions, solar radiation income exhibits strong spatial heterogeneity due to topographical variations and the structural complexity of the forest. However, how the solar radiation income of individual trees in different social positions varies with slope position remains unclear. In this study, the daily solar radiation of the horizontal ground ( R h ), different slope positions (i.e., at different locations on a hillslope, R s ) and individual trees with different social positions in the forest ( R i ) were monitored from May to October in 2020 and 2021. The daily solar radiation income of a single hillslope ( R f ) was applied to quantify the R s response to the slope and aspect (i.e., slope effect) and the shade from the opposite mountain (i.e., shaded terrain effect). Our results showed that the R f was 27.8% lower than R h due to the slope effect of the sample slope. In the different slope positions, 2.7%–46.9% of solar radiation was lost due to the shaded terrain effect. A stronger limitation of R s by the shaded terrain effect was detected on the bottom slope compared to that of the upper slope. The better the social position of an individual tree (i.e., tree dominance ( Dom ) and the distance between trees ( D )), the more solar radiation it received, ranging from 22.4 to 95.3%. The dominant factor contributing to changes in R i was slope position followed by D and Dom and, finally, R h . These results provide an important basis for understanding the role of topography and tree social positions in solar radiation income in mountainous regions. Forest management measures should be varied with slope positions in mountainous regions, and forest density (i.e., distance between trees) should be considered as a key factor to optimize the forest functions.
Keywords	solar radiation ; individual trees ; topography ; social position ; Plant ecology ; QK900-989
Subject code	290
Language	English
Publishing date	2023-03-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Heat Shock Cognate 70 kDa Protein Is the Target of Tetradecyl 2,3-Dihydroxybenzoate for Neuritogenic Effect in PC12 Cells

Lihong Cheng / Yanhui Wang / Lan Xiang / Jianhua Qi

Biomedicines, Vol 9, Iss 1483, p

2021 Volume 1483

Abstract: Tetradecyl 2,3-dihydroxybenzoate (ABG-001) is a lead compound derived from gentisides with a remarkable neuritogenic activity. However, the target of ABG-001 is yet to be defined to date. In this study, the potential target of ABG-001 was investigated ... ...

Abstract	Tetradecyl 2,3-dihydroxybenzoate (ABG-001) is a lead compound derived from gentisides with a remarkable neuritogenic activity. However, the target of ABG-001 is yet to be defined to date. In this study, the potential target of ABG-001 was investigated via an activity-based protein profiling (ABPP) analysis, which is a chemical proteomic method for target identification by using chemical probes. Results indicated that the potential target proteins of ABG-001 were heat shock cognate 70 kDa protein (Hsc70), 78 kDa glucose-regulated protein (GRP78), and 14-3-3 theta protein. Then, the potential target of ABG-001 was confirmed by using inhibitors, the cellular thermal shift assay (CETSA) and small-interfering RNA (siRNA) analysis. The inhibitor of Hsc70 and siRNA significantly decreased the neurite outgrowth induced by ABG-001. Furthermore, ABG-001 induced neurite outgrowth was reduced by siRNA against Hsc70, and the results of CETSA suggested that Hsc70 showed a significant thermal stability-shifted effect upon ABG-001 treatment. These results indicated that Hsc70 is the target protein of ABG-001 in PC12 cells.
Keywords	neurodegenerative disease ; Alzheimer’s disease ; ABPP ; target identification ; PC12 cells ; Biology (General) ; QH301-705.5
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Elevated CO 2 Altered Rice VOCs Aggravate Population Occurrence of Brown Planthoppers by Improving Host Selection Ability

Yanhui Wang / Runzhao Li / Xiaohui Wang / Xiaowei Liu / Fajun Chen

Biology, Vol 11, Iss 882, p

2022 Volume 882

Abstract: It is predicted that plant volatile organic compounds (VOCs) are affected by the atmospheric CO 2 levels rising globally, which further affects the interaction between plants and herbivorous insects, especially the host selection behavior of herbivorous ... ...

Abstract	It is predicted that plant volatile organic compounds (VOCs) are affected by the atmospheric CO 2 levels rising globally, which further affects the interaction between plants and herbivorous insects, especially the host selection behavior of herbivorous insects. In this study, the effects of elevated CO 2 on the host-selection behavior of the brown planthopper (BPH) Nilaparvata lugens , and the emission of VOCs from the healthy and BPH-damaged rice plants were studied simultaneously to make clear the population occurrence of BPH under global climate change. Compared with ambient CO 2 , elevated CO 2 significantly increased the host selection percent of BPH for the healthy (CK) and BPH-damaged rice plants, and the host selection percent of BPH for the BPH-damaged rice plants was significantly higher than that for the healthy rice plants under elevated CO 2 , which might be regulated by the transcription levels of OBP1 , OBP2 and CSP8 in BPH due to the upregulated transcriptional levels of these three genes of BPH under elevated CO 2 . In addition, we analyzed and quantified the emission of VOCs in rice plants grown under ambient CO 2 and elevated CO 2 by GS-MS. A total of 36 VOCs from rice plants were identified into eight categories, including alkanes, alkenes, alcohols, aldehydes, ketones, esters, phenols and aromatic hydrocarbons. Elevated CO 2 significantly decreased the contents of heptadecane, linalool and limonene from rice plants compared with ambient CO 2 . Besides, the contents of linalool, phytol, decanal, 1-methyldecalin and 2,6-diphenylphenol from BPH-damaged rice plants under ambient CO 2 , and undecane, hexadecane, nonanal and 2,6-diphenylphenol from BPH-damaged rice plants under elevated CO 2 were all significantly higher than those from healthy rice plants. The percentage composition of phenols was positively correlated with the host selection rate of BPH. Our study indicates that elevated CO 2 is beneficial to promote the host selection ability of BPH for rice plants damaged by BPHs due to the ...
Keywords	elevated CO 2 ; rice plants ; volatile organic compounds ; Nilaparvata lugens ; host selection behavior ; Biology (General) ; QH301-705.5
Subject code	580
Language	English
Publishing date	2022-06-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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