摘要：
The digital recognition and preservation of historical architectural heritage has become a critical challenge in cultural inheritance and sustainable urban development. While deep learning methods show promise in architectural classification, existing models often struggle to achieve ideal results due to the complexity and uniqueness of historical buildings, particularly the limited data availability in remote areas. Focusing on the study of Chinese historical architecture, this research proposes an innovative architectural recognition framework that integrates the Swin Transformer backbone with a custom-designed Global Channel and Spatial Attention (GCSA) mechanism, thereby substantially enhancing the model's capability to extract architectural details and comprehend global contextual information. Through extensive experiments on a constructed historical building dataset, our model achieves an outstanding performance of over 97.8% in key metrics including accuracy, precision, recall, and F1 score (harmonic mean of the precision and recall), surpassing traditional CNN (convolutional neural network) architectures and contemporary deep learning models. To gain deeper insights into the model's decision-making process, we employed comprehensive interpretability methods including t-SNE (t-distributed Stochastic Neighbor Embedding), Grad-CAM (gradient-weighted class activation mapping), and multi-layer feature map analysis, revealing the model's systematic feature extraction process from structural elements to material textures. This study offers substantial technical support for the digital modeling and recognition of architectural heritage in historical buildings, establishing a foundation for heritage damage assessment. It contributes to the formulation of precise restoration strategies and provides a scientific basis for governments and cultural heritage institutions to develop region-specific policies for conservation efforts.
摘要：
Urban street spaces play a crucial role in children's daily commuting and social activities. Therefore, the design of these spaces must give more consideration to children's perceptual preferences. Traditional street landscape perception studies often rely on subjective analysis, which lacks objective, data-driven insights. This study overcomes this limitation by using eye-tracking technology to evaluate children's preferences more scientifically. We collected eye-tracking data from 57 children aged 6-12 as they naturally viewed 30 images depicting school commuting environments. Data analysis revealed that the proportions of landscape elements in different street types influenced the visual perception characteristics of children in this age group. On well-maintained main and secondary roads, elements such as minibikes, people, plants, and grass attracted significant visual attention from children. In contrast, commercial streets and residential streets, characterized by greater diversity in landscape elements, elicited more frequent gazes. Children's eye-tracking behaviors were particularly influenced by vibrant elements like walls, plants, cars, signboards, minibikes, and trade. Furthermore, due to the developmental immaturity of children's visual systems, no significant gender differences were observed in visual perception. Understanding children's visual landscape preferences provides a new perspective for researching the sustainable development of child-friendly cities at the community level. These findings offer valuable insights for optimizing the design of child-friendly streets.
通讯机构：
[Zhang, MH ] C;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.
关键词：
DREB2A;HSFA3;High temperature treatment;Transcriptome analysis;Tree peony
摘要：
Paeonia suffruticosa is a plant of Paeonia in Paeoniaceae. It is an important woody ornamental flower in the world. High temperature in summer hinders the growth of tree peony and reduces its ornamental quality, which restricts the cultivation and application of tree peony in Jiangnan area of China. Paeonia suffruticosa 'Hu Hong' is a traditional Chinese tree peony variety with high ornamental value. It is an excellent parent material for cultivating heat-resistant peony. This paper selected the tree peony variety 'Hu Hong' as the material. The transcriptome data of Paeonia suffruticosa 'Hu Hong' at 0, 2, 6, 12 and 24 h after high temperature treatment were analyzed by RNA-Seq method. At each time point, a large number of significantly differentially expressed genes(DEGs) were screened between tree peony cultured at high temperature and room temperature. The analysis of the common DEGs in the four comparison groups showed that the differential genes were mainly enriched in the GO terms ' protein processing in endoplasmic reticulum', 'Pentose and glucuronate interconversions ', ' plant-pathogen interaction ', ' zeatin biosynthesis ', ' fatty acid elongation ', and ' plant hormone signal transduction ' pathways. Abscisic acid(ABA), ethylene(ET) and brassinosteroid(BR) signaling related genes were significantly up-regulated in 'Hu Hong' to resist high temperature treatment. In the auxin(IAA), cytokinin(CTK), gibberellin(GA), salicylic acid(SA) pathways, compared with the control group, the down-regulated expression was involved in hormone signal transduction to respond to high temperature treatment. A total of 62 TFs from 28 different families were annotated, with the AP2/ERF family annotating the largest number. Among the TFs annotated to the AP2/ERF family, the highest expression gene PsDREB2A was found. Overexpression of PsDREB2A Arabidopsis plants improved heat tolerance under high temperature treatment. However, silencing PsDREB2A in tree peony resulted in a heat-intolerant phenotype. PsDREB2A can directly bind to the DRE-core motif in the PsHSFA3 promoter to initiate its expression. In addition, PsHSFA3-overexpressing plants showed higher heat resistance, while PsHSFA3-silenced plants showed lower heat resistance. This study provides a scientific basis for in-depth study of the molecular mechanism of high temperature treatment response in tree peony, improving the heat signal transduction regulation network of tree peony, and mining heat-resistant related genes.
Paeonia suffruticosa is a plant of Paeonia in Paeoniaceae. It is an important woody ornamental flower in the world. High temperature in summer hinders the growth of tree peony and reduces its ornamental quality, which restricts the cultivation and application of tree peony in Jiangnan area of China. Paeonia suffruticosa 'Hu Hong' is a traditional Chinese tree peony variety with high ornamental value. It is an excellent parent material for cultivating heat-resistant peony. This paper selected the tree peony variety 'Hu Hong' as the material. The transcriptome data of Paeonia suffruticosa 'Hu Hong' at 0, 2, 6, 12 and 24 h after high temperature treatment were analyzed by RNA-Seq method. At each time point, a large number of significantly differentially expressed genes(DEGs) were screened between tree peony cultured at high temperature and room temperature. The analysis of the common DEGs in the four comparison groups showed that the differential genes were mainly enriched in the GO terms ' protein processing in endoplasmic reticulum', 'Pentose and glucuronate interconversions ', ' plant-pathogen interaction ', ' zeatin biosynthesis ', ' fatty acid elongation ', and ' plant hormone signal transduction ' pathways. Abscisic acid(ABA), ethylene(ET) and brassinosteroid(BR) signaling related genes were significantly up-regulated in 'Hu Hong' to resist high temperature treatment. In the auxin(IAA), cytokinin(CTK), gibberellin(GA), salicylic acid(SA) pathways, compared with the control group, the down-regulated expression was involved in hormone signal transduction to respond to high temperature treatment. A total of 62 TFs from 28 different families were annotated, with the AP2/ERF family annotating the largest number. Among the TFs annotated to the AP2/ERF family, the highest expression gene PsDREB2A was found. Overexpression of PsDREB2A Arabidopsis plants improved heat tolerance under high temperature treatment. However, silencing PsDREB2A in tree peony resulted in a heat-intolerant phenotype. PsDREB2A can directly bind to the DRE-core motif in the PsHSFA3 promoter to initiate its expression. In addition, PsHSFA3-overexpressing plants showed higher heat resistance, while PsHSFA3-silenced plants showed lower heat resistance. This study provides a scientific basis for in-depth study of the molecular mechanism of high temperature treatment response in tree peony, improving the heat signal transduction regulation network of tree peony, and mining heat-resistant related genes.
摘要：
Traditional villages, as integral components of cultures worldwide, preserve rich and irreplaceable tangible and intangible cultural heritage. However, due to China's rapid urbanization and the burgeoning rural tourism industry, the original landscape of traditional villages is being damaged. Therefore, their visual landscape quality must be scientifically evaluated and protected. This study explores the impact of landscape features on visual landscape quality. It considers Zhaoxing Dong and Basha Miao villages as case studies, utilizing 360-degree panoramic technology, a combination of scenic beauty estimation and semantic differential methods, and expert focus group discussions. The analyses revealed that eight landscape feature indicators significantly affect the visual landscape quality of traditional villages. Among these, landform diversity, waterscape, architectural style uniformity, historical sense of paved roads, folk activity landscape, and environmental cleanliness have a significant positive impact on visual landscape quality, whereas plant diversity and color richness exhibit complex bidirectional effects in enhancing visual landscape quality. Experts discussed the mechanisms underlying these influencing factors and proposed seven specific strategies and recommendations for protecting and enhancing the visual landscape quality of traditional villages: enhancing ecological aspects, preserving cultural heritage, improving infrastructure and environmental protection, encouraging community participation, developing relevant policies and regulations, promoting sustainable tourism development, and encouraging cross-sector cooperation with funding and technical support to ensure sustainable development.
Traditional villages, as integral components of cultures worldwide, preserve rich and irreplaceable tangible and intangible cultural heritage. However, due to China's rapid urbanization and the burgeoning rural tourism industry, the original landscape of traditional villages is being damaged. Therefore, their visual landscape quality must be scientifically evaluated and protected. This study explores the impact of landscape features on visual landscape quality. It considers Zhaoxing Dong and Basha Miao villages as case studies, utilizing 360-degree panoramic technology, a combination of scenic beauty estimation and semantic differential methods, and expert focus group discussions. The analyses revealed that eight landscape feature indicators significantly affect the visual landscape quality of traditional villages. Among these, landform diversity, waterscape, architectural style uniformity, historical sense of paved roads, folk activity landscape, and environmental cleanliness have a significant positive impact on visual landscape quality, whereas plant diversity and color richness exhibit complex bidirectional effects in enhancing visual landscape quality. Experts discussed the mechanisms underlying these influencing factors and proposed seven specific strategies and recommendations for protecting and enhancing the visual landscape quality of traditional villages: enhancing ecological aspects, preserving cultural heritage, improving infrastructure and environmental protection, encouraging community participation, developing relevant policies and regulations, promoting sustainable tourism development, and encouraging cross-sector cooperation with funding and technical support to ensure sustainable development.
摘要：
Leaves are the primary tissue for photosynthesis and transpiration, playing an irreplaceable role in the ecosystem. Understanding variations in leaf morphology across different populations is crucial for better insight into plant classification, evolution, and cultivation practices. From 10 populations of Lagerstroemia excelsa and 80 individual specimens, we measured key leaf traits, including leaf length (LL), leaf width (LW), leaf area (LA), leaf circumference (LC), leaf basal angle (LBA), and leaf vein angle (LVA), to determine the geographic variation trends in leaf morphology across natural populations. Our results revealed several important findings: 1) signifi- cant differences in leaf morphology were observed among the populations; 2) temperature appears to be a primary factor influencing the potential geographic distribution of L. excelsa; 3) the 10 populations were grouped into two main categories, indicating that similar germplasm tends to be distributed contiguously. These insights are valuable for future efforts in the introduction, breeding, selection, and cultivation of L. excelsa.
摘要：
Crape myrtle (Lagerstroemia L.), as a popular ornamental plant, holds significant importance in residents' daily lives by supporting ecosystem services, enhancing urban aesthetics, and even impacting biological health. There are notable variations among crape myrtle species across different geographical distributions. However, potential differences in residents' preferences for observing crape myrtle in various regions have not been thoroughly investigated. This study, based on a comprehensive analysis of 700 survey responses from diverse regions in China, sought to determine if discernible patterns exist in residents' preferences for crape myrtle. The results revealed that residents across different regions exhibited distinct preferences for various ornamental characteristics of crape myrtle. These differences were particularly pronounced in intangible aspects such as cultural expression, ecological value, and economic value. Furthermore, the study demonstrated that the factors driving market demand for ornamental crape myrtle varied substantially across different regional populations. In north China, the flowering period and leaf size were identified as the primary factors influencing market interest. For south China, both the flowering period and flower size were crucial determinants. In central China, the key factors were the flowering period and flower color. The market demand in east China was largely driven by flower size and the flowering period. In northeast China, flower color and planting form played pivotal roles, while in northwest China, spatial ambiance and plant phenotype were significant in shaping preferences. Finally, in southwest China, landscape type and fruit color were the primary factors influencing market demand. These findings provide valuable insights into the relationship between regional preferences and the prevalence of crape myrtle, highlighting the potential factors that shape aesthetic choices in different parts of China.
期刊：
Global Ecology and Conservation,2025年57:e03382 ISSN：2351-9894
通讯作者：
Wen, YF;Zhang, DL
作者机构：
[Xu, Liang; Wen, Yafeng; Yan, Yadan; Wang, Chuncheng; Zhao, Yanghui] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;[Zhang, Ying] Guizhou Normal Univ, Sch Karst Sci, Guiyang 550001, Guizhou, Peoples R China.;[Xu, Liang] Zhejiang Acad Foresty, Hangzhou 310023, Zhejiang, Peoples R China.;[Zhang, Donglin; Zhang, DL] Univ Georgia, Dept Hort, Athens, GA 30602 USA.;[Yan, Yadan; Wang, Chuncheng; Zhao, Yanghui; Wen, Yafeng] Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Wen, YF ] C;[Zhang, DL ] U;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;Univ Georgia, Dept Hort, Athens, GA 30602 USA.
关键词：
Ecological niche;Rhododendron;Leaf traits;Sympatric distribution
摘要：
Species sharing an environment face similar selective pressures, often evolving adaptive divergence traits to reduce competition. Quantifying ecological niche and phenotypic traits among sympatric species is crucial for understanding ecologically moderated biodiversity. We integrate ecological and phenotypic datasets to investigate the extent to which three sympatric alpine Rhododendron species in the mountainous southwest of China (parents: Rhododendron delavayi and R. irroratum ; natural hybrid: R. agastum ) differed in their adaptations to co-exist in a shared environment. We utilized principal component analysis, one-way analysis of variance, and niche-identity tests to summarize and compare environmental and phenotypic divergence. Leaf phenotypic traits related to structure, morphology, biomass, and physiology were analyzed, as they were key indicators of niche and phenotypic differences, crucial for the co-existence of sympatric Rhododendron species. We employed nested linear models, and phenotypic differentiation coefficients to assess inter- and intraspecific phenotypic variation. Pearson's correlation analysis and Mantel tests identified key environmental factors influencing leaf phenotypic variation. The results indicate that the three Rhododendron species exhibit different preferences for environmental factors such as annual mean temperature, temperature seasonality, annual precipitation, water vapor pressure, and soil organic matter. These distinct ecological preferences may represent specific ecological adaptations that facilitate their coexistence in sympatry. Leaf area, leaf length, leaf thickness, and leaf tissue density emerged as key indicators for distinguishing the leaf phenotypes of the three Rhododendron species. Elevation, temperature, and precipitation-related factors are significantly correlated with leaf phenotypic variation. The observed ecological niche and phenotypic differences observed likely resulted either causal effects or indirect consequences of ecologically mediated changes. Our study offered novel insights into the mechanisms underlying evolutionary versatility and ecological success among sympatric species.
Species sharing an environment face similar selective pressures, often evolving adaptive divergence traits to reduce competition. Quantifying ecological niche and phenotypic traits among sympatric species is crucial for understanding ecologically moderated biodiversity. We integrate ecological and phenotypic datasets to investigate the extent to which three sympatric alpine Rhododendron species in the mountainous southwest of China (parents: Rhododendron delavayi and R. irroratum ; natural hybrid: R. agastum ) differed in their adaptations to co-exist in a shared environment. We utilized principal component analysis, one-way analysis of variance, and niche-identity tests to summarize and compare environmental and phenotypic divergence. Leaf phenotypic traits related to structure, morphology, biomass, and physiology were analyzed, as they were key indicators of niche and phenotypic differences, crucial for the co-existence of sympatric Rhododendron species. We employed nested linear models, and phenotypic differentiation coefficients to assess inter- and intraspecific phenotypic variation. Pearson's correlation analysis and Mantel tests identified key environmental factors influencing leaf phenotypic variation. The results indicate that the three Rhododendron species exhibit different preferences for environmental factors such as annual mean temperature, temperature seasonality, annual precipitation, water vapor pressure, and soil organic matter. These distinct ecological preferences may represent specific ecological adaptations that facilitate their coexistence in sympatry. Leaf area, leaf length, leaf thickness, and leaf tissue density emerged as key indicators for distinguishing the leaf phenotypes of the three Rhododendron species. Elevation, temperature, and precipitation-related factors are significantly correlated with leaf phenotypic variation. The observed ecological niche and phenotypic differences observed likely resulted either causal effects or indirect consequences of ecologically mediated changes. Our study offered novel insights into the mechanisms underlying evolutionary versatility and ecological success among sympatric species.
通讯机构：
[Wen, YF ] C;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;Hunan Big Data Engn Technol Res Ctr Nat Protected, Nat Protected Areas Landscape Resources, Changsha 410004, Peoples R China.;Carbon Sinks Forests Variety Innovat Ctr, Yuelushan Lab, Changsha 410004, Peoples R China.
关键词：
Distribution boundaries;Genetic variation pattern;Interspecific divergence;Dispersal corridor;Taxus
摘要：
BACKGROUND: Phenotypic, ecological, and genetic differences are crucial for species delimitation and understanding speciation. However, the defining the distribution boundaries and mechanisms driving lineage differentiation of Taxus species in northern and central China remain unclear. This study combines three molecular markers (trnL-trnF, rbcL, ITS), leaf morphological, and ecological data, integrating multiple taxonomy, ecology, and phylogeography approaches to systematically investigate the taxonomic status and spatial genetic patterns of Taxus species in these regions. RESULTS: A total of 177 samples from 27 populations, representing the natural distribution of Taxus in central and northern China, were collected. T. chinensis (TC) mainly occurs from 1000-2400m in the south of Qinling Mountains, T. mairei (TM) from 100-1000m in the south of Daba Mountains, and T. qinlingensis (TQ) from 900-1800m in the north of Qinling Mountains. The three species overlap in the central Qinling, eastern Daba, and Wushan Mountains at elevations of 900-1800 m. Seventeen haplotypes and 21 ribotypes were identified, forming three clusters corresponding to TC, TM, and TQ. Both cpDNA and nDNA data reveals distinct phylogeographic structures, significant genetic differentiation, and smaller bidirectional gene flow among species. Genetic and niche play a more prominent role in species divergence than morphological traits. Effective population sizes and genetic diversity are higher in TC and TM than in TQ. Suitable habitats expanded southwestward after the Last Glacial Maximum (LGM) and are projected to shift northwestward and contract under future warming scenarios. CONCLUSION: Geologic movement (rapid uplift of the Qinling and surrounding mountains), climate fluctuations (cold-drying effect, and glacial-interglacial cycles), and habitat heterogeneity (gradients in geography and elevation) together shaped interspecific adaptive differentiation and shifts in population dynamics of the three Taxus species. The Qinling-Daba-Wushan mountain range likely played a key role in the independent evolution of these species in local glacial refugia and their post-glacial recontact at the intersection of these mountain ranges. This study provides new insights into the taxonomic status and genetic variation pattern of Taxus species in central and northern China.
作者机构：
[Luo, Duangao; Song, Rui; Jin, Hongzhou; Song, R] Cent South Univ Forestry & Technol, Logist Coll, Changsha 410004, Peoples R China.;[Xue, Xingjian] Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.
通讯机构：
[Song, R ] C;Cent South Univ Forestry & Technol, Logist Coll, Changsha 410004, Peoples R China.
关键词：
electric scooter supply chain;differential game;government subsidy;cost-sharing contract;sustainable transportation mode
摘要：
As a sustainable mode of transportation, the electric scooter offers residents a low-carbon, convenient, and fast travel option. However, its battery quality problem also brings safety risks that cannot be ignored. We construct eight different differential game models to investigate quality improvement strategies by battery makers and electric scooter manufacturers at the design and manufacturing stages. Our results show that the government subsidy is a better incentive for manufacturers to invest more in quality in the design and manufacturing steps than the cost-sharing contract. This leads to improvements in the product quality of electric scooters. The indicators of the discrete decision-making model without government subsidies and cost-sharing contracts are relatively low. Second, the quality of the electric scooter is affected by several key factors, including time, quality decay coefficient, and income distribution coefficient. Specifically, the quality of electric scooter products exhibits a positive correlation with time but gradually declines as the quality decay coefficient increases. Third, through specific numerical analyses, we further find that the income distribution coefficient affects the manufacturer's product quality inputs in the design and manufacturing process, the optimal revenues of upstream and downstream manufacturers, the cost-sharing ratio, and the government subsidy rate to varying degrees.
期刊：
Environmental and Experimental Botany,2024年225:105832 ISSN：0098-8472
通讯作者：
Xing, W;Li, ZQ
作者机构：
[Ding, Minghai; Yu, Qiuxiu; Jin, Xi; Xing, Wen; Sun, Jiahui] Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.;[Li, Zeqing] Hubei Univ Sci & Technol, Natl Forestry & Grassland Adm Engn Res Ctr Osmanth, Xianning 437100, Peoples R China.;[Ding, Minghai; Yu, Qiuxiu; Jin, Xi; Xing, Wen; Sun, Jiahui] Cent South Univ Forestry & Technol, Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.;[Ding, Minghai; Yu, Qiuxiu; Jin, Xi; Xing, Wen; Sun, Jiahui] Carbon Sinks Forests Variety Innovat Ctr, Yuelushan Lab, Changsha, Peoples R China.
通讯机构：
[Li, ZQ ] H;[Xing, W ] C;Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.;Hubei Univ Sci & Technol, Natl Forestry & Grassland Adm Engn Res Ctr Osmanth, Xianning 437100, Peoples R China.
关键词：
Rosa rugosa;RcHsf17;Thermotolerance;Cell wall biosynthesis;Photosynthesis;ROS
摘要：
Rosa rugosa, a species of notable economic importance, faces cultivation challenges attributed to its vulnerability to thermal stress. In this study, we report the molecular cloning and functional characterization of RcHsf17, a heat shock transcription factor (Hsf) from group B2, derived from the stress-resilient cultivar of Chinese rose, R. chinensis 'Slater's Crimson China'. RcHsf17, which localizes to the nucleus, is responsive to heat stress and various stress-related stimuli, such as abscisic acid (ABA), jasmonic acid (JA), salicylic acid (SA), and hydrogen peroxide (H2O2). The overexpression of RcHsf17 in transgenic Arabidopsis thaliana and R. rugosa significantly enhanced their thermotolerance. In R. rugosa, overexpression of RcHsf17 led to cell wall thickening, sustained photosynthetic efficiency, and decreased levels of reactive oxygen species (ROS) and malondialdehyde (MDA). Transcriptome analysis revealed that RcHsf17 upregulated the expression of other Hsfs such as HsfA3 and HsfB1, small heat shock protein genes (sHSPs), and genes involved in cell wall biosynthesis under normal conditions. Under heat stress condition, there is a significant upregulation of HsfA6B, gene associated with photosynthesis, and genes responsible for encoding antioxidant enzymes. These findings collectively emphasize the pivotal role of RcHsf17 in conferring thermotolerance to R. rugosa, through mechanisms that include strengthening cell wall integrity, alleviating heat-induced photosynthetic decline, and enhancing the efficiency of ROS detoxification pathways.
通讯机构：
[Huang, Y ] N;[Zhang, MH ] C;Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.;Nanning Univ, Coll Art & Design, Nanning 530200, Peoples R China.
关键词：
Tree peony;Root rot;Pathogenic fungi;Biological control;Biocontrol bacteria;Synthetic consortium
摘要：
Tree peony (Paeonia suffruticosa), a traditional Chinese cultivated flowering shrub and a prominent landscaping plant, is subject to root rot. The key symptoms of root rot include black roots and the yellowing of leaves. Biological control is an effective and eco-friendly strategy for managing this disease. This study focused on the isolation, identification, and biological control of the pathogens causing peony root rot. Utilizing tissue isolation, pathogenicity determination, and rDNA-ITS sequence analysis, Fusarium solani and Fusarium oxysporum were determined to be the primary causal agents of peony root rot. Illumina MiSeq high-throughput sequencing of 16 s-rDNA was used to investigate and characterize bacterial community structure and diversity in healthy and diseased peony roots, rhizosphere, and bulk soil. Results indicated that the presence of pathogenic fungi influences the structure of the rhizosphere bacterial community and that peony roots exhibit a strong selective effect on root bacterial colonization. Variations in the composition of the endophytic microbial community in healthy and diseased roots exceeded the variation in the rhizosphere. Proteobacteria and Actinobacteria are the dominant taxa in the rhizosphere and among root endophytes, comprising 90–96 % of the bacterial microbiota. The rhizosphere of healthy plants exhibits a significant enrichment in Proteobacteria (79.6 %) and Actinobacteria (14.9 %), while root endophytes in healthy plats exhibit enrichment in Proteobacteria (83.5 %). In contrast, the rhizosphere and root endophytes in diseased plants are abundant in Proteobacteria (69 % and 66.1 %, respectively). Notably, nine strains of biocontrol bacteria were isolated. Three synthetic bacterial consortia were then constructed based on inhibitory assays and the dissolving rates of phosphorus and potassium exhibited by the candidate bacteria. The synthetic bacterial consortia were evaluated for biocontrol and growth promotion properties. The constructed synthetic consortium with the best performance reduced the average morbidity and mortality of treated plants by 27.59 % and 55.56 %, respectively, compared to the untreated control. In summary, synthetic bacterial consortium I (SCI) exhibited the best disease control and growth-promoting effects on tree peony. Using a synthetic bacterial consortium represents a new and novel approach to the biological control of peony root rot.
Tree peony (Paeonia suffruticosa), a traditional Chinese cultivated flowering shrub and a prominent landscaping plant, is subject to root rot. The key symptoms of root rot include black roots and the yellowing of leaves. Biological control is an effective and eco-friendly strategy for managing this disease. This study focused on the isolation, identification, and biological control of the pathogens causing peony root rot. Utilizing tissue isolation, pathogenicity determination, and rDNA-ITS sequence analysis, Fusarium solani and Fusarium oxysporum were determined to be the primary causal agents of peony root rot. Illumina MiSeq high-throughput sequencing of 16 s-rDNA was used to investigate and characterize bacterial community structure and diversity in healthy and diseased peony roots, rhizosphere, and bulk soil. Results indicated that the presence of pathogenic fungi influences the structure of the rhizosphere bacterial community and that peony roots exhibit a strong selective effect on root bacterial colonization. Variations in the composition of the endophytic microbial community in healthy and diseased roots exceeded the variation in the rhizosphere. Proteobacteria and Actinobacteria are the dominant taxa in the rhizosphere and among root endophytes, comprising 90–96 % of the bacterial microbiota. The rhizosphere of healthy plants exhibits a significant enrichment in Proteobacteria (79.6 %) and Actinobacteria (14.9 %), while root endophytes in healthy plats exhibit enrichment in Proteobacteria (83.5 %). In contrast, the rhizosphere and root endophytes in diseased plants are abundant in Proteobacteria (69 % and 66.1 %, respectively). Notably, nine strains of biocontrol bacteria were isolated. Three synthetic bacterial consortia were then constructed based on inhibitory assays and the dissolving rates of phosphorus and potassium exhibited by the candidate bacteria. The synthetic bacterial consortia were evaluated for biocontrol and growth promotion properties. The constructed synthetic consortium with the best performance reduced the average morbidity and mortality of treated plants by 27.59 % and 55.56 %, respectively, compared to the untreated control. In summary, synthetic bacterial consortium I (SCI) exhibited the best disease control and growth-promoting effects on tree peony. Using a synthetic bacterial consortium represents a new and novel approach to the biological control of peony root rot.
摘要：
Forests are essential for maintaining species diversity, stabilizing local and global climate, and providing ecosystem services. Exploring the impact of paleogeographic events and climate change on the genetic structure and distribution dynamics of forest keystone species could help predict responses to future climate change. In this study, we combined an ensemble species distribution model (eSDM) and multilocus phylogeography to investigate the spatial genetic patterns and distribution change of Quercus glauca Thunb, a keystone of East Asian subtropical evergreen broad-leaved forest. A total of 781 samples were collected from 77 populations, largely covering the natural distribution of Q. glauca. The eSDM showed that the suitable habitat experienced a significant expansion after the last glacial maximum (LGM) but will recede in the future under a general climate warming scenario. The distribution centroid will migrate toward the northeast as the climate warms. Using nuclear SSR data, two distinct lineages split between east and west were detected. Within-group genetic differentiation was higher in the West than in the East. Based on the identified 58 haplotypes, no clear phylogeographic structure was found. Populations in the Nanling Mountains, Wuyi Mountains, and the southwest region were found to have high genetic diversity. A significant negative correlation between habitat stability and heterozygosity might be explained by the mixing of different lineages in the expansion region after LGM and/or hybridization between Q. glauca and closely related species. The Nanling Mountains may be important for organisms as a dispersal corridor in the west-east direction and as a refugium during the glacial period. This study provided new insights into spatial genetic patterns and distribution dynamics of Q. glauca.
摘要：
Accurate quantification of forest biomass (FB) is the key to assessing the carbon budget of terrestrial ecosystems. Using remote sensing to apply inversion techniques to the estimation of FBs has recently become a research trend. However, the limitations of vertical scale analysis methods and the nonlinear distribution of forest biomass stratification have led to significant uncertainties in FB estimation. In this study, the biomass characteristics of forest vertical stratification were considered, and based on the integration of random forest and least squares (RF-LS) models, the FB prediction potential improved. The results indicated that compared with traditional biomass estimation methods, the overall R2 of FB retrieval increased by 12.01%, and the root mean square error (RMSE) decreased by 7.50 Mg<middle dot>hm-2. The RF-LS model we established exhibited better performance in FB inversion and simulation assessments. The indicators of forest canopy height, soil organic matter content, and red-edge chlorophyll vegetation index had greater impacts on FB estimation. These indexes could be the focus of consideration in FB estimation using the integrated RF-LS model. Overall, this study provided an optimization method to map and evaluate FB by fine stratification of above-ground forest and reveals important indicators for FB inversion and the applicability of the RF-LS model. The results could be used as a reference for the accurate inversion of subtropical forest biomass parameters and estimation of carbon storage.
摘要：
Antimony pollution is well recognized to induce cancer and deformity. By polymerization technique, a carbon aerogel microsphere (Ce@SCA) modified by Ce and S with micron size, well-developed pore structure, and large specific surface area was created. Ce@SCA exhibited the advantages of efficient selectivity and high adsorption capacity for Sb(III) in water. The highest adsorption capacity derived using the Sips isothermal model was 345.18 mg∙g−1, and the Sb (III) adsorption process was thermodynamically estimated as spontaneous, exothermic, and entropy-decreasing chemisorption. Meanwhile, Ce@SCA can convert highly toxic Sb(Ⅲ) into Sb(Ⅴ), which is suitable for the remediation of antimony-contaminated water bodies. X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) were analyzed to elucidate the adsorption mechanism and to propose optimized adsorption configurations. A considerable number of –OH and -SH on the surface may increase the binding site of Sb, and the creation of S-Sb, O-Sb, and Ce-O-Sb covalent bonds was the key to Sb adsorption. This research provides a simple method for preparing cerium oxide-loaded and sulfur-doped carbon aerogel (Ce@SCA) with mild conditions and no hazardous waste, which also has superior adsorption properties for Sb (III) and high reusability.
Antimony pollution is well recognized to induce cancer and deformity. By polymerization technique, a carbon aerogel microsphere (Ce@SCA) modified by Ce and S with micron size, well-developed pore structure, and large specific surface area was created. Ce@SCA exhibited the advantages of efficient selectivity and high adsorption capacity for Sb(III) in water. The highest adsorption capacity derived using the Sips isothermal model was 345.18 mg∙g−1, and the Sb (III) adsorption process was thermodynamically estimated as spontaneous, exothermic, and entropy-decreasing chemisorption. Meanwhile, Ce@SCA can convert highly toxic Sb(Ⅲ) into Sb(Ⅴ), which is suitable for the remediation of antimony-contaminated water bodies. X-ray photoelectron spectroscopy (XPS) and density functional theory (DFT) were analyzed to elucidate the adsorption mechanism and to propose optimized adsorption configurations. A considerable number of –OH and -SH on the surface may increase the binding site of Sb, and the creation of S-Sb, O-Sb, and Ce-O-Sb covalent bonds was the key to Sb adsorption. This research provides a simple method for preparing cerium oxide-loaded and sulfur-doped carbon aerogel (Ce@SCA) with mild conditions and no hazardous waste, which also has superior adsorption properties for Sb (III) and high reusability.
期刊：
Journal of Cleaner Production,2024年458:142549 ISSN：0959-6526
通讯作者：
Wu, Z
作者机构：
[Li, Shaoying; Jiao, Zhenzhi; Luo, Yifan; Dai, Zhaolong; Wu, Zhuo] Guangzhou Univ, Sch Geog & Remote Sensing, Guangzhou 510006, Peoples R China.;[Wei, Baojing] Cent South Univ Forestry & Technol CSUFT, Inst Urban & Rural Landscape Ecol, Coll Landscape Architecture, Yuelushan Lab Variety Innovat Ctr,Hunan Prov Big D, Changsha 410004, Peoples R China.;[Wei, Baojing] CSUFT, Coll Life Sci & Technol, Natl Engn Lab Appl Technol Forestry & Ecol South C, Changsha 410004, Hunan, Peoples R China.;[Wu, Zhuo] Guangzhou Univ, Guangzhou Higher Educ Mega Ctr, Sch Geog & Remote Sensing, 230 Wai Huan Xi Rd, Guangzhou 510006, Peoples R China.
通讯机构：
[Wu, Z ] G;Guangzhou Univ, Guangzhou Higher Educ Mega Ctr, Sch Geog & Remote Sensing, 230 Wai Huan Xi Rd, Guangzhou 510006, Peoples R China.
关键词：
Modifiable areal unit problem;Ecological security pattern;Graph machine learning;Uncertainty;Landscape planning
摘要：
Ecological security pattern (ESP) provide a solution to balance ecosystems and urban development. The modifiable areal unit problem (MAUP) is a well-known geographical issue that affects the understanding of ecological processes and the results of spatial modeling. However, only a few studies have explicitly clarified the effects of MAUP on ESP. Herein, we propose new methods for identifying ecological sources and mapping the resistance surface, as well as a framework for analyzing the effects of MAUP on ESP. Our results indicate that (1) the datasets used for identifying ecological sources should possess a grain size of smaller than 300 x 300 m2. (2) The resistance surface directly influenced the results of the ecological corridors and nodes. (3) MAUP could generate uncertainties in ESP policymaking. Additionally, this study developed comprehensive network analysis tools based on graph machine learning to analyze the effect of MAUP on ESP policymaking, which can provide important landscape planning. The network analysis approaches may help policymakers gain a comprehensive understanding of the ESP network to improve the credibility of policies.
摘要：
为清晰认知儿童友好环境领域的研究范畴和发展过程,以2010-2023年Web of Science核心合集数据库中收录的与儿童友好环境相关的文献为研究数据,借助文献计量软件CiteSpace绘制儿童友好环境知识图谱,对儿童友好环境研究的发展态势、合作特征、关键词共现、时区分析等四个方面进行系统分析.以期能为深入理解儿童友好环境的内涵和未来建设方向提供参考.
作者机构：
[Xu, Xiao; Shen, Shouyun] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;[Xu, Xiao] Yunnan Univ Finance & Econ, Sch Logist & Management Engn, Kunming 650221, Peoples R China.;[Xu, Xiao; Shen, Shouyun] Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.;[Zhang, Xiaoli] Southwest Forestry Univ, Minist Educ, Key Lab Southwest Mt Forest Resources Conservat &, Kunming 650233, Peoples R China.;[Zhu, Guangyu] Cent South Univ Forest & Technol, Forestry Coll, Changsha 410004, Peoples R China.
通讯机构：
[Shen, SY ] C;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.
摘要：
The investigation of a potential correlation between the filtered-out vegetation index and forest aboveground biomass (AGB) using the conventional variables screening method is crucial for enhancing the estimation accuracy. In this study, we examined the Pinus densata forests in Shangri-La and utilized 31 variables to establish quantile regression models for the AGB across 19 quantiles. The key variables associated with biomass were based on their significant correlation with the AGB in different quantiles, and the QRNN and QRF models were constructed accordingly. Furthermore, the optimal quartile models yielding the minimum mean error were combined as the best QRF (QRFb) and QRNN (QRNNb). The results were as follows: (1) certain bands exhibited significant relationships with the AGB in specific quantiles, highlighting the importance of band selection. (2) The vegetation index involving the band of blue and SWIR was more suitable for estimating the Pinus densata. (3) Both the QRNN and QRF models demonstrated their optimal performance in the 0.5 quantiles, with respective R-2 values of 0.68 and 0.7. Moreover, the QRNNb achieved a high R-2 value of 0.93, while the QRFb attained an R-2 value of 0.86, effectively reducing the underestimation and overestimation. Overall, this research provides valuable insights into the variable screening methods that enhance estimation accuracy and mitigate underestimation and overestimation issues.
作者机构：
[Mi, Yi; Li, Sheng] Univ South China, Coll Songlin Architecture & Design Art, Hengyang 421001, Peoples R China.;[Wang, Zhiyuan] Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.
通讯机构：
[Wang, ZY ] C;Cent South Univ Forestry & Technol, Coll Landscape & Architecture, Changsha 410004, Peoples R China.
摘要：
This study aimed to analyze spatio-temporal changes in habitat quality in Chang-Zhu-Tan Urban Agglomeration during the 2000-2020 period and explore its topographic gradient effects. Using land use data from this period, the InVEST model was employed to assess the spatio-temporal variations in habitat quality. The bivariate spatial autocorrelation model was used to analyze the spatial correlation characteristics between habitat quality and various topographical factors. Additionally, terrain factor analysis was utilized to study the terrain gradient effects on habitat quality in the study area. The results reveal that: (1) The primary land use changes in the study area from 2000 to 2020 predominantly involve substantial arable land and forest conversions into urban development. (2) The average habitat quality indices for 2000, 2010, and 2020 in the Chang-Zhu-Tan Urban Agglomeration stand at 0.651, 0.622, and 0.606, respectively, indicating a consistent declining trend in habitat quality. The distribution of habitat quality grades demonstrates a spatial pattern of "lower in the central surroundings, higher in the surroundings." (3) The Chang-Zhu-Tan Urban Agglomeration shows significant positive correlations between habitat quality and topographical gradients. Spatial aggregation tendencies between habitat quality and topographical gradients primarily exhibit "high-high" and "low-low" clustering. (4) The habitat quality of the Chang-Zhu-Tan urban agglomeration exhibits a significant topographic gradient effect, primarily characterized by an increase in habitat quality with the rise of the topographic gradient. The study outcomes contribute to unveiling the spatiotemporal variations in habitat quality within the Chang-Zhu-Tan Urban Agglomeration. Moreover, leveraging different habitat types' distinctive terrain distribution characteristics, it proposes targeted habitat conservation measures, thereby offering theoretical support for biodiversity conservation and territorial spatial planning in the study area.
