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.
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.
作者：
Su, Xijing;Liu, Luyun;Yi, Pei;Chen, Cunyou;Zhang, Minhuan
期刊：
International Journal of Biometeorology,2024年68(8):1483-1496 ISSN：0020-7128
通讯作者：
Liu, LY
作者机构：
[Yi, Pei; Zhang, Minhuan; Liu, Luyun; Chen, Cunyou; Su, Xijing] Cent South Univ Forestry & Technol, Sch Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;[Su, Xijing] Tianjin Chengjian Univ, Sch Architecture, Tianjin 300384, Peoples R China.;[Chen, Cunyou] Hunan Big Data Engn Technol Res Ctr Nat Protected, Changsha 410004, Peoples R China.
通讯机构：
[Liu, LY ] C;Cent South Univ Forestry & Technol, Sch Landscape Architecture, Changsha 410004, Hunan, Peoples R China.
关键词：
High-density central district;Morphological spatial pattern;K-means clustering;Thermal environment;ENVI-met simulation
摘要：
Intense urban development and high urban density cause the thermal environment in urban centers to deteriorate continuously, affecting the quality of the living environment. In this study, 707.49 hectares of land in the central area of Changsha were divided into 121 plots. 11 microclimate-related morphological indicators were comprehensively selected, and the K-means method was used for cluster analysis. Then, the relationship between morphological clusters and the thermal environment was explored by simulating the thermal environment of the study area with ENVI-met. First, five spatial types were found to characterize the area: high-level with high floor area ratio, low density, and low greenery; middle-level with high floor area ratio high density; medium-capacity with high density and small volume; low-level with low density and high greenery; and low floor area ratio, low density, and high greenery. Second, the building windward surface density, sky openness, building density, floor area ratio and green space rate affect the thermal environment. Third, Cluster3 had the highest average air temperature (Ta), followed by Cluster5, furthermore Clusters4, 1, and2 had relatively low Ta. The spatial vitality index and green space rate in Cluster1; the area-weighted building shape index, average building volume and sky openness in Cluster2; green space rate in Cluster3; indicators such as the floor area ratio and green space rate in Cluster4; indicators such as the impervious surface rate and green space rate in Cluster5 had greater influences on Ta. Fourthly, simply increasing the area of green space cannot maximize the cooling effect of green spaces. Instead, constructing an equalized greening network can better regulate the thermal environment. Fifthly, the results provide a scientific basis for the design and the regulation of urban centers.
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：
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.
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.
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：
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.
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.
摘要：
As a popular ornamental plant and an effective species for controlling rocky desertification, the identification and protection of potential habitats of Lagerstroemia excelsa habitats hold significant importance. To gain a comprehensive understanding of the natural resources and growing conditions for L. excelsa, predictive modeling was employed to estimate the potential geographical distribution of the species during the Mid-Holocene (MH), the present, and the years 2050 and 2070. The projection was based on current occurrences, and we selected the relevant environmental attributes through the Pearson analysis and the Maximum Entropy Model (MaxEnt). The analysis revealed that temperature and precipitation are the primary environmental factors influencing L. excelsa distribution, with the Wuling Mountains identified as a center distribution hub for this species. The anticipated suitable area for L. excelsa is expected to experience marginal expansion under future climate scenarios. These results are invaluable for guiding the protection and sustainable utilization of L. excelsa in the face of climate change. Additionally, the data generated can be leveraged for enhanced introduction, breeding, selection, and cultivation of L. excelsa, taking into account the challenges posed by global warming.
期刊：
Sustainable Cities and Society,2024年106:105383 ISSN：2210-6707
通讯作者：
Chen, JA
作者机构：
[Zhao, Dongrui; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin; Cao, Yuchi; Huang, Ruiheng; Liao, Jingpeng; Xiao, Peng; Jiang, Qingchu; Wang, Weiwei; Liu, Yifan; Zhang, Xinxin; Shao, Xuanying; Lv, Xinyi; Zeng, Shuqin] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;[Zhao, Dongrui; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin; Cao, Yuchi; Huang, Ruiheng; Liao, Jingpeng; Xiao, Peng; Jiang, Qingchu; Wang, Weiwei; Liu, Yifan; Zhang, Xinxin; Shao, Xuanying; Lv, Xinyi; Zeng, Shuqin] Hunan Prov Big Data Engn Technol Res Ctr Nat Reser, Nanyang, Peoples R China.;[Zhao, Dongrui; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin; Cao, Yuchi; Huang, Ruiheng; Liao, Jingpeng; Xiao, Peng; Jiang, Qingchu; Wang, Weiwei; Liu, Yifan; Zhang, Xinxin; Shao, Xuanying; Lv, Xinyi; Zeng, Shuqin] Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Changsha, Peoples R China.;[Chen, Jiaao] Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Coll Landscape Architecture, Hunan Prov Big Data Engn Technol Res Ctr Nat Reser, 498 South Shaoshan Rd, Changsha 410004, Hunan, Peoples R China.
通讯机构：
[Chen, JA ] C;Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Coll Landscape Architecture, Hunan Prov Big Data Engn Technol Res Ctr Nat Reser, 498 South Shaoshan Rd, Changsha 410004, Hunan, Peoples R China.
关键词：
Built environment;Neighborhood;Healthy environment;COVID-19;Multi-agent modeling
摘要：
Many studies have dealt with the relationship between the built environment and COVID-19 infection in isolation. However, the research approaches were often inadequate in accurately reflecting the risk of COVID-19 infection. Therefore, we aim to develop a novel approach to study the risk of COVID-19 infection and its Environmental Influence Factors (EIFs) at the neighborhood scale. We constructed a multi-agent model of the spatial environment of residential quarters, including models of behavior and COVID-19 infection dynamics, and established 24 experimental schemes based on the Prevention and Control Measures (PCMs) of zonal control, mask-wearing, and outing frequency to simulate and assess the infection risk. The results show that the areas of accessible wood, hard surfaces, and seating are high-risk sites for infection. Zonal control and mask-wearing are effective PCMs, and the EIFs we set all play significant roles in influencing infection risk. Our study provides insight into the effects of PCMs and EIFs related to COVID-19 infection and highlights that the novel approach not only reveals the levels of infection risk and its mechanisms but also detects the spatio-temporal characteristics of behaviors and infection. This novel approach, dealing with individuals, space, environment, behavior, PCMs, and COVID-19 infection dynamics in integration, overcomes the limitations of traditional methods that overlook the influences of the spatio-temporal dynamics of individual behaviors and their environmental factors. It offers theoretical support for designing healthy outdoor built environments and technical support for the PCMs of the epidemic.
