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.
期刊：
Science of The Total Environment,2023年861:160695 ISSN：0048-9697
通讯作者：
Qiulin Liao<&wdkj&>Shouyun Shen
作者机构：
Cent South Univ Forestry Technol, Coll Landscape Architecture, Changsha 410004, Hunan, Peoples R China.;Cent South Univ Forestry & Technol, Hunan Prov Big Data Engn Technol Res Ctr Nat Rese, Inst Human Settlements & Great Infrastrucatre, Changsha, Peoples R China.;[Cao, Yuchi; Zhou, Zhen; Wang, Weiwei; Xiao, Peng; Liao, Jingpeng] College of Landscape Architecture, Central South University of Forestry Technology, Changsha 410004, Hunan, China<&wdkj&>Hunan Provincial Big Data Engineering Technology Research Center of Natural Reserve and Landscape Resource<&wdkj&>Institute of Human Settlements and Green Infrastructure of Central South University of Forestry and Technology
关键词：
Landscape conservation;Green space;Land use and land cover;Ecosystem services;Soil and Water Assessment Tool
摘要：
Since the implementation of landscape conservation of the green heart area in the Changsha-Zhuzhou-Xiangtan Met-ropolitan Region, the landscape structure and pattern have changed significantly. The ecosystem service functions in the area have been improved, but the status of ecohydrological and water quality and service functions (EHWQSFs) is still unclear. To clarify the status of EHWQSFs and their driving factors influenced by landscape conservation, this study analysed landscape changes using remote sensing image data from 1998, 2008, and 2018 and the changes and their spatial characteristics using the Soil and Water Assessment Tool (SWAT) and spatial analysis methods. The results showed that the dominant land types in the area were forestland and cropland from 1998 to 2018; the area of forestland and construction land expanded and that of cropland decreased year by year; the annual average surface runoff volume rose, and the annual average actual evapotranspiration and soil water content fell from 1998 to 2008 and rose from 2008 to 2018; and all pollutant indicators decreased significantly after 2008. The areas with higher sur-face runoff were mainly concentrated in the central and southern regions, those with higher evapotranspiration were in the northwestern and southwestern regions, those with higher soil water content were in the northern region, and those with higher sediment and nitrogen and phosphorus pollutant contents were in the central and southeastern re-gions. The results showed that land use, land cover and meteorological factors were the most significant drivers on EHWQSFs and illustrated that EHWQSFs in the area decreased after 1998. There was a significant improvement after 2008 and the area currently has a good status. This study not only provides insights into land use, land cover and meteorological factors that have significant impacts on EHWQSFs but also highlights that the landscape conserva-tion of the area can improve ecosystem service functions.
作者机构：
[Zhang, Hui; Zhang, Minhuan; Xiao, Peng; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;[Zhang, Hui; Zhang, Minhuan; Xiao, Peng; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Hunan Prov Big Data Engn Technol Res Ctr Nat Reser, Changsha 410004, Peoples R China.;[Zhang, Hui; Zhang, Minhuan; Xiao, Peng; Ma, Lehan; Shen, Shouyun; Chen, Jiaao; Liao, Qiulin] Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Changsha 410083, Peoples R China.;[Zhu, Ninghua] Cent South Univ Forestry & Technol, Coll Forestry, Changsha 410004, Peoples R China.
通讯机构：
[Zhang, MH; Shen, SY ] C;Cent South Univ Forestry & Technol, Coll Landscape Architecture, Changsha 410004, Peoples R China.;Hunan Prov Big Data Engn Technol Res Ctr Nat Reser, Changsha 410004, Peoples R China.;Cent South Univ Forestry & Technol, Inst Human Settlements & Green Infrastruct, Changsha 410083, Peoples R China.
关键词：
Rhododendron latoucheae;flower color regulation;metabolism group;transcriptome;flavonoids
摘要：
<jats:p>Rhododendron latoucheae Franch. (R. latoucheae) is a valuable woody plant known for its high ornamental value. While purple flowers are a distinct and attractive variant phenotype of R. latoucheae, the underlying mechanism regulating its flower color is still poorly understood. To investigate the molecular regulatory mechanism responsible for the variation in flower color, we selected plants with white-pink and purple petals as the object and conducted analyses of metabolites, key genes, and transcription factors associated with flower color. A combined metabolome–transcriptome analysis was performed, and the expression of key genes was subsequently verified through qRT-PCR experiments. The results of our study demonstrated a significant enrichment of differential metabolites in the flavonoid metabolic pathway. Changes in anthocyanin content followed the same trend as the observed flower color variations, specifically showing significant correlations with the contents of malvidin-3-O-glucoside, dihydromyricetin, gallocatechin, and peonidin-3-O-glucoside. Furthermore, we identified three key structural genes (F3GT1, LAR, ANR) and four transcription factors (bHLH130, bHLH41, bHLH123, MYB4) that are potentially associated with the biosynthesis of flavonoid compounds, thereby influencing the appearance of purple flower color in R. latoucheae.</jats:p>
