摘要：
传统聚落集聚了大量的古代建筑和民俗等传统文化资源，以其突出的历史、文化和艺术等价值而备受关注，提取其丰富的历史文化信息并服务于现代产业发展具有积极的意义。针对当前尚缺乏从地理知识提取和表达视角对传统聚落丰富的历史文化信息进行知识抽取、组织和表达，进而实现“数据-信息-知识-智慧”转换这一问题，本文提出传统聚落景观基因本体（Geographic Ontology of Cultural Landscape Genes of Traditional Settlements, GeoOnto-CLGTS），并探索传统聚落景观基因的内在关联特征。首先，结合地理信息本体和传统聚落景观基因特征分析了GeoOnto-CLGTS的概念及表达方法，并提出GeoOnto-CLGTS模型的构建方法。其次，结合七步法的地理信息本体建模方法，梳理景观基因概念、关联关系和数据属性特征，自顶向下构建GeoOnto-CLGTS的概念层。并以123个中国传统聚落为案例，通过protégé工具进行实例补充，实现了GeoOnto-CLGTS模型的实例层构建。最后，通过Neo4j图数据库对本体数据进行存储，构建传统聚落景观基因知识图谱，实现了景观基因信息的查询。结果表明，本文构建的GeoOnto-CLGTS可以为今后开展传统聚落文化资源的知识发现及促进传统聚落的数字化保护提供有益的借鉴。
作者机构：
[Hu, Zui; Wu, Lijun] Heng Yang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.;[Hu, Zui] Natl & Local Joint Engn Labs Digital Protect & Cre, Hengyang, Peoples R China.;[Huang, Fuwei] Educ Bur Hunan Prov, Inst Educ & Examinat, Changsha, Peoples R China.
通讯机构：
[Hu, Z ] H;Heng Yang Normal Univ, Coll Geog & Tourism, Hengyang, Peoples R China.;Natl & Local Joint Engn Labs Digital Protect & Cre, Hengyang, Peoples R China.
摘要：
Urban wetlands are gaining more attention and showing more important play in the sustainability. Surge findings are attached on the assessment of Wetland Ecosystem Service Value (WESV) in urban areas. While determining WESV in urban areas, it is still difficult to capture the nature of wetlands due to neglecting the impact of related impervious surfaces. It is necessary to improve the existing evaluating methods of WESV when seeking the truth. In order to narrow this issue, based on InVEST model, this study employed Equivalent Factors (EF) to determine WESV in urban areas with a case of Hengyang City, China. The main materials of this study included high-resolution images, DEM, precipitation, evapotranspiration, soil, vegetation, and statistical yearbook of the case. By comparing the uncorrected results with precipitation corrected and water yield corrected results of WESV, this study confirmed that: (1) the corrected results can reflect more real status than uncorrected; (2) in terms of EF, the water yield factor is more conducive to finding the truth than precipitation. Through this study, the water yield factor can effectively reduce the adverse effects of climate and improve the accuracy when determining WESV in urban areas.
作者机构：
[Mao, Dehua; Wang, Ting; Deng, Meirong] Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;[Deng, Meirong; Hu, Zui] Hengyang Normal Univ, Coll Geog & Tourism, Hengyang 421002, Peoples R China.;[Mao, Dehua; Wang, Ting; Deng, Meirong] Hunan Prov Key Lab Ecoenvironm Changes & Carbon Se, Changsha 410081, Peoples R China.;[Li, Yeye] Xinjiang Univ, Coll Ecol & Environm, Urumqi 830046, Peoples R China.
通讯机构：
[Mao, DH ] H;Hunan Normal Univ, Sch Geog Sci, Changsha 410081, Peoples R China.;Hunan Prov Key Lab Ecoenvironm Changes & Carbon Se, Changsha 410081, Peoples R China.
关键词：
water-related ecosystem services;InVEST model;ecological management zoning;trade-off and synergy;Xiangjiang River Basin
摘要：
Exploring the spatiotemporal distribution and interrelationships among water-related ecosystem services (WESs) and conducting ecological management zoning are crucial for regional sustainable development. Taking the Xiangjiang River Basin (XJRB) as an example, this study first quantified three primary WESs, including water conservation, soil retention, and water purification, from 2000 to 2020. Second, the spatiotemporal variation in the interrelationships among WESs were analyzed using global and local bivariate spatial autocorrelation. Third, a water ecological zoning rule was constructed to divide the watershed into three primary and eight secondary water ecological management zones. The results indicate a strong consistency in the changes in the three WESs throughout the period from 2000 to 2020 in the XJRB. Precipitation patterns and urban expansion were the primary factors affecting alterations in the WESs. Spatial heterogeneity and dependence were evident across these ecosystem services. Both trade-offs and synergies were observed among WESs, with synergies playing a dominant role. Positive synergies occurred primarily in woodlands and grasslands, while negative synergies were observed in cultivated land, water areas, and construction land. Three water ecological management zones, including core water ecological management zones, general management zones, and restoration management zones, were delineated at the grid and country scales according to the aggregation properties of the WESs. Ecological management strategies were proposed for different zones. These findings can offer valuable insights for policy makers in land use planning and water ecological management within the XJRB, and can facilitate similar management endeavors in other regions.
