PDF(2841 KB)
PDF(2841 KB)
PDF(2841 KB)
2012—2021年国内外古树研究领域态势分析——基于CiteSpace和VOSviewer
Analysis of the Research Situation of Ancient Trees at Home and Abroad from 2012 to 2021:Based on CiteSpace and VOSviewer
为对国内外古树研究现状进行全面、深入的分析，探究该领域的研究前沿和研究热点，以2012—2021年间CNKI中文期刊数据库、Web of Science核心数据集中收录的该领域相关研究文献作为数据基础，充分整合CiteSpace和VOSviewer文献计量可视化软件的优势，采用综合的文献共著网络、共被引网络以及共词网络进行科学知识图谱的可视化分析方法。研究发现，国内外研究者们对古树的关注程度总体呈逐年上升趋势。在国内，主要研究机构包括上海市绿化管理指导站、太原市园林植物研究中心等，国内主要研究内容涉及4个方面，分别是古树资源调查、古树保护措施、土壤对古树生长的影响以及古树生态特征分析。国际上，最有影响力的国家是美国，排名第2位的是中国。在国际研究机构中，影响力最大的研究机构是中国科学院。Yang Y等为该领域高影响力作者。国际古树主要研究内容涉及4个方面，分别是古树生物文化遗产价值、古树广泛的生态价值、古树在区域生物多样性保护方面的价值，以及古树独特的遗传多样性优势。
In order to conduct a comprehensive and in-depth analysis of the research status of ancient trees at home and abroad, and identify the hotspots and frontiers of ancient trees during 2012 and 2021, this paper took the relevant research literature as the data foundation, which was included in the CNKI database and the core collection of Web of Science. This paper fully integrated the advantages of CiteSpace and VOSviewer visualization software, and used comprehensive literature co-author network, co-citation network and co-word network to carry out the visualization analysis of scientific knowledge map. This paper found that the attention of researchers at home and abroad on ancient trees was on the rise year by year. In China, the main research institutions included Shanghai Green Management Guidance Station, Taiyuan Garden Plant Research Center, etc. The main domestic research contents involved four aspects, respectively: investigation of ancient tree resources, ancient tree protection measures, the soil impact on ancient tree growth and analysis of ancient tree ecological characteristics. Internationally, the most influential research country was the United States, and the second was China. Among the international research institutions, the most influential research institution was the Chinese Academy of Sciences, and Yang Y, et al. were highly influential authors in this field. The main research contents of international ancient trees involved four aspects, namely: the biological and cultural heritage value of ancient trees, the extensive ecological value of ancient trees, the value of ancient trees in the protection of regional biodiversity, and the unique advantages of ancient trees in genetic diversity.
古树 / 态势分析 / 科学知识图谱 / CiteSpace / VOSviewer {{custom_keyword}} /
ancient trees / situation analysis / scientific knowledge map / CiteSpace / VOSviewer {{custom_keyword}} /
| [1] |
In addition to providing key ecological functions, large old trees are a part of a social realm and as such provide numerous social-cultural benefits to people. However, their social and cultural values are often neglected when designing conservation policies and management guidelines. We believe that awareness of large old trees as a part of human identity and cultural heritage is essential when addressing the issue of their decline worldwide. Large old trees provide humans with aesthetic, symbolic, religious, and historic values, as well as concrete tangible benefits, such as leaves, branches, or nuts. In many cultures particularly large trees are treated with reverence. Also, contemporary popular culture utilizes the image of trees as sentient beings and builds on the ancient myths that attribute great powers to large trees. Although the social and cultural role of large old trees is usually not taken into account in conservation, accounting for human-related values of these trees is an important part of conservation policy because it may strengthen conservation by highlighting the potential synergies in protecting ecological and social values.© 2014 Society for Conservation Biology.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [2] |
石红旗, 谢兴刚, 方建忠. 太原城区古树名木现状分析与后续资源保护研究[J]. 中国园林, 2014, 30(3):111-114.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [3] |
The loss of large old trees in many ecosystems around the world poses a threat to ecosystem integrity.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [4] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [5] |
谢兴刚. 太原市建成区古树名木资源现状调查分析[J]. 太原学院学报(自然科学版), 2019, 37(2):17-20.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [6] |
蔡施泽, 乐笑玮, 谢长坤, 等. 3种上海市常见古树粗根系分布特征及保护对策[J]. 上海交通大学学报(农业科学版), 2017, 35(4):7-14.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [7] |
刘家雄, 金陈斌, 张静, 等. 古树土壤酶活性与土壤肥力的关系[J]. 安徽农业科学, 2018, 46(12):146-148.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [8] |
张艳, 黄灏峰, 杨兴康, 等. 华北地区古树主要形态特征变异分析[J]. 四川农业大学学报, 2013, 31(1):37-41.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [9] |
陈悦, 刘则渊. 悄然兴起的科学知识图谱[J]. 科学学研究, 2005(2):149-154.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [10] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [11] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [12] |
徐志平, 叶广荣, 何世庆, 等. 广州市古树群保护现状调查[J]. 广东园林, 2012, 34(1):55-57.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [13] |
叶广荣, 吴渭湛, 何世庆, 等. 广州木棉古树生长状况调查及保护对策[J]. 农业研究与应用, 2014(3):88-92.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [14] |
谢兴刚. 太原市建成区古树名木资源现状调查分析[J]. 太原学院学报(自然科学版), 2019, 37(2):17-20.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [15] |
孙明巡, 陈嫣嫣, 李胜华, 等. 建设时期古树综合保护技术初探——以0369号古银杏保护为例[J]. 中国园艺文摘, 2012, 28(5):87-89.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [16] |
谢兴刚, 石红旗. 城市生态环境中古树保护应对策略研究[J]. 中国园艺文摘, 2015, 31(10):79-82.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [17] |
石红旗, 谢兴刚. 浅析山西太原市城中村改造中的古树保护对策[J]. 中国园艺文摘, 2016, 32(7):81-82.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [18] |
陈嫣嫣, 孙明巡. 光触媒在上海古树防腐中的应用效果初探[J]. 中国园艺文摘, 2012, 28(9):24-25.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [19] |
李伟林, 文剑, 肖中亮, 等. 颐和园古树内部异常的雷达波检测[J]. 福建农林大学学报(自然科学版), 2017, 46(6):665-671.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [20] |
谢兴刚, 苗峰, 石红旗. 太原地区古树树体健康与安全评估技术研究[J]. 林业科技通讯, 2018(4):67-70.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [21] |
吴海龙, 刘晶岚, 黄灏峰, 等. 北京市不同区域3种古树木叶片营养元素特征[J]. 四川农业大学学报, 2013, 31(2):140-144.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [22] |
谢媛媛, 吴海龙, 黄灏峰, 等. 北京古树健康评价[J]. 林业资源管理, 2012(6):71-75.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [23] |
夏聪, 黄华枝, 龚志勤, 等. PICUS在华南地区古树健康状况与安全性评估中的应用研究[J]. 河北林业科技, 2015(3):24-26,30.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [24] |
郜旭芳, 张新权. 古树名木病虫害综合防控技术[J]. 绿色科技, 2018(17):36-37,39.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [25] |
杜宾. 声波在古树保护中的应用研究[J]. 山西林业, 2015(6):24-25.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [26] |
汤珧华, 潘建萍, 邹福生, 等. 上海松柏古树生长与土壤肥力因子的关系[J]. 植物营养与肥料学报, 2017, 23(5):1402-1408.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [27] |
陈志华, 潘建萍, 邹福生, 等. 上海地区松柏古树周边不同配置材料对古树生长土壤的影响研究[J]. 上海农业科技, 2017(5):100-101.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [28] |
刘家雄, 金陈斌, 张静, 等. 古树土壤酶活性与土壤肥力的关系[J]. 安徽农业科学, 2018, 46(12):146-148.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [29] |
张艳, 黄灏峰, 杨兴康, 等. 华北地区古树主要形态特征变异分析[J]. 四川农业大学学报, 2013, 31(1):37-41.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [30] |
王萱, 刘晓静, 邢世岩, 等. 中国部分古银杏资源遗传多样性的AFLP分析及核心种质的构建[J]. 园艺学报, 2016, 43(2):249-260.
利用AFLP 技术，对来源于全国20 个省（区）的180 份银杏古树种质进行遗传多样性分析，在此基础上，利用逐步聚类的方法构建核心种质。结果表明，8 对AFLP 引物组合共扩增出1 646 条谱带，多态条带百分率（PPB）为100%；平均观测等位基因数（Na）、平均有效等位基因数（Ne）、平均Nei’s基因多样度（H）和平均Shannon’s 信息指数（I）分别为2.0000、1.2575、0.1662 和0.2746；各种质间的遗传相似系数在0.6904 ~ 0.9115 之间，平均值为0.7919。建立的银杏古树核心种质保留了原始种质的35%的样品。t 检验结果表明，所构建的核心种质遗传多样性指数与原始种质差异不显著，能够最大程度的代表原始种质资源。
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [31] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [32] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [33] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [34] |
Large old trees are keystone ecological structures that provide vital ecosystem services to humans. However, there are few large-scale empirical studies on patterns of diversity and density of large old trees in human-dominated landscapes. We present the results of the first nationwide study in China to investigate the patterns of diversity and density of large old trees in human-dominated landscapes. We collated data on 682,730 large trees >= 100 years old from 198 Chinese regions to quantify tree species diversity, tree density and maximum tree age patterns. We modelled the effects of natural environmental variables (e.g. climate and topography) and anthropogenic variables (e.g. human population density and city age) on these measures. We found a low density of large old trees across study regions (0.36 trees/km(2)), and large variation in species richness among regions (ranging from 1 to 232 species). More than 95% of trees were <500 years old. The best fit models showed that: (1) Species diversity (species richness adjusted by region size) was positively associated with mean annual rainfall and city age; (2) Density of clustered trees, which are mostly remnants of ancient woods, was negatively influenced by human population density and rural population (% of total population). In contrast, the density of scattered trees, which are mostly managed by local people, was positively correlated with mean annual rainfall and human population density. To better protect large old trees in cities and other highly-populated areas, conservation policy should protect ancient wood remnants, mitigate the effects environmental change (e.g. habitat fragmentation), minimize the negative effects of human activities (e.g. logging), and mobilize citizens to participate in conservation activities (e.g. watering trees during droughts). (C) 2018 Elsevier B.V.
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [35] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [36] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [37] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [38] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| [39] |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
| {{custom_ref.label}} |
{{custom_citation.content}}
{{custom_citation.annotation}}
|
/
| 〈 |
|
〉 |
