俄罗斯地球植物学:成果和前景。关于纪念科马罗夫植物研究所地球植物系成立100周年的全俄国际科学会议的工作(圣彼得堡,2022年9月26日至30日)

Q4 Agricultural and Biological Sciences
I. Y. Bakkal, E. Volkova, A. P. Korablev, V. Neshataeva, V. Khramtsov
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引用次数: 0

摘要

“俄罗斯地球植物学:成果与发展前景”全俄科学会议是为纪念科马罗夫植物学研究所地球植物学系成立100周年而举行的。会议于2022年9月26日至30日在圣彼得堡举行(Proceedings…,2022)。来自俄罗斯25个城市的123名地球植物学家以及来自白俄罗斯、哈萨克斯坦和越南的同事参加了会议。会议活动分为三个主题:“植被多样性与保护”、“植物群落结构与动态”、“植被地理与制图”。全体会议和分组会议共作了62次口头报告和56次海报报告。举行了三次“圆桌”会议:其中两次专门讨论植被分类问题,最后一次讨论地植物学术语问题。在“植物群落的多样性和保护”一节中,报告的很大一部分专门讨论了植被的分类。大部分作者采用了植物区系分类的方法(Brown-Blanquet方法),但一般的分析调查只在一些著作中有介绍,其余的都是对个别联合的区域和局部前体或低级句法的描述。相当一部分地植物学家遵循俄罗斯和苏联学派的传统原则,即支配-决定分类;另外两种植被分类方法在单一报告中得到应用:拓扑生态学和地理遗传学。有几篇论文专门讨论了生境类型的分类。植被研究的很大一部分是在保护区的领土上进行的:自然保护区、保护区、国家公园和自然地标:从最西端的Belovezhskaya Pushcha(白俄罗斯)到最东端的Bastak保护区(犹太自治区)和Koryak保护区(堪察加地区)。“植物群落结构与动态”一节的许多报告都涉及人为影响后植被动态的研究,这是植被覆盖的主要不稳定因素。与气候变化有关的研究很少。有几份报告分析了人口结构。也很少有报告专门讨论植被动态的统计模拟。基于植物功能特征的现代研究方法在俄罗斯地植物学中刚刚起步。快速发展的机器学习方法正逐渐被引入到地球植物学方法库中,用于植被分类和植被制图。在我国的各个地区,在白俄罗斯和哈萨克斯坦,继续进行植物地理学和制图学的研究。地图学工作的积极方面是越来越多地使用遥感数据及其处理工具,以及在植被图的基础上编制应用地图,以解决各种实际问题。但是,在“植被地理学和制图学”一节中提出了少数报告,这可能反映出对这一领域的兴趣减少和缺乏专家。此外,应该指出的是,近几十年来,很少有专门从事主要植物地理学概括的工作。从事中小尺度植被制图的地植物学家越来越少,这将继续和发展国家地植物制图和区划的传统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Russian geobotany: results and prospects. On the work of the All-Russian scientific conference with international participation dedicated to the 100th anniversary of the Department of Geobotany of the Komarov Botanical Institute (St. Petersburg, September 26–30, 2022)
The All-Russian Scientific Conference “Russian geobotany: results and development prospects” was dedicated to the 100th anniversary of the Department of Geobotany of the Komarov Botanical Institute. The Conference was held September 26–30, 2022 in St. Petersburg (Proceedings…, 2022). 123 geobotanists from 25 cities of Russia participated in the Conference as well as our colleagues from Belarus, Kazakhstan, and Vietnam. The conference activity was held in three main topics: “Vegetation diversity and conservation”, “Structure and dynamics of plant communities”, “Vegetation geography and cartography”. At the plenary session and section meetings 62 oral and 56 poster presentations were presented. Three “round-table” talk sessions were held: two of them were dedicated to the problems of vegetation classification and the last — to the issues of geobotanical terminology. A significant part of the reports at the section “Diversity and protection of plant communities” was devoted to the classification of vegetation. The most part of authors used methods of floristic classification (Brown-Blanquet approach), but general analytic surveys were presented only in some works, and the rest were devoted to regional and local prodromuses of individual unions or to descriptions of lower syntaxa. A significant part of geobotanists follows the traditional principles of the Russian and Soviet school of dominant-determinant classification; the two other approaches to vegetation classification were applied in single reports: topological-ecological and geographical-genetic. Several papers have been devoted to the classification of habitat types. A significant part of vegetation studies have been carried out on the territory of protected areas: nature reserves, sanctuaries, national parks and natural landmarks: from the westernmost — Belovezhskaya Pushcha (Belarus) to the easternmost — the Bastak Reserve (Jewish Autonomous Region) and the Koryak Reserve (Kamchatka Region). Many of the reports at the section “Structure and dynamics of plant communities” concerned the study of vegetation dynamics after anthropogenic impacts, which are the main destabilizing factors of vegetation cover. Very few studies related to climate change have been presented. Several reports analyzed the demographic structure of populations. Few reports were also devoted to the statistical modelling of vegetation dynamics. The modern approach based on the functional characteristics of plants is just beginning to develop in Russian geobotany. Rapidly developing machine learning methods are gradually being introduced into the arsenal of geobotanical science methods — for the purposes of vegetation classification and vegetation mapping. Research in the botanical geography and cartography continues in various regions of our country, in Belarus and Kazakhstan. The positive aspects in cartographic work are the increasing use of remote sensing data and tools for their processing, as well as the compilation of applied maps based on vegetation maps to solve various practical problems. However, a small number of reports were presented in the section “Vegetation geography and cartography”, which may reflect a decrease in interest in this area and a lack of specialists. In addition, it should be noted that very few works devoted to major botanical-geographic generalizations have been carried out in recent decades. Less and less geobotanists are engaged in middle- and small-scale vegetation mapping, which would continue and develop the traditions of the national school of geobotanical mapping and zoning.
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来源期刊
Rastitel''nost'' Rossii
Rastitel''nost'' Rossii Agricultural and Biological Sciences-Plant Science
CiteScore
1.20
自引率
0.00%
发文量
5
期刊介绍: The scientific journal Rastitel''nost'' Rossii is included in the Scopus database. Publisher country is Russia. The main subject areas of published articles are Ecology, Evolution, Behavior and Systematics, Plant Science, Общая биология.
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