A large vegetation-plot database for research and conservation of boreal forest diversity in Europeтезисы доклада

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1. стендовый доклад boreal_poster_IBFRA3.jpg 2,6 МБ 12 октября 2018 [VladimirKorotkov]
2. Полный текст IBFRA18_Cool_forests_at_risk_-_Book_of_abstracts_092018po... 500,0 КБ 23 сентября 2018 [VladimirKorotkov]

[1] A large vegetation-plot database for research and conservation of boreal forest diversity in europe / A. K. Pyykönen, T. Y. Braslavskaya, E. Y. Churakova et al. // Book of abstracts. Cool forests at risk? The Critical Role of Boreal and Mountain Ecosystems for People, Bioeconomy, and Climate. 17–20 September 2018, IIASA, Laxenburg, Austria. — IIASA Laxenburg, Austria, 2018. — P. 110–111. Detailed knowledge of habitats, particularly of their species composition, is a precondition for effective nature conservation. However, very little vegetation-plot data from zonal boreal forests of Europe are currently available for assessing e.g. species distribution and diversity, or habitat mapping. We have established a vegetation-plot database of boreal and hemiboreal forests of Europe, aiming to cover the following countries and regions: Iceland, Norway, Sweden, Finland, Estonia, Latvia, Lithuania, Belarus, Scotland and north of the 52nd parallel in Poland and in European Russia, west from the Ural Mountains. Vegetation-plot records of all types of forest communities occurring within these zones are collected. For the first time, this database will enable detailed investigation of vegetation patterns of boreal and hemiboreal forests on the European scale. To assess the data availability, we requested data from the European Vegetation Archive (EVA), which is the largest vegetation-plot data repository in Europe. Only Lithuania, Poland and Scotland were sufficiently covered there. To fill in the gaps, we started a cooperation within an international team of vegetation scientists (now 24 members) to compile the European Boreal Forest Vegetation Database. Currently, we have managed to obtain over 11 000 plots from Belarus, Estonia, Finland, Latvia, Norway and large areas in Russia. We are still looking for potential collaborators, from all of the countries within the study area, to contribute with vegetation plot data and local expertise. Our ambition is to digitize already published vegetation-plot records from literature, and to encourage complementary field surveys to cover the most apparent gaps. The European Boreal Forest Vegetation Database can serve a wide range of purposes in vegetation science. One of the intended aims is to create a unified classification system of boreal forest types in accordance with both the EuroVegChecklist (hierarchical floristic classification system of the European Vegetation Survey) and the European Nature Information System (EUNIS) habitat classification. These typologies serve as the basis for the conservation actions of the European Environmental Agency (EEA). Moreover, the database can be used for gradient analyses of species-environment relationships and for studies of species-richness patterns. The database can potentially be useful in addressing biogeographical questions such as sharpening the definition of the border between the hemiboreal and boreal vegetation zones. Once established, the database will enhance the use of these data by a wide range of researchers. In the near future, the whole database, or a subset of it, can be requested via the EVA. Focus of Research The focus of the research is in compiling and bringing high-quality data accessible for wide range of researches and projects, and to use this database to investigate the species diversity patterns and enhance the conservation of boreal and hemiboreal forest diversity. Key Challenges Not yet, it describes a database, which will, in the near future, be used to assess the distribution and conservation status of boreal and hemiboreal forest communities. First, we need to unify the classification system across the study are to identify the conservation needs. Suggestion to Address these Challenges The project is in an early stage, and we have yet no suggestions to address the challenges, which we did not yet investigate.

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