Cartographic estimation of tree parameter dynamics in Russian northwest
The article presents an analysis of spatial variability and temporal dynamics of tree plant condition indicators in the regions of the Russian Northwest over 2008 – 2010 based on the regular network of ground monitoring organised under the ICP Forests international programme. Indicators for trees of...
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Russian Academy of Sciences, Center for Forest Ecology and Productivity
2019
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ftdoajarticles:oai:doaj.org/article:12ba70c89f724d96af685af78571c71b 2023-05-15T16:22:04+02:00 Cartographic estimation of tree parameter dynamics in Russian northwest S.V. Knyazeva S.P. Eydlina 2019-06-01T00:00:00Z https://doi.org/10.31509/2658-607x-2019-2-2-1-27 https://doaj.org/article/12ba70c89f724d96af685af78571c71b EN RU eng rus Russian Academy of Sciences, Center for Forest Ecology and Productivity http://jfsi.ru/wp-content/uploads/2019/06/2-2-2019-Knyazeva_Eydlina.pdf https://doaj.org/toc/2658-607X doi:10.31509/2658-607x-2019-2-2-1-27 2658-607X https://doaj.org/article/12ba70c89f724d96af685af78571c71b Вопросы лесной науки, Vol 2, Iss 2, Pp 1-27 (2019) condition of tree plants regular network permanent observation plot assessment of crown condition dominant species damage and diseases of trees maps of parameters Forestry SD1-669.5 article 2019 ftdoajarticles https://doi.org/10.31509/2658-607x-2019-2-2-1-27 2022-12-31T11:42:45Z The article presents an analysis of spatial variability and temporal dynamics of tree plant condition indicators in the regions of the Russian Northwest over 2008 – 2010 based on the regular network of ground monitoring organised under the ICP Forests international programme. Indicators for trees of dominant species in permanent observation plot (POP) included defoliation, discoloration, condition category, and damage extent. The indicator dynamics was assessed based on procedures of geo-informational mapping and spatial analysis taking into account landscape-focused POP and human-induced impact. The total of 710 POP were analysed in six regions of Russia: Leningrad Region, Pskov Region, Novgorod Region, Kaliningrad Region, Murmansk Region, and the Republic of Karelia. As the research showed, indicators like defoliation degree and share of damaged trees were the most informative (sensitive to primary types of impact). Tree plants with a high level of defoliation were found in softwood forests formed in glaciolacustrine landscapes of low platform plains and in landscapes of high platform plains (Precambrian shields and ridges with glacier expressions) in the Republic of Karelia and Leningrad Region (Karelian Isthmus). The share of damaged trees increased from 23% in 2008 to 39% in 2010. Maximum values of the indicator (above 80%) over the entire observation period were found in four regions: the Republic of Karelia (predominantly on the Karelian Isthmus), Leningrad Region, Murmansk Region, and Kaliningrad Region. Occurrence of the most dangerous biotic causes of tree damages was high in Leningrad Region and the Republic of Karelia. The share of trees with diseases was higher in north taiga forests (30%) as compared to middle taiga forests (24%) and south taiga forests (19%). To the highest extent, the damage was manifested in POP focused on sand landscapes and in Precambrian shields and ridges of high platform plains. In general, the cartographic analysis of monitoring data collected over 2008-2010 showed the ... Article in Journal/Newspaper glacier karelia* karelian Republic of Karelia taiga Directory of Open Access Journals: DOAJ Articles Murmansk Forest science issues 2 2 1 27 |
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Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English Russian |
topic |
condition of tree plants regular network permanent observation plot assessment of crown condition dominant species damage and diseases of trees maps of parameters Forestry SD1-669.5 |
spellingShingle |
condition of tree plants regular network permanent observation plot assessment of crown condition dominant species damage and diseases of trees maps of parameters Forestry SD1-669.5 S.V. Knyazeva S.P. Eydlina Cartographic estimation of tree parameter dynamics in Russian northwest |
topic_facet |
condition of tree plants regular network permanent observation plot assessment of crown condition dominant species damage and diseases of trees maps of parameters Forestry SD1-669.5 |
description |
The article presents an analysis of spatial variability and temporal dynamics of tree plant condition indicators in the regions of the Russian Northwest over 2008 – 2010 based on the regular network of ground monitoring organised under the ICP Forests international programme. Indicators for trees of dominant species in permanent observation plot (POP) included defoliation, discoloration, condition category, and damage extent. The indicator dynamics was assessed based on procedures of geo-informational mapping and spatial analysis taking into account landscape-focused POP and human-induced impact. The total of 710 POP were analysed in six regions of Russia: Leningrad Region, Pskov Region, Novgorod Region, Kaliningrad Region, Murmansk Region, and the Republic of Karelia. As the research showed, indicators like defoliation degree and share of damaged trees were the most informative (sensitive to primary types of impact). Tree plants with a high level of defoliation were found in softwood forests formed in glaciolacustrine landscapes of low platform plains and in landscapes of high platform plains (Precambrian shields and ridges with glacier expressions) in the Republic of Karelia and Leningrad Region (Karelian Isthmus). The share of damaged trees increased from 23% in 2008 to 39% in 2010. Maximum values of the indicator (above 80%) over the entire observation period were found in four regions: the Republic of Karelia (predominantly on the Karelian Isthmus), Leningrad Region, Murmansk Region, and Kaliningrad Region. Occurrence of the most dangerous biotic causes of tree damages was high in Leningrad Region and the Republic of Karelia. The share of trees with diseases was higher in north taiga forests (30%) as compared to middle taiga forests (24%) and south taiga forests (19%). To the highest extent, the damage was manifested in POP focused on sand landscapes and in Precambrian shields and ridges of high platform plains. In general, the cartographic analysis of monitoring data collected over 2008-2010 showed the ... |
format |
Article in Journal/Newspaper |
author |
S.V. Knyazeva S.P. Eydlina |
author_facet |
S.V. Knyazeva S.P. Eydlina |
author_sort |
S.V. Knyazeva |
title |
Cartographic estimation of tree parameter dynamics in Russian northwest |
title_short |
Cartographic estimation of tree parameter dynamics in Russian northwest |
title_full |
Cartographic estimation of tree parameter dynamics in Russian northwest |
title_fullStr |
Cartographic estimation of tree parameter dynamics in Russian northwest |
title_full_unstemmed |
Cartographic estimation of tree parameter dynamics in Russian northwest |
title_sort |
cartographic estimation of tree parameter dynamics in russian northwest |
publisher |
Russian Academy of Sciences, Center for Forest Ecology and Productivity |
publishDate |
2019 |
url |
https://doi.org/10.31509/2658-607x-2019-2-2-1-27 https://doaj.org/article/12ba70c89f724d96af685af78571c71b |
geographic |
Murmansk |
geographic_facet |
Murmansk |
genre |
glacier karelia* karelian Republic of Karelia taiga |
genre_facet |
glacier karelia* karelian Republic of Karelia taiga |
op_source |
Вопросы лесной науки, Vol 2, Iss 2, Pp 1-27 (2019) |
op_relation |
http://jfsi.ru/wp-content/uploads/2019/06/2-2-2019-Knyazeva_Eydlina.pdf https://doaj.org/toc/2658-607X doi:10.31509/2658-607x-2019-2-2-1-27 2658-607X https://doaj.org/article/12ba70c89f724d96af685af78571c71b |
op_doi |
https://doi.org/10.31509/2658-607x-2019-2-2-1-27 |
container_title |
Forest science issues |
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2 |
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27 |
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1766010027399708672 |