Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems
We have developed a system of plant functional groups (PFGs) for modelling dynamics and biodiversity estimation of forest ground vegetation. Species Ellenberg ecological values and phytocoenotic characteristics together with morphological traits were used to classify plant species into the functiona...
Main Authors: | , , , , |
---|---|
Other Authors: | |
Format: | Text |
Language: | English |
Published: |
2018
|
Subjects: | |
Online Access: | https://doi.org/10.22032/dbt.37980 https://www.db-thueringen.de/receive/dbt_mods_00037980 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00044101/Khanina_S3.5_ICEI2018.pdf |
id |
ftdbthueringen:oai:www.db-thueringen.de:dbt_mods_00037980 |
---|---|
record_format |
openpolar |
spelling |
ftdbthueringen:oai:www.db-thueringen.de:dbt_mods_00037980 2024-04-07T07:56:11+00:00 Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems Khanina, Larisa Bobrovsky, Maxim Smirnov, Vadim Lukina, Natalia Romanov, Michael 10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World. 24-28 September, 2018. Jena, Germany 2018 33 Seiten https://doi.org/10.22032/dbt.37980 https://www.db-thueringen.de/receive/dbt_mods_00037980 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00044101/Khanina_S3.5_ICEI2018.pdf eng eng ICEI 2018 : 10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World https://doi.org/10.22032/dbt.37980 https://www.db-thueringen.de/receive/dbt_mods_00037980 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00044101/Khanina_S3.5_ICEI2018.pdf https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess article ddc:004 ddc:570 ddc:580 ddc:590 ddc:600 ddc:630 forest-soil system ground vegetation life forms plant biomass element concentration speech Text doc-type:Other 2018 ftdbthueringen https://doi.org/10.22032/dbt.37980 2024-03-08T13:29:43Z We have developed a system of plant functional groups (PFGs) for modelling dynamics and biodiversity estimation of forest ground vegetation. Species Ellenberg ecological values and phytocoenotic characteristics together with morphological traits were used to classify plant species into the functional groups [1]. Ground vegetation patches dominated by species of different PFGs were distinguished in the forest floor. We have characterized biomass of these patches performing statistical analysis of biomass values taken from published data and results of field investigations combined into the database "Biomass" [2]. The database contains data on aboveground and belowground biomass of species and groups of species occurred in the ground layer of boreal and hemiboreal forests of European Russia. There are more than 7000 records on biomass and productivity for 196 vascular species, 32 bryophytes and 4 lichen species and for tens groups of species. Biomass of vascular plants and bryophytes quite well differed between the patches dominated by species of different PFGs. According to statistical analysis results, the patches explain much more of biomass variance than the forest types; differences in the influence of the factors are more pronounced for belowground than for aboveground biomass. The values of the belowground biomass for all groups were higher than the values of the aboveground biomass, and differed between the analyzed groups to a greater extent than the values of the aboveground biomass. Database "Elements" on element concentrations of plants was also developed on the basis of results of field investigations in the North and the Middle Taiga. The database contains data on more than 2500 samples of 80 plant species. The PFGs also differed well in the content of the chemical elements in species that comprise the group. The groups differed most in the following elements: N, Mg, Ca, P, S, Mn, Al, Zn, Fe and slightly less C. We have proposed a conceptual model of dynamics of ground forest vegetation; a model ... Text taiga Digital Library Thüringen |
institution |
Open Polar |
collection |
Digital Library Thüringen |
op_collection_id |
ftdbthueringen |
language |
English |
topic |
article ddc:004 ddc:570 ddc:580 ddc:590 ddc:600 ddc:630 forest-soil system ground vegetation life forms plant biomass element concentration |
spellingShingle |
article ddc:004 ddc:570 ddc:580 ddc:590 ddc:600 ddc:630 forest-soil system ground vegetation life forms plant biomass element concentration Khanina, Larisa Bobrovsky, Maxim Smirnov, Vadim Lukina, Natalia Romanov, Michael Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
topic_facet |
article ddc:004 ddc:570 ddc:580 ddc:590 ddc:600 ddc:630 forest-soil system ground vegetation life forms plant biomass element concentration |
description |
We have developed a system of plant functional groups (PFGs) for modelling dynamics and biodiversity estimation of forest ground vegetation. Species Ellenberg ecological values and phytocoenotic characteristics together with morphological traits were used to classify plant species into the functional groups [1]. Ground vegetation patches dominated by species of different PFGs were distinguished in the forest floor. We have characterized biomass of these patches performing statistical analysis of biomass values taken from published data and results of field investigations combined into the database "Biomass" [2]. The database contains data on aboveground and belowground biomass of species and groups of species occurred in the ground layer of boreal and hemiboreal forests of European Russia. There are more than 7000 records on biomass and productivity for 196 vascular species, 32 bryophytes and 4 lichen species and for tens groups of species. Biomass of vascular plants and bryophytes quite well differed between the patches dominated by species of different PFGs. According to statistical analysis results, the patches explain much more of biomass variance than the forest types; differences in the influence of the factors are more pronounced for belowground than for aboveground biomass. The values of the belowground biomass for all groups were higher than the values of the aboveground biomass, and differed between the analyzed groups to a greater extent than the values of the aboveground biomass. Database "Elements" on element concentrations of plants was also developed on the basis of results of field investigations in the North and the Middle Taiga. The database contains data on more than 2500 samples of 80 plant species. The PFGs also differed well in the content of the chemical elements in species that comprise the group. The groups differed most in the following elements: N, Mg, Ca, P, S, Mn, Al, Zn, Fe and slightly less C. We have proposed a conceptual model of dynamics of ground forest vegetation; a model ... |
author2 |
10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World. 24-28 September, 2018. Jena, Germany |
format |
Text |
author |
Khanina, Larisa Bobrovsky, Maxim Smirnov, Vadim Lukina, Natalia Romanov, Michael |
author_facet |
Khanina, Larisa Bobrovsky, Maxim Smirnov, Vadim Lukina, Natalia Romanov, Michael |
author_sort |
Khanina, Larisa |
title |
Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
title_short |
Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
title_full |
Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
title_fullStr |
Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
title_full_unstemmed |
Plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
title_sort |
plant functional groups for carbon and nitrogen cycle modelling and diversity estimation in boreal forest ecosystems |
publishDate |
2018 |
url |
https://doi.org/10.22032/dbt.37980 https://www.db-thueringen.de/receive/dbt_mods_00037980 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00044101/Khanina_S3.5_ICEI2018.pdf |
genre |
taiga |
genre_facet |
taiga |
op_relation |
ICEI 2018 : 10th International Conference on Ecological Informatics- Translating Ecological Data into Knowledge and Decisions in a Rapidly Changing World https://doi.org/10.22032/dbt.37980 https://www.db-thueringen.de/receive/dbt_mods_00037980 https://www.db-thueringen.de/servlets/MCRFileNodeServlet/dbt_derivate_00044101/Khanina_S3.5_ICEI2018.pdf |
op_rights |
https://creativecommons.org/licenses/by/4.0/ info:eu-repo/semantics/openAccess |
op_doi |
https://doi.org/10.22032/dbt.37980 |
_version_ |
1795673924898390016 |