Stem growth and stem sap flow measurements of three conifer tree species in Siberia
Abstract This work is targeted to evaluate the reaction of individual trees against periodic and punctual environmental stressing events with a network of long-term monitoring of tree water/growth-related processes in various geographic and climatic areas. Instrumental measurements of stem circumfer...
Published in: | IOP Conference Series: Earth and Environmental Science |
---|---|
Main Authors: | , , , , , |
Format: | Article in Journal/Newspaper |
Language: | unknown |
Published: |
IOP Publishing
2020
|
Subjects: | |
Online Access: | http://dx.doi.org/10.1088/1755-1315/611/1/012028 https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028/pdf https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028 |
id |
crioppubl:10.1088/1755-1315/611/1/012028 |
---|---|
record_format |
openpolar |
spelling |
crioppubl:10.1088/1755-1315/611/1/012028 2024-10-13T14:08:48+00:00 Stem growth and stem sap flow measurements of three conifer tree species in Siberia Rubtsov, Alexey Arzac, Alberto Knorre, Anastasia Shashkin, Alexander Benkova, Vera Vaganov, Eugene 2020 http://dx.doi.org/10.1088/1755-1315/611/1/012028 https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028/pdf https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028 unknown IOP Publishing http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining IOP Conference Series: Earth and Environmental Science volume 611, issue 1, page 012028 ISSN 1755-1307 1755-1315 journal-article 2020 crioppubl https://doi.org/10.1088/1755-1315/611/1/012028 2024-09-17T04:18:19Z Abstract This work is targeted to evaluate the reaction of individual trees against periodic and punctual environmental stressing events with a network of long-term monitoring of tree water/growth-related processes in various geographic and climatic areas. Instrumental measurements of stem circumferential/radial size changes (dRc/dR) using band/point dendrometers and stem sap flow rates ( Q ) using a trunk segment heat balance method in Scots pine, Siberian larch, and Dahurian larch trees have been carried out at three research sites in Krasnoyarsk Krai, Russia. Analysis of perennial dRc/dR and seasonal Q data obtained in 2015-2019 allows us to characterize the seasonality and features of the tree stem growth and stem water transport rates specific for each of the studied conifer species and on different temporal scales (diurnal, inter/intra-seasonal, and annual). The archived in-situ data are used to verify the efficiency of some process-based BS-and stochastic VS-tree growth and phenology models for Siberian larch and Scots pine trees. The results have confirmed the realistic nature of the simulation and have shown certain drawbacks of these models. Article in Journal/Newspaper Krasnoyarsk Krai Siberia IOP Publishing IOP Conference Series: Earth and Environmental Science 611 1 012028 |
institution |
Open Polar |
collection |
IOP Publishing |
op_collection_id |
crioppubl |
language |
unknown |
description |
Abstract This work is targeted to evaluate the reaction of individual trees against periodic and punctual environmental stressing events with a network of long-term monitoring of tree water/growth-related processes in various geographic and climatic areas. Instrumental measurements of stem circumferential/radial size changes (dRc/dR) using band/point dendrometers and stem sap flow rates ( Q ) using a trunk segment heat balance method in Scots pine, Siberian larch, and Dahurian larch trees have been carried out at three research sites in Krasnoyarsk Krai, Russia. Analysis of perennial dRc/dR and seasonal Q data obtained in 2015-2019 allows us to characterize the seasonality and features of the tree stem growth and stem water transport rates specific for each of the studied conifer species and on different temporal scales (diurnal, inter/intra-seasonal, and annual). The archived in-situ data are used to verify the efficiency of some process-based BS-and stochastic VS-tree growth and phenology models for Siberian larch and Scots pine trees. The results have confirmed the realistic nature of the simulation and have shown certain drawbacks of these models. |
format |
Article in Journal/Newspaper |
author |
Rubtsov, Alexey Arzac, Alberto Knorre, Anastasia Shashkin, Alexander Benkova, Vera Vaganov, Eugene |
spellingShingle |
Rubtsov, Alexey Arzac, Alberto Knorre, Anastasia Shashkin, Alexander Benkova, Vera Vaganov, Eugene Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
author_facet |
Rubtsov, Alexey Arzac, Alberto Knorre, Anastasia Shashkin, Alexander Benkova, Vera Vaganov, Eugene |
author_sort |
Rubtsov, Alexey |
title |
Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
title_short |
Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
title_full |
Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
title_fullStr |
Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
title_full_unstemmed |
Stem growth and stem sap flow measurements of three conifer tree species in Siberia |
title_sort |
stem growth and stem sap flow measurements of three conifer tree species in siberia |
publisher |
IOP Publishing |
publishDate |
2020 |
url |
http://dx.doi.org/10.1088/1755-1315/611/1/012028 https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028/pdf https://iopscience.iop.org/article/10.1088/1755-1315/611/1/012028 |
genre |
Krasnoyarsk Krai Siberia |
genre_facet |
Krasnoyarsk Krai Siberia |
op_source |
IOP Conference Series: Earth and Environmental Science volume 611, issue 1, page 012028 ISSN 1755-1307 1755-1315 |
op_rights |
http://creativecommons.org/licenses/by/3.0/ https://iopscience.iop.org/info/page/text-and-data-mining |
op_doi |
https://doi.org/10.1088/1755-1315/611/1/012028 |
container_title |
IOP Conference Series: Earth and Environmental Science |
container_volume |
611 |
container_issue |
1 |
container_start_page |
012028 |
_version_ |
1812815566727020544 |