Forest structure and individual tree inventories of northeastern Siberia along climatic gradients
We compile a data set of forest surveys from expeditions to the northeast of the Russian Federation, in Krasnoyarsk Krai, the Republic of Sakha (Yakutia), and the Chukotka Autonomous Okrug (59–73∘ N, 97–169∘ E), performed between the years 2011 and 2021. The region is characterized by permafrost soi...
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Copernicus Publications
2022
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Online Access: | https://doi.org/10.5194/essd-14-5695-2022 https://essd.copernicus.org/articles/14/5695/2022/essd-14-5695-2022.pdf https://doaj.org/article/e75232bbf2c443b5979f41919713d36a |
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fttriple:oai:gotriple.eu:oai:doaj.org/article:e75232bbf2c443b5979f41919713d36a 2023-05-15T15:54:54+02:00 Forest structure and individual tree inventories of northeastern Siberia along climatic gradients T. Miesner U. Herzschuh L. A. Pestryakova M. Wieczorek E. S. Zakharov A. I. Kolmogorov P. V. Davydova S. Kruse 2022-12-01 https://doi.org/10.5194/essd-14-5695-2022 https://essd.copernicus.org/articles/14/5695/2022/essd-14-5695-2022.pdf https://doaj.org/article/e75232bbf2c443b5979f41919713d36a en eng Copernicus Publications doi:10.5194/essd-14-5695-2022 1866-3508 1866-3516 https://essd.copernicus.org/articles/14/5695/2022/essd-14-5695-2022.pdf https://doaj.org/article/e75232bbf2c443b5979f41919713d36a undefined Earth System Science Data, Vol 14, Pp 5695-5716 (2022) envir geo Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2022 fttriple https://doi.org/10.5194/essd-14-5695-2022 2023-01-22T19:05:57Z We compile a data set of forest surveys from expeditions to the northeast of the Russian Federation, in Krasnoyarsk Krai, the Republic of Sakha (Yakutia), and the Chukotka Autonomous Okrug (59–73∘ N, 97–169∘ E), performed between the years 2011 and 2021. The region is characterized by permafrost soils and forests dominated by larch (Larix gmelinii Rupr. and Larix cajanderi Mayr). Our data set consists of a plot database describing 226 georeferenced vegetation survey plots and a tree database with information about all the trees on these plots. The tree database, consisting of two tables with the same column names, contains information on the height, species, and vitality of 40 289 trees. A subset of the trees was subject to a more detailed inventory, which recorded the stem diameter at base and at breast height, crown diameter, and height of the beginning of the crown. We recorded heights up to 28.5 m (median 2.5 m) and stand densities up to 120 000 trees per hectare (median 1197 ha−1), with both values tending to be higher in the more southerly areas. Observed taxa include Larix Mill., Pinus L., Picea A. Dietr., Abies Mill., Salix L., Betula L., Populus L., Alnus Mill., and Ulmus L. In this study, we present the forest inventory data aggregated per plot. Additionally, we connect the data with different remote sensing data products to find out how accurately forest structure can be predicted from such products. Allometries were calculated to obtain the diameter from height measurements for every species group. For Larix, the most frequent of 10 species groups, allometries depended also on the stand density, as denser stands are characterized by thinner trees, relative to height. The remote sensing products used to compare against the inventory data include climate, forest biomass, canopy height, and forest loss or disturbance. We find that the forest metrics measured in the field can only be reconstructed from the remote sensing data to a limited extent, as they depend on local properties. This illustrates the ... Article in Journal/Newspaper Chukotka Chukotka Autonomous Okrug Krasnoyarsk Krai permafrost Republic of Sakha Sakha Yakutia Siberia Unknown Sakha Earth System Science Data 14 12 5695 5716 |
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English |
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envir geo |
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envir geo T. Miesner U. Herzschuh L. A. Pestryakova M. Wieczorek E. S. Zakharov A. I. Kolmogorov P. V. Davydova S. Kruse Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
topic_facet |
envir geo |
description |
We compile a data set of forest surveys from expeditions to the northeast of the Russian Federation, in Krasnoyarsk Krai, the Republic of Sakha (Yakutia), and the Chukotka Autonomous Okrug (59–73∘ N, 97–169∘ E), performed between the years 2011 and 2021. The region is characterized by permafrost soils and forests dominated by larch (Larix gmelinii Rupr. and Larix cajanderi Mayr). Our data set consists of a plot database describing 226 georeferenced vegetation survey plots and a tree database with information about all the trees on these plots. The tree database, consisting of two tables with the same column names, contains information on the height, species, and vitality of 40 289 trees. A subset of the trees was subject to a more detailed inventory, which recorded the stem diameter at base and at breast height, crown diameter, and height of the beginning of the crown. We recorded heights up to 28.5 m (median 2.5 m) and stand densities up to 120 000 trees per hectare (median 1197 ha−1), with both values tending to be higher in the more southerly areas. Observed taxa include Larix Mill., Pinus L., Picea A. Dietr., Abies Mill., Salix L., Betula L., Populus L., Alnus Mill., and Ulmus L. In this study, we present the forest inventory data aggregated per plot. Additionally, we connect the data with different remote sensing data products to find out how accurately forest structure can be predicted from such products. Allometries were calculated to obtain the diameter from height measurements for every species group. For Larix, the most frequent of 10 species groups, allometries depended also on the stand density, as denser stands are characterized by thinner trees, relative to height. The remote sensing products used to compare against the inventory data include climate, forest biomass, canopy height, and forest loss or disturbance. We find that the forest metrics measured in the field can only be reconstructed from the remote sensing data to a limited extent, as they depend on local properties. This illustrates the ... |
format |
Article in Journal/Newspaper |
author |
T. Miesner U. Herzschuh L. A. Pestryakova M. Wieczorek E. S. Zakharov A. I. Kolmogorov P. V. Davydova S. Kruse |
author_facet |
T. Miesner U. Herzschuh L. A. Pestryakova M. Wieczorek E. S. Zakharov A. I. Kolmogorov P. V. Davydova S. Kruse |
author_sort |
T. Miesner |
title |
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
title_short |
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
title_full |
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
title_fullStr |
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
title_full_unstemmed |
Forest structure and individual tree inventories of northeastern Siberia along climatic gradients |
title_sort |
forest structure and individual tree inventories of northeastern siberia along climatic gradients |
publisher |
Copernicus Publications |
publishDate |
2022 |
url |
https://doi.org/10.5194/essd-14-5695-2022 https://essd.copernicus.org/articles/14/5695/2022/essd-14-5695-2022.pdf https://doaj.org/article/e75232bbf2c443b5979f41919713d36a |
geographic |
Sakha |
geographic_facet |
Sakha |
genre |
Chukotka Chukotka Autonomous Okrug Krasnoyarsk Krai permafrost Republic of Sakha Sakha Yakutia Siberia |
genre_facet |
Chukotka Chukotka Autonomous Okrug Krasnoyarsk Krai permafrost Republic of Sakha Sakha Yakutia Siberia |
op_source |
Earth System Science Data, Vol 14, Pp 5695-5716 (2022) |
op_relation |
doi:10.5194/essd-14-5695-2022 1866-3508 1866-3516 https://essd.copernicus.org/articles/14/5695/2022/essd-14-5695-2022.pdf https://doaj.org/article/e75232bbf2c443b5979f41919713d36a |
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undefined |
op_doi |
https://doi.org/10.5194/essd-14-5695-2022 |
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Earth System Science Data |
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14 |
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12 |
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5695 |
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5716 |
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