Increasing stem dimensions of European temperate tree species between 1990 and 2015 Article Swipe
Václav Treml
,
Jan Tumajer
,
Jan Altman
,
Vojtěch Čada
,
Jiří Doležal
,
Pavel Janda
,
Ryszard J. Kaczka
,
Jakub Kašpar
,
Tomáš Kolář
,
Jiří Mašek
,
Filip Oulehle
,
Michal Rybníček
,
Miloš Rydval
,
Miroslav Svoboda
,
Martin Šenfeldr
,
Pavel Šamonil
,
Ivana Vašíčková
,
Monika Vejpustková
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu24-17582
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.5194/egusphere-egu24-17582
Increasing forest CO2 absorption is ensured by enhanced gross primary production (GPP) which exhibited increasing trends as documented by CO2 flux measurements or by global vegetation models. Considering the simultaneous increase in ecosystem respiration, it is, however, uncertain how the growing GPP imprints in tree stem biomass increase. There is still a certain discrepancy between estimates of forest biomass trends derived from standardized tree-ring series, information acquired from repeated re-measurements of stem biomass at permanent plots, and information derived from vegetation models or flux-tower measurements. Standardization procedures of tree-ring series related to age/size trend removal make this data source unique for the assessment of climate-growth relationships and for climatic reconstruction, however it also increases uncertainty of this data source for biomass trends assessment. Here, we present an approach mimicking repeated data collection at permanent plots based on an extensive data set of tree-ring sites. In this way, we connected two strong benefits of above-mentioned data – reliable age-independent estimates of stem biomass by repeated measurements at permanent plots and a dense network of highly replicated data covering wide environmental gradients provided by tree-ring time series. Our tree-ring network captures core parts of distribution ranges of five main European temperate tree species. Density of tree-ring network is roughly 1 site per 25 km2 of forested area in Central Europe namely Czech Republic (area of 78 000 km2) making this tree-ring network probably densest in the world. We first manipulated original tree-ring data sets by their truncation in 1990 (data set mimicking sample collection in 1990) and then adapt the original data set so that it has similar age structure as the 1990 data set mainly by excluding old age classes (data set 2015) assuring age independency of our data. For both data sets and all sites included, we calculated mean stem diameter at breast height (DBH) of average 100-year old tree based on basal area increments. We then tested for differences in DBH between 1990 and 2015. We found that all species except Pinus sylvestris showed a significant increase in stem dimension as indicated by DBH between 1990 and 2015. The highest DBH increase exhibited Abies alba (+13.5%), followed by Fagus sylvatica (+5.5%), Quercus sp.(+5.2%) and Picea abies (+4.7%). Differences in DBH between 2015 and 1990 were relatively homogenous across environmental gradients suggesting prevailing influence of large-scale factors independent on local conditions. Picea abies and Fagus sylvatica exhibited lesser increase in stem dimensions in colder areas. Furthermore, Picea abies and Quercus sp. showed a significant enhancement of growth at productive sites with fast growing individuals. Quercus also significantly enlarged DBH at locations with more positive trends in SPEI, i.e. those experiencing a trend towards wetter climate. Our results corroborate the pervasive growth acceleration in core region of European temperate forests leading to presence of larger canopy-level trees in current forests than in the past. Increasing stem size makes trees more sensitive to disturbances and potentially leads to their shorter life spans as reported in other studies.
Related Topics
Concepts
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.5194/egusphere-egu24-17582
- OA Status
- gold
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4392648764
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W4392648764Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5194/egusphere-egu24-17582Digital Object Identifier
- Title
-
Increasing stem dimensions of European temperate tree species between 1990 and 2015Work title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-11Full publication date if available
- Authors
-
Václav Treml, Jan Tumajer, Jan Altman, Vojtěch Čada, Jiří Doležal, Pavel Janda, Ryszard J. Kaczka, Jakub Kašpar, Tomáš Kolář, Jiří Mašek, Filip Oulehle, Michal Rybníček, Miloš Rydval, Miroslav Svoboda, Martin Šenfeldr, Pavel Šamonil, Ivana Vašíčková, Monika VejpustkováList of authors in order
- Landing page
-
https://doi.org/10.5194/egusphere-egu24-17582Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5194/egusphere-egu24-17582Direct OA link when available
- Concepts
-
Temperate climate, Tree (set theory), Geography, Temperate rainforest, Forestry, Biology, Agroforestry, Ecology, Mathematics, Ecosystem, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- Related works (count)
-
10Other works algorithmically related by OpenAlex
Full payload
| id | https://openalex.org/W4392648764 |
|---|---|
| doi | https://doi.org/10.5194/egusphere-egu24-17582 |
| ids.doi | https://doi.org/10.5194/egusphere-egu24-17582 |
| ids.openalex | https://openalex.org/W4392648764 |
| fwci | |
| type | preprint |
| title | Increasing stem dimensions of European temperate tree species between 1990 and 2015 |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11880 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.9957000017166138 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2309 |
| topics[0].subfield.display_name | Nature and Landscape Conservation |
| topics[0].display_name | Forest ecology and management |
| topics[1].id | https://openalex.org/T12618 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.984000027179718 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1110 |
| topics[1].subfield.display_name | Plant Science |
| topics[1].display_name | Botany and Plant Ecology Studies |
| topics[2].id | https://openalex.org/T12713 |
| topics[2].field.id | https://openalex.org/fields/11 |
| topics[2].field.display_name | Agricultural and Biological Sciences |
| topics[2].score | 0.951200008392334 |
| topics[2].domain.id | https://openalex.org/domains/1 |
| topics[2].domain.display_name | Life Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/1109 |
| topics[2].subfield.display_name | Insect Science |
| topics[2].display_name | Forest Ecology and Biodiversity Studies |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C81461190 |
| concepts[0].level | 2 |
| concepts[0].score | 0.7512347102165222 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q167466 |
| concepts[0].display_name | Temperate climate |
| concepts[1].id | https://openalex.org/C113174947 |
| concepts[1].level | 2 |
| concepts[1].score | 0.5297703742980957 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q2859736 |
| concepts[1].display_name | Tree (set theory) |
| concepts[2].id | https://openalex.org/C205649164 |
| concepts[2].level | 0 |
| concepts[2].score | 0.5006046295166016 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[2].display_name | Geography |
| concepts[3].id | https://openalex.org/C92494378 |
| concepts[3].level | 3 |
| concepts[3].score | 0.4891250729560852 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q845725 |
| concepts[3].display_name | Temperate rainforest |
| concepts[4].id | https://openalex.org/C97137747 |
| concepts[4].level | 1 |
| concepts[4].score | 0.38241666555404663 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q38112 |
| concepts[4].display_name | Forestry |
| concepts[5].id | https://openalex.org/C86803240 |
| concepts[5].level | 0 |
| concepts[5].score | 0.3232015371322632 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q420 |
| concepts[5].display_name | Biology |
| concepts[6].id | https://openalex.org/C54286561 |
| concepts[6].level | 1 |
| concepts[6].score | 0.32203149795532227 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q397350 |
| concepts[6].display_name | Agroforestry |
| concepts[7].id | https://openalex.org/C18903297 |
| concepts[7].level | 1 |
| concepts[7].score | 0.3212801218032837 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q7150 |
| concepts[7].display_name | Ecology |
| concepts[8].id | https://openalex.org/C33923547 |
| concepts[8].level | 0 |
| concepts[8].score | 0.13410475850105286 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q395 |
| concepts[8].display_name | Mathematics |
| concepts[9].id | https://openalex.org/C110872660 |
| concepts[9].level | 2 |
| concepts[9].score | 0.06711483001708984 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q37813 |
| concepts[9].display_name | Ecosystem |
| concepts[10].id | https://openalex.org/C134306372 |
| concepts[10].level | 1 |
| concepts[10].score | 0.0 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q7754 |
| concepts[10].display_name | Mathematical analysis |
| keywords[0].id | https://openalex.org/keywords/temperate-climate |
| keywords[0].score | 0.7512347102165222 |
| keywords[0].display_name | Temperate climate |
| keywords[1].id | https://openalex.org/keywords/tree |
| keywords[1].score | 0.5297703742980957 |
| keywords[1].display_name | Tree (set theory) |
| keywords[2].id | https://openalex.org/keywords/geography |
| keywords[2].score | 0.5006046295166016 |
| keywords[2].display_name | Geography |
| keywords[3].id | https://openalex.org/keywords/temperate-rainforest |
| keywords[3].score | 0.4891250729560852 |
| keywords[3].display_name | Temperate rainforest |
| keywords[4].id | https://openalex.org/keywords/forestry |
| keywords[4].score | 0.38241666555404663 |
| keywords[4].display_name | Forestry |
| keywords[5].id | https://openalex.org/keywords/biology |
| keywords[5].score | 0.3232015371322632 |
| keywords[5].display_name | Biology |
| keywords[6].id | https://openalex.org/keywords/agroforestry |
| keywords[6].score | 0.32203149795532227 |
| keywords[6].display_name | Agroforestry |
| keywords[7].id | https://openalex.org/keywords/ecology |
| keywords[7].score | 0.3212801218032837 |
| keywords[7].display_name | Ecology |
| keywords[8].id | https://openalex.org/keywords/mathematics |
| keywords[8].score | 0.13410475850105286 |
| keywords[8].display_name | Mathematics |
| keywords[9].id | https://openalex.org/keywords/ecosystem |
| keywords[9].score | 0.06711483001708984 |
| keywords[9].display_name | Ecosystem |
| language | en |
| locations[0].id | doi:10.5194/egusphere-egu24-17582 |
| locations[0].is_oa | True |
| locations[0].source | |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | acceptedVersion |
| locations[0].raw_type | posted-content |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | True |
| locations[0].is_published | False |
| locations[0].raw_source_name | |
| locations[0].landing_page_url | https://doi.org/10.5194/egusphere-egu24-17582 |
| indexed_in | crossref |
| authorships[0].author.id | https://openalex.org/A5052372877 |
| authorships[0].author.orcid | https://orcid.org/0000-0001-5067-3308 |
| authorships[0].author.display_name | Václav Treml |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | Vaclav Treml |
| authorships[0].is_corresponding | False |
| authorships[1].author.id | https://openalex.org/A5026604667 |
| authorships[1].author.orcid | https://orcid.org/0000-0002-7773-7081 |
| authorships[1].author.display_name | Jan Tumajer |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | Jan Tumajer |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | https://openalex.org/A5006778503 |
| authorships[2].author.orcid | https://orcid.org/0000-0003-4879-5773 |
| authorships[2].author.display_name | Jan Altman |
| authorships[2].countries | CZ |
| authorships[2].affiliations[0].institution_ids | https://openalex.org/I4210132792 |
| authorships[2].affiliations[0].raw_affiliation_string | Institute of Botany of the Czech Academy of Sciences, Třeboň, Czech Republic |
| authorships[2].institutions[0].id | https://openalex.org/I4210132792 |
| authorships[2].institutions[0].ror | https://ror.org/03qqnc658 |
| authorships[2].institutions[0].type | facility |
| authorships[2].institutions[0].lineage | https://openalex.org/I202391551, https://openalex.org/I4210132792 |
| authorships[2].institutions[0].country_code | CZ |
| authorships[2].institutions[0].display_name | Czech Academy of Sciences, Institute of Botany |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | Jan Altman |
| authorships[2].is_corresponding | True |
| authorships[2].raw_affiliation_strings | Institute of Botany of the Czech Academy of Sciences, Třeboň, Czech Republic |
| authorships[3].author.id | https://openalex.org/A5066378636 |
| authorships[3].author.orcid | https://orcid.org/0000-0002-3922-2108 |
| authorships[3].author.display_name | Vojtěch Čada |
| authorships[3].countries | CZ |
| authorships[3].affiliations[0].institution_ids | https://openalex.org/I205984670 |
| authorships[3].affiliations[0].raw_affiliation_string | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[3].institutions[0].id | https://openalex.org/I205984670 |
| authorships[3].institutions[0].ror | https://ror.org/0415vcw02 |
| authorships[3].institutions[0].type | education |
| authorships[3].institutions[0].lineage | https://openalex.org/I205984670 |
| authorships[3].institutions[0].country_code | CZ |
| authorships[3].institutions[0].display_name | Czech University of Life Sciences Prague |
| authorships[3].author_position | middle |
| authorships[3].raw_author_name | Vojtěch Čada |
| authorships[3].is_corresponding | False |
| authorships[3].raw_affiliation_strings | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[4].author.id | https://openalex.org/A5083692652 |
| authorships[4].author.orcid | https://orcid.org/0000-0002-5829-4051 |
| authorships[4].author.display_name | Jiří Doležal |
| authorships[4].countries | CZ |
| authorships[4].affiliations[0].institution_ids | https://openalex.org/I4210132792 |
| authorships[4].affiliations[0].raw_affiliation_string | Institute of Botany of the Czech Academy of Sciences, Třeboň, Czech Republic |
| authorships[4].institutions[0].id | https://openalex.org/I4210132792 |
| authorships[4].institutions[0].ror | https://ror.org/03qqnc658 |
| authorships[4].institutions[0].type | facility |
| authorships[4].institutions[0].lineage | https://openalex.org/I202391551, https://openalex.org/I4210132792 |
| authorships[4].institutions[0].country_code | CZ |
| authorships[4].institutions[0].display_name | Czech Academy of Sciences, Institute of Botany |
| authorships[4].author_position | middle |
| authorships[4].raw_author_name | Jiří Doležal |
| authorships[4].is_corresponding | False |
| authorships[4].raw_affiliation_strings | Institute of Botany of the Czech Academy of Sciences, Třeboň, Czech Republic |
| authorships[5].author.id | https://openalex.org/A5014327065 |
| authorships[5].author.orcid | https://orcid.org/0000-0003-4732-6908 |
| authorships[5].author.display_name | Pavel Janda |
| authorships[5].countries | CZ |
| authorships[5].affiliations[0].institution_ids | https://openalex.org/I205984670 |
| authorships[5].affiliations[0].raw_affiliation_string | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[5].institutions[0].id | https://openalex.org/I205984670 |
| authorships[5].institutions[0].ror | https://ror.org/0415vcw02 |
| authorships[5].institutions[0].type | education |
| authorships[5].institutions[0].lineage | https://openalex.org/I205984670 |
| authorships[5].institutions[0].country_code | CZ |
| authorships[5].institutions[0].display_name | Czech University of Life Sciences Prague |
| authorships[5].author_position | middle |
| authorships[5].raw_author_name | Pavel Janda |
| authorships[5].is_corresponding | False |
| authorships[5].raw_affiliation_strings | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[6].author.id | https://openalex.org/A5037232796 |
| authorships[6].author.orcid | https://orcid.org/0000-0003-1567-7914 |
| authorships[6].author.display_name | Ryszard J. Kaczka |
| authorships[6].author_position | middle |
| authorships[6].raw_author_name | Ryszard Kaczka |
| authorships[6].is_corresponding | False |
| authorships[7].author.id | https://openalex.org/A5005828594 |
| authorships[7].author.orcid | https://orcid.org/0000-0003-1780-6310 |
| authorships[7].author.display_name | Jakub Kašpar |
| authorships[7].countries | CZ |
| authorships[7].affiliations[0].institution_ids | https://openalex.org/I4210146818 |
| authorships[7].affiliations[0].raw_affiliation_string | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[7].institutions[0].id | https://openalex.org/I4210146818 |
| authorships[7].institutions[0].ror | https://ror.org/04gf11d56 |
| authorships[7].institutions[0].type | facility |
| authorships[7].institutions[0].lineage | https://openalex.org/I4210146818 |
| authorships[7].institutions[0].country_code | CZ |
| authorships[7].institutions[0].display_name | Landscape Research Institute |
| authorships[7].author_position | middle |
| authorships[7].raw_author_name | Jakub Kašpar |
| authorships[7].is_corresponding | False |
| authorships[7].raw_affiliation_strings | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[8].author.id | https://openalex.org/A5008680197 |
| authorships[8].author.orcid | https://orcid.org/0000-0002-6461-7582 |
| authorships[8].author.display_name | Tomáš Kolář |
| authorships[8].countries | CZ |
| authorships[8].affiliations[0].institution_ids | https://openalex.org/I56081889 |
| authorships[8].affiliations[0].raw_affiliation_string | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[8].institutions[0].id | https://openalex.org/I56081889 |
| authorships[8].institutions[0].ror | https://ror.org/058aeep47 |
| authorships[8].institutions[0].type | education |
| authorships[8].institutions[0].lineage | https://openalex.org/I56081889 |
| authorships[8].institutions[0].country_code | CZ |
| authorships[8].institutions[0].display_name | Mendel University in Brno |
| authorships[8].author_position | middle |
| authorships[8].raw_author_name | Tomáš Kolář |
| authorships[8].is_corresponding | False |
| authorships[8].raw_affiliation_strings | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[9].author.id | https://openalex.org/A5085662850 |
| authorships[9].author.orcid | https://orcid.org/0000-0002-3494-9113 |
| authorships[9].author.display_name | Jiří Mašek |
| authorships[9].author_position | middle |
| authorships[9].raw_author_name | Jiří Mašek |
| authorships[9].is_corresponding | False |
| authorships[10].author.id | https://openalex.org/A5058175852 |
| authorships[10].author.orcid | https://orcid.org/0000-0003-3592-461X |
| authorships[10].author.display_name | Filip Oulehle |
| authorships[10].countries | CZ |
| authorships[10].affiliations[0].institution_ids | https://openalex.org/I4210127297 |
| authorships[10].affiliations[0].raw_affiliation_string | Czech Geological Survey, Prague, Czech Republic |
| authorships[10].institutions[0].id | https://openalex.org/I4210127297 |
| authorships[10].institutions[0].ror | https://ror.org/02xz6bf62 |
| authorships[10].institutions[0].type | government |
| authorships[10].institutions[0].lineage | https://openalex.org/I4210127297 |
| authorships[10].institutions[0].country_code | CZ |
| authorships[10].institutions[0].display_name | Czech Geological Survey |
| authorships[10].author_position | middle |
| authorships[10].raw_author_name | Filip Oulehle |
| authorships[10].is_corresponding | True |
| authorships[10].raw_affiliation_strings | Czech Geological Survey, Prague, Czech Republic |
| authorships[11].author.id | https://openalex.org/A5071638332 |
| authorships[11].author.orcid | https://orcid.org/0000-0003-1299-8923 |
| authorships[11].author.display_name | Michal Rybníček |
| authorships[11].countries | CZ |
| authorships[11].affiliations[0].institution_ids | https://openalex.org/I56081889 |
| authorships[11].affiliations[0].raw_affiliation_string | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[11].institutions[0].id | https://openalex.org/I56081889 |
| authorships[11].institutions[0].ror | https://ror.org/058aeep47 |
| authorships[11].institutions[0].type | education |
| authorships[11].institutions[0].lineage | https://openalex.org/I56081889 |
| authorships[11].institutions[0].country_code | CZ |
| authorships[11].institutions[0].display_name | Mendel University in Brno |
| authorships[11].author_position | middle |
| authorships[11].raw_author_name | Michal Rybníček |
| authorships[11].is_corresponding | False |
| authorships[11].raw_affiliation_strings | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[12].author.id | https://openalex.org/A5066279530 |
| authorships[12].author.orcid | https://orcid.org/0000-0001-5079-2534 |
| authorships[12].author.display_name | Miloš Rydval |
| authorships[12].countries | CZ |
| authorships[12].affiliations[0].institution_ids | https://openalex.org/I205984670 |
| authorships[12].affiliations[0].raw_affiliation_string | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[12].institutions[0].id | https://openalex.org/I205984670 |
| authorships[12].institutions[0].ror | https://ror.org/0415vcw02 |
| authorships[12].institutions[0].type | education |
| authorships[12].institutions[0].lineage | https://openalex.org/I205984670 |
| authorships[12].institutions[0].country_code | CZ |
| authorships[12].institutions[0].display_name | Czech University of Life Sciences Prague |
| authorships[12].author_position | middle |
| authorships[12].raw_author_name | Miloš Rydval |
| authorships[12].is_corresponding | True |
| authorships[12].raw_affiliation_strings | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[13].author.id | https://openalex.org/A5076283753 |
| authorships[13].author.orcid | https://orcid.org/0000-0003-4050-3422 |
| authorships[13].author.display_name | Miroslav Svoboda |
| authorships[13].countries | CZ |
| authorships[13].affiliations[0].institution_ids | https://openalex.org/I205984670 |
| authorships[13].affiliations[0].raw_affiliation_string | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[13].institutions[0].id | https://openalex.org/I205984670 |
| authorships[13].institutions[0].ror | https://ror.org/0415vcw02 |
| authorships[13].institutions[0].type | education |
| authorships[13].institutions[0].lineage | https://openalex.org/I205984670 |
| authorships[13].institutions[0].country_code | CZ |
| authorships[13].institutions[0].display_name | Czech University of Life Sciences Prague |
| authorships[13].author_position | middle |
| authorships[13].raw_author_name | Miroslav Svoboda |
| authorships[13].is_corresponding | False |
| authorships[13].raw_affiliation_strings | Department of Forest Ecology, Czech University of Life Sciences, Prague, Czech Republic |
| authorships[14].author.id | https://openalex.org/A5021379755 |
| authorships[14].author.orcid | https://orcid.org/0000-0002-8314-6632 |
| authorships[14].author.display_name | Martin Šenfeldr |
| authorships[14].countries | CZ |
| authorships[14].affiliations[0].institution_ids | https://openalex.org/I56081889 |
| authorships[14].affiliations[0].raw_affiliation_string | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[14].institutions[0].id | https://openalex.org/I56081889 |
| authorships[14].institutions[0].ror | https://ror.org/058aeep47 |
| authorships[14].institutions[0].type | education |
| authorships[14].institutions[0].lineage | https://openalex.org/I56081889 |
| authorships[14].institutions[0].country_code | CZ |
| authorships[14].institutions[0].display_name | Mendel University in Brno |
| authorships[14].author_position | middle |
| authorships[14].raw_author_name | Martin Šenfeldr |
| authorships[14].is_corresponding | False |
| authorships[14].raw_affiliation_strings | Faculty of Forestry and Wood Technology, Mendel University, Brno, Czech Republic |
| authorships[15].author.id | https://openalex.org/A5032056346 |
| authorships[15].author.orcid | https://orcid.org/0000-0002-7722-8797 |
| authorships[15].author.display_name | Pavel Šamonil |
| authorships[15].countries | CZ |
| authorships[15].affiliations[0].institution_ids | https://openalex.org/I4210146818 |
| authorships[15].affiliations[0].raw_affiliation_string | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[15].institutions[0].id | https://openalex.org/I4210146818 |
| authorships[15].institutions[0].ror | https://ror.org/04gf11d56 |
| authorships[15].institutions[0].type | facility |
| authorships[15].institutions[0].lineage | https://openalex.org/I4210146818 |
| authorships[15].institutions[0].country_code | CZ |
| authorships[15].institutions[0].display_name | Landscape Research Institute |
| authorships[15].author_position | middle |
| authorships[15].raw_author_name | Pavel Šamonil |
| authorships[15].is_corresponding | False |
| authorships[15].raw_affiliation_strings | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[16].author.id | https://openalex.org/A5050912467 |
| authorships[16].author.orcid | https://orcid.org/0000-0002-6070-5956 |
| authorships[16].author.display_name | Ivana Vašíčková |
| authorships[16].countries | CZ |
| authorships[16].affiliations[0].institution_ids | https://openalex.org/I4210146818 |
| authorships[16].affiliations[0].raw_affiliation_string | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[16].institutions[0].id | https://openalex.org/I4210146818 |
| authorships[16].institutions[0].ror | https://ror.org/04gf11d56 |
| authorships[16].institutions[0].type | facility |
| authorships[16].institutions[0].lineage | https://openalex.org/I4210146818 |
| authorships[16].institutions[0].country_code | CZ |
| authorships[16].institutions[0].display_name | Landscape Research Institute |
| authorships[16].author_position | middle |
| authorships[16].raw_author_name | Ivana Vašíčková |
| authorships[16].is_corresponding | False |
| authorships[16].raw_affiliation_strings | Department of Forest Ecology, The Silva Tarouca Research Institute, Brno, Czech Republic |
| authorships[17].author.id | https://openalex.org/A5083793205 |
| authorships[17].author.orcid | https://orcid.org/0000-0002-6645-7674 |
| authorships[17].author.display_name | Monika Vejpustková |
| authorships[17].countries | CZ |
| authorships[17].affiliations[0].institution_ids | https://openalex.org/I4210126036 |
| authorships[17].affiliations[0].raw_affiliation_string | Forestry and Game Management Research Institute, Prague, Czech Republic, |
| authorships[17].institutions[0].id | https://openalex.org/I4210126036 |
| authorships[17].institutions[0].ror | https://ror.org/034cj1z12 |
| authorships[17].institutions[0].type | facility |
| authorships[17].institutions[0].lineage | https://openalex.org/I4210126036 |
| authorships[17].institutions[0].country_code | CZ |
| authorships[17].institutions[0].display_name | Forestry and Game Management Research Institute |
| authorships[17].author_position | last |
| authorships[17].raw_author_name | Monika Vejpustková |
| authorships[17].is_corresponding | False |
| authorships[17].raw_affiliation_strings | Forestry and Game Management Research Institute, Prague, Czech Republic, |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5194/egusphere-egu24-17582 |
| open_access.oa_status | gold |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-10-10T00:00:00 |
| display_name | Increasing stem dimensions of European temperate tree species between 1990 and 2015 |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-06T03:46:38.306776 |
| primary_topic.id | https://openalex.org/T11880 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.9957000017166138 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2309 |
| primary_topic.subfield.display_name | Nature and Landscape Conservation |
| primary_topic.display_name | Forest ecology and management |
| related_works | https://openalex.org/W4236755539, https://openalex.org/W2952583970, https://openalex.org/W634181972, https://openalex.org/W1490464048, https://openalex.org/W2991187149, https://openalex.org/W2017546893, https://openalex.org/W2488800242, https://openalex.org/W52579230, https://openalex.org/W653552058, https://openalex.org/W2494762603 |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | doi:10.5194/egusphere-egu24-17582 |
| best_oa_location.is_oa | True |
| best_oa_location.source | |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | acceptedVersion |
| best_oa_location.raw_type | posted-content |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | True |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | |
| best_oa_location.landing_page_url | https://doi.org/10.5194/egusphere-egu24-17582 |
| primary_location.id | doi:10.5194/egusphere-egu24-17582 |
| primary_location.is_oa | True |
| primary_location.source | |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | acceptedVersion |
| primary_location.raw_type | posted-content |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | True |
| primary_location.is_published | False |
| primary_location.raw_source_name | |
| primary_location.landing_page_url | https://doi.org/10.5194/egusphere-egu24-17582 |
| publication_date | 2024-03-11 |
| publication_year | 2024 |
| referenced_works_count | 0 |
| abstract_inverted_index.1 | 207 |
| abstract_inverted_index.a | 51, 169, 335, 412, 440 |
| abstract_inverted_index.25 | 210 |
| abstract_inverted_index.78 | 223 |
| abstract_inverted_index.In | 144 |
| abstract_inverted_index.We | 235, 315, 326 |
| abstract_inverted_index.an | 126, 137 |
| abstract_inverted_index.as | 16, 268, 341, 490 |
| abstract_inverted_index.at | 73, 132, 165, 301, 417, 429 |
| abstract_inverted_index.by | 6, 18, 23, 162, 181, 242, 274, 343, 358 |
| abstract_inverted_index.in | 31, 43, 215, 232, 245, 252, 320, 338, 369, 399, 402, 435, 452, 466, 470, 492 |
| abstract_inverted_index.is | 4, 49, 205 |
| abstract_inverted_index.it | 34, 111, 263 |
| abstract_inverted_index.of | 56, 70, 87, 103, 115, 141, 152, 159, 172, 191, 194, 202, 212, 222, 285, 305, 384, 415, 455, 462 |
| abstract_inverted_index.on | 136, 311, 388 |
| abstract_inverted_index.or | 22, 82 |
| abstract_inverted_index.so | 261 |
| abstract_inverted_index.to | 91, 460, 480, 485 |
| abstract_inverted_index.we | 124, 147, 296 |
| abstract_inverted_index.000 | 224 |
| abstract_inverted_index.CO2 | 2, 19 |
| abstract_inverted_index.DBH | 321, 344, 351, 370, 428 |
| abstract_inverted_index.For | 288 |
| abstract_inverted_index.GPP | 41 |
| abstract_inverted_index.Our | 185, 445 |
| abstract_inverted_index.The | 349 |
| abstract_inverted_index.age | 266, 277, 283 |
| abstract_inverted_index.all | 293, 329 |
| abstract_inverted_index.and | 76, 106, 168, 254, 292, 324, 347, 364, 373, 393, 408, 482 |
| abstract_inverted_index.for | 100, 107, 119, 318 |
| abstract_inverted_index.has | 264 |
| abstract_inverted_index.how | 38 |
| abstract_inverted_index.is, | 35 |
| abstract_inverted_index.km2 | 211 |
| abstract_inverted_index.old | 276, 308 |
| abstract_inverted_index.our | 286 |
| abstract_inverted_index.per | 209 |
| abstract_inverted_index.set | 140, 248, 260, 272, 280 |
| abstract_inverted_index.sp. | 410 |
| abstract_inverted_index.the | 28, 39, 101, 233, 257, 269, 448, 471 |
| abstract_inverted_index.two | 149 |
| abstract_inverted_index.1990 | 246, 270, 323, 346, 374 |
| abstract_inverted_index.2015 | 372 |
| abstract_inverted_index.alba | 355 |
| abstract_inverted_index.also | 112, 425 |
| abstract_inverted_index.area | 214, 313 |
| abstract_inverted_index.both | 289 |
| abstract_inverted_index.core | 189, 453 |
| abstract_inverted_index.data | 97, 117, 130, 139, 154, 175, 240, 259, 271, 290 |
| abstract_inverted_index.fast | 421 |
| abstract_inverted_index.five | 195 |
| abstract_inverted_index.flux | 20 |
| abstract_inverted_index.from | 61, 67, 79 |
| abstract_inverted_index.i.e. | 437 |
| abstract_inverted_index.km2) | 225 |
| abstract_inverted_index.life | 488 |
| abstract_inverted_index.main | 196 |
| abstract_inverted_index.make | 95 |
| abstract_inverted_index.mean | 298 |
| abstract_inverted_index.more | 432, 478 |
| abstract_inverted_index.sets | 241, 291 |
| abstract_inverted_index.site | 208 |
| abstract_inverted_index.size | 475 |
| abstract_inverted_index.stem | 45, 71, 160, 299, 339, 400, 474 |
| abstract_inverted_index.than | 469 |
| abstract_inverted_index.that | 262, 328 |
| abstract_inverted_index.then | 255, 316 |
| abstract_inverted_index.this | 96, 116, 145, 227 |
| abstract_inverted_index.time | 183 |
| abstract_inverted_index.tree | 44, 199, 309 |
| abstract_inverted_index.way, | 146 |
| abstract_inverted_index.were | 375 |
| abstract_inverted_index.wide | 177 |
| abstract_inverted_index.with | 420, 431 |
| abstract_inverted_index.(DBH) | 304 |
| abstract_inverted_index.(GPP) | 11 |
| abstract_inverted_index.(area | 221 |
| abstract_inverted_index.(data | 247, 279 |
| abstract_inverted_index.1990) | 253 |
| abstract_inverted_index.2015) | 281 |
| abstract_inverted_index.2015. | 325, 348 |
| abstract_inverted_index.Abies | 354 |
| abstract_inverted_index.Czech | 219 |
| abstract_inverted_index.Fagus | 359, 394 |
| abstract_inverted_index.Here, | 123 |
| abstract_inverted_index.Picea | 365, 391, 406 |
| abstract_inverted_index.Pinus | 332 |
| abstract_inverted_index.SPEI, | 436 |
| abstract_inverted_index.There | 48 |
| abstract_inverted_index.abies | 366, 392, 407 |
| abstract_inverted_index.adapt | 256 |
| abstract_inverted_index.basal | 312 |
| abstract_inverted_index.based | 135, 310 |
| abstract_inverted_index.data. | 287 |
| abstract_inverted_index.dense | 170 |
| abstract_inverted_index.first | 236 |
| abstract_inverted_index.found | 327 |
| abstract_inverted_index.gross | 8 |
| abstract_inverted_index.leads | 484 |
| abstract_inverted_index.local | 389 |
| abstract_inverted_index.makes | 476 |
| abstract_inverted_index.other | 493 |
| abstract_inverted_index.parts | 190 |
| abstract_inverted_index.past. | 472 |
| abstract_inverted_index.plots | 134, 167 |
| abstract_inverted_index.sites | 294, 419 |
| abstract_inverted_index.spans | 489 |
| abstract_inverted_index.still | 50 |
| abstract_inverted_index.their | 243, 486 |
| abstract_inverted_index.those | 438 |
| abstract_inverted_index.trees | 465, 477 |
| abstract_inverted_index.trend | 93, 441 |
| abstract_inverted_index.which | 12 |
| abstract_inverted_index.Europe | 217 |
| abstract_inverted_index.across | 378 |
| abstract_inverted_index.areas. | 404 |
| abstract_inverted_index.breast | 302 |
| abstract_inverted_index.colder | 403 |
| abstract_inverted_index.except | 331 |
| abstract_inverted_index.forest | 1, 57 |
| abstract_inverted_index.global | 24 |
| abstract_inverted_index.growth | 416, 450 |
| abstract_inverted_index.height | 303 |
| abstract_inverted_index.highly | 173 |
| abstract_inverted_index.larger | 463 |
| abstract_inverted_index.lesser | 397 |
| abstract_inverted_index.mainly | 273 |
| abstract_inverted_index.making | 226 |
| abstract_inverted_index.models | 81 |
| abstract_inverted_index.namely | 218 |
| abstract_inverted_index.plots, | 75 |
| abstract_inverted_index.ranges | 193 |
| abstract_inverted_index.region | 454 |
| abstract_inverted_index.sample | 250 |
| abstract_inverted_index.series | 89 |
| abstract_inverted_index.showed | 334, 411 |
| abstract_inverted_index.source | 98, 118 |
| abstract_inverted_index.strong | 150 |
| abstract_inverted_index.tested | 317 |
| abstract_inverted_index.trends | 15, 59, 121, 434 |
| abstract_inverted_index.unique | 99 |
| abstract_inverted_index.wetter | 443 |
| abstract_inverted_index.Central | 216 |
| abstract_inverted_index.Density | 201 |
| abstract_inverted_index.Quercus | 362, 409, 424 |
| abstract_inverted_index.average | 306 |
| abstract_inverted_index.between | 54, 322, 345, 371 |
| abstract_inverted_index.biomass | 46, 58, 72, 120, 161 |
| abstract_inverted_index.certain | 52 |
| abstract_inverted_index.classes | 278 |
| abstract_inverted_index.current | 467 |
| abstract_inverted_index.densest | 231 |
| abstract_inverted_index.derived | 60, 78 |
| abstract_inverted_index.ensured | 5 |
| abstract_inverted_index.factors | 386 |
| abstract_inverted_index.forests | 458, 468 |
| abstract_inverted_index.growing | 40, 422 |
| abstract_inverted_index.highest | 350 |
| abstract_inverted_index.however | 110 |
| abstract_inverted_index.leading | 459 |
| abstract_inverted_index.models. | 26 |
| abstract_inverted_index.network | 171, 187, 204, 229 |
| abstract_inverted_index.present | 125 |
| abstract_inverted_index.primary | 9 |
| abstract_inverted_index.related | 90 |
| abstract_inverted_index.removal | 94 |
| abstract_inverted_index.results | 446 |
| abstract_inverted_index.roughly | 206 |
| abstract_inverted_index.series, | 64 |
| abstract_inverted_index.series. | 184 |
| abstract_inverted_index.shorter | 487 |
| abstract_inverted_index.similar | 265 |
| abstract_inverted_index.species | 330 |
| abstract_inverted_index.towards | 442 |
| abstract_inverted_index.(+5.5%), | 361 |
| abstract_inverted_index.100-year | 307 |
| abstract_inverted_index.European | 197, 456 |
| abstract_inverted_index.Republic | 220 |
| abstract_inverted_index.acquired | 66 |
| abstract_inverted_index.age/size | 92 |
| abstract_inverted_index.approach | 127 |
| abstract_inverted_index.assuring | 282 |
| abstract_inverted_index.benefits | 151 |
| abstract_inverted_index.captures | 188 |
| abstract_inverted_index.climate. | 444 |
| abstract_inverted_index.climatic | 108 |
| abstract_inverted_index.covering | 176 |
| abstract_inverted_index.diameter | 300 |
| abstract_inverted_index.enhanced | 7 |
| abstract_inverted_index.enlarged | 427 |
| abstract_inverted_index.followed | 357 |
| abstract_inverted_index.forested | 213 |
| abstract_inverted_index.however, | 36 |
| abstract_inverted_index.imprints | 42 |
| abstract_inverted_index.increase | 30, 337, 352, 398 |
| abstract_inverted_index.original | 238, 258 |
| abstract_inverted_index.positive | 433 |
| abstract_inverted_index.presence | 461 |
| abstract_inverted_index.probably | 230 |
| abstract_inverted_index.provided | 180 |
| abstract_inverted_index.reliable | 156 |
| abstract_inverted_index.repeated | 68, 129, 163 |
| abstract_inverted_index.reported | 491 |
| abstract_inverted_index.species. | 200 |
| abstract_inverted_index.studies. | 494 |
| abstract_inverted_index.(+13.5%), | 356 |
| abstract_inverted_index.connected | 148 |
| abstract_inverted_index.dimension | 340 |
| abstract_inverted_index.ecosystem | 32 |
| abstract_inverted_index.estimates | 55, 158 |
| abstract_inverted_index.excluding | 275 |
| abstract_inverted_index.exhibited | 13, 353, 396 |
| abstract_inverted_index.extensive | 138 |
| abstract_inverted_index.gradients | 179, 380 |
| abstract_inverted_index.included, | 295 |
| abstract_inverted_index.increase. | 47 |
| abstract_inverted_index.increases | 113 |
| abstract_inverted_index.indicated | 342 |
| abstract_inverted_index.influence | 383 |
| abstract_inverted_index.locations | 430 |
| abstract_inverted_index.mimicking | 128, 249 |
| abstract_inverted_index.permanent | 74, 133, 166 |
| abstract_inverted_index.pervasive | 449 |
| abstract_inverted_index.sensitive | 479 |
| abstract_inverted_index.structure | 267 |
| abstract_inverted_index.sylvatica | 360, 395 |
| abstract_inverted_index.temperate | 198, 457 |
| abstract_inverted_index.tree-ring | 63, 88, 142, 182, 186, 203, 228, 239 |
| abstract_inverted_index.uncertain | 37 |
| abstract_inverted_index.Increasing | 0, 473 |
| abstract_inverted_index.absorption | 3 |
| abstract_inverted_index.assessment | 102 |
| abstract_inverted_index.calculated | 297 |
| abstract_inverted_index.collection | 131, 251 |
| abstract_inverted_index.dimensions | 401 |
| abstract_inverted_index.documented | 17 |
| abstract_inverted_index.flux-tower | 83 |
| abstract_inverted_index.homogenous | 377 |
| abstract_inverted_index.increasing | 14 |
| abstract_inverted_index.prevailing | 382 |
| abstract_inverted_index.procedures | 86 |
| abstract_inverted_index.production | 10 |
| abstract_inverted_index.productive | 418 |
| abstract_inverted_index.relatively | 376 |
| abstract_inverted_index.replicated | 174 |
| abstract_inverted_index.sp.(+5.2%) | 363 |
| abstract_inverted_index.suggesting | 381 |
| abstract_inverted_index.sylvestris | 333 |
| abstract_inverted_index.truncation | 244 |
| abstract_inverted_index.vegetation | 25, 80 |
| abstract_inverted_index.– | 155 |
| abstract_inverted_index.Considering | 27 |
| abstract_inverted_index.Differences | 368 |
| abstract_inverted_index.assessment. | 122 |
| abstract_inverted_index.corroborate | 447 |
| abstract_inverted_index.differences | 319 |
| abstract_inverted_index.discrepancy | 53 |
| abstract_inverted_index.enhancement | 414 |
| abstract_inverted_index.increments. | 314 |
| abstract_inverted_index.independent | 387 |
| abstract_inverted_index.information | 65, 77 |
| abstract_inverted_index.large-scale | 385 |
| abstract_inverted_index.manipulated | 237 |
| abstract_inverted_index.potentially | 483 |
| abstract_inverted_index.significant | 336, 413 |
| abstract_inverted_index.uncertainty | 114 |
| abstract_inverted_index.Furthermore, | 405 |
| abstract_inverted_index.acceleration | 451 |
| abstract_inverted_index.canopy-level | 464 |
| abstract_inverted_index.distribution | 192 |
| abstract_inverted_index.disturbances | 481 |
| abstract_inverted_index.experiencing | 439 |
| abstract_inverted_index.independency | 284 |
| abstract_inverted_index.individuals. | 423 |
| abstract_inverted_index.measurements | 21, 164 |
| abstract_inverted_index.respiration, | 33 |
| abstract_inverted_index.simultaneous | 29 |
| abstract_inverted_index.standardized | 62 |
| abstract_inverted_index.environmental | 178, 379 |
| abstract_inverted_index.measurements. | 84 |
| abstract_inverted_index.relationships | 105 |
| abstract_inverted_index.significantly | 426 |
| abstract_inverted_index.climate-growth | 104 |
| abstract_inverted_index.above-mentioned | 153 |
| abstract_inverted_index.age-independent | 157 |
| abstract_inverted_index.re-measurements | 69 |
| abstract_inverted_index.reconstruction, | 109 |
| abstract_inverted_index.sites.  | 143 |
| abstract_inverted_index.world.  | 234 |
| abstract_inverted_index.(+4.7%).  | 367 |
| abstract_inverted_index.conditions.  | 390 |
| abstract_inverted_index. Standardization | 85 |
| cited_by_percentile_year | |
| corresponding_author_ids | https://openalex.org/A5058175852, https://openalex.org/A5006778503, https://openalex.org/A5066279530 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 18 |
| corresponding_institution_ids | https://openalex.org/I205984670, https://openalex.org/I4210127297, https://openalex.org/I4210132792 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/13 |
| sustainable_development_goals[0].score | 0.46000000834465027 |
| sustainable_development_goals[0].display_name | Climate action |
| citation_normalized_percentile.value | 0.03924922 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |