TY  - JOUR
AU  - Sporbert, Maria
AU  - Welk, Erik
AU  - Seidler, Gunnar
AU  - Jandt, Ute
AU  - Aćić, Svetlana
AU  - Biurrun, Idoia
AU  - Campos, Juan Antonio
AU  - Čarni, Andraž
AU  - Cerabolini, Bruno E. L.
AU  - Chytrý, Milan
AU  - Čušterevska, Renata
AU  - Dengler, Jürgen
AU  - De Sanctis, Michele
AU  - Dziuba, Tetiana
AU  - Fagúndez, Jaime
AU  - Field, Richard
AU  - Golub, Valentin
AU  - He, Tianhua
AU  - Jansen, Florian
AU  - Lenoir, Jonathan
AU  - Marcenò, Corrado
AU  - Martín- Forés, Irene
AU  - Erenskjold Moeslund, Jesper
AU  - Moretti, Marco
AU  - Niinemets, Ülo
AU  - Penuelas, Josep
AU  - Pérez- Haase, Aaron
AU  - Vandvik, Vigdis
AU  - Vassilev, Kiril
AU  - Vynokurov, Denys
AU  - Bruelheide, Helge
PY  - 2021
UR  - http://aspace.agrif.bg.ac.rs/handle/123456789/5845
AB  - Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location: Eurasia. Methods: Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results: Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion: Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general importance of resource acquisition strategies for the abundance and distribution of herbaceous, dwarf shrub and shrub species.
PB  - John Wiley and Sons Inc
T2  - Journal of Vegetation Science
T1  - Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales
IS  - 2
SP  - e13016
VL  - 32
DO  - 10.1111/jvs.13016
ER  - 

@article{
author = "Sporbert, Maria and Welk, Erik and Seidler, Gunnar and Jandt, Ute and Aćić, Svetlana and Biurrun, Idoia and Campos, Juan Antonio and Čarni, Andraž and Cerabolini, Bruno E. L. and Chytrý, Milan and Čušterevska, Renata and Dengler, Jürgen and De Sanctis, Michele and Dziuba, Tetiana and Fagúndez, Jaime and Field, Richard and Golub, Valentin and He, Tianhua and Jansen, Florian and Lenoir, Jonathan and Marcenò, Corrado and Martín- Forés, Irene and Erenskjold Moeslund, Jesper and Moretti, Marco and Niinemets, Ülo and Penuelas, Josep and Pérez- Haase, Aaron and Vandvik, Vigdis and Vassilev, Kiril and Vynokurov, Denys and Bruelheide, Helge",
year = "2021",
abstract = "Plant functional traits summarize the main variability in plant form and function across taxa and biomes. We assess whether geographic range size, climatic niche size, and local abundance of plants can be predicted by sets of traits (trait syndromes) or are driven by single traits. Location: Eurasia. Methods: Species distribution maps were extracted from the Chorological Database Halle to derive information on the geographic range size and climatic niche size for 456 herbaceous, dwarf shrub and shrub species. We estimated local species abundances based on 740,113 vegetation plots from the European Vegetation Archive, where abundances were available as plant species cover per plot. We compiled a complete species-by-trait matrix of 20 plant functional traits from trait databases (TRY, BiolFlor and CLO-PLA). The relationships of species’ geographic range size, climatic niche size and local abundance with single traits and trait syndromes were tested with multiple linear regression models. Results: Generally, traits were more strongly related to local abundances than to broad-scale species distribution patterns in geographic and climatic space (range and niche size), but both were better predicted by trait combinations than by single traits. Local abundance increased with leaf area and specific leaf area (SLA). Geographic range size and climatic niche size both increased with SLA. While range size increased with plant height, niche size decreased with leaf carbon content. Conclusion: Functional traits matter for species’ abundance and distribution at both local and broad geographic scale. Local abundances are associated with different combinations of traits as compared to broad-scale distributions, pointing to filtering by different environmental and ecological factors acting at distinct spatial scales. However, traits related to the leaf economics spectrum were important for species’ abundance and occurrence at both spatial scales. This finding emphasizes the general importance of resource acquisition strategies for the abundance and distribution of herbaceous, dwarf shrub and shrub species.",
publisher = "John Wiley and Sons Inc",
journal = "Journal of Vegetation Science",
title = "Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales",
number = "2",
pages = "e13016",
volume = "32",
doi = "10.1111/jvs.13016"
}

Sporbert, M., Welk, E., Seidler, G., Jandt, U., Aćić, S., Biurrun, I., Campos, J. A., Čarni, A., Cerabolini, B. E. L., Chytrý, M., Čušterevska, R., Dengler, J., De Sanctis, M., Dziuba, T., Fagúndez, J., Field, R., Golub, V., He, T., Jansen, F., Lenoir, J., Marcenò, C., Martín- Forés, I., Erenskjold Moeslund, J., Moretti, M., Niinemets, Ü., Penuelas, J., Pérez- Haase, A., Vandvik, V., Vassilev, K., Vynokurov, D.,& Bruelheide, H.. (2021). Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales. in Journal of Vegetation Science
John Wiley and Sons Inc., 32(2), e13016.
https://doi.org/10.1111/jvs.13016

Sporbert M, Welk E, Seidler G, Jandt U, Aćić S, Biurrun I, Campos JA, Čarni A, Cerabolini BEL, Chytrý M, Čušterevska R, Dengler J, De Sanctis M, Dziuba T, Fagúndez J, Field R, Golub V, He T, Jansen F, Lenoir J, Marcenò C, Martín- Forés I, Erenskjold Moeslund J, Moretti M, Niinemets Ü, Penuelas J, Pérez- Haase A, Vandvik V, Vassilev K, Vynokurov D, Bruelheide H. Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales. in Journal of Vegetation Science. 2021;32(2):e13016.
doi:10.1111/jvs.13016 .

Sporbert, Maria, Welk, Erik, Seidler, Gunnar, Jandt, Ute, Aćić, Svetlana, Biurrun, Idoia, Campos, Juan Antonio, Čarni, Andraž, Cerabolini, Bruno E. L., Chytrý, Milan, Čušterevska, Renata, Dengler, Jürgen, De Sanctis, Michele, Dziuba, Tetiana, Fagúndez, Jaime, Field, Richard, Golub, Valentin, He, Tianhua, Jansen, Florian, Lenoir, Jonathan, Marcenò, Corrado, Martín- Forés, Irene, Erenskjold Moeslund, Jesper, Moretti, Marco, Niinemets, Ülo, Penuelas, Josep, Pérez- Haase, Aaron, Vandvik, Vigdis, Vassilev, Kiril, Vynokurov, Denys, Bruelheide, Helge, "Different sets of traits explain abundance and distribution patterns of European plants at different spatial scales" in Journal of Vegetation Science, 32, no. 2 (2021):e13016,
https://doi.org/10.1111/jvs.13016 . .