Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests

We studied the differentiation among plant communities of deciduous broadleaved and mountain coniferous forests in terms of functional diversity and identity at a regional scale (northern and central Greece). We asked if patterns of functional differentiation among communities are consistent between...

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Autores principales:	Anna Mastrogianni, Milan Chytrý, Athanasios S. Kallimanis, Ioannis Tsiripidis
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Balkan Peninsula Forest vegetation Functional diversity Functional identity Functional structure Greece Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/3dbc9486c24d4269adeac040a060c274
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spelling	oai:doaj.org-article:3dbc9486c24d4269adeac040a060c2742021-12-01T05:00:56ZPlant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests1470-160X10.1016/j.ecolind.2021.108229https://doaj.org/article/3dbc9486c24d4269adeac040a060c2742021-11-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21008943https://doaj.org/toc/1470-160XWe studied the differentiation among plant communities of deciduous broadleaved and mountain coniferous forests in terms of functional diversity and identity at a regional scale (northern and central Greece). We asked if patterns of functional differentiation among communities are consistent between the overstorey and understorey layers and if they can be influenced by deep past environmental conditions. Functional Richness (FRic) and Functional Dispersion (FDis), as well as their standardized effect sizes, were employed to assess the multivariate functional diversity of the community types. In contrast, single-trait Community Weighted Means (CWMs) were used as surrogates of functional identity. The aforementioned indices were calculated for three datasets, namely all the vascular plant taxa found in individual vegetation plots (total community), all phanerophyte (tree and shrub) taxa (overstorey) and all non-phanerophyte vascular plant taxa (understorey). We found that community types and especially four broad forest types (beech, ravine, pine and oak forests) are well differentiated in terms of functional composition (identity), as indicated by Non-Metric Multidimensional Scaling (NMDS). After conducting an NMDS for the three datasets, functional identity based on the total floristic composition was found to be the best discriminator of the studied communities. However, contrasting patterns were found for some specific traits or their categories between overstorey and understorey layers. The patterns of functional diversity of the community types (based on multivariate indices), revealed by calculating the standardized effect sizes of FRic and FDis based on the richness null model, did not differ substantially from random expectations for most of the studied community types when the dataset of all the vascular plant taxa was analyzed. However, the patterns revealed for the overstorey layer differed from those for the understorey layer. For the latter layer, the clustered structure was revealed in many community types based on the ses.FDis metric. Indications of deep past influence on the functional composition were found for certain community types (i.e. ravine forests) based on single-trait metrics, but no indication of such influence was found based on multivariate indices. Our findings highlight the complementarity and the additive explanatory value of the simultaneous use of single- and multi-trait approaches and their application to different layers in forests.Anna MastrogianniMilan ChytrýAthanasios S. KallimanisIoannis TsiripidisElsevierarticleBalkan PeninsulaForest vegetationFunctional diversityFunctional identityFunctional structureGreeceEcologyQH540-549.5ENEcological Indicators, Vol 131, Iss , Pp 108229- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Balkan Peninsula Forest vegetation Functional diversity Functional identity Functional structure Greece Ecology QH540-549.5
spellingShingle	Balkan Peninsula Forest vegetation Functional diversity Functional identity Functional structure Greece Ecology QH540-549.5 Anna Mastrogianni Milan Chytrý Athanasios S. Kallimanis Ioannis Tsiripidis Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
description	We studied the differentiation among plant communities of deciduous broadleaved and mountain coniferous forests in terms of functional diversity and identity at a regional scale (northern and central Greece). We asked if patterns of functional differentiation among communities are consistent between the overstorey and understorey layers and if they can be influenced by deep past environmental conditions. Functional Richness (FRic) and Functional Dispersion (FDis), as well as their standardized effect sizes, were employed to assess the multivariate functional diversity of the community types. In contrast, single-trait Community Weighted Means (CWMs) were used as surrogates of functional identity. The aforementioned indices were calculated for three datasets, namely all the vascular plant taxa found in individual vegetation plots (total community), all phanerophyte (tree and shrub) taxa (overstorey) and all non-phanerophyte vascular plant taxa (understorey). We found that community types and especially four broad forest types (beech, ravine, pine and oak forests) are well differentiated in terms of functional composition (identity), as indicated by Non-Metric Multidimensional Scaling (NMDS). After conducting an NMDS for the three datasets, functional identity based on the total floristic composition was found to be the best discriminator of the studied communities. However, contrasting patterns were found for some specific traits or their categories between overstorey and understorey layers. The patterns of functional diversity of the community types (based on multivariate indices), revealed by calculating the standardized effect sizes of FRic and FDis based on the richness null model, did not differ substantially from random expectations for most of the studied community types when the dataset of all the vascular plant taxa was analyzed. However, the patterns revealed for the overstorey layer differed from those for the understorey layer. For the latter layer, the clustered structure was revealed in many community types based on the ses.FDis metric. Indications of deep past influence on the functional composition were found for certain community types (i.e. ravine forests) based on single-trait metrics, but no indication of such influence was found based on multivariate indices. Our findings highlight the complementarity and the additive explanatory value of the simultaneous use of single- and multi-trait approaches and their application to different layers in forests.
format	article
author	Anna Mastrogianni Milan Chytrý Athanasios S. Kallimanis Ioannis Tsiripidis
author_facet	Anna Mastrogianni Milan Chytrý Athanasios S. Kallimanis Ioannis Tsiripidis
author_sort	Anna Mastrogianni
title	Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
title_short	Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
title_full	Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
title_fullStr	Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
title_full_unstemmed	Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests
title_sort	plant trait filtering is stronger in the herb layer than in the tree layer in greek mountain forests
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/3dbc9486c24d4269adeac040a060c274
work_keys_str_mv	AT annamastrogianni planttraitfilteringisstrongerintheherblayerthaninthetreelayeringreekmountainforests AT milanchytry planttraitfilteringisstrongerintheherblayerthaninthetreelayeringreekmountainforests AT athanasiosskallimanis planttraitfilteringisstrongerintheherblayerthaninthetreelayeringreekmountainforests AT ioannistsiripidis planttraitfilteringisstrongerintheherblayerthaninthetreelayeringreekmountainforests
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Plant trait filtering is stronger in the herb layer than in the tree layer in Greek mountain forests

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