Fine‐grain beta diversity of Palaearctic grassland vegetation
Autor(a) principal: | |
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Data de Publicação: | 2021 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | http://hdl.handle.net/10400.3/6206 |
Resumo: | QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress–productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). RESULTS: Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R² = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. CONCLUSIONS: We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be explained via the effects of these drivers on the mean occupancy of species, which is mathematically linked to beta diversity. |
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Fine‐grain beta diversity of Palaearctic grassland vegetationDisturbanceElevationFine-grain Beta DiversityHeterogeneityLand UseMacroecologyMean OccupancyProductivityScale DependenceSpecies–area Relationship (SAR)z-valuePalaearctic grasslandQUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress–productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). RESULTS: Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R² = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. CONCLUSIONS: We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be explained via the effects of these drivers on the mean occupancy of species, which is mathematically linked to beta diversity.The Bavarian Research Alliance (via the BayIntAn scheme) and the Bayreuth Center of Ecology and Environmental Research (BayCEER) funded the initial GrassPlot workshop during which the database was established and the current paper was initiated (grants to JDe). WU acknowledges support from the Polish National Science Centre (grant 2017/27/B/NZ8/00316). IB, JAC and IG-M were funded by the Basque Government (IT936-16). GF carried out the research in the frame of the MIUR initiative "Department of excellence" (Law 232/2016). SBa was supported by the GINOP-2.3.2-15-2016-00019 project. CM was supported by the Czech Science Foundation (grant no. 19-28491X) and the Basque Government (IT936-16). ID was supported by the Polish National Science Centre (grant DEC-2013/09/N/NZ8/03234) and by a Swiss Government Excellence Scholarship for Postdocs (ESKAS No. 2019.0491). MJ was supported by the Slovak Academy of Sciences (grant VEGA 02/0095/19). AN was supported by a " Master Plan Project" in the University of Mazandaran, Iran. DS was supported by the Czech Science Foundation (grant no. 20-29554X). AK, IV and DV were supported by the National Research Foundation of Ukraine (project no. 2020.01/0140). JDo was supported by the Czech Science Foundation (GA17-19376S) and LTAUSA18007WileyRepositório da Universidade dos AçoresDembicz, IwonaDengler, JürgenSteinbauer, Manuel J.Matthews, Thomas J.Bartha, SándorBurrascano, SabinaChiarucci, AlessandroFilibeck, GoffredoGillet, FrançoisJanišová, MonikaPalpurina, SalzaStorch, DavidUlrich, WernerAćić, SvetlanaBoch, SteffenCampos, Juan AntonioCancellieri, LauraCarboni, MartaCiaschetti, GiampieroConradi, TimoDe Frenne, PieterDolezal, JiriDolnik, ChristianEssl, FranzFantinato, EdyGarcía‐Mijangos, ItziarGiusso del Galdo, Gian PietroGrytnes, John‐ArvidGuarino, RiccardoGüler, BehlülKapfer, JuttaKlichowska, EwelinaKozub, ŁukaszKuzemko, AnnaLöbel, SwantjeManthey, MichaelMarcenò, CorradoMimet, AnneNaqinezhad, AlirezaNoroozi, JalilNowak, ArkadiuszPauli, HaraldPeet, Robert K.Pellissier, VincentPielech, RemigiuszTerzi, MassimoUğurlu, EminValkó, OrsolyaVasheniak, IuliiaVassilev, KirilVynokurov, DenysWhite, Hannah J.Willner, WolfgangWinkler, ManuelaWolfrum, SebastianZhang, JinghuiBiurrun, Idoia2022-02-16T16:01:40Z2021-052021-05-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.3/6206engDembicz, I., Dengler, J., Steinbauer, M. J., Matthews, T. J., Bartha, S., Burrascano, S., ... & Biurrun, I. (2021). Fine‐grain beta diversity of Palaearctic grassland vegetation. “Journal of Vegetation Science”, 32(3), e13045. DOI: 10.1111/jvs.130451100-923310.1111/jvs.130451654-1103000666878600008info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2022-12-20T14:34:38Zoai:repositorio.uac.pt:10400.3/6206Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T16:28:21.801505Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
title |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
spellingShingle |
Fine‐grain beta diversity of Palaearctic grassland vegetation Dembicz, Iwona Disturbance Elevation Fine-grain Beta Diversity Heterogeneity Land Use Macroecology Mean Occupancy Productivity Scale Dependence Species–area Relationship (SAR) z-value Palaearctic grassland |
title_short |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
title_full |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
title_fullStr |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
title_full_unstemmed |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
title_sort |
Fine‐grain beta diversity of Palaearctic grassland vegetation |
author |
Dembicz, Iwona |
author_facet |
Dembicz, Iwona Dengler, Jürgen Steinbauer, Manuel J. Matthews, Thomas J. Bartha, Sándor Burrascano, Sabina Chiarucci, Alessandro Filibeck, Goffredo Gillet, François Janišová, Monika Palpurina, Salza Storch, David Ulrich, Werner Aćić, Svetlana Boch, Steffen Campos, Juan Antonio Cancellieri, Laura Carboni, Marta Ciaschetti, Giampiero Conradi, Timo De Frenne, Pieter Dolezal, Jiri Dolnik, Christian Essl, Franz Fantinato, Edy García‐Mijangos, Itziar Giusso del Galdo, Gian Pietro Grytnes, John‐Arvid Guarino, Riccardo Güler, Behlül Kapfer, Jutta Klichowska, Ewelina Kozub, Łukasz Kuzemko, Anna Löbel, Swantje Manthey, Michael Marcenò, Corrado Mimet, Anne Naqinezhad, Alireza Noroozi, Jalil Nowak, Arkadiusz Pauli, Harald Peet, Robert K. Pellissier, Vincent Pielech, Remigiusz Terzi, Massimo Uğurlu, Emin Valkó, Orsolya Vasheniak, Iuliia Vassilev, Kiril Vynokurov, Denys White, Hannah J. Willner, Wolfgang Winkler, Manuela Wolfrum, Sebastian Zhang, Jinghui Biurrun, Idoia |
author_role |
author |
author2 |
Dengler, Jürgen Steinbauer, Manuel J. Matthews, Thomas J. Bartha, Sándor Burrascano, Sabina Chiarucci, Alessandro Filibeck, Goffredo Gillet, François Janišová, Monika Palpurina, Salza Storch, David Ulrich, Werner Aćić, Svetlana Boch, Steffen Campos, Juan Antonio Cancellieri, Laura Carboni, Marta Ciaschetti, Giampiero Conradi, Timo De Frenne, Pieter Dolezal, Jiri Dolnik, Christian Essl, Franz Fantinato, Edy García‐Mijangos, Itziar Giusso del Galdo, Gian Pietro Grytnes, John‐Arvid Guarino, Riccardo Güler, Behlül Kapfer, Jutta Klichowska, Ewelina Kozub, Łukasz Kuzemko, Anna Löbel, Swantje Manthey, Michael Marcenò, Corrado Mimet, Anne Naqinezhad, Alireza Noroozi, Jalil Nowak, Arkadiusz Pauli, Harald Peet, Robert K. Pellissier, Vincent Pielech, Remigiusz Terzi, Massimo Uğurlu, Emin Valkó, Orsolya Vasheniak, Iuliia Vassilev, Kiril Vynokurov, Denys White, Hannah J. Willner, Wolfgang Winkler, Manuela Wolfrum, Sebastian Zhang, Jinghui Biurrun, Idoia |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Repositório da Universidade dos Açores |
dc.contributor.author.fl_str_mv |
Dembicz, Iwona Dengler, Jürgen Steinbauer, Manuel J. Matthews, Thomas J. Bartha, Sándor Burrascano, Sabina Chiarucci, Alessandro Filibeck, Goffredo Gillet, François Janišová, Monika Palpurina, Salza Storch, David Ulrich, Werner Aćić, Svetlana Boch, Steffen Campos, Juan Antonio Cancellieri, Laura Carboni, Marta Ciaschetti, Giampiero Conradi, Timo De Frenne, Pieter Dolezal, Jiri Dolnik, Christian Essl, Franz Fantinato, Edy García‐Mijangos, Itziar Giusso del Galdo, Gian Pietro Grytnes, John‐Arvid Guarino, Riccardo Güler, Behlül Kapfer, Jutta Klichowska, Ewelina Kozub, Łukasz Kuzemko, Anna Löbel, Swantje Manthey, Michael Marcenò, Corrado Mimet, Anne Naqinezhad, Alireza Noroozi, Jalil Nowak, Arkadiusz Pauli, Harald Peet, Robert K. Pellissier, Vincent Pielech, Remigiusz Terzi, Massimo Uğurlu, Emin Valkó, Orsolya Vasheniak, Iuliia Vassilev, Kiril Vynokurov, Denys White, Hannah J. Willner, Wolfgang Winkler, Manuela Wolfrum, Sebastian Zhang, Jinghui Biurrun, Idoia |
dc.subject.por.fl_str_mv |
Disturbance Elevation Fine-grain Beta Diversity Heterogeneity Land Use Macroecology Mean Occupancy Productivity Scale Dependence Species–area Relationship (SAR) z-value Palaearctic grassland |
topic |
Disturbance Elevation Fine-grain Beta Diversity Heterogeneity Land Use Macroecology Mean Occupancy Productivity Scale Dependence Species–area Relationship (SAR) z-value Palaearctic grassland |
description |
QUESTIONS: Which environmental factors influence fine-grain beta diversity of vegetation and do they vary among taxonomic groups? LOCATION: Palaearctic biogeographic realm. METHODS: We extracted 4,654 nested-plot series with at least four different grain sizes between 0.0001 m² and 1,024 m² from the GrassPlot database, covering a wide range of different grassland and other open habitat types. We derived extensive environmental and structural information for these series. For each series and four taxonomic groups (vascular plants, bryophytes, lichens, all), we calculated the slope parameter (z-value) of the power law species–area relationship (SAR), as a beta diversity measure. We tested whether z-values differed among taxonomic groups and with respect to biogeographic gradients (latitude, elevation, macroclimate), ecological (site) characteristics (several stress–productivity, disturbance and heterogeneity measures, including land use) and alpha diversity (c-value of the power law SAR). RESULTS: Mean z-values were highest for lichens, intermediate for vascular plants and lowest for bryophytes. Bivariate regressions of z-values against environmental variables had rather low predictive power (mean R² = 0.07 for vascular plants, less for other taxa). For vascular plants, the strongest predictors of z-values were herb layer cover (negative), elevation (positive), rock and stone cover (positive) and the c-value (U-shaped). All tested metrics related to land use (fertilization, livestock grazing, mowing, burning, decrease in naturalness) led to a decrease in z-values. Other predictors had little or no impact on z-values. The patterns for bryophytes, lichens and all taxa combined were similar but weaker than those for vascular plants. CONCLUSIONS: We conclude that productivity has negative and heterogeneity positive effects on z-values, while the effect of disturbance varies depending on type and intensity. These patterns and the differences among taxonomic groups can be explained via the effects of these drivers on the mean occupancy of species, which is mathematically linked to beta diversity. |
publishDate |
2021 |
dc.date.none.fl_str_mv |
2021-05 2021-05-01T00:00:00Z 2022-02-16T16:01:40Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://hdl.handle.net/10400.3/6206 |
url |
http://hdl.handle.net/10400.3/6206 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Dembicz, I., Dengler, J., Steinbauer, M. J., Matthews, T. J., Bartha, S., Burrascano, S., ... & Biurrun, I. (2021). Fine‐grain beta diversity of Palaearctic grassland vegetation. “Journal of Vegetation Science”, 32(3), e13045. DOI: 10.1111/jvs.13045 1100-9233 10.1111/jvs.13045 1654-1103 000666878600008 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Wiley |
publisher.none.fl_str_mv |
Wiley |
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reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
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RCAAP |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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