Classification of the Mediterranean lowland to submontane pine forest vegetation
Aim Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been deve...
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| Veröffentlicht in: | Applied vegetation science Jg. 24; H. 1 |
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| Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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Malden
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01.01.2021
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| ISSN: | 1402-2001, 1654-109X |
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| Abstract | Aim
Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been developed. Our aim is to provide the first broad‐scale classification of these pine forests based on a large data set of vegetation plots.
Location
Southern Europe, North Africa, Levant, Anatolia, Crimea and the Caucasus.
Methods
We prepared a data set of European and Mediterranean pine forest vegetation plots. We selected 7,277 plots dominated by the cold‐sensitive Mediterranean pine species Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea. We classified these plots using TWINSPAN, interpreted the ecologically and biogeographically homogeneous TWINSPAN clusters as alliances, and developed an expert system for automatic vegetation classification at the class, order and alliance levels.
Results
We described Pinetea halepensis as a new class for the Mediterranean lowland to submontane pine forests, included in the existing Pinetalia halepensis order, and distinguished 12 alliances of native thermophilous pine forests, including four newly described and three informal groups merging supposedly native stands and old‐established plantations. The main gradients in species composition reflect elevational vegetation belts and the west–east, and partly north–south, biogeographical differences. Both temperature and precipitation seasonality co‐vary with these gradients.
Conclusions
We provide the first formal classification at the order and alliance levels for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes traditional syntaxa, which have been critically revised, and a new class and four new alliances. We also outline a methodological workflow that might be useful for other vegetation classification syntheses. The expert system, which is jointly based on pine dominance and species composition, is a tool for applying this classification in research and nature conservation survey, monitoring and management.
We developed the first formal classification for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes both traditional and new syntaxa. We also outline a methodological workflow that might be useful for other large‐scale vegetation classifications. We provide an expert system for applying this classification in research and nature conservation surveys, monitoring and management. |
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| AbstractList | AIM: Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been developed. Our aim is to provide the first broad‐scale classification of these pine forests based on a large data set of vegetation plots. LOCATION: Southern Europe, North Africa, Levant, Anatolia, Crimea and the Caucasus. METHODS: We prepared a data set of European and Mediterranean pine forest vegetation plots. We selected 7,277 plots dominated by the cold‐sensitive Mediterranean pine species Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea. We classified these plots using TWINSPAN, interpreted the ecologically and biogeographically homogeneous TWINSPAN clusters as alliances, and developed an expert system for automatic vegetation classification at the class, order and alliance levels. RESULTS: We described Pinetea halepensis as a new class for the Mediterranean lowland to submontane pine forests, included in the existing Pinetalia halepensis order, and distinguished 12 alliances of native thermophilous pine forests, including four newly described and three informal groups merging supposedly native stands and old‐established plantations. The main gradients in species composition reflect elevational vegetation belts and the west–east, and partly north–south, biogeographical differences. Both temperature and precipitation seasonality co‐vary with these gradients. CONCLUSIONS: We provide the first formal classification at the order and alliance levels for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes traditional syntaxa, which have been critically revised, and a new class and four new alliances. We also outline a methodological workflow that might be useful for other vegetation classification syntheses. The expert system, which is jointly based on pine dominance and species composition, is a tool for applying this classification in research and nature conservation survey, monitoring and management. Aim Vegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been developed. Our aim is to provide the first broad‐scale classification of these pine forests based on a large data set of vegetation plots. Location Southern Europe, North Africa, Levant, Anatolia, Crimea and the Caucasus. Methods We prepared a data set of European and Mediterranean pine forest vegetation plots. We selected 7,277 plots dominated by the cold‐sensitive Mediterranean pine species Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea. We classified these plots using TWINSPAN, interpreted the ecologically and biogeographically homogeneous TWINSPAN clusters as alliances, and developed an expert system for automatic vegetation classification at the class, order and alliance levels. Results We described Pinetea halepensis as a new class for the Mediterranean lowland to submontane pine forests, included in the existing Pinetalia halepensis order, and distinguished 12 alliances of native thermophilous pine forests, including four newly described and three informal groups merging supposedly native stands and old‐established plantations. The main gradients in species composition reflect elevational vegetation belts and the west–east, and partly north–south, biogeographical differences. Both temperature and precipitation seasonality co‐vary with these gradients. Conclusions We provide the first formal classification at the order and alliance levels for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes traditional syntaxa, which have been critically revised, and a new class and four new alliances. We also outline a methodological workflow that might be useful for other vegetation classification syntheses. The expert system, which is jointly based on pine dominance and species composition, is a tool for applying this classification in research and nature conservation survey, monitoring and management. We developed the first formal classification for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes both traditional and new syntaxa. We also outline a methodological workflow that might be useful for other large‐scale vegetation classifications. We provide an expert system for applying this classification in research and nature conservation surveys, monitoring and management. AimVegetation types of Mediterranean thermophilous pine forests dominated by Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea were studied in various areas. However, a comprehensive formal vegetation classification of these forests based on a detailed data analysis has never been developed. Our aim is to provide the first broad‐scale classification of these pine forests based on a large data set of vegetation plots.LocationSouthern Europe, North Africa, Levant, Anatolia, Crimea and the Caucasus.MethodsWe prepared a data set of European and Mediterranean pine forest vegetation plots. We selected 7,277 plots dominated by the cold‐sensitive Mediterranean pine species Pinus brutia, Pinus halepensis, Pinus pinaster and Pinus pinea. We classified these plots using TWINSPAN, interpreted the ecologically and biogeographically homogeneous TWINSPAN clusters as alliances, and developed an expert system for automatic vegetation classification at the class, order and alliance levels.ResultsWe described Pinetea halepensis as a new class for the Mediterranean lowland to submontane pine forests, included in the existing Pinetalia halepensis order, and distinguished 12 alliances of native thermophilous pine forests, including four newly described and three informal groups merging supposedly native stands and old‐established plantations. The main gradients in species composition reflect elevational vegetation belts and the west–east, and partly north–south, biogeographical differences. Both temperature and precipitation seasonality co‐vary with these gradients.ConclusionsWe provide the first formal classification at the order and alliance levels for all the Mediterranean thermophilous pine forests based on vegetation‐plot data. This classification includes traditional syntaxa, which have been critically revised, and a new class and four new alliances. We also outline a methodological workflow that might be useful for other vegetation classification syntheses. The expert system, which is jointly based on pine dominance and species composition, is a tool for applying this classification in research and nature conservation survey, monitoring and management. |
| Author | Kavgacı, Ali Škvorc, Željko Neto, Carlos S. Didukh, Yakiv P. Fernández‐González, Federico Çoban, Süleyman Danihelka, Jiří Acosta, Alicia T.R. Chytrý, Milan Bergmeier, Erwin Hennekens, Stephan M. Chytrý, Kryštof Tichý, Lubomír Costa, José C. Xystrakis, Fotios Sağlam, Coşkun Monteiro‐Henriques, Tiago Agrillo, Emiliano Ewald, Jörg Bonari, Gianmaria Angiolini, Claudia Knollová, Ilona |
| Author_xml | – sequence: 1 givenname: Gianmaria orcidid: 0000-0002-5574-6067 surname: Bonari fullname: Bonari, Gianmaria email: gianmaria.bonari@unibz.it organization: Free University of Bozen‐Bolzano – sequence: 2 givenname: Federico orcidid: 0000-0003-1234-4065 surname: Fernández‐González fullname: Fernández‐González, Federico organization: University of Castilla‐La Mancha – sequence: 3 givenname: Süleyman orcidid: 0000-0003-1570-9795 surname: Çoban fullname: Çoban, Süleyman organization: Istanbul University‐Cerrahpaşa – sequence: 4 givenname: Tiago orcidid: 0000-0002-4206-0699 surname: Monteiro‐Henriques fullname: Monteiro‐Henriques, Tiago organization: University of Helsinki – sequence: 5 givenname: Erwin orcidid: 0000-0002-6118-4611 surname: Bergmeier fullname: Bergmeier, Erwin organization: University of Göttingen – sequence: 6 givenname: Yakiv P. orcidid: 0000-0001-7619-0283 surname: Didukh fullname: Didukh, Yakiv P. organization: M.G. Kholodny Institute of Botany – sequence: 7 givenname: Fotios orcidid: 0000-0002-3318-2686 surname: Xystrakis fullname: Xystrakis, Fotios organization: Hellenic Agricultural Organization “Demeter” – sequence: 8 givenname: Claudia orcidid: 0000-0002-9054-9480 surname: Angiolini fullname: Angiolini, Claudia organization: University of Siena – sequence: 9 givenname: Kryštof orcidid: 0000-0003-4113-6564 surname: Chytrý fullname: Chytrý, Kryštof organization: Masaryk University – sequence: 10 givenname: Alicia T.R. orcidid: 0000-0001-6572-3187 surname: Acosta fullname: Acosta, Alicia T.R. organization: Roma Tre University – sequence: 11 givenname: Emiliano orcidid: 0000-0003-2346-8346 surname: Agrillo fullname: Agrillo, Emiliano organization: Institute for Environmental Protection and Research – ISPRA – sequence: 12 givenname: José C. orcidid: 0000-0002-7619-840X surname: Costa fullname: Costa, José C. organization: University of Lisbon – sequence: 13 givenname: Jiří orcidid: 0000-0002-2640-7867 surname: Danihelka fullname: Danihelka, Jiří organization: Masaryk University – sequence: 14 givenname: Stephan M. orcidid: 0000-0003-1221-0323 surname: Hennekens fullname: Hennekens, Stephan M. organization: Wageningen Environmental Research – sequence: 15 givenname: Ali orcidid: 0000-0002-4549-3668 surname: Kavgacı fullname: Kavgacı, Ali organization: Karabuk University – sequence: 16 givenname: Ilona orcidid: 0000-0003-4074-789X surname: Knollová fullname: Knollová, Ilona organization: Masaryk University – sequence: 17 givenname: Carlos S. orcidid: 0000-0003-0912-0255 surname: Neto fullname: Neto, Carlos S. organization: University of Lisbon – sequence: 18 givenname: Coşkun orcidid: 0000-0003-2980-2501 surname: Sağlam fullname: Sağlam, Coşkun organization: Selçuk University – sequence: 19 givenname: Željko orcidid: 0000-0002-2848-1454 surname: Škvorc fullname: Škvorc, Željko organization: University of Zagreb – sequence: 20 givenname: Lubomír orcidid: 0000-0001-8400-7741 surname: Tichý fullname: Tichý, Lubomír organization: Masaryk University – sequence: 21 givenname: Milan orcidid: 0000-0002-8122-3075 surname: Chytrý fullname: Chytrý, Milan organization: Masaryk University – sequence: 22 givenname: Jörg surname: Ewald fullname: Ewald, Jörg |
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| Copyright | 2020 International Association for Vegetation Science Copyright © 2021 International Association for Vegetation Science |
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| Notes | Funding information GB was funded by the post‐doc programme of the Department of Botany and Zoology, Masaryk University and by the Free University of Bozen‐Bolzano through the CONplant project (TN201H), JD, IK, LT and MC by the Czech Science Foundation (19‐28491X), FFG by the Plan Propio of the UCLM (2020‐GRIN‐29214), TMH by the European Social Fund (POCH), by National Funds (MCTES) through a Fundação para a Ciência e a Tecnologia postdoctoral fellowship (SFRH/BPD/115057/2016) and project no. UIDB/04033/2020. ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
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| Title | Classification of the Mediterranean lowland to submontane pine forest vegetation |
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