BONARI, Gianmaria, Federico FERNANDEZ-GONZALEZ, Suleyman COBAN, Tiago MONTEIRO-HENRIQUES, Erwin BERGMEIER, Yakiv P. DIDUKH, Fotios XYSTRAKIS, Claudia ANGIOLINI, Kryštof CHYTRÝ, Alicia T. R. ACOSTA, Emiliano AGRILLO, Jose C. COSTA, Jiří DANIHELKA, Stephan M. HENNEKENS, Ali KAVGACI, Ilona KNOLLOVÁ, Carlos S. NETO, Coskun SAGLAM, Zeljko SKVORC, Lubomír TICHÝ and Milan CHYTRÝ. Classification of the Mediterranean lowland to submontane pine forest vegetation. Applied Vegetation Science. Hoboken: Wiley, 2021, vol. 24, No 1, p. "e12544", 37 pp. ISSN 1402-2001. Available from: https://dx.doi.org/10.1111/avsc.12544.
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Basic information
Original name Classification of the Mediterranean lowland to submontane pine forest vegetation
Authors BONARI, Gianmaria (380 Italy, guarantor, belonging to the institution), Federico FERNANDEZ-GONZALEZ, Suleyman COBAN, Tiago MONTEIRO-HENRIQUES, Erwin BERGMEIER, Yakiv P. DIDUKH, Fotios XYSTRAKIS, Claudia ANGIOLINI, Kryštof CHYTRÝ (203 Czech Republic, belonging to the institution), Alicia T. R. ACOSTA, Emiliano AGRILLO, Jose C. COSTA, Jiří DANIHELKA (203 Czech Republic, belonging to the institution), Stephan M. HENNEKENS, Ali KAVGACI, Ilona KNOLLOVÁ (203 Czech Republic, belonging to the institution), Carlos S. NETO, Coskun SAGLAM, Zeljko SKVORC, Lubomír TICHÝ (203 Czech Republic, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, belonging to the institution).
Edition Applied Vegetation Science, Hoboken, Wiley, 2021, 1402-2001.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 10611 Plant sciences, botany
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
WWW URL
Impact factor Impact factor: 3.431
RIV identification code RIV/00216224:14310/21:00118895
Organization unit Faculty of Science
Doi http://dx.doi.org/10.1111/avsc.12544
UT WoS 000611794500001
Keywords in English biogeography; classification; expert system; forest; Mediterranean Basin; phytosociology; pine; Pinetea halepensis; Pinus; Quercetea ilicis; vegetation classification; vegetation-plot database
Tags rivok
Tags International impact, Reviewed
Changed by Changed by: Mgr. Marie Šípková, DiS., učo 437722. Changed: 28/4/2021 10:39.
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.
Links
GX19-28491X, research and development projectName: Centrum pro evropské vegetační syntézy (CEVS) (Acronym: CEVS)
Investor: Czech Science Foundation
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