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 a Milan CHYTRÝ. Classification of the Mediterranean lowland to submontane pine forest vegetation. Applied Vegetation Science. Hoboken: Wiley, 2021, roč. 24, č. 1, s. "e12544", 37 s. ISSN 1402-2001. Dostupné z: https://dx.doi.org/10.1111/avsc.12544.
Další formáty:   BibTeX LaTeX RIS
Základní údaje
Originální název Classification of the Mediterranean lowland to submontane pine forest vegetation
Autoři BONARI, Gianmaria (380 Itálie, garant, domácí), Federico FERNANDEZ-GONZALEZ, Suleyman COBAN, Tiago MONTEIRO-HENRIQUES, Erwin BERGMEIER, Yakiv P. DIDUKH, Fotios XYSTRAKIS, Claudia ANGIOLINI, Kryštof CHYTRÝ (203 Česká republika, domácí), Alicia T. R. ACOSTA, Emiliano AGRILLO, Jose C. COSTA, Jiří DANIHELKA (203 Česká republika, domácí), Stephan M. HENNEKENS, Ali KAVGACI, Ilona KNOLLOVÁ (203 Česká republika, domácí), Carlos S. NETO, Coskun SAGLAM, Zeljko SKVORC, Lubomír TICHÝ (203 Česká republika, domácí) a Milan CHYTRÝ (203 Česká republika, domácí).
Vydání Applied Vegetation Science, Hoboken, Wiley, 2021, 1402-2001.
Další údaje
Originální jazyk angličtina
Typ výsledku Článek v odborném periodiku
Obor 10611 Plant sciences, botany
Stát vydavatele Spojené státy
Utajení není předmětem státního či obchodního tajemství
WWW URL
Impakt faktor Impact factor: 3.431
Kód RIV RIV/00216224:14310/21:00118895
Organizační jednotka Přírodovědecká fakulta
Doi http://dx.doi.org/10.1111/avsc.12544
UT WoS 000611794500001
Klíčová slova anglicky biogeography; classification; expert system; forest; Mediterranean Basin; phytosociology; pine; Pinetea halepensis; Pinus; Quercetea ilicis; vegetation classification; vegetation-plot database
Štítky rivok
Příznaky Mezinárodní význam, Recenzováno
Změnil Změnila: Mgr. Marie Šípková, DiS., učo 437722. Změněno: 28. 4. 2021 10:39.
Anotace
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.
Návaznosti
GX19-28491X, projekt VaVNázev: Centrum pro evropské vegetační syntézy (CEVS) (Akronym: CEVS)
Investor: Grantová agentura ČR, Centrum pro evropské vegetační syntézy (CEVS)
VytisknoutZobrazeno: 19. 9. 2024 15:38