A new tool for formalised vegetation reconstruction from
(sub)fossil records - the FEVER Index

J 2024

A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index

POKORNA, Adela; Petra HÁJKOVÁ; Alex BERNARDOVA; Barbora JONASOVA; Andrea KUCEROVA et. al.

Základní údaje

Originální název

A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index

Autoři

POKORNA, Adela (garant); Petra HÁJKOVÁ (203 Česká republika, domácí); Alex BERNARDOVA; Barbora JONASOVA; Andrea KUCEROVA; Jana JIROUSKOVA; Katerina SUMBEROVA; Anna SOLCOVA; Petr STAREC a Lubomír TICHÝ (203 Česká republika, domácí)

Vydání

Vegetation History and Archaeobotany, NEW YORK, SPRINGER, 2024, 0939-6314

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10611 Plant sciences, botany

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 1.900

Kód RIV

RIV/00216224:14310/24:00138544

Organizační jednotka

Přírodovědecká fakulta

DOI

https://doi.org/10.1007/s00334-024-00996-8

UT WoS

001220437200001

EID Scopus

2-s2.0-85192795257

Klíčová slova anglicky

Expert system; Fidelity; Past vegetation classification; Alliance; Phytosociology; Plant remains; Probability assignment; Expert system; Fidelity; Past vegetation classification; Alliance; Phytosociology; Plant remains; Probability assignment

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 21. 3. 2025 15:37, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Plant macro-remains provide valuable environmental information of the past, but reconstruction of past vegetation is challenging, because a macrofossil sample may include material from various habitats and also because its species composition is biased and incomplete. Therefore, we aimed to propose, test and evaluate an objective tool for data reconstruction in archaeobotany and palaeoecology. Our Fossil assEmblage VEgetation Reconstruction Index (FEVER Index) indicates relative probabilities that particular taxa in a fossil assemblage come from respective vegetation types. In contrast to the Frequency Positive Fidelity Index (FPFI) used for modern vegetation classification, the FEVER Index emphasises the importance of diagnostic species. The comparison between the FEVER and FPFI indices, when they are applied to a large dataset of modern vegetation plots, has shown that the FEVER Index has greater classification accuracy. In the case where taxonomic data were reduced to genera only, the efficiency of the FEVER Index was even higher than FPFI. This shows that the FEVER Index is more accurate when applied to incomplete fossil data, but only when there are some diagnostic species still present. We also examined the similarity between modern vegetation and corresponding seed bank data. Wetland habitats, such as calcareous fens and periodically exposed riverbeds showed high similarity between the vegetation and the seed banks because of the local origin of the seed bank material. Lower similarity was, however, detected in the case of small pools in the upper reaches of the river Lu & zcaron;nice, the seed bank of which included not only aquatic vegetation but also plants from terrestrial habitats nearby, transported by flowing water. Finally, we provide two examples of applying the FEVER Index to fossil data.

Návaznosti

GA23-05132S, projekt VaV

Název: Nové kalibrační a indikační systémy pro rekonstrukci holocenního klimatu zohledňující lokální vývoj

Investor: Grantová agentura ČR, Nové kalibrační a indikační systémy pro rekonstrukci holocenního klimatu zohledňující lokální vývoj

Citovat

POKORNA, Adela; Petra HÁJKOVÁ; Alex BERNARDOVA; Barbora JONASOVA; Andrea KUCEROVA; Jana JIROUSKOVA; Katerina SUMBEROVA; Anna SOLCOVA; Petr STAREC a Lubomír TICHÝ. A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index. Vegetation History and Archaeobotany. NEW YORK: SPRINGER, 2024, roč. 33, č. 6, s. 725-739. ISSN 0939-6314. Dostupné z: https://doi.org/10.1007/s00334-024-00996-8.

@article{2468918,
   author = {Pokorna, Adela and Hájková, Petra and Bernardova, Alex and Jonasova, Barbora and Kucerova, Andrea and Jirouskova, Jana and Sumberova, Katerina and Solcova, Anna and Starec, Petr and Tichý, Lubomír},
   article_location = {NEW YORK},
   article_number = {6},
   doi = {https://doi.org/10.1007/s00334-024-00996-8},
   keywords = {Expert system; Fidelity; Past vegetation classification; Alliance; Phytosociology; Plant remains; Probability assignment; Expert system; Fidelity; Past vegetation classification; Alliance; Phytosociology; Plant remains; Probability assignment},
   language = {eng},
   issn = {0939-6314},
   journal = {Vegetation History and Archaeobotany},
   title = {A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index},
   url = {https://doi.org/10.1007/s00334-024-00996-8},
   volume = {33},
   year = {2024}
}

TY  - JOUR
ID  - 2468918
AU  - Pokorna, Adela - Hájková, Petra - Bernardova, Alex - Jonasova, Barbora - Kucerova, Andrea - Jirouskova, Jana - Sumberova, Katerina - Solcova, Anna - Starec, Petr - Tichý, Lubomír
PY  - 2024
TI  - A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index
JF  - Vegetation History and Archaeobotany
VL  - 33
IS  - 6
SP  - 725-739
EP  - 725-739
PB  - SPRINGER
SN  - 09396314
KW  - Expert system
KW  - Fidelity
KW  - Past vegetation classification
KW  - Alliance
KW  - Phytosociology
KW  - Plant remains
KW  - Probability assignment
KW  - Expert system
KW  - Fidelity
KW  - Past vegetation classification
KW  - Alliance
KW  - Phytosociology
KW  - Plant remains
KW  - Probability assignment
UR  - https://doi.org/10.1007/s00334-024-00996-8
N2  - Plant macro-remains provide valuable environmental information of the past, but reconstruction of past vegetation is challenging, because a macrofossil sample may include material from various habitats and also because its species composition is biased and incomplete. Therefore, we aimed to propose, test and evaluate an objective tool for data reconstruction in archaeobotany and palaeoecology. Our Fossil assEmblage VEgetation Reconstruction Index (FEVER Index) indicates relative probabilities that particular taxa in a fossil assemblage come from respective vegetation types. In contrast to the Frequency Positive Fidelity Index (FPFI) used for modern vegetation classification, the FEVER Index emphasises the importance of diagnostic species. The comparison between the FEVER and FPFI indices, when they are applied to a large dataset of modern vegetation plots, has shown that the FEVER Index has greater classification accuracy. In the case where taxonomic data were reduced to genera only, the efficiency of the FEVER Index was even higher than FPFI. This shows that the FEVER Index is more accurate when applied to incomplete fossil data, but only when there are some diagnostic species still present. We also examined the similarity between modern vegetation and corresponding seed bank data. Wetland habitats, such as calcareous fens and periodically exposed riverbeds showed high similarity between the vegetation and the seed banks because of the local origin of the seed bank material. Lower similarity was, however, detected in the case of small pools in the upper reaches of the river Lu & zcaron;nice, the seed bank of which included not only aquatic vegetation but also plants from terrestrial habitats nearby, transported by flowing water. Finally, we provide two examples of applying the FEVER Index to fossil data.
ER  -

POKORNA, Adela; Petra HÁJKOVÁ; Alex BERNARDOVA; Barbora JONASOVA; Andrea KUCEROVA; Jana JIROUSKOVA; Katerina SUMBEROVA; Anna SOLCOVA; Petr STAREC a Lubomír TICHÝ. A new tool for formalised vegetation reconstruction from (sub)fossil records - the FEVER Index. \textit{Vegetation History and Archaeobotany}. NEW YORK: SPRINGER, 2024, roč.~33, č.~6, s.~725-739. ISSN~0939-6314. Dostupné z: https://doi.org/10.1007/s00334-024-00996-8.

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