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

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064432%3A_____%2F24%3A10002270" target="_blank" >RIV/00064432:_____/24:10002270 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/67985912:_____/24:00599408 RIV/67985939:_____/24:00599408 RIV/00216224:14310/24:00138544 RIV/00216208:11310/24:10492708 RIV/60076658:12310/24:43908874

  • Výsledek na webu

    <a href="https://online.obd.cz/id_publ/2272" target="_blank" >https://online.obd.cz/id_publ/2272</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s00334-024-00996-8" target="_blank" >10.1007/s00334-024-00996-8</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

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

  • Popis výsledku v původním jazyce

    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 Lužnice, 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.

  • Název v anglickém jazyce

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

  • Popis výsledku anglicky

    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 Lužnice, 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.

Klasifikace

  • Druh

    J<sub>ost</sub> - Ostatní články v recenzovaných periodicích

  • CEP obor

  • OECD FORD obor

    10700 - Other natural sciences

Návaznosti výsledku

  • Projekt

    <a href="/cs/project/GA23-05132S" target="_blank" >GA23-05132S: Nové kalibrační a indikační systémy pro rekonstrukci holocenního klimatu zohledňující lokální vývoj</a><br>

  • Návaznosti

    V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Ostatní

  • Rok uplatnění

    2024

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Vegetation History and Archaeobotany

  • ISSN

    0939-6314

  • e-ISSN

    1617-6278

  • Svazek periodika

    33

  • Číslo periodika v rámci svazku

    6

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    15

  • Strana od-do

    725-739

  • Kód UT WoS článku

  • EID výsledku v databázi Scopus