J 2023

An integrated leaf trait analysis of two Paleogene leaf floras

MUELLER, Christian, Agathe TOUMOULIN, Helen BOETTCHER, Anita ROTH-NEBELSICK, Torsten WAPPLER et. al.

Základní údaje

Originální název

An integrated leaf trait analysis of two Paleogene leaf floras

Autoři

MUELLER, Christian, Agathe TOUMOULIN (250 Francie, domácí), Helen BOETTCHER, Anita ROTH-NEBELSICK, Torsten WAPPLER a Lutz KUNZMANN (garant)

Vydání

PeerJ, LONDON, PEERJ INC, 2023, 2167-8359

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10611 Plant sciences, botany

Stát vydavatele

Velká Británie a Severní Irsko

Utajení

není předmětem státního či obchodního tajemství

Odkazy

URL

Impakt faktor

Impact factor: 2.700 v roce 2022

Kód RIV

RIV/00216224:14310/23:00132130

Organizační jednotka

Přírodovědecká fakulta

DOI

http://dx.doi.org/10.7717/peerj.15140

UT WoS

000996350600001

Klíčová slova anglicky

Insect herbivory; Leaf traits; Paleogene; Fossil leaves; Oligocene; Plant-insect interaction; Integrated Leaf Trait Analysis; Multivariate analysis; Leaf mass per area; Leaf properties

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 3. 11. 2023 14:10, Mgr. Lucie Jarošová, DiS.

Anotace

V originále

Objectives: This study presents the Integrated Leaf Trait Analysis (ILTA), a workflow for the combined application of methodologies in leaf trait and insect herbivory analyses on fossil dicot leaf assemblages. The objectives were (1) to record the leaf morphological variability, (2) to describe the herbivory pattern on fossil leaves, (3) to explore relations between leaf morphological trait combination types (TCTs), quantitative leaf traits, and other plant characteristics (e.g., phenology), and (4) to explore relations of leaf traits and insect herbivory.Material and Methods: The leaves of the early Oligocene floras Seifhennersdorf (Saxony, Germany) and Suletice-Berand (usti nad Labem Region, Czech Republic) were analyzed. The TCT approach was used to record the leaf morphological patterns. Metrics based on damage types on leaves were used to describe the kind and extent of insect herbivory. The leaf assemblages were characterized quantitatively (e.g., leaf area and leaf mass per area (LMA)) based on subsamples of 400 leaves per site. Multivariate analyses were performed to explore trait variations.Results: In Seifhennersdorf, toothed leaves of TCT F from deciduous fossil-species are most frequent. The flora of Suletice-Berand is dominated by evergreen fossil-species, which is reflected by the occurrence of toothed and untoothed leaves with closed secondary venation types (TCTs A or E). Significant differences are observed for mean leaf area and LMA, with larger leaves tending to lower LMA in Seifhennersdorf and smaller leaves tending to higher LMA in Suletice-Berand. The frequency and richness of damage types are significantly higher in Suletice-Berand than in Seifhennersdorf. In Seifhennersdorf, the evidence of damage types is highest on deciduous fossil-species, whereas it is highest on evergreen fossil-species in Suletice-Berand. Overall, insect herbivory tends to be more frequently to occur on toothed leaves (TCTs E, F, and P) that are of low LMA. The frequency, richness, and occurrence of damage types vary among fossil-species with similar phenology and TCT. In general, they are highest on leaves of abundant fossil-species.Discussion: TCTs reflect the diversity and abundance of leaf architectural types of fossil floras. Differences in TCT proportions and quantitative leaf traits may be consistent with local variations in the proportion of broad-leaved deciduous and evergreen elements in the ecotonal vegetation of the early Oligocene. A correlation between leaf size, LMA, and fossil-species indicates that trait variations are partly dependent on the taxonomic composition. Leaf morphology or TCTs itself cannot explain the difference in insect herbivory on leaves. It is a more complex relationship where leaf morphology, LMA, phenology, and taxonomic affiliation are crucial.
Zobrazeno: 5. 11. 2024 06:34