Leaf palatability is driven by trait variation within Quercus robur crowns

Plant–herbivore interactions vary across spatial and temporal scales in response to environmental gradients. However, despite substantial variation in leaf traits even within individuals and under similar environmental conditions, the role of leaf traits in shaping leaf palatability remains poorly understood. Here, we disentangled the effects of leaf trait variation from those of crown strata (sun vs. shade) and season on leaf palatability within the crowns of Quercus robur forest trees. Palatability was measured in no-choice feeding bioassays with Lymantria dispar caterpillars as consumed leaf volume per unit caterpillar mass. We related palatability to structural traits, including leaf dry matter content (LDMC) and leaf mass per area (LMA), and proxies for chemical traits including flavonol, anthocyanin, and nitrogen balance index (NBI). We found that more palatable leaves had higher NBI but lower LDMC, LMA, and flavonol content. Shade leaves were generally more palatable than sun leaves, reflecting trait differences between crown strata. Leaf palatability fluctuated among seasons and didn’t strictly mirror seasonal shifts in leaf traits. Our findings highlight that leaf palatability arises from spatially structured variation in leaf traits within tree crowns, whereas temporal palatability variation is highly complex and driven by factors beyond structural and chemical leaf traits.

Authors

Publication Details

Published
2026-11-09
DOI
https://doi.org/10.32942/x2jm5p
Primary Topic
Insect-Plant Interactions and Control
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
NOV
preprint

Leaf palatability is driven by trait variation within Quercus robur crowns

Lucy Saueressig, Stefan Pinkert, Susanne Walden, Anjaharinony A. N. A. Rakotomalala et al.
Insect-Plant Interactions and Control
preprint

Leaf palatability is driven by trait variation within Quercus robur crowns

Lucy Saueressig, Stefan Pinkert, Susanne Walden, Anjaharinony A. N. A. Rakotomalala, Christian Lampei, Lars Opgenoorth, Tobias Müller, Maaike Bader, Anke Becker, Annabell Wagner, Esther Meissner, Nina Farwig, Robert Junker
preprint en

Abstract

Plant–herbivore interactions vary across spatial and temporal scales in response to environmental gradients. However, despite substantial variation in leaf traits even within individuals and under similar environmental conditions, the role of leaf traits in shaping leaf palatability remains poorly understood. Here, we disentangled the effects of leaf trait variation from those of crown strata (sun vs. shade) and season on leaf palatability within the crowns of Quercus robur forest trees. Palatability was measured in no-choice feeding bioassays with Lymantria dispar caterpillars as consumed leaf volume per unit caterpillar mass. We related palatability to structural traits, including leaf dry matter content (LDMC) and leaf mass per area (LMA), and proxies for chemical traits including flavonol, anthocyanin, and nitrogen balance index (NBI). We found that more palatable leaves had higher NBI but lower LDMC, LMA, and flavonol content. Shade leaves were generally more palatable than sun leaves, reflecting trait differences between crown strata. Leaf palatability fluctuated among seasons and didn’t strictly mirror seasonal shifts in leaf traits. Our findings highlight that leaf palatability arises from spatially structured variation in leaf traits within tree crowns, whereas temporal palatability variation is highly complex and driven by factors beyond structural and chemical leaf traits.

Insect-Plant Interactions and Control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon