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Intraspecific variation constitutes a cornerstone for evolution and a prerequisite for the local adaptation of species and thus their resilience against environmental change. Intraspecific variation can also strongly influence interactions between organisms, because interactions happen at the individual level and depend on the specific phenotypes of individual interaction partners. In IntraFlor, we aim to understand the importance of variation in individual phenotypes (i.e. intraspecific variation) for interaction patterns and interaction outcomes, focusing on flowering plant-pollinator interactions in grasslands.

Previous studies and our own preliminary data collected at the grassland plots of the Biodiversity Exploratories indicate strong effects of land-use and management type on intraspecific variation in those flower traits that are known to affect pollinator visitation patterns and thus plant-pollinator interactions.


In IntraFlor, we want to (i) further investigate and quantify the effect of grassland management and population genetic diversity on intraspecific variation in these flower traits, and (ii) unravel the consequences of such trait plasticity within and between plant populations/communities for individual pollinator behavior and plant reproductive fitness.

Within three working packages (WP), we will:
(i) quantify correlations between different types of grassland management, local population genetic diversity and intraspecific variation in morphological, physiological, and chemical flower traits of selected plant species across space and time,
(ii) investigate how intraspecific variation in flower traits relates to foraging patterns of individual pollinators, and
(iii) determine how intraspecific trait variation affects differences in pollination success of individual plants.


We will combine morphological and physiological measurements (e.g. display size, flower height, petal color) on-site with laboratory analyses of chemical traits (e.g. flower scent, pollen chemistry) and of the genetic structure and diversity of plant populations. Effects of phenotypic variation in traits on pollinator behavior and pollination success will be determined through field observations and a greenhouse experiment. Insights gained from IntraFlor will greatly enhance our understanding of how the interaction between intraspecific variation in floral traits and land-use affect individual pollinator behavior, subsequent interaction patterns and thus the ecosystem function of pollination.


The goal of this project is to identify the effects of land-use intensity on floral trait variability, and the consequent effects on pollinator foraging behaviour and pollination success. Therefore, the results are divided in two parts:

1. Effects of land-use on floral traits and their variation
Our results show that the flowering community, shaped by land-use intensity, has a significant influence on flower traits and their variability, in addition to land-use components. Interestingly, our two focal species responded differently to inter- and intraspecific competition from the surrounding plant community. Fertilization and grazing intensity correlated directly with flower morphology, which in turn correlated with flower traits (Fig. 1). Ranunculus acris responded strongly to interspecific competition: in areas with high overall flower density, R. acris flowers were larger with lower pollen and nectar sugar content (Fig. 1). In contrast, for Trifolium pratense, an increased relative abundance of T. pratense led to larger flowers with higher pollen and nectar sugar content (Fig. 1), presumably because it is a legume and can fix nitrogen, thus balancing nutrient competition with the surrounding plant community. Our results thus show that different species use different strategies to be successful in areas with high inter- or intraspecific competition.

The variability of flower traits changed significantly with the surrounding plant community, but less so with land-use variables. The variation in nectar sugar content decreased with increasing flower density in R. acris, while it also decreased in plots with a high relative abundance of T. pratense. This again suggests that T. pratense is more honest with potential pollinators than R. acris. We also observed that T. pratense exhibited lower color variability in plots with low relative abundance (Fig. 2).

2. Effects of land-use on pollinator foraging and pollination success

We investigated changes in the foraging behavior of bumblebees, particularly on our focal species Trifolium pratense, as a function of land-use intensity. The pollen composition in the pollen baskets of bumblebees, analyzed using metabarcoding, differed significantly between the various land-use intensity categories (Fig. 3).

Plots with high flower density showed higher bumblebee species richness (Fig. 4a). Although the proportion of T. pratense pollen in bumblebee pollen baskets increased in areas with a high relative abundance of T. pratense (Fig. 4a), this had no significant effect on the number of seeds per inflorescence. However, the number of seeds
increased with the overall flower density (Fig. 4c), suggesting that pollination is facilitated in areas with high flower density.

Overall, our results show that different species exhibit different strategies under varying intensities of land use. The plant community shaped by land use influences flower characteristics and their variability, as well as the pollen collected by bumblebees on the grassland plots, and likely have an indirect effect on seed set.


Doc
Die intraspezifische Variation von Blütenmerkmalen verändert sich mit der Struktur der Pflanzengemeinschaft entlang eines Landnutzungsgradienten.
Bansal V., Keller A., van der Kooi C. J., Leonhardt S. D. (2026): Intraspecific floral trait plasticity shifts with plant community structure along a land-use gradient. Plant Ecology 227, 77. doi: 10.1007/s11258-026-01645-y
More information:  doi.org

Public Datasets

Dataset
Bansal, Vidisha (2026): Flower display size, nectar volume and sugar content of Trifolium pratense from 87 grassland plots in 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.71615/bexis.32258
Dataset
Bansal, Vidisha (2026): Pollen quantification from Ranunculus acris and Trifolium pratense from 100 grassland plots in 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.71615/bexis.32296
Dataset
Bansal, Vidisha (2026): Flower morphology and nectar sugar content of Ranunculus acris from 57 grassland plots in 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.71615/bexis.32297
Dataset
Bansal, Vidisha (2026): Trifolium pratense seed number and weight from 45 grassland plots across all three Exploratories from the years 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.71615/bexis.32432
Dataset
Bansal, Vidisha (2026): Bumblebee species collected from 70 grassland plots across all three Exploratories in 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. https://doi.org/10.71615/bexis.32450

Non-public datasets

Dataset
Link to the R script for: Bansal V., Keller A., van der Kooi, C. J., Leonhardt, S. D. (2026) Intraspecific floral trait variation shifts with plant community structure along a land-use gradient
Bansal, Vidisha (2026): Link to the R script for: Bansal V., Keller A., van der Kooi, C. J., Leonhardt, S. D. (2026) Intraspecific floral trait variation shifts with plant community structure along a land-use gradient. Version 4. Biodiversity Exploratories Information System. Dataset. www.bexis.uni-jena.de. Dataset ID= 32431
Dataset
Metabarcoding results of the pollen load carried by bumblebees from 57 grassland plots from all three exploratories in 2023-2024
Bansal, Vidisha (2026): Metabarcoding results of the pollen load carried by bumblebees from 57 grassland plots from all three exploratories in 2023-2024. Version 1. Biodiversity Exploratories Information System. Dataset. www.bexis.uni-jena.de. Dataset ID= 32434
Dataset
R script for the GLMMs and ggplots used for “Bumblebee foraging and pollination success under increasing land-use intensification: a case study across German grasslands”
Bansal, Vidisha (2026): R script for the GLMMs and ggplots used for "Bumblebee foraging and pollination success under increasing land-use intensification: a case study across German grasslands". Version 1. Biodiversity Exploratories Information System. Dataset. www.bexis.uni-jena.de. Dataset ID= 32436

Scientific assistants

Prof. Dr. Alexander Keller
Project manager
Prof. Dr. Alexander Keller
Ludwig-Maximilians-Universität - LMU München
Prof. Dr. Sara Leonhardt
Project manager
Prof. Dr. Sara Leonhardt
Technische Universität München (TUM)
Vidisha Bansal
Employee
Vidisha Bansal
Technische Universität München (TUM)
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