bioRxiv Science⌕ Search

bioRxiv · 10.1101/2023.06.27.546802

VARIATIONS IN THE ULTRAVIOLET FLORAL PATTERNS AND POLLINATOR PREFERENCE AMONG SELECTED NON-INVASIVE AND INVASIVE PLANTS OF TAMIL NADU, INDIA

Abstract

Fossil evidence shows that pollinator-mediated plant reproduction evolved [~]140 million years ago and bee facilitated pollination evolved [~]70 million years ago. Human vision is limited to the visible color range of 400 to 750 nanometres, whereas most pollinators can perceive the ultraviolet (UV) range in addition to visible colors. Bees have been reported to have highest spectral sensitivity in the ultraviolet spectrum. The main objectives of the study were (1) to assess the prevalence of ultraviolet floral patterns, (2) to analyse floral patterns in relation to plant-pollinator interaction among invasive and non-invasive plants, and (3) to test for intraspecific floral pattern variations among plants with different flower color morphs. A study was conducted on 188 plant species (80 invasive and 108 non-invasive) from parts of Western and Eastern Ghats region of Tamil Nadu, India. The flowers of the studied plant species were imaged in ultraviolet (320-380 nm) and visible spectrums. The mode of pollination for the selected species were documented and confirmed with existing literature. The intraspecific variations in the floral patterns among flower color polymorphic plant species (N=10) were documented in ultraviolet and visible spectrums. Among the studied plant species, around 58% had discernible floral patterns when observed in the UV spectrum, whereas the rest were observed to completely absorb or reflect UV radiation. Whereas 46% of the studied plants exhibited no pattern in the visible spectrum. A significant difference was observed in the pollinator relationship among the ultraviolet floral patterns in invasive plants ({chi}2 = 63.98, df = 32, P < 0.001), whereas no significant variation was evidenced in the pollinator relationship among the ultraviolet floral patterns in non-invasive plants ({chi}2 = 19.50, df = 24, P = 0.724). Analysis of pollinator preference revealed that invasive species were mostly pollinated by bee and butterfly mediated pollination, whereas non-invasive species were mostly pollinated by bees and generalist insects. Intraspecific variations in the floral ultraviolet signal were observed among different morphs in a few flower color polymorphic species, especially in Lantana camara. The multispectral analysis of floral patterns revealed that plants utilize both the visible and ultraviolet spectrums to effectively communicate with pollinators. The results from the present study strongly suggest that the variation in the floral ultraviolet signature among invasive species might play a vital role in plant-pollinator interaction and invasion success.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Ravichandran, I. S., Balasingam, P., Rajasekaran, M. R., Ananthapadmanabhan, K., Muthuvel, M., Ramalingam, K., M, V., Nalluchamy, K., Soorangkattan, S., MR, A., Sivagnanam, C.. 2023-06-30. VARIATIONS IN THE ULTRAVIOLET FLORAL PATTERNS AND POLLINATOR PREFERENCE AMONG SELECTED NON-INVASIVE AND INVASIVE PLANTS OF TAMIL NADU, INDIA. https://doi.org/10.1101/2023.06.27.546802

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Beyond Single-Metric Assessments: Uncovering Masked Butterfly Declines via Multi-Scalar Analysis in Central Alberta

1. This study analyzed 21 years (2000-2025) of butterfly count data from Central Alberta, integrated with intensive 5-year (2021-2025) high-resolution intra-seasonal sampling. 2. Long-term macro-scale analysis revealed a significant decline in Shannon Diversity, a change that remained obscured when relying solely on traditional metrics of species richness and evenness. 3. This diversity decline was primarily driven by the severe, long-term collapse of the native Common Ringlet (Coenonympha tullia). 4. Four other dominant species--Cabbage White (Pieris rapae), Clouded Sulphur (Colias eriphyle), European Skipper (Thymelicus lineola), and Common Wood Nymph (Cercyonis pegala)--maintained long-term population stability, though their abundances were significantly constrained by extreme winter minimum temperatures and rapid spring warming. 5. High-resolution intra-seasonal analysis (2021-2025) demonstrated that community indices and species-specific abundances were strongly limited by daily weather, particularly wind velocity and temperature. 6. These findings illustrate that while traditional metrics like richness and evenness are fundamental to community ecology, they provide incomplete insights when applied in isolation; they are most effective when utilized as part of a complementary, multi-scalar framework. 7. This study highlights the necessity of coupling multi-decadal historical datasets with high-frequency, fine-scale sampling to accurately identify the mechanisms of community turnover that simpler metrics may overlook. 8. The results underscore the critical importance of standardized citizen science monitoring in quantifying environmental impacts and establishing conservation priorities for terrestrial insect groups.

ecology↗

From concentration to export: resource contrasts and bee traits shape pollinator spillover to crops

Floral plantings can either concentrate bees or export them to adjacent crops, yet the ecological conditions influencing these outcomes remain unclear. Here, we develop a mathematical model as proof of concept for our previous integrative hypothesis: concentrator and exporter outcomes can arise as alternative, context-dependent outcomes of the same underlying resource-selection process. Using bees as a model and focusing specifically on spillover from floral plantings to crops, we identified resource-specific thresholds separating concentration- and export-favoring conditions. Our model translates differences in relative patch attractiveness into context-dependent concentration and export outcomes and generates resource-specific, testable predictions about the conditions favoring pollinator movement into crops. In our simulations, the concentrator-exporter transition occurred at a lower flowering-intensity contrast than at pollen or nectar contrasts, which suggests that flowering intensity may provide an initial cue for bee movement, whereas nectar and pollen rewards refine or sustain bee responses once crops are perceived as attractive. Spillover thresholds differed among resource contrasts, whereas response steepness varied across bee-trait and community scenarios. Under the model's trait-sensitivity formulation, predicted spillover probability responded more strongly to flowering contrast for specialists than for generalists; colony size amplified this response, whereas bee richness dampened it. Together, these patterns show how flowering and resource contrasts interact with bee traits and community context to shape predicted spillover. Our results confirm that the concentrator and exporter hypotheses can be understood as context-dependent outcomes of the same ecological process rather than as mutually exclusive alternatives. Experimental tests of the predicted thresholds conducted in the field could reveal when and where floral plantings are most likely to promote bee spillover to crops, potentially supporting crop pollination.

ecology↗

A Computational Re-evaluation of Spatial Trials for Zoonotic Tuberculosis Control: Model Misspecification, Diagnostic Miss-classification, and the Illusion of Wildlife Culling Efficacy

1. Wildlife reservoir management frequently relies on the Randomised Badger Culling Trial's (RBCT) trade-off hypothesis, which posits that reductions in cattle herd infections are offset by a perturbation effect driven by disrupted host dispersal. This paper evaluates the computational and epidemiological robustness of this historical trial, which serves as the foundational empirical experiment guiding zoonotic tuberculosis (Mycobacterium bovis) control policies. 2. Using generalized linear mixed models with a generalized Poisson error distribution to explicitly address historical data overdispersion, this study contrasts traditional parametric inference against exact cluster-constrained permutation tests across distinct operational definitions of disease incidence. 3. Non-parametric diagnostics reveal that previously reported treatment and perturbation effects render as statistical artifacts under exact non-parametric permutation. Inside culling zones, parametric significance fails to withstand exact permutation verification due to extreme data leverage in localized cluster blocks. 4. Crucially, when diagnostic misclassification biases are eliminated by analysing total reactor datasets, all apparent culling effects disappear, and information criteria overwhelmingly favour nested null architectures. Unconfirmed reactors likely represent true biological infections missed by low-sensitivity post-mortem macro-necropsy, proving that host removal tracks observation noise rather than genuine zoonotic transmission pathways. 5. Finally, empirical scaling conducted in this study identifies a novel mathematical saturation effect, demonstrating that this sub-linear scaling is an operational artifact of unmodelled herd-level disease recurrence over time. 6. Policy implications. Because current zoonotic tuberculosis intervention frameworks are built upon a structurally misspecified statistical model, they have driven large-scale veterinary policies resulting in substantial, unevidenced ecological and economic interventions while failing to provide genuine public health, animal health, or disease control benefits.

ecology↗