Vignesh VenkateswaranMax Planck Institute for Chemical Ecology | ice · Department of Evolutionary Neuroethology
Vignesh Venkateswaran
Doctor of Philosophy
About
13
Publications
2,169
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48
Citations
Introduction
Additional affiliations
July 2012 - present
Position
- PhD Student
Description
- I study the evolutionary and ecological factors that govern the dispersal abilities of community members of aseasonal ephemeral microcosms.
Publications
Publications (13)
The combined influence of life-history strategy and resource dispersion on dispersal evolution of a biological community, and by extension, on community assemblage, has received sparse attention. Highly specialized fig wasp communities are ideal for addressing this question since the life-history strategies that affect their pace of life and the di...
The study of animal movement and dispersal has ushered a diverse array of theoretical inquiries and predictions. However, empirical studies to test these predictions on how dispersion of resources drives the evolution of dispersal are few. Such an investigation is particularly challenging when trying to account for both the context of dispersal and...
Insects detect volatile chemicals using antennae, which house a vast variety of olfactory sensory neurons (OSNs) that innervate hair-like structures called sensilla where odor detection takes place. In addition to OSNs, the antenna also hosts various support cell types. These include the triad of trichogen, tormogen, and thecogen support cells that...
Insects detect volatile chemicals using antennae, which house a vast variety of olfactory sensory neurons (OSNs) that innervate hair-like structures called sensilla where odor detection takes place. In addition to OSNs, the antenna also hosts various support cell types. These include the triad of trichogen, tormogen and thecogen support cells that...
Metacommunity membership is influenced by habitat availability and trophic requirements. However, for multitrophic horizontally transmitted symbiont communities that are closely associated with hosts, symbiont–host interactions may affect membership criteria in novel ways. For example, failure of beneficial services from symbionts could influence t...
Metacommunity membership is influenced by habitat availability and trophic requirements. However, for multitrophic symbiont communities that are closely associated with host plants, symbionts and hosts may additionally influence each other affecting membership criteria in novel ways. For example, failure of beneficial services from a symbiont could...
Communities in which species are obligately associated with a single host are ideal to test adaptive responses of community traits to host-imposed selection because such communities are often highly insulated. Fig species provide oviposition resources to co-evolved fig-wasp communities. Dispersing fig-wasp communities move from one host plant to an...
Communities in which species are obligately associated with a single host plant are ideal to test adaptive responses of community traits to selection since such communities are often highly insulated. Fig species provide oviposition resources to co-evolved fig-wasp communities. Dispersing fig-wasp communities move from one host plant to another for...
In a nursery pollination mutualism, we asked whether environmental factors affected reproduction of mutualistic pollinators, non-mutualistic parasites and seed production via seasonal changes in plant traits such as inflorescence size and within-tree reproductive phenology. We examined seasonal variation in reproduction in Ficus racemosa community...
Questions
Questions (3)
Dear RGverse, Can someone point me to relevant literature on the molecular basis of masking that leads to nocturnality and diurnality? I am particularly interested in insects. There is a lot of literature on circadian rhythms but very little about masking mechanisms that seem to dictate when an organism is active with respect to the day and night. Perhaps it is as yet unknown but any pointers would be super useful.
I am searching for a software or a tool that can predict the breakdown of volatile organic compounds with ozone or NOX is a gaseous phase. Even a few leads would be helpful.
What is a good statistical test to investigate how frequency distribution responses are influenced by more than one predictor variable? Can this be done within the multiple linear regression or the GLM framework?
