Honest floral signalling traits vary across and within populations in an insect‐pollinated plant

نویسندگان

چکیده

In flowering plants that produce concealed rewards, pollinator foraging preferences may select for floral advertisement traits are correlated with rewards. To date, studies have not focused on the potential honest signals to vary across populations, which could occur due differences in communities or plant mating system. We tested variation and within populations systems Arabis alpina, a broadly distributed arctic-alpine perennial herb is visited by variable community of insects. greenhouse common garden, we correlations between corolla area, scent nectar volume 29 populations. 12 field examined pollen limitation area. Across systems, larger flowers generally produced more nectar. Total emission was production, but two compounds—phenylacetaldehyde benzyl alcohol—may be some Corolla area only Our results suggest similar result from contemporary direct selection advertisements. Read free Plain Language Summary this article Journal blog.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

an investigation of accuracy and complexity across different proficiency levels in written narrative task

abstract this quasi-experimental study was aimed at examining the impact of storyline complexity on the grammatical accuracy and complexity of advanced and intermediate efl learners. a total of 65 advanced and intermediate efl learners were selected from iran language institute (ili). an intact group including 35 intermediate participants and another intact group with 30 advanced participants ...

Genomic Selection for growth traits in Eucalyptus: accuracy within and across breeding populations

Background Genomic selection (GS) involves selection decisions based on genomic breeding values estimated as the sum of the effects of genome-wide markers capturing most QTLs for the target trait(s). GS is revolutionizing breeding practice for complex trait in domestic animals. The same approach and concepts can be readily applied to forest tree breeding. Trees also have long generation times a...

متن کامل

The evolution of floral scent: the influence of olfactory learning by insect pollinators on the honest signalling of floral rewards

1. The evolution of flowering plants has undoubtedly been influenced by a pollinator's ability to learn to associate floral signals with food. Here, we address the question of 'why' flowers produce scent by examining the ways in which olfactory learning by insect pollinators could influence how floral scent emission evolves in plant populations. 2. Being provided with a floral scent signal allo...

متن کامل

Floral dimorphism in plant populations with combined versus separate sexes.

BACKGROUND AND AIMS Dimorphism among floral traits can evolve through variation in selection intensity between female and male performance, especially when sex functions are separated between flowers on a plant (monoecy), or between individuals (dioecy). In animal-pollinated species, male floral traits are predicted to be larger because competition for pollinators should favour larger displays....

متن کامل

Within- and Across-Species Responses of Plant Traits and Litter Decomposition to Elevation across Contrasting Vegetation Types in Subarctic Tundra

Elevational gradients are increasingly recognized as a valuable tool for understanding how community and ecosystem properties respond to climatic factors, but little is known about how plant traits and their effects on ecosystem processes respond to elevation. We studied the response of plant leaf and litter traits, and litter decomposability across a gradient of elevation, and thus temperature...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Functional Ecology

سال: 2023

ISSN: ['0269-8463', '1365-2435']

DOI: https://doi.org/10.1111/1365-2435.14405