A trait‐based approach to predict population genetic structure in bees-Reference-Cited by-同舟云学术

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A trait‐based approach to predict population genetic structure in bees

Published:2019-04 Issue:8 Volume:28 Page:1919-1929
ISSN:0962-1083
Container-title:Molecular Ecology
language:en
Short-container-title:Mol Ecol

Author:

López‐Uribe Margarita M.¹^ORCID,Jha Shalene²^ORCID,Soro Antonella³^ORCID

Affiliation:

1. Department of Entomology, Center for Pollinator Research Pennsylvania State University University Park Pennsylvania

2. Deparment of Integrative Biology The University of Texas at Austin Austin Texas

3. Institute for Biology Martin‐Luther University Halle (Saale) Germany

Funder

National Science Foundation

Publisher

Wiley

Subject

Genetics,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/mec.15028

Reference75 articles.

1. Long-Term Global Trends in Crop Yield and Production Reveal No Current Pollination Shortage but Increasing Pollinator Dependency

2. The adaptive value of inactive foragers and the scout-recruit system in honey bee (Apis mellifera) colonies

3. Landscape connectivity and animal behavior: functional grain as a key determinant for dispersal

4. Linking bird, carabid beetle and butterfly life-history traits to habitat fragmentation in mosaic landscapes

5. Barton K.(2016).MuMIn: Multi‐model inference. R package version 1.10. Retrieved fromhttp://r-forge.r-project.org/projects/mumin/

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