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https://hdl.handle.net/1959.11/62414
Title: | Global dataset of bee and hoverfly body weight (mg) and co-varying traits | Contributor(s): | Kendall, Liam K (creator) ; Rader, Romina (supervisor) ; Gagic, Vesna (supervisor); Cariveau, Daniel P (creator); Albrecht, Matthias (creator); Baldock, Katherine C R (creator); Freitas, Breno M (creator); Hall, Mark A (creator); Holzschuh, Andrea (creator); Molina, Francisco P (creator); Morten, Joanne M (creator); Pereira, Janaely S (creator); Portman, Zachary M (creator); Roberts, Stuart P M (creator); Rodriguez, Juanita (creator); Russo, Laura (creator); Sutter, Louis (creator); Vereecken, Nicolas J (creator); Bartomeus, Ignasi (creator) | Publication Date: | 2019-02-01 | Open Access: | Yes | Handle Link: | https://hdl.handle.net/1959.11/62414 | Open Access Link: | 10.5281/zenodo.1313905 | Related Research Outputs: | https://hdl.handle.net/1959.11/57208 https://hdl.handle.net/1959.11/62410 https://hdl.handle.net/1959.11/62411 https://hdl.handle.net/1959.11/62412 https://hdl.handle.net/1959.11/62413 |
Abstract/Context: | Body size is an integral functional trait that underlies pollination-related ecological processes. This dataset consists of direct measurements of body size, as dry weight, and the intertegular distance (ITD) of 391 bee species (4035 specimens) and 103 hoverfly species (399 specimens) across four biogeographic regions: Australia, Europe, North America and South America. We used Bayesian mixed-models to test the power of ITD to predict interspecific variation in pollinator dry weight in interaction with different co-variates: phylogeny or taxonomy, sexual dimorphism and biogeographic region. In addition, we used ordinary least squares regression to assess intraspecific dry weight ~ ITD relationships for ten bee and five hoverfly species. Including co-variates led to more robust interspecific body size predictions for both bees and hoverflies relative to models with ITD alone. In contrast, at the intraspecific level, our results demonstrate that ITD is an inconsistent predictor of body size for bees and hoverflies. Collectively, these models form the basis of the dynamic R package, 'pollimetry’, which provides a comprehensive resource for allometric pollination research worldwide. | Publication Type: | Dataset | Grant Details: | ARC/DE170101349 | Fields of Research (FOR): | 060202 Community Ecology (excl. Invasive Species Ecology) | Fields of Research (FoR) 2020: | 310302 Community ecology (excl. invasive species ecology) | Socio-Economic Objective (SEO): | 960899 Flora, Fauna and Biodiversity of Environments not elsewhere classified | Keywords: | Apoidea bee body weight hoverfly intertegular distance pollination Syrphidae |
Location Coordinates: | {"type":"FeatureCollection","features":[{"type":"Feature","geometry":{"type":"LineString","coordinates":[[151.61075500488278,-30.50553485871017],[151.61022092285214,-30.538646491880463],[151.71836750842022,-30.538980498691608],[151.71743296075147,-30.46786993848366],[151.6409816724656,-30.46843091179358],[151.611222278711,-30.467216398754953]]},"properties":{}}]} | HERDC Category Description: | X Dataset | Description: | This dataset is openly accessible via GitHub (https://github.com/liamkendall/pollimetry) and Zenodo (https://doi.org/10.5281/zenodo.1313905). | Project: | Optimising horticultural pollination services by understanding the mechanisms underlying species and community-level processes | Dataset Managed By: | Liam Kendall | Rights Holder: | Liam Kendall | Dataset Stored at: | GitHub | Primary Contact Details: | Liam Kendall - liam.k.kendall@gmail.com | Dataset Custodian Details: | Liam Kendall - liam.k.kendall@gmail.com |
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Appears in Collections: | Dataset School of Environmental and Rural Science |
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