Global patterns of mainland and insular pollination networks
Aim: Interaction networks are being increasingly used to evaluate macroecological patterns. We explored a global dataset to identify differences in the structure of pollination networks from islands (of oceanic and continental origin) and mainlands. For oceanic islands, we further evaluated the effe...
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Published in | Global ecology and biogeography Vol. 25; no. 7; pp. 880 - 890 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
Oxford
Blackwell Publishing Ltd
01.07.2016
John Wiley & Sons Ltd Wiley Subscription Services, Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Aim: Interaction networks are being increasingly used to evaluate macroecological patterns. We explored a global dataset to identify differences in the structure of pollination networks from islands (of oceanic and continental origin) and mainlands. For oceanic islands, we further evaluated the effects of key island traits on network structural parameters. Location: Fifty-two quantitative plant-pollinator networks from continental islands (n = 23), oceanic islands (n = 18) and mainlands (n = 11) located world-wide. Methods: The effect of geographical origin upon network structure was explored by means of generalized mixed models, accounting for biogeographical region, sampling intensity, latitude and network size. For oceanic island networks, the influence of area, age, elevation and isolation was also evaluated. Results: The structure of pollination networks was fairly consistent between mainland and continental islands and only a few differences were noted. Oceanic island networks, however, were smaller and topologically simplified, showing a lower interaction diversity, and higher plant niche overlap than mainland and continental island networks. Isolation and elevational range of oceanic islands influenced the total number of species and interactions. Networks from higherelevation oceanic islands were less nested and those located towards the equator exhibited higher interaction richness. Island area showed no significant effect on any of the network metrics studied here. Main conclusions: Pollination networks appear structurally similar regardless of their geographical origin. However, networks from continental islands are more similar to their mainland counterparts than to those from oceanic islands, probably due to the geological nature of continental islands, which are fragments of the mainland to which they were once connected. Oceanic island networks are the least species- and link-rich, and exhibit the lowest interaction diversity and the highest plant niche overlap, possibly due to lower pollinator richness. The most isolated and low-elevation islands show the simplest networks, and are thus probably the most vulnerable to pollination disruptions. |
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Bibliography: | istex:A55A5E91F7FB419B7E15E8CACDD43E4E85B6EA25 Table S1 Quantitative pollination networks used in this study, with information on sampling location and the type of data collected. Table S2 Island traits used as predictors of metrics describing the pollination network of oceanic islands. Table S3 Metrics describing of 52 pollination networks used in this study. Table S4 Summary of the models predicting the effect of different factors on metrics describing pollination network structure. Table S5 Effects of oceanic island traits on the structure of pollination networks. Table S6 Summary of the models predicting the effect of different factors on metrics describing pollination network structure, treating Jamaica as a continental island.Appendix 1 Definitions of the metrics used in this study to describe network structure. Appendix 2 List of databases consulted to gather information on the percentage of alien plant species in each network. Appendix 3 Caveats to be considered when comparing studies on mutualistic networks at the macroecological scale. Spanish Government - No. CGL2010-18759/BOS; No. CGL2013-44386-P ArticleID:GEB12362 ark:/67375/WNG-G38PN6JS-B ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
ISSN: | 1466-822X 1466-8238 |
DOI: | 10.1111/geb.12362 |