Please use this identifier to cite or link to this item: https://doi.org/10.1111/geb.12341
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dc.titleCommunity assembly on isolated islands: macroecology meets evolution
dc.contributor.authorRominger, AJ
dc.contributor.authorGoodman, KR
dc.contributor.authorLim, JY
dc.contributor.authorArmstrong, EE
dc.contributor.authorBecking, LE
dc.contributor.authorBennett, GM
dc.contributor.authorBrewer, MS
dc.contributor.authorCotoras, DD
dc.contributor.authorEwing, CP
dc.contributor.authorHarte, J
dc.contributor.authorMartinez, ND
dc.contributor.authorO'Grady, PM
dc.contributor.authorPercy, DM
dc.contributor.authorPrice, DK
dc.contributor.authorRoderick, GK
dc.contributor.authorShaw, KL
dc.contributor.authorValdovinos, FS
dc.contributor.authorGruner, DS
dc.contributor.authorGillespie, RG
dc.date.accessioned2022-07-04T06:17:46Z
dc.date.available2022-07-04T06:17:46Z
dc.date.issued2016-07-01
dc.identifier.citationRominger, AJ, Goodman, KR, Lim, JY, Armstrong, EE, Becking, LE, Bennett, GM, Brewer, MS, Cotoras, DD, Ewing, CP, Harte, J, Martinez, ND, O'Grady, PM, Percy, DM, Price, DK, Roderick, GK, Shaw, KL, Valdovinos, FS, Gruner, DS, Gillespie, RG (2016-07-01). Community assembly on isolated islands: macroecology meets evolution. GLOBAL ECOLOGY AND BIOGEOGRAPHY 25 (7) : 769-780. ScholarBank@NUS Repository. https://doi.org/10.1111/geb.12341
dc.identifier.issn1466822X
dc.identifier.issn14668238
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/227722
dc.description.abstractAim: Understanding how ecological and evolutionary processes together determine patterns of biodiversity remains a central aim in biology. Guided by ecological theory, we use data from multiple arthropod lineages across the Hawaiian archipelago to explore the interplay between ecological (population dynamics, dispersal, trophic interactions) and evolutionary (genetic structuring, adaptation, speciation, extinction) processes. Our goal is to show how communities develop from the dynamic feedbacks that operate at different temporal and spatial scales. Location: The Hawaiian islands (19–22° N, 155–160° W). Methods: We synthesize genetic data from selected arthropods across the Hawaiian archipelago to determine the relative role of dispersal and in situ differentiation across the island chronosequence. From four sites on three high islands with geological ages ranging from < 1 Ma to 5 Ma, we also generate ecological metrics on plant–herbivore bipartite networks drawn from the literature. We compare the structure of these networks with predictions derived from the principle of maximum information entropy. Results: From the perspective of the island chronosequence we show that species at lower trophic levels develop population genetic structure at smaller temporal and spatial scales than species at higher trophic levels. Network nestedness decreases while modularity increases with habitat age. Single-island endemics exhibit more specialization than broadly distributed species, but both show the least specialization in communities on middle-aged substrates. Plant–herbivore networks also show the least deviation from theoretical predictions in middle-aged communities. Main conclusions: The application of ecological theory to island chronosequences can illuminate feedbacks between ecological and evolutionary processes in community assembly. We show how patterns of population genetic structure, decreasing network nestedness, increasing network modularity and increased specialization shift from early assembly driven by immigration, to in situ diversification after > 1 Myr. Herbivore–plant communities only transiently achieve statistical steady state during assembly, presumably due to incomplete assembly from dispersal in the early stages, and the increasing influence of island ontogeny on older islands.
dc.language.isoen
dc.publisherWILEY
dc.sourceElements
dc.subjectScience & Technology
dc.subjectLife Sciences & Biomedicine
dc.subjectPhysical Sciences
dc.subjectEcology
dc.subjectGeography, Physical
dc.subjectEnvironmental Sciences & Ecology
dc.subjectPhysical Geography
dc.subjectArthropods
dc.subjectchronosequence
dc.subjectHawaii
dc.subjectmaximum entropy
dc.subjectnetworks
dc.subjectpopulation genetics
dc.subjectANIMAL MUTUALISTIC NETWORKS
dc.subjectADAPTIVE RADIATION
dc.subjectHAWAIIAN
dc.subjectDIVERSITY
dc.subjectPATTERNS
dc.subjectECOLOGY
dc.subjectDIVERSIFICATION
dc.subjectBIOGEOGRAPHY
dc.subjectARCHITECTURE
dc.subjectSTABILITY
dc.typeArticle
dc.date.updated2022-07-04T03:09:28Z
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.description.doi10.1111/geb.12341
dc.description.sourcetitleGLOBAL ECOLOGY AND BIOGEOGRAPHY
dc.description.volume25
dc.description.issue7
dc.description.page769-780
dc.published.statePublished
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