Please use this identifier to cite or link to this item: https://doi.org/10.1111/geb.12341
Title: Community assembly on isolated islands: macroecology meets evolution
Authors: Rominger, 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
Keywords: Science & Technology
Life Sciences & Biomedicine
Physical Sciences
Ecology
Geography, Physical
Environmental Sciences & Ecology
Physical Geography
Arthropods
chronosequence
Hawaii
maximum entropy
networks
population genetics
ANIMAL MUTUALISTIC NETWORKS
ADAPTIVE RADIATION
HAWAIIAN
DIVERSITY
PATTERNS
ECOLOGY
DIVERSIFICATION
BIOGEOGRAPHY
ARCHITECTURE
STABILITY
Issue Date: 1-Jul-2016
Publisher: WILEY
Citation: Rominger, 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
Abstract: Aim: 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.
Source Title: GLOBAL ECOLOGY AND BIOGEOGRAPHY
URI: https://scholarbank.nus.edu.sg/handle/10635/227722
ISSN: 1466822X
14668238
DOI: 10.1111/geb.12341
Appears in Collections:Elements
Staff Publications

Show full item record
Files in This Item:
File Description SizeFormatAccess SettingsVersion 
Rominger et al. - 2016 - Community assembly on isolated islands macroecolo.pdfAccepted version637.78 kBAdobe PDF

CLOSED

Published

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.