|Appears in Collections:||Biological and Environmental Sciences Journal Articles|
|Peer Review Status:||Refereed|
|Title:||Are neotropical predictors of forest epiphyte–host relationships consistent in Indonesia?|
|Authors:||Hayward, Robin Martin|
Martin, Thomas Edward
Utteridge, Timothy Michael Arthur
Mustari, Abdul Haris
Marshall, Andrew Robert
|Citation:||Hayward RM, Martin TE, Utteridge TMA, Mustari AH & Marshall AR (2017) Are neotropical predictors of forest epiphyte–host relationships consistent in Indonesia?, Journal of Tropical Ecology, 33 (2), pp. 178-182.|
|Abstract:||Epiphytes represent keystone resources for many arthropod and vertebrate species, however their ecology remains poorly explored, especially within the palaeotropics. Several recent studies have examined relationships between epiphyte richness and characteristics of local habitats, although these have all focused on neotropical forests. Here, we aim to determine whether predictors of neotropical epiphyte richness are consistent at a palaeotropical site. A total of 44 host trees (dbh range 25–288 cm) were sampled at two study sites on Buton Island, Indonesia. For each tree, epiphyte richness and seven variables relating to characteristics of the host tree and surrounding habitats were recorded: site (a proxy value for disturbance level and water availability), host above-ground biomass (agb), altitude, bark texture, exposure, emergence and crown area. Gaussian GLM analyses indicated that the percentage deviance explained in epiphyte richness per host was greatest for agb (20.9%), crown area (19.6%) and site (15.5%); similar to previous findings from the neotropics. Results therefore suggest that high epiphyte diversity within palaeotropical forests is most likely to be found in large tracts of undisturbed forest, supporting large, broad-crowned trees.|
|Rights:||This article has been accepted for publication in Journal of Tropical Ecology. This version is free to view and download for private research and study only. Not for re-distribution, re-sale or use in derivative works. © Cambridge University Press 2017|
|HaywardEtAl2017_epiphyteSppRichPredictorsIndonesia_pre_Proof.pdf||205.54 kB||Adobe PDF||View/Open|
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