Modeling directional spatio-temporal processes in island biogeography

Carvalho, José C.; Cardoso, Pedro; Rigal, François; Triantis, Kostas A.; Borges, Paulo A. V.

Publication

Modeling directional spatio-temporal processes in island biogeography

2015-10Journal article

dc.contributor.author	Carvalho, José C.
dc.contributor.author	Cardoso, Pedro
dc.contributor.author	Rigal, François
dc.contributor.author	Triantis, Kostas A.
dc.contributor.author	Borges, Paulo A. V.
dc.date.accessioned	2017-06-14T12:14:25Z
dc.date.available	2017-06-14T12:14:25Z
dc.date.issued	2015-10
dc.date.updated	2015-11-11T16:23:49Z
dc.description.abstract	A key challenge in island biogeography is to quantity the role of dispersal in shaping biodiversity patterns among the islands of a given archipelago. Here, we propose such a framework. Dispersal within oceanic archipelagos may be conceptualized as a spatio-temporal process dependent on: (1) the spatial distribution of islands, because the probability of successful dispersal is inversely related to the spatial distance between islands and (2) the chronological sequence of island formation that determines the directional asymmetry of dispersal (hypothesized to be predominantly from older to younger islands). From these premises, directional network models may be constructed, representing putative connections among islands. These models may be translated to eigenfunctions in order to be incorporated into statistical analysis. The framework was tested with 12 datasets from the Hawaii, Azores, and Canaries. The explanatory power of directional network models for explaining species composition patterns, assessed by the Jaccard dissimilarity index, was compared with simpler time-isolation models. The amount of variation explained by the network models ranged from 5.5% (for Coleoptera in Hawaii) to 60.2% (for Pteridophytes in Canary Islands). In relation to the four studied taxa, the variation explained by network models was higher for Pteridophytes in the three archipelagos. By the contrary, small fractions of explained variation were observed for Coleoptera (5.5%) and Araneae (8.6%) in Hawaii. Time-isolation models were, in general, not statistical significant and explained less variation than the equivalent directional network models for all the datasets. Directional network models provide a way for evaluating the spatio-temporal signature of species dispersal. The method allows building scenarios against which hypotheses about dispersal within archipelagos may be tested. The new framework may help to uncover the pathways via which species have colonized the islands of a given archipelago and to understand the origins of insular biodiversity.	en
dc.description.sponsorship	FCT - Fundação para a Ciência e a Tecnologia, I.P.	pt_PT
dc.description.version	info:eu-repo/semantics/publishedVersion	pt_PT
dc.identifier	20457758	en_US
dc.identifier.citation	Carvalho, J.C.; Cardoso, P.; Rigal, F.; Triantis, K.A.; Borges, P.A.V. (2015). Modeling directional spatio-temporal processes in island biogeography, "Ecology and Evolution", 5(20): 4671-4682. doi: 10.1002/ece3.1632	pt_PT
dc.identifier.doi	10.1002/ece3.1632	pt_PT
dc.identifier.issn	2045-7758 (Online)
dc.identifier.uri	http://hdl.handle.net/10400.3/4239
dc.language.iso	eng	pt_PT
dc.peerreviewed	yes	pt_PT
dc.publisher	Wiley Open Access	pt_PT
dc.relation	Biodiversity on oceanic islands: towards a unified theory
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/	pt_PT
dc.subject	Community Assembly	en
dc.subject	Dispersal Limitation	en
dc.subject	Island Colonization	en
dc.subject	Network Analysis	en
dc.subject	Oceanic Islands	en
dc.subject	Spatio-temporal Modeling	en
dc.title	Modeling directional spatio-temporal processes in island biogeography	en
dc.type	journal article
dspace.entity.type	Publication
oaire.awardTitle	Biodiversity on oceanic islands: towards a unified theory
oaire.awardURI	info:eu-repo/grantAgreement/FCT/3599-PPCDT/PTDC%2FBIA-BIC%2F119255%2F2010/PT
oaire.citation.endPage	4682	pt_PT
oaire.citation.issue	20	pt_PT
oaire.citation.startPage	4671	pt_PT
oaire.citation.title	Ecology and Evolution	pt_PT
oaire.citation.volume	5	pt_PT
oaire.fundingStream	3599-PPCDT
project.funder.identifier	http://doi.org/10.13039/501100001871
project.funder.name	Fundação para a Ciência e a Tecnologia
rcaap.rights	openAccess	pt_PT
rcaap.type	article	pt_PT
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