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dc.contributor.author Sams, Michael
dc.contributor.author Lai, Hao Ran
dc.contributor.author Bonser, Stephen
dc.contributor.author Vesk, Peter
dc.contributor.author Kooyman, Robert
dc.contributor.author Metcalfe, Daniel
dc.contributor.author Morgan, John W.
dc.contributor.author Mayfield, Margaret
dc.coverage.spatial Eastern Australia
dc.coverage.temporal 2012-2013
dc.date.accessioned 2017-09-21T17:04:14Z
dc.date.available 2017-09-21T17:04:14Z
dc.date.issued 2017-09-18
dc.identifier doi:10.5061/dryad.k16gv
dc.identifier.citation Sams MA, Lai HR, Bonser SP, Vesk PA, Kooyman RM, Metcalfe DJ, Morgan JW, Mayfield MM (2017) Landscape context explains changes in the functional diversity of regenerating forests better than climate or species richness. Global Ecology and Biogeography 26(10): 1165-1176.
dc.identifier.uri http://hdl.handle.net/10255/dryad.151836
dc.description Aim A rich literature on forest succession provides general expectations for the steps forests go through while reassembling after disturbance, yet we still have a surprisingly poor understanding of why the outcomes of forest recovery after logging (or other disturbances) vary so extensively. In this paper, we test the hypothesis that regional species pool, system productivity, climate and landscape structure are important drivers of forest reassembly outcomes. Location Transect 1,500 km in length along the east coast of Australia. Time period Survey of 50- to 60-year-old rain forest regrowth and primary forest conducted in 2012 and 2013. Major taxa studied Rain forest plants. Methods In this study, we compare species and functional diversity patterns in pairs of remnant and regrowth (‘secondary’) rain forests spread across a 1,500 km climate and productivity gradient along the east coast of Australia. Our controlled natural experiment was designed to test the importance of regional species pool, system productivity, climate and landscape structure as drivers of species and functional diversity in regenerating forests. Notably, our study design allowed us to hold soil type, general forest type and disturbance history relatively constant in order to test our hypotheses effectively. Results Counter to expectations, few tested factors were strongly related to the recovery of species or functional diversity in regenerating Australian rain forests. The extent of local forest fragmentation was the only factor strongly related to differences between regrowth forests and primary forest remnants, and then only for functional diversity. We found no evidence that species diversity is a reasonable proxy for, or potential driver of, functional diversity patterns. Main conclusions Our findings suggest that forest functional recovery over decades is influenced more by regional landscape context than distinct assembly processes operating across climate and productivity gradients.
dc.relation.haspart doi:10.5061/dryad.k16gv/1
dc.relation.isreferencedby doi:10.1111/geb.12627
dc.subject Land-clearing
dc.subject Species diversity
dc.subject Functional trait
dc.subject Climate
dc.subject Australian rainforest
dc.subject Forest recovery
dc.subject Land-use change
dc.subject Succession
dc.title Data from: Landscape context explains changes in the functional diversity of regenerating forests better than climate or species richness
dc.type Article
dwc.ScientificName Acacia maidenii
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dwc.ScientificName Aceriatum sericoleopsis
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dwc.ScientificName Acronychia octandra
dwc.ScientificName Acronychia parviflora
dwc.ScientificName Acronychia vestita
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dwc.ScientificName Denhamia celastroides
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dwc.ScientificName Drypetes deplanchei
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dwc.ScientificName Dysoxylum fraserianum
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dwc.ScientificName Dysoxylum pettigrewianum
dwc.ScientificName Dysoxylum rufum
dwc.ScientificName Ehretia acuminata
dwc.ScientificName Elaeocarpus.grandis
dwc.ScientificName Elaeocarpus.kirtonii
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dwc.ScientificName Elattostachys.nervosa
dwc.ScientificName Elattostachys.xylocarpa
dwc.ScientificName Emmenosperma.alphitoniodes
dwc.ScientificName Endiandra.bessaphila
dwc.ScientificName Endiandra.compressa
dwc.ScientificName Endiandra.cowleyana
dwc.ScientificName Endiandra.crassiflora
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dwc.ScientificName Endiandra.wolfei
dwc.ScientificName Erythroxylon.sp.(Brewer.LA)
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dwc.ScientificName Firmiana.papuana
dwc.ScientificName Flindersia.brayleyana
dwc.ScientificName Flindersia.schottiana
dwc.ScientificName Fontainea.picrosperma
dwc.ScientificName Franciscodendron.laurifolium
dwc.ScientificName Garcinia.gibbsiae
dwc.ScientificName Geijera.salicifolia
dwc.ScientificName Geissois.benthamiana
dwc.ScientificName Glochidian.hylandii
dwc.ScientificName Glochidion.ferdinandi
dwc.ScientificName Gmelina.fasciculiflora
dwc.ScientificName Gossia.bidwilli
dwc.ScientificName Gossia.dallachania
dwc.ScientificName Gossia.shepherdii
dwc.ScientificName Guilfolya.monostylis
dwc.ScientificName Guioa.lasioneura
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dwc.ScientificName Haplostichanthus.johnsonii
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dwc.ScientificName Harpullia.rhyticarpa
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dwc.ScientificName Helicia.glabrifolia
dwc.ScientificName Hodgkinsonia.ovatiflora
dwc.ScientificName Hylandia.dockrillii
dwc.ScientificName Irvingbaileya.australis
dwc.ScientificName Jagera.pseudorhus
dwc.ScientificName Ligustrum.lucidum
dwc.ScientificName Ligustrum.sinense
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dwc.ScientificName Myrsine.variabilis
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dwc.ScientificName Neolitsea.dealbata
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dwc.ScientificName Niemeyera.prunifera
dwc.ScientificName Notolaea.longifolia
dwc.ScientificName Olea.paniculata
dwc.ScientificName Opisthiolepis.heterophylla
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dwc.ScientificName Orites.excelsus
dwc.ScientificName Pilidiostigma.glabrum
dwc.ScientificName Pilidiostigma.tropicum
dwc.ScientificName Pittosporum.multiflorum
dwc.ScientificName Pittosporum.rubiginosum
dwc.ScientificName Planchonella.myrsinodendron
dwc.ScientificName Polyalthia.nitidissima
dwc.ScientificName Polyosma.cunninghamii
dwc.ScientificName Polyscias.elegans
dwc.ScientificName Polyscias.murrayi
dwc.ScientificName Pouteria.australis
dwc.ScientificName Pouteria.brownlessiana
dwc.ScientificName Pouteria.xerocarpa
dwc.ScientificName Prunus.turneriana
dwc.ScientificName Pseuduvaria.hylandii
dwc.ScientificName Psydrax.odorata
dwc.ScientificName Quintinia.verdonii
dwc.ScientificName Rhodomyrtus.trineura.ssp.capensis
dwc.ScientificName Rockinghamia.angustifolia
dwc.ScientificName Sarcopteryx.stipata
dwc.ScientificName Schistocarpaea.johnsonii
dwc.ScientificName Scolopia.braunii
dwc.ScientificName Siphonodon.australis
dwc.ScientificName Siphonodon.membranaceous
dwc.ScientificName Sloanea.australis
dwc.ScientificName Sloanea.langii
dwc.ScientificName Sloanea.macbrydei
dwc.ScientificName Sloanea.woollsii
dwc.ScientificName Solanum.corifolium
dwc.ScientificName Solanum.mauritianum
dwc.ScientificName Steganthera.laxiflora
dwc.ScientificName Streblus.brunonianus
dwc.ScientificName Symplocos.hayesii
dwc.ScientificName Symplocos.paucistaminea
dwc.ScientificName Symplocos.thwaitesii
dwc.ScientificName Synoum.glandulosum
dwc.ScientificName Syzygium.australe
dwc.ScientificName Syzygium.crebrinerve
dwc.ScientificName Syzygium.gustavoides
dwc.ScientificName Syzygium.hemilamprum.hemilamprum
dwc.ScientificName Syzygium.hodgkinsoniae
dwc.ScientificName Syzygium.ingens
dwc.ScientificName Syzygium.mulgraveanum
dwc.ScientificName Syzygium.smithii
dwc.ScientificName Tabernaemontana.pandacaqui
dwc.ScientificName Tarenna.dallachiana
dwc.ScientificName Ternstroemia.cherryi
dwc.ScientificName Toechima.erythrocarpum
dwc.ScientificName Toona.ciliata
dwc.ScientificName Vanroyena.castanosperma
dwc.ScientificName Wilkiea.cordata
dwc.ScientificName Wilkiea.huegeliana
dwc.ScientificName Wilkiea.longipes
dwc.ScientificName Wilkiea.macrophylla
dwc.ScientificName Xanthophyllum.octandrum
dwc.ScientificName Zanthoxylum.ovaliflorum
dwc.ScientificName Zanthoxylum.veneficum
dc.contributor.correspondingAuthor Sams, Michael
prism.publicationName Global Ecology and Biogeography
dryad.dansTransferDate 2018-05-20T10:04:13.540+0000
dryad.dansEditIRI https://easy.dans.knaw.nl/sword2/container/ada2a427-34f0-4cd6-b0b3-02d32b90cfea
dryad.dansArchiveDate 2018-05-20T12:02:56.145+0000
dryad.dashTransferDate 2019-06-26T12:12:49.227+0000
dryad.dashStoredDate 2019-07-18T06:43:44.898+0000

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Title Sams_Mayfield_Rf1_All
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Description This file contains all of the data used in this paper. The file contains nine Excel sheets. The first is a summary of what is contained in each sheet and the remaining eight are pairs of metadata and raw data files. Each metadata sheet matches the name of the relevant datasheet. Data in this file include trait, climate, abundance and landscape data.
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