Cross-taxonomic surrogates for biodiversity conservation in human-modified landscapes – A multi-taxa approach

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dc.contributor.authorYong, Ding Lien_AU
dc.contributor.authorBarton, Philip Sen_AU
dc.contributor.authorIkin, Karenen_AU
dc.contributor.authorEvans, Maldwynen_AU
dc.contributor.authorCrane, Masonen_AU
dc.contributor.authorOkada, Sachikoen_AU
dc.contributor.authorCunningham, Saul Cen_AU
dc.contributor.authorLindenmayer, David Ben_AU
dc.date.accessioned2018-12-20T03:35:46Z
dc.date.issued2018-06-21
dc.description.abstractCross-taxonomic surrogates are often used in conservation planning because inventorying large suites of taxa is either not feasible or too costly. However, cross-taxonomic surrogates are seldom tested rigorously using both correlational and representation-based approaches at the spatial scales at which conservation management occurs. Here, we evaluated the effectiveness of five ecologically contrasting taxa (birds, herpetofauna, wild bees, beetles, trees) as cross-taxonomic surrogates in native woodland patches within a heavily modified, farming and plantation-dominated landscape. We first compared species richness and compositional heterogeneity across taxa before testing for cross-taxonomic congruence using a correlative approach. We then quantified how well each taxon incidentally represented other taxa in their best patch sets, and the costs of doing so using a complementarity-based approach. We found significant pairwise associations between some taxa (birds, bees), but no single taxon was strongly correlated with all other taxa. Woodland patch sets prioritised for beetles represented other taxa best, followed by birds, but were the costliest and required the largest amount of woodland. This contrasted with patch sets prioritised for wild bees or herpetofauna, which achieved higher representation of other taxa at lower costs. Our study highlighted the influence of taxon-specific patterns of diversity and heterogeneity on how remnant vegetation patches should be prioritised for conservation, a consideration not immediately obvious in correlative analyses of surrogacy. Second, taxa that are not the most speciose (e.g. wild bees) can be efficient surrogates for other taxa, achieving higher incidental representation at lower costs. Thus, while species-rich taxa are ideal as surrogates for prioritising conservation, conservation planners should not overlook the potential of less speciose taxa such as bees, while considering the cost-effectiveness of surveying multiple different taxa.en_AU
dc.description.sponsorshipDLY is supported by the Lesslie Foundation and an Australian National University Postgraduate Scholarship. DBL is supported by an Australian Research Council Laureate Fellowship.en_AU
dc.identifier.citationYong, D.L., Barton, P.S., Ikin, K., Evans, M.J., Crane, M., Okada, S., Cunningham, S.A. and Lindenmayer, D.B. (2018). Cross-taxonomic surrogates for biodiversity conservation in human-modified landscapes – A multi-taxa approach. Biological Conservation, 224, 336-346.en_AU
dc.identifier.issn0006-3207en_AU
dc.identifier.urihttp://hdl.handle.net/1885/154765
dc.provenancehttp://www.sherpa.ac.uk/romeo/issn/0006-3207/..."Author's post-print on open access repository after an embargo period of between 12 months and 48 months" from SHERPA/RoMEO site (as at 20/12/18).en_AU
dc.publisherElsevieren_AU
dc.rights© 2018 Published by Elsevier Ltd.en_AU
dc.rights.licenseThis manuscript version is made available under the CC-BY-NC-ND 4.0 licenseen_AU
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_AU
dc.sourceBiological Conservationen_AU
dc.subjectComplementarityen_AU
dc.subjectcompositional heterogeneityen_AU
dc.subjectfarmland biodiversityen_AU
dc.subjectincidental representationen_AU
dc.subjectindicatorsen_AU
dc.subjectsystematic conservation planningen_AU
dc.titleCross-taxonomic surrogates for biodiversity conservation in human-modified landscapes – A multi-taxa approachen_AU
dc.typeJournal articleen_AU
dcterms.accessRightsOpen Accessen_AU
local.bibliographicCitation.lastpage346en_AU
local.bibliographicCitation.startpage336en_AU
local.contributor.affiliationYong, D. L., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationBarton, P. S., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationIkin, K., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationEvans, M. J., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationCrane, M. J., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationOkada, S., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationCunningham, S. C., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.affiliationLindenmayer, D. B., Fenner School of Environment and Society, The Australian National Universityen_AU
local.contributor.authoremailding.li@anu.edu.auen_AU
local.contributor.authoremaildavid.lindenmayer@anu.edu.auen_AU
local.contributor.authoremailzoothera@yahoo.comen_AU
local.contributor.authoruidu5277239en_AU
local.contributor.authoruidu8808483en_AU
local.identifier.citationvolume224en_AU
local.identifier.doi10.1016/j.biocon.2018.06.008en_AU
local.identifier.uidSubmittedByu4911160en_AU
local.type.statusAccepted Versionen_AU

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