Show simple item record

dc.contributor.authorSinger, A.
dc.contributor.authorJohst, K.
dc.contributor.authorBanitz, T.
dc.contributor.authorFowler, M.S.
dc.contributor.authorGroeneveld, J.
dc.contributor.authorGutierrez, A.G.
dc.contributor.authorHartig, F.
dc.contributor.authorKrug, R.M.
dc.contributor.authorLiess, M.
dc.contributor.authorMatlack, G.
dc.contributor.authorMeyer, K.M.
dc.contributor.authorPe'er, G.
dc.contributor.authorRadchuk, V.
dc.contributor.authorVoinopol-Sassu, A.J.
dc.contributor.authorTravis, J.M.J.
dc.date.accessioned2016-08-25T11:06:54Z
dc.date.available2016-08-25T11:06:54Z
dc.date.issued2016
dc.identifier.citationSinger, A.; Johst, K.; Banitz, T.; Fowler, M.S.; Groeneveld, J.; Gutierrez, A.G.; Hartig, F.; Krug, R.M.; Liess, M.; Matlack, G.; Meyer, K.M.; Pe’er, G.; Radchuk, V.; Voinopol-Sassu, A.J.; Travis, J.M.J. (2016) Community dynamics under environmental change: How can next generation mechanists models improve projections of species distributions? Ecological Modelling, 326: 63-74 DOI: 10.1016/j.ecolmodel.2015.11.007en
dc.identifier.issn0304-3800en
dc.identifier.urihttp://hdl.handle.net/123456789/2079
dc.description.abstractEnvironmental change is expected to shift the geographic range of species and communities. Toestimate the consequences of these shifts for the functioning and stability of ecosystems, reliable predictions of alterations in species distributions are needed. Projections with correlative species distribution models, which correlate species’ distributions to the abiotic environment, have become astandard approach. Criticism of this approach centres around the omission of relevant biotic feedbacks and triggered the search for alternatives. A new generation of mechanistic process-based species distribution models aims at implementing formulations of relevant biotic processes to coverspecies’ life histories, physiology, dispersal abilities, evolution, and both intra- and interspecific interactions. Although this step towards more structural realism is considered important, it remains unclear whether the resulting projections are more reliable. Structural realism has the advantage that geographic range shifting emerges from the interplay of relevant abiotic and biotic processes. Having implemented the relevant response mechanisms, structural realistic models should better tackle the challenge of generating projections of species responses to (non-analogous) environmental change. However, reliable projections of future species ranges demand ecological information that is currently only available for few species. In this opinion paper, we discuss how the discrepancy between demand for structural realism on the one hand and the related knowledge gaps on the other hand affects the reliability of mechanistic species distribution models. We argue that omission of relevant processes potentially impairs projection accuracy (proximity of the mean outcome to the truevalue), particularly if species range shifts emerge from species and community dynamics. Yet, insufficient knowledge that limits model specification and parameterization, as well as process complexity, increases projection uncertainty (variance in the outcome of simulated model projections). The accuracy–uncertainty-relation reflects current limits to delivering reliable projections of range shifts. We propose a protocol to improve and communicate projection reliability. The protocol combines mod-elling and empirical research to efficiently fill critical knowledge gaps that currently limit the reliability of species and community projections.en
dc.format.extent1502243 bytes
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherElsevier B.V.en
dc.subjectPredictionen
dc.subjectBiasen
dc.subjectPrecisionen
dc.subjectSpecies interactionen
dc.subjectSDMen
dc.subjectProtocolen
dc.subjectUncertaintyen
dc.titleCommunity dynamics under environmental change: How can next generation mechanists models improve projections of species distributions?en
dc.typeJournalArticlesen
dc.cibjournalEcological Modellingen
dc.cibprojectNAen


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record