Logo do repositório
 
Publicação

Using species distribution model to predict the impact of climate change on the potential distribution of Japanese whiting Sillago japonica

dc.contributor.authorZhang, Zhixin
dc.contributor.authorXu, Shengyong
dc.contributor.authorCapinha, César
dc.contributor.authorWeterings, Robbie
dc.contributor.authorGao, Tianxiang
dc.date.accessioned2020-04-07T16:35:05Z
dc.date.available2020-04-07T16:35:05Z
dc.date.issued2019
dc.description.abstractClimate change is one of the most serious global environmental problems and it is of great importance to understand how species respond to climate change. Species distribution models (SDMs) have been regarded as an effective tool to examine the impacts of climate change on species’ potential distribution. In this study, we developed a SDM for a marine fish, the Japanese whiting Sillago japonica by using records of its occurrence and five predictor variables (ocean depth, distance to shore, mean sea surface temperature, salinity, and currents velocity) and predicted its habitat suitability for current conditions and under scenarios of future climates. The SDM suggests that ocean depth, distance to shore, and temperature are the three most important predictor variables determining the distribution of S. japonica. Our SDM accurately predicted the current distribution of the species, with values of true skill statistics and area under the receiver operating characteristic curve above 0.95. Under future climate scenarios, the suitable habitat of S. japonica is predicted to become smaller in size and to shift northward. Differences between climate change scenarios for 2040–2050 and 2090–2100 showed that this species will lose more suitable habitat as climate change progresses over time. Future fisheries management strategies should take this range contraction and associated northward shift into account.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationZhang, Z., Xu, S., Capinha, C., Weterings, R., & Gao, T. (2019). Using species distribution model to predict the impact of climate change on the potential distribution of Japanese whiting Sillago japonica. Ecological indicators, 104, 333-340. https://doi.org/10.1016/j.ecolind.2019.05.023pt_PT
dc.identifier.doi10.1016/j.ecolind.2019.05.023pt_PT
dc.identifier.eissn1872-7034
dc.identifier.issn1470-160X
dc.identifier.urihttp://hdl.handle.net/10451/42747
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S1470160X19303681?via%3Dihubpt_PT
dc.subjectSpecies distribution modellingpt_PT
dc.subjectClimate changept_PT
dc.subjectSillago japonicapt_PT
dc.subjectPoleward movementpt_PT
dc.subjectRange shiftpt_PT
dc.titleUsing species distribution model to predict the impact of climate change on the potential distribution of Japanese whiting Sillago japonicapt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage340pt_PT
oaire.citation.startPage333pt_PT
oaire.citation.titleEcological Indicatorspt_PT
oaire.citation.volume104pt_PT
person.familyNameCapinha
person.givenNameCésar
person.identifier.ciencia-id7714-2A88-CDE3
person.identifier.orcid0000-0002-0666-9755
person.identifier.ridK-6439-2017
person.identifier.scopus-author-id32867555000
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication4c666e7e-4ba8-4a41-8064-d26b3b9fc0f8
relation.isAuthorOfPublication.latestForDiscovery4c666e7e-4ba8-4a41-8064-d26b3b9fc0f8

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Zhanga_Xub_CésarCapinha_2019.pdf
Tamanho:
2.49 MB
Formato:
Adobe Portable Document Format
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.2 KB
Formato:
Item-specific license agreed upon to submission
Descrição: