Predicting current and future global distribution of black rockfish (Sebastes schlegelii) under changing climate

Changes in the marine environment, particularly climate change, can have large effects on the distribution patterns of various marine species, and alter the biodiversity, structure and functions of the affected ecosystems. Species distribution models (SDM) are tools often used to link species’ ecolo...

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Bibliographic Details
Main Authors: Chen, Y. (Author), Dai, F. (Author), Jin, X. (Author), Ovando, D. (Author), Shan, X. (Author), Yang, T. (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2021
Subjects:
Online Access:View Fulltext in Publisher
LEADER 03726nam a2200685Ia 4500
001 10.1016-j.ecolind.2021.107799
008 220427s2021 CNT 000 0 und d
020 |a 1470160X (ISSN) 
245 1 0 |a Predicting current and future global distribution of black rockfish (Sebastes schlegelii) under changing climate 
260 0 |b Elsevier B.V.  |c 2021 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1016/j.ecolind.2021.107799 
520 3 |a Changes in the marine environment, particularly climate change, can have large effects on the distribution patterns of various marine species, and alter the biodiversity, structure and functions of the affected ecosystems. Species distribution models (SDM) are tools often used to link species’ ecological niches with their environment. We applied SDM to investigate the effects of five biologically relevant climatic variables from multiple databases, including bottom temperature, bottom salinity, current velocity, depth and primary productivity, on habitat suitability of Sebastes schlegelii in the marine waters of China, Korea and Japan. Nine individual SDM and an ensemble model were used to predict the current and future distribution of S. schlegelii under alternative climate change scenarios (Representative Concentration Pathways, RCP). Results indicated that the ensemble model produced more accurate projections than any individual model. Among the environmental variables investigated, bottom temperature was the most important in determining the range of S. schlegelii. Its current distribution demonstrated that suitable habitat for S. schlegelii was mostly concentrated in the Bohai Sea, coastal areas of the central and northern Yellow Sea, and in the Sea of Japan. Negative effects from climate change on the distribution patterns of S. schlegelii were predicted to lead to varying degrees of habitat reduction, with highest estimate of 45% occurring under RCP8.5 at the end of 2100. Our results illustrate the potential effects of climate change on the future distribution of S. schlegelii populations and can assist with implementing adaptive management measures of this species. © 2021 The Authors 
650 0 4 |a adaptive management 
650 0 4 |a biodiversity 
650 0 4 |a Biodiversity 
650 0 4 |a Bohai Sea 
650 0 4 |a Bottom temperature 
650 0 4 |a China 
650 0 4 |a climate change 
650 0 4 |a Climate change 
650 0 4 |a climate effect 
650 0 4 |a Climate models 
650 0 4 |a Demersal fish 
650 0 4 |a Demersal fish 
650 0 4 |a Distribution patterns 
650 0 4 |a ecosystem function 
650 0 4 |a ecosystem structure 
650 0 4 |a Ecosystems 
650 0 4 |a Ensemble models 
650 0 4 |a fish 
650 0 4 |a future prospect 
650 0 4 |a geographical distribution 
650 0 4 |a Global distribution 
650 0 4 |a global perspective 
650 0 4 |a Habitat suitability 
650 0 4 |a Habitat suitability 
650 0 4 |a Japan 
650 0 4 |a Korea 
650 0 4 |a marine environment 
650 0 4 |a Multi-model ensemble technique 
650 0 4 |a Multi-model ensemble techniques 
650 0 4 |a Pacific Ocean 
650 0 4 |a Population distribution 
650 0 4 |a Predicting currents 
650 0 4 |a prediction 
650 0 4 |a Sea of Japan 
650 0 4 |a Sebastes 
650 0 4 |a Sebastes melanops 
650 0 4 |a Sebastes schlegelii 
650 0 4 |a Species distribution modeling 
650 0 4 |a Species distribution models 
650 0 4 |a Yellow Sea 
650 0 4 |a Yellow Sea 
700 1 |a Chen, Y.  |e author 
700 1 |a Dai, F.  |e author 
700 1 |a Jin, X.  |e author 
700 1 |a Ovando, D.  |e author 
700 1 |a Shan, X.  |e author 
700 1 |a Yang, T.  |e author 
773 |t Ecological Indicators