Literature DB >> 30825817

Modelling the effects of climate change on the distribution of benthic indicator species in the Eastern Mediterranean Sea.

Manos L Moraitis1, Vasilis D Valavanis2, Ioannis Karakassis3.   

Abstract

The potential effects of climate change on the distribution of benthic species commonly used in marine ecological quality assessment were investigated using a spatial modelling approach. In this work, the relevance of the ecological groups that macrofaunal molluscs are assigned according to their sensitivity or tolerance to environmental disturbance was examined under the scope of the RCP 8.5 severe emissions scenario. The effects of climate change were more profound on species that are indicative of a specific suite of climatic conditions regarding temperature and salinity. Significant loss of habitat suitability was observed for the tolerant species Corbula gibba and Abra prismatica whereas the sensitive species Moerella donacina was least affected. In contrast, an overall expansion of the distributional potential was observed for the sensitive species Flexopecten hyalinus as newly suitable habitats are formed. As hypothesised, the current ecological grouping that depicts the sensitivity of a benthic species to an environmental stressor is irrelevant when assessing the effects of climate change. We propose a new standpoint of using benthic species as biotic tools based on their ecological niche requirements.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Benthos; Climate change; Ecological groups; Indicator species; Macrofauna; Species distribution modelling

Mesh:

Year:  2019        PMID: 30825817     DOI: 10.1016/j.scitotenv.2019.02.338

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  Ecological modeling of Cistanche deserticola Y.C. Ma in Alxa, China.

Authors:  Ziyan Li; Chunhong Zhang; Guanyao Ren; Min Yang; Shoudong Zhu; Minhui Li
Journal:  Sci Rep       Date:  2019-09-11       Impact factor: 4.379

  1 in total

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