Cargando…
A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia)
Abstract. BACKGROUND: Using this dataset, we examined the global geographical distributions of Solenidae species in relation to their endemicity, species richness and latitudinal ranges and then predicted their distributions under future climate change using species distribution modelling techniques...
Autores principales: | , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Pensoft Publishers
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367310/ https://www.ncbi.nlm.nih.gov/pubmed/30740024 http://dx.doi.org/10.3897/BDJ.7.e31375 |
_version_ | 1783393763006087168 |
---|---|
author | Saeedi, Hanieh Costello, Mark J |
author_facet | Saeedi, Hanieh Costello, Mark J |
author_sort | Saeedi, Hanieh |
collection | PubMed |
description | Abstract. BACKGROUND: Using this dataset, we examined the global geographical distributions of Solenidae species in relation to their endemicity, species richness and latitudinal ranges and then predicted their distributions under future climate change using species distribution modelling techniques (Saeedi et al. 2016a, Saeedi et al. 2016b). We found that the global latitudinal species richness in Solenidae is bi-modal, dipping at the equator most likely derived by high sea surface temperature (Saeedi et al. 2016b). We also found that most of the Solenidae species will shift their distribution ranges polewards due to global warming (Saeedi et al. 2016a). We also provided a comprehensive review of the taxon to test whether the latitudinal gradient in species richness was uni-modal with a peak in the tropics or northern hemisphere or asymmetric and bimodal as proposed previously (Chaudhary et al. 2016). NEW INFORMATION: This paper presents an integrated global geographic distribution dataset for 77 Solenidae taxa, including 3,034 geographic distribution records. This dataset was compiled after a careful data-collection and cleaning procedure over four years. Data were collected using field sampling, literature and from open-access databases. Then all the records went through quality control procedures such as validating the taxonomy of the species by examining and re-identifying the specimens in museum collections and using taxonomic and geographic data quality control tools in the World Register of Marine Species (WoRMS) and the r-OBIS package (Provoost and Bosch 2017). This dataset can thus be further used for taxonomical and biogeographical studies of Solenidae. |
format | Online Article Text |
id | pubmed-6367310 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Pensoft Publishers |
record_format | MEDLINE/PubMed |
spelling | pubmed-63673102019-02-08 A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) Saeedi, Hanieh Costello, Mark J Biodivers Data J Data Paper (Biosciences) Abstract. BACKGROUND: Using this dataset, we examined the global geographical distributions of Solenidae species in relation to their endemicity, species richness and latitudinal ranges and then predicted their distributions under future climate change using species distribution modelling techniques (Saeedi et al. 2016a, Saeedi et al. 2016b). We found that the global latitudinal species richness in Solenidae is bi-modal, dipping at the equator most likely derived by high sea surface temperature (Saeedi et al. 2016b). We also found that most of the Solenidae species will shift their distribution ranges polewards due to global warming (Saeedi et al. 2016a). We also provided a comprehensive review of the taxon to test whether the latitudinal gradient in species richness was uni-modal with a peak in the tropics or northern hemisphere or asymmetric and bimodal as proposed previously (Chaudhary et al. 2016). NEW INFORMATION: This paper presents an integrated global geographic distribution dataset for 77 Solenidae taxa, including 3,034 geographic distribution records. This dataset was compiled after a careful data-collection and cleaning procedure over four years. Data were collected using field sampling, literature and from open-access databases. Then all the records went through quality control procedures such as validating the taxonomy of the species by examining and re-identifying the specimens in museum collections and using taxonomic and geographic data quality control tools in the World Register of Marine Species (WoRMS) and the r-OBIS package (Provoost and Bosch 2017). This dataset can thus be further used for taxonomical and biogeographical studies of Solenidae. Pensoft Publishers 2019-01-31 /pmc/articles/PMC6367310/ /pubmed/30740024 http://dx.doi.org/10.3897/BDJ.7.e31375 Text en Hanieh Saeedi, Mark Costello http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Data Paper (Biosciences) Saeedi, Hanieh Costello, Mark J A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title | A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title_full | A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title_fullStr | A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title_full_unstemmed | A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title_short | A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia) |
title_sort | world dataset on the geographic distributions of solenidae razor clams (mollusca: bivalvia) |
topic | Data Paper (Biosciences) |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6367310/ https://www.ncbi.nlm.nih.gov/pubmed/30740024 http://dx.doi.org/10.3897/BDJ.7.e31375 |
work_keys_str_mv | AT saeedihanieh aworlddatasetonthegeographicdistributionsofsolenidaerazorclamsmolluscabivalvia AT costellomarkj aworlddatasetonthegeographicdistributionsofsolenidaerazorclamsmolluscabivalvia AT saeedihanieh worlddatasetonthegeographicdistributionsofsolenidaerazorclamsmolluscabivalvia AT costellomarkj worlddatasetonthegeographicdistributionsofsolenidaerazorclamsmolluscabivalvia |