scholarly journals A world dataset on the geographic distributions of Solenidae razor clams (Mollusca: Bivalvia)

2019 ◽  
Vol 7 ◽  
Author(s):  
Hanieh Saeedi ◽  
Mark Costello
Keyword(s):  
Quality Control ◽  
Species Richness ◽  
Geographic Distribution ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Future Climate Change ◽  
Data Quality Control ◽  
Distribution Ranges ◽  
Control Procedures ◽  
Razor Clams

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). 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.

scholarly journals Predicted Future Benefits for an Endemic Rodent in the Irano-Turanian Region

Climate ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 16
Author(s):  
Suzanna Meeussen ◽  
Anouschka Hof
Keyword(s):  
Climate Change ◽  
Climate Models ◽  
Species Distribution Modelling ◽  
Geographic Range ◽  
Future Climate ◽  
Future Climate Change ◽  
Distribution Ranges ◽  
Bioclimatic Variables ◽  
Suitable Area ◽  
The Impact

Climate change is expected to have an impact on the geographical distribution ranges of species. Endemic species and those with a restricted geographic range may be especially vulnerable. The Persian jird (Meriones persicus) is an endemic rodent inhabiting the mountainous areas of the Irano-Turanian region, where future desertification may form a threat to the species. In this study, the species distribution modelling algorithm MaxEnt was used to assess the impact of future climate change on the geographic distribution range of the Persian jird. Predictions were made under two Representative Concentration Pathways and five different climate models for the years 2050 and 2070. It was found that both bioclimatic variables and land use variables were important in determining potential suitability of the region for the species to occur. In most cases, the future predictions showed an expansion of the geographic range of the Persian jird which indicates that the species is not under immediate threat. There are however uncertainties with regards to its current range. Predictions may therefore be an over or underestimation of the total suitable area. Further research is thus needed to confirm the current geographic range of the Persian jird to be able to improve assessments of the impact of future climate change.

scholarly journals Mapping marine species richness and endemicity at global scales

2018 ◽  
Author(s):  
Mark J Costello ◽  
Tri Arifanti ◽  
Chhaya Chaudhary ◽  
Dinusha Jayathilake ◽  
Han-Yang Lin ◽  
...  
Keyword(s):  
Species Richness ◽  
Environmental Variables ◽  
Marine Species ◽  
Marine Biodiversity ◽  
Ecological Interactions ◽  
Global Pattern ◽  
Global Context ◽  
Evolutionary Origins ◽  
Habitat Variation ◽  
Razor Clams

Understanding biodiversity at local and regional requires a global context. This talk presents the global pattern of marine species richness and endemicity, including latitude and depth. We compare maps of marine species endemicity across all taxa (65,000 species), and particular taxa (razor clams, amphipods, polychaetes, seagrass, jellyfish, bryozoans, fish), with a new map of marine ecosystems based on analysis of 20 environmental variables. We show how species richness increases with temperature but dips at the equator, and decreases with depth. Thirty biogeographic realms are distinguished based on species endemicity, with more in coastal than offshore areas. Species richness and endemicity are higher in benthic than pelagic taxa, and macro- than micro- and mega-fauna. However, we should expect individual taxa to vary from these overall patterns due to their evolutionary origins and competition with other taxa; and patterns within geographic regions to vary due to constancy of some environmental variables (e.g. temperature) and local scale habitat variation. Thus nesting of taxon and regional studies within this global context may indicate how ecological interactions have shaped the global evolution of marine biodiversity.

scholarly journals Mapping marine species richness and endemicity at global scales

2018 ◽  
Author(s):  
Mark J Costello ◽  
Tri Arifanti ◽  
Chhaya Chaudhary ◽  
Dinusha Jayathilake ◽  
Han-Yang Lin ◽  
...  
Keyword(s):  
Species Richness ◽  
Environmental Variables ◽  
Marine Species ◽  
Marine Biodiversity ◽  
Ecological Interactions ◽  
Global Pattern ◽  
Global Context ◽  
Evolutionary Origins ◽  
Habitat Variation ◽  
Razor Clams

Understanding biodiversity at local and regional requires a global context. This talk presents the global pattern of marine species richness and endemicity, including latitude and depth. We compare maps of marine species endemicity across all taxa (65,000 species), and particular taxa (razor clams, amphipods, polychaetes, seagrass, jellyfish, bryozoans, fish), with a new map of marine ecosystems based on analysis of 20 environmental variables. We show how species richness increases with temperature but dips at the equator, and decreases with depth. Thirty biogeographic realms are distinguished based on species endemicity, with more in coastal than offshore areas. Species richness and endemicity are higher in benthic than pelagic taxa, and macro- than micro- and mega-fauna. However, we should expect individual taxa to vary from these overall patterns due to their evolutionary origins and competition with other taxa; and patterns within geographic regions to vary due to constancy of some environmental variables (e.g. temperature) and local scale habitat variation. Thus nesting of taxon and regional studies within this global context may indicate how ecological interactions have shaped the global evolution of marine biodiversity.

scholarly journals Impacts of climate change and species distribution modelling: Future scenarios to invasive alien lionfish distribution in the Mediterranean Sea

2019 ◽  
Vol 3 ◽  
Author(s):  
Cemal Turan
Keyword(s):  
Species Richness ◽  
Mediterranean Sea ◽  
Species Distribution ◽  
Marine Species ◽  
Species Distribution Modelling ◽  
Climatic Data ◽  
Niche Modelling ◽  
Distribution Modelling ◽  
Pterois Miles ◽  
The Mediterranean

The progress on species distribution modelling (SDM) methods has brought new insights into the field of biological invasion management. In particular, statistical niche modelling, for spatio-temporal predictions of marine species’ distribution, is an increasingly used tool, supporting efficient decision-making for prevention and conservation. Earth's climate has changed significantly in the last century and the number of alien species penetrating from Indo-Pacific Ocean and South part of the Atlantic in the Mediterranean will continue to increase over the next decades. The purpose of the present study was to predict the potential geographic distribution and expansion of invasive alien lionfish (Pterois miles and Pterois volitans) with ecological niche modelling along the Mediterranean Sea. Temporal and spatial occurrence data from the first occurrence of a species for each country with coast along the Mediterranean Sea, was used to develop robust predictions of species richness, since the capacity to predict spatial patterns of species richness remains largely unassessed in this region. Marine climatic data layers were collected from the Bio-ORACLE and MARSPEC global databases. Different statistical models were evaluated to establish if these could provide useful predictions of absolute and relative lionfish distribution and expansion. The findings are an important step towards validating the use of SDM for invasive alien lionfish in the Mediterranean Sea.

scholarly journals Thoughts on quality-control systems: a laboratorian’s perspective

1997 ◽  
Vol 43 (5) ◽  
pp. 886-892 ◽  
Author(s):  
George S Cembrowski
Keyword(s):  
Quality Control ◽  
Control Systems ◽  
Clinical Laboratory ◽  
Control Algorithms ◽  
Data Quality Control ◽  
Nondestructive Quality Control ◽  
Quality Control Testing ◽  
Control Procedures ◽  
Nondestructive Quality ◽  
Control Limits

Abstract State-of-the-art prospective quality-control systems entail the use of medically relevant, analyte-specific quality control limits. With analyte-specific limits broader than those generally used in the clinical laboratory, there will be fewer false rejections, fewer unnecessary reanalyses, and shorter delays in run reporting. If the analyte-specific limits are narrower than those used in the laboratory, more errors will be detected, but the user is at risk of identifying errors over which s/he and the manufacturer have little control. The use of various patient data quality-control algorithms is described. Conservatism is stressed in adopting manufacturers’ guidelines for surrogate, nondestructive quality-control testing. A simple, optimized approach is suggested for the systematic retrospective review of proficiency data. Finally, an approach is presented for converting from older, previously accepted quality control procedures to more efficient analyte-specific quality control.

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