Arsenic speciation analysis was conducted on fish samples （sardine and anchovy） collected from six areas along the Greek coastline, i.e. Artemisium Straits, Thermaikos Gulf, Amvrakikos Gulf, Strymonian Gulf, Thracia...Arsenic speciation analysis was conducted on fish samples （sardine and anchovy） collected from six areas along the Greek coastline, i.e. Artemisium Straits, Thermaikos Gulf, Amvrakikos Gulf, Strymonian Gulf, Thracian Sea, and Elefsina Gulf. Total arsenic levels ranging from 11.8 to 62.6 mg As/kg dry weight were determined. Arsenobetaine, a non-toxic form of arsenic, was found to be the main arsenic species, present at 8.6 to 58.8 mg As/kg dry weight, accounting for 67--95% of the total arsenic. Also detected in all fish samples was dimethylarsinic acid, although at considerably lower concentrations, ranging from 0.072-3.956 mg As/kg dry weight. Monomethylarsonic acid was detected at low levels in all anchovy samples, and only in sardines from one area. Finally, inorganic arsenic in the form of arsenate was detected only in fish at one area, indicating the possible effect of an environmental parameter on its presence at detectable amounts. Statistical analysis revealed the environmental variables, such as salinity, total organic carbon and nitrogen, ammonium, phosphate, total phosphorus, dissolved oxygen and pressure index, are potentially correlated to As species concentrations. Furthermore, based on factor analysis, the biological parameters, such as fish weight, lipids, protein and ash content, that are correlated to As species concentrations of fish were also identified. The interrelationship of arsenobetaine and dimethylarsinic acid concentrations within each fish species was evaluated.展开更多
Background:Conservation of small and isolated populations can be challenging since they are prone to loss of genetic diversity due to random genetic drift and inbreeding.Therefore,information from the assessment of ge...Background:Conservation of small and isolated populations can be challenging since they are prone to loss of genetic diversity due to random genetic drift and inbreeding.Therefore,information from the assessment of genetic diversity and structure are needed for conservation programs to determine the appropriate management strategy for the populations.We investigated the levels of genetic variability in a resident Greylag Goose(Anser anser) population,the southernmost breeding population of the species in Europe and the sole viable population of any goose species in Greece.Methods:A fragment of mtDNA Control Region and a panel of 11 microsatellite markers were used to search for any signs of genetic impoverishment and population substructure and to reveal the underlying processes through the identification of possible past demographic events.Results:The population was found to be monomorphic in the amplified fragment of the mitochondrial Control Region,with all individuals sharing a single private haplotype.Analyses showed a lack of any population substructure indicating a panmictic population.Although the population seems to have experienced a strong and recent genetic bottleneck and exhibits a small effective population size,we did not find evidence of either extremely low levels of genetic diversity or inbreeding depression.Conclusions:The recent demographic decline we detected and the combined influence of residency and anthropogenic factors have probably shaped the current genetic status.Our study population does not need emergency conservation actions but should be regarded as a discrete management unit.Future management strategies should focus on population and genetic monitoring and preventing further abundance declines that would increase the risk of genetic impoverishment.展开更多
To tackle the planetary environmental and climate crisis and meet the United Nations’Sustainable Development Goals(SDGs),we must fully leverage the potential of Earth observations(EO).This involves integrating global...To tackle the planetary environmental and climate crisis and meet the United Nations’Sustainable Development Goals(SDGs),we must fully leverage the potential of Earth observations(EO).This involves integrating globally sourced data on the atmosphere,hydrosphere,cryosphere,lithosphere,along with ecological and socio-economic information.By harmonizing and integrating these diverse data sources,we can more effectively incorporate observational data into multi-scale modeling and artificial intelligence(AI)frameworks.This paper is based on discussions from the“Towards Global Earth Observatory”workshop held from May 8-10,2023,organized by the World Meteorological Organization(WMO)and the Atmosphere and Climate Competence Center(ACCC),in collaboration with the Institute for Atmospheric and Earth System Research(INAR)at the University of Helsinki.The current state of EO and data repositories is fragmented,highlighting the need for a more integrated approach to establish a new global Ground-Based Earth Observatory(GGBEO).Here,we summarize the current status of selected in-situ and ground-based remote sensing observation systems and outline future actions and recommendations to meet scientific,societal,and economic needs.In addition,we identify key steps to create a coordinated and comprehensive GGBEO system that leverages existing investments,networks,and infrastructures.This system would integrate regional and global ground-based in situ and remote sensing systems,marine,and airborne observational data.An integrated approach should aim for seamless coordination,interoperable and harmonized data repositories,easily searchable and accessible data,and sustainable long-term funding.展开更多
基金supported by the Greek National Fisheries Data Collection ProgramSpecial Account for Research–University of Crete for the funding of a Type B research grant
文摘Arsenic speciation analysis was conducted on fish samples （sardine and anchovy） collected from six areas along the Greek coastline, i.e. Artemisium Straits, Thermaikos Gulf, Amvrakikos Gulf, Strymonian Gulf, Thracian Sea, and Elefsina Gulf. Total arsenic levels ranging from 11.8 to 62.6 mg As/kg dry weight were determined. Arsenobetaine, a non-toxic form of arsenic, was found to be the main arsenic species, present at 8.6 to 58.8 mg As/kg dry weight, accounting for 67--95% of the total arsenic. Also detected in all fish samples was dimethylarsinic acid, although at considerably lower concentrations, ranging from 0.072-3.956 mg As/kg dry weight. Monomethylarsonic acid was detected at low levels in all anchovy samples, and only in sardines from one area. Finally, inorganic arsenic in the form of arsenate was detected only in fish at one area, indicating the possible effect of an environmental parameter on its presence at detectable amounts. Statistical analysis revealed the environmental variables, such as salinity, total organic carbon and nitrogen, ammonium, phosphate, total phosphorus, dissolved oxygen and pressure index, are potentially correlated to As species concentrations. Furthermore, based on factor analysis, the biological parameters, such as fish weight, lipids, protein and ash content, that are correlated to As species concentrations of fish were also identified. The interrelationship of arsenobetaine and dimethylarsinic acid concentrations within each fish species was evaluated.
基金supported financially by the MAVA Foundationpartly funded through a grant by the Green Fund of the Hellenic Ministry of Environment and Energy+2 种基金a grant by the Bodosaki Foundationtwo grants by two groups of Dutch naturalistsled by the biologist Gerrit Jansen("Nature Workshops Gerrit Jansen")
文摘Background:Conservation of small and isolated populations can be challenging since they are prone to loss of genetic diversity due to random genetic drift and inbreeding.Therefore,information from the assessment of genetic diversity and structure are needed for conservation programs to determine the appropriate management strategy for the populations.We investigated the levels of genetic variability in a resident Greylag Goose(Anser anser) population,the southernmost breeding population of the species in Europe and the sole viable population of any goose species in Greece.Methods:A fragment of mtDNA Control Region and a panel of 11 microsatellite markers were used to search for any signs of genetic impoverishment and population substructure and to reveal the underlying processes through the identification of possible past demographic events.Results:The population was found to be monomorphic in the amplified fragment of the mitochondrial Control Region,with all individuals sharing a single private haplotype.Analyses showed a lack of any population substructure indicating a panmictic population.Although the population seems to have experienced a strong and recent genetic bottleneck and exhibits a small effective population size,we did not find evidence of either extremely low levels of genetic diversity or inbreeding depression.Conclusions:The recent demographic decline we detected and the combined influence of residency and anthropogenic factors have probably shaped the current genetic status.Our study population does not need emergency conservation actions but should be regarded as a discrete management unit.Future management strategies should focus on population and genetic monitoring and preventing further abundance declines that would increase the risk of genetic impoverishment.
基金supported by the Atmosphere and Climate Competence Center(ACCC)Flagship,funded by the Research Council of Finland(Contract No(s).337549,357902,359340).
文摘To tackle the planetary environmental and climate crisis and meet the United Nations’Sustainable Development Goals(SDGs),we must fully leverage the potential of Earth observations(EO).This involves integrating globally sourced data on the atmosphere,hydrosphere,cryosphere,lithosphere,along with ecological and socio-economic information.By harmonizing and integrating these diverse data sources,we can more effectively incorporate observational data into multi-scale modeling and artificial intelligence(AI)frameworks.This paper is based on discussions from the“Towards Global Earth Observatory”workshop held from May 8-10,2023,organized by the World Meteorological Organization(WMO)and the Atmosphere and Climate Competence Center(ACCC),in collaboration with the Institute for Atmospheric and Earth System Research(INAR)at the University of Helsinki.The current state of EO and data repositories is fragmented,highlighting the need for a more integrated approach to establish a new global Ground-Based Earth Observatory(GGBEO).Here,we summarize the current status of selected in-situ and ground-based remote sensing observation systems and outline future actions and recommendations to meet scientific,societal,and economic needs.In addition,we identify key steps to create a coordinated and comprehensive GGBEO system that leverages existing investments,networks,and infrastructures.This system would integrate regional and global ground-based in situ and remote sensing systems,marine,and airborne observational data.An integrated approach should aim for seamless coordination,interoperable and harmonized data repositories,easily searchable and accessible data,and sustainable long-term funding.
