140 research outputs found
The intertidal macrobenthic fauna of the Hatakejima Experimental Field, Wakayama Prefecture, Japan, in 2019
ใใกใคใซๅทฎใๆฟใ๏ผ2021-05-17๏ผHatakejima Experimental Field is located in Tanabe Bay, Wakayama Prefecture, Japan, which is composed of Hatakejima Island and Komarujima Islet, connected to the former in low tide. Hatakejima Island was purchased by Kyoto University and was designated as the โHatakejima Experimental Fieldโ in 1968. The year 2019 marks the 50th year of the long-term surveys that have been formally conducted on the experimental field since 1969 (i.e., the Century of Research Project). We conducted a field survey to record the macrobenthic fauna of the experimental field in 2019. A total of 168 species of 11 phyla were recorded in this survey. In each phylum, the number of species is listed as follows in descending order: Mollusca (78 spp.), Arthropoda (27 spp.), Echinodermata (23 spp.), Annelida (21 spp.), Cnidaria (7 spp.), Porifera (3 spp.), Nemertea (3 spp.), Platyhelminthes (2 spp.), Chordata (2 spp.), Bryozoa (1 sp.), and Hemichordata (1 sp.). We also recorded and discussed the influence of recent environmental changes around the Hatakejima Experimental Field. Tropical sea urchin species disappeared in the winter of 2017โ2018 following the large meander of the Kuroshio Current, which led to decreasing water temperatures. The population of the seagrass Zostera japonica drastically decreased on the western sandy shore of the island in 2019, most likely because of two big typhoons in September 2018. We must conduct continuous observations to aid the recovery of seagrass-associated communities and protect the experimental field to keep high biodiversity of macrobenthic fauna in the future
Grandidierella japonica (Amphipoda: Aoridae): a non-indigenous species in a Po delta lagoon of the northern Adriatic (Mediterranean Sea)
The introduction and spread of non-indigenous species is one of the main threats to biodiversity of aquatic ecosystems and it is becoming an increasing problem for the international scientific community. Aquaculture and related activities are recognized as one of the most important drivers of non-indigenous species in the Mediterranean. Grandidierella japonica Stephensen, 1938 is an aorid amphipod species native of Japan. This species had previously only been reported a few times outside the Pacific region, in particular from coastal waters of England and French Atlantic coasts. A population of the non-indigenous amphipod G. japonica, has been detected in the Sacca di Goro, a Po delta lagoon of the northern Adriatic Sea (Italy), representing the first record of this species in the Mediterranean Sea. Adults of both sexes and juveniles were collected in muddy sediments reaching high densities. We examined 24 specimens: 8 adult males, 12 females, and 4 undifferentiated juveniles. Our specimens displayed a variability in the position of teeth of male gnathopod 1. Likely vectors for this introduction are the commercial shellfish transplants, mainly oyster farming. The finding of a reproducing population of G. japonica suggests that the species has become well established in the Sacca di Goro. This finding also seems to be particularly relevant for the improvement on the knowledge of Mediterranean biodiversity and threats
Recent discovery of Paranthura japonica Richardson, 1909 (Crustacea: Isopod: Paranthuridae) in European marine waters (Arcachon Bay, Bay of Biscay)
The Asiatic isopod Paranthura japonica Richardson, 1909 was collected in 2007 in Arcachon Bay (SW France), where the species occurs in a variety of habitats, both in the intertidal and at shallow depths. This species, native to the Sea of Japan, may have been accidentally introduced in Arcachon Bay with oyster transfers or as fouling on ship hulls
ํฉํด ์ฐ์์ง์ญ ํด์ ๋ฌผ ๋ด ์๋ฅ์ฑ๋ ์ฑ๋ฌผ์ง์ ์๊ณต๊ฐ ๋ถํฌ ๋ฐ ๋ํ์ ์๋๋ฌผ ๊ตฐ์ง์ ๋ํ ์ํฅ
ํ์๋
ผ๋ฌธ (๋ฐ์ฌ) -- ์์ธ๋ํ๊ต ๋ํ์ : ์์ฐ๊ณผํ๋ํ ์ง๊ตฌํ๊ฒฝ๊ณผํ๋ถ, 2021. 2. ๊น์ข
์ฑ.Sediments in the coastal areas of the Yellow Sea have been contaminated by persistent toxic substances (PTSs) over the last 30 years. This study evaluated the spatiotemporal distribution of classic and emerging PTSs in sediment and their impact on the macrofaunal community in the coastal areas of the Yellow Sea. PTSs included polycyclic aromatic hydrocarbons (PAHs), alkylphenols (APs), polychlorinated biphenyls (PCBs), metals, emerging PTS (styrene oligomers (SOs), emerging-PAHs (E-PAHs), and halogenated-PAHs (Hl-PAHs). The distribution of PTSs varied in relation to chemical and station, with that of PAHs being generally high. PAH concentrations in Nantong, Huludao, and Qinhuangdao (China) present potential risks to aquatic organisms. Over the last decade, PAH contamination has declined in Korea, while that of PAHs in general has increased in China. Thus, PTS contamination is likely ongoing with high potential risk, especially in China. Historical records of classic and emerging PTSs over the 100 years showed that contamination of both classic and emerging PTSs was high from the 1970s to 1990s. Fluxes of classic and emerging PTSs showed a similar trend to concentrations of PTSs; however, since the 2000s, the rate of decrease has been relatively low, indicating the continuous input of PTSs to the Yellow Sea. The impact of PTSs has been low, despite the relatively high concentrations of classic and emerging PTSs in hotspots. The macrofaunal community inhabiting the upper intertidal zone, estuaries, and coastal areas was more impacted by salinity, sediment grain size, and chlorophyll-a, rather than PTSs. However, the great potential ecological risk of PTSs was found in some areas, which suggested that continuous monitoring is required. Overall, the contamination by sedimentary PTSs in the coastal areas of the Yellow Sea has decreased compared to the past; however, contamination remains high in certain areas. The impacts of PTSs on the macrofaunal community were weak, despite the high PTS concentrations in some areas. In conclusion, This study provides baseline information on PTS contamination and ecological impacts, suggesting that selecting priorities for pollution management and implementation of pollution reduction policies in Korea and China are necessary.ํฉํด ์ฐ์์ง์ญ ํด์ ๋ฌผ์ ์ง๋ 30์ฌ๋
๊ฐ ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ์ํด ์ค์ผ๋์ด ์๋ค. ๋ณธ ์ฐ๊ตฌ์์๋ ์ต์ด๋ก ํฉํด ์ ์ฒด ์ฐ์์ง์ญ ํด์ ๋ฌผ ๋ด ๊ธฐ์กด (๋คํ๋ฐฉํฅ์กฑํํ์์, ์ํฌํ๋, ํด๋ฆฌ์ผํ๋นํ๋, ์ค๊ธ์) ๋ฐ ์ ๊ท (์คํฐ๋ ์ฌ๋ฆฌ๊ณ ๋จธ์ ์๋ฏธ๋
ธ, ์ํฌ ๋๋ ํ ๋ก๊ฒ์ผ๋ก ์นํ๋ ๋คํ๋ฐฉํฅ์กฑํํ์์) ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ์๊ณต๊ฐ๋ถํฌ์ ๋ํ์ ์๋๋ฌผ ๊ตฐ์ง์ ๋ฏธ์น๋ ์ํฅ์ ํ๊ฐํ์๋ค. ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ๋ถํฌ๋ ํํฉ๋ฌผ๊ณผ ์ ์ ์ ๋ฐ๋ผ ๋ค์ํ๊ฒ ๋ํ๋ฌ๊ณ , ๋คํ๋ฐฉํฅ์กฑํํ์์์ ๋๋๊ฐ ์๋์ ์ผ๋ก ๋๊ฒ ๋ํ๋ฌ๋ค. ํนํ, ์ค๊ตญ์ ํ๋ฃจ๋ค์ค, ์นํฉ๋ค์ค, ๋ํต์ง์ญ ๋ด ๋คํ๋ฐฉํฅ์กฑํํ์์์ ๋๋๋ ์ ์ํ๊ณ์ ์ ์ฌ์ ์ํด์ฑ์ ๊ฐ์ง๋ ๊ฒ์ผ๋ก ํ์ธ๋์๋ค. ์ง๋ 10์ฌ๋
๊ฐ ํ๊ตญ์์ ๋คํ๋ฐฉํฅ์กฑํํ์์ ๋๋๋ ๊ฐ์ํ์์ง๋ง, ์ค๊ตญ์์๋ ์ ์
์์ ๋ณํ์ ํจ๊ป ์ต๊ทผ ๋ ๋์ ๋๋๊ฐ ๊ฒ์ถ๋์๋ค. ์ฐ๋๊ฐ ์ธก์ ๋ ์ฃผ์ํด์ ๋ฌผ ๋ถ์ํ ๊ฒฐ๊ณผ, ์ง๋ 100์ฌ๋
๊ฐ ๊ธฐ์กด ๋ฐ ์ ๊ท ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ด ์กด์ฌํ์๊ณ , 1970๋
๋๋ถํฐ 1990๋
๋์ ๊ฐ์ฅ ๋์ ๋๋๋ก ๋ถํฌํ ๊ฒ์ด ํ์ธ๋์๋ค. ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ์ ์
๋์ 1990๋
๋ ์ดํ์๋ ์๋์ ์ผ๋ก ๋๊ฒ ๋ํ๋, ํฉํด ์ฐ์์ง์ญ์ ์ค์ผ์ด ์ง์๋๊ณ ์์์ ์์ฌํ์๋ค. ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ์ํ ์ํฅ์ ๋๋๋ ์ง์ญ์ ๊ด๊ณ์์ด ์๋์ ์ผ๋ก ์๋ค๋ ๊ฒ์ด ํ์ธ๋์๋ค. ์๋ถ์กฐ๊ฐ๋, ํ๊ตฌ, ์ฐ์ ์ง์ญ์ ์์ํ๋ ๋ํ์ ์๋๋ฌผ ๊ตฐ์ง์ ํ๊ฒฝ์์ธ ์ค ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง ๋ณด๋ค ์ผ๋ถ, ํด์ ๋ฌผ ์
์ํฌ๊ธฐ์ ๊ฐ์ฅ ์ํฅ์ ๋ฐ์๋ค. ํ์ง๋ง ์ผ๋ถ ์ง์ญ์์ ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ์ ์ฌ์ ์ํ๋๊ฐ ๋๊ฒ ๋ํ๋ ์ง์์ ์ธ ๊ด์ฐฐ์ด ์๊ตฌ๋๋ค. ์ด์์ ์ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ์ข
ํฉ ์์ฝํ๋ฉด, ์ฒซ์งธ, ํฉํด ์ฐ์ ํด์ ๋ฌผ๋ด ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง์ ๊ณผ๊ฑฐ์ ๋นํด ์ต๊ทผ ๊ฐ์ํ์ผ๋, ์ผ๋ถ ์ง์ญ์์ ์ฌ์ ํ ๋์ ์ค์ผ๋๋ฅผ ๋ณด์๊ณ , ๋์งธ, ๋ํ์ ์๋๋ฌผ์ ๊ตฐ์ง๊ตฌ์กฐ๋ ์๋ฅ์ฑ์ค์ผ๋ฌผ์ง๋ณด๋ค๋ ์์์ง ๋ด ๋ฌผ๋ฆฌ ํํ์ ํ๊ฒฝ์์ธ์ ์ํด ๋ ์ํฅ์ ๋ฐ๋ ๊ฒ์ผ๋ก ๋ํ๋ฌ๋ค. ๊ฒฐ๊ณผ์ ์ผ๋ก, ๋ณธ ์ฐ๊ตฌ๋ ํฉํด ์ฐ์ ์ง์ญ์ ์ค์ผ๊ณผ ์ํํ์ ์ํฅ์ ๋ํ ์ ๋ณด๋ฅผ ์ ๊ณตํ๋ฉฐ, ํฅํ ํ๊ตญ๊ณผ ์ค๊ตญ์ ์ค์ผ๊ด๋ฆฌ๋ฅผ ์ํ ์ฐ์ ์์ ์ ํ ๋ฐ ์ค์ผ๊ฐ์ ์ ์ฑ
์คํ์ด ํ์ํจ์ ์์ฌํ๋ค.ABSTRACT I
TABLE OF CONTENTS II
LIST OF ABBREVIATIONS VI
LIST OF TABLES IX
LIST OF FIGURES XII
CHAPTER. 1. Introduction 1
1.1. Background 2
1.2. Objectives 10
CHAPTER. 2. Distributions Of Persistent Organic Contaminants In Sediments And Their Potential Impact On Macrobenthic Faunal Community Of The Geum River Estuary And Saemangeum Coast, Korea 12
2.1. Introduction 13
2.2. Materials and Methods 15
2.2.1. Sampling strategy 15
2.2.2. Analyses of PTSs and carbon stable isotope ratio 15
2.2.3. Macrobenthic fauna analysis 19
2.2.4. Quality assurance and quality control 19
2.2.5. Data analysis 19
2.3. Results and Discussion 21
2.3.1. Spatial distribution of persistent organic contaminants 21
2.3.2. Composition and sources of persistent organic contaminants 26
2.3.3. Sources and distribution of organic matter 31
2.3.4. Association of POCs contamination to the macrofaunal community 35
2.4. Summary 42
CHAPTER. 3. Macrozoobenthic community responses to sedimentary contaminations by anthropogenic toxic substances in the Geum River Estuary, South Korea 2014 43
3.1. Introduction 44
3.2. Materials and Methods 47
3.2.1. Study area and sampling 47
3.2.2. PTS analyses 49
3.2.3. Environment parameters and macrobenthic fauna analyses 53
3.2.4. Data analyses 53
3.3. Results and Discussion 55
3.3.1. Spatiotemporal distributions of metals and the metalloid 55
3.3.2. Spatiotemporal distributions of PAHs and APs 66
3.3.3. Spatiotemporal patterns of macrofaunal assemblages 72
3.3.4. Key factors influencing the spatiotemporal pattern of macrofaunal
assemblages 76
3.4. Summary 83
CHAPTER. 4. Large-Scale Monitoring And Ecological Risk Assessment Of Persistent Toxic Substances In Riverine, Estuarine, And Coastal Sediments Of The Yellow And Bohai Seas 84
4.1. Introduction 85
4.2. Materials and Methods 89
4.2.1. Study area and sampling 89
4.2.2. Chemicals and reagents 92
4.2.3. PTSs analyses 94
4.2.4. TOC, TN, and stable isotopes analyses 97
4.2.5. Positive matrix factorization receptor model 98
4.2.6. Macrobenthic fauna analysis 99
4.2.7. Data analyses 99
4.3. Results and Discussion 100
4.3.1. Distributions of PTSs in sediments of Yellow and Bohai seas 100
4.3.2. Assessment of potential ecological risks 108
4.3.3. Compositions and sources of PTSs 109
4.3.4. PTSs distributions by land-use types 117
4.3.5. Comparison of PTSs contaminations between 2008 and 2018 123
4.3.6. Macrobenthic fauna community 127
4.4. Summary 130
CHAPTER. 5. Historical Sedimentary Record And Flux Of Classic And Emerging Persistent Toxic Substances In Intertidal Sediment Cores From The Yellow And Bohai Seas 131
5.1. Introduction 132
5.2. Materials and Methods 135
5.2.1. Sampling 135
5.2.2. Target chemicals 137
5.2.3. Analyses of persistent toxic substances 137
5.2.4. Sediment dating and PTSs flux 142
5.2.5. Macrobenthic fauna analysis 145
5.2.6. Data analyses 145
5.3. Results and Discussion 146
5.3.1. Concentrations and fluxes of classic PTSs 146
5.3.2. Concentrations and fluxes of emerging PTSs 151
5.3.3. Compositional profiles and sources of PTSs 154
5.3.4. Deposition flux and mass inventory 162
5.3.5. Macrobenthic fauna community 164
5.4. Summary 167
CHAPTER. 6. Conclusions 168
6.1. Summary 169
6.2. Environmental implications and Limitations 177
6.3. Future Research Directions 184
BIBLIOGRAPHY 186
ABSTRACT (IN KOREAN) 208
APPENDIX 209Docto
Recommended from our members
Reviews and syntheses: Biological Indicators of Oxygen Stress in Water Breathing Animals
Abstract. Anthropogenic warming and nutrient over-enrichment of our oceans have resulted in significant, and often catastrophic, reductions in dissolved oxygen (deoxygenation). Stress on water-breathing animals from this deoxygenation has been shown to occur at all levels of biological organization: cellular; organ; individual; species; population; community; and ecosystem. Most climate forecasts predict increases in ocean deoxygenation, thus it is essential to develop reliable biological indicators of oxygen stress that can be used by regional and global oxygen monitoring efforts to detect and assess the impacts of deoxygenation on ocean life. This review focuses on indicators of low-oxygen stress that are manifest at different levels of biological organization and at a variety of spatial and temporal scales. We compare particular attributes of these indicators to the dissolved oxygen threshold of response, time-scales of response, sensitive life stages and taxa, and the ability to scale the response to oxygen stress across levels of organization. Where there is available evidence, we discuss the interactions of other biological and abiotic stressors on the biological indicators of oxygen stress. We address the utility, confounding effects, and implementation of the biological indicators of oxygen stress for both research and societal applications. Our hope is that further refinement and dissemination of these oxygen stress indicators will provide more direct support for environmental managers, fisheries and mariculture scientists, conservation professionals, and policy makers to confront the challenges of ocean deoxygenation. An improved understanding of the sensitivity of different ocean species, communities and ecosystems to low oxygen stress will empower efforts to design monitoring programs, assess ecosystem health, develop management guidelines, track conditions, and detect low-oxygen events
Microbial community functioning at hypoxic sediments revealed by targeted metagenomics and RNA stable isotope probing
Microorganisms are instrumental to the structure and functioning of marine ecosystems and to the chemistry of the ocean due to their essential part in the cycling of the elements and in the recycling of the organic matter. Two of the most critical ocean biogeochemical cycles are those of nitrogen and sulfur, since they can influence the synthesis of nucleic acids and proteins, primary productivity and microbial community structure. Oxygen concentration in marine environments is one of the environmental variables that have been largely affected by anthropogenic activities; its decline induces hypoxic events which affect benthic organisms and fisheries. Hypoxia has been traditionally defined based on the level of oxygen below which most animal life cannot be sustained. Hypoxic conditions impact microbial composition and activity since anaerobic reactions and pathways are favoured, at the expense of the aerobic ones. Naturally occurring hypoxia can be found in areas where water circulation is restricted, such as coastal lagoons, and in areas where oxygen-depleted water is driven into the continental shelf, i.e. coastal upwelling regions. Coastal lagoons are highly dynamic aquatic systems, particularly vulnerable to human activities and susceptible to changes induced by natural events. For the purpose of this PhD project, the lagoonal complex of Amvrakikos Gulf, one of the largest semi-enclosed gulfs in the Mediterranean Sea, was chosen as a study site. Coastal upwelling regions are another type of environment limited in oxygen, where also formation of oxygen minimum zones (OMZs) has been reported. Sediment in upwelling regions is rich in organic matter and bottom water is often depleted of oxygen because of intense heterotrophic respiration. For the purpose of this PhD project, the chosen coastal upwelling system was the Benguela system off Namibia, situated along the coast of south western Africa. The aim of this PhD project was to study the microbial community assemblages of hypoxic ecosystems and to identify a potential link between their identity and function, with a particular emphasis on the microorganisms involved in the nitrogen and sulfur cycles. The methodology that was applied included targeted metagenomics and RNA stable isotope probing (SIP). It has been shown that the microbial community diversity pattern can be differentiated based on habitat type, i.e. between riverine, lagoonal and marine environments. Moreover, the studied habitats were functionally distinctive. Apart from salinity, which was the abiotic variable best correlated with the microbial community pattern, oxygen concentration was highly correlated with the predicted metabolic pattern of the microbial communities. In addition, when the total number of Operational Taxonomic Units (OTUs) was taken into consideration, a negative linear relationship with salinity was identified (see Chapter 2). Microbial community diversity patterns can also be differentiated based on the lagoon under study since each lagoon hosts a different sulfate-reducing microbial (SRM) community, again highly correlated with salinity. Moreover, the majority of environmental terms that characterized the SRM communities were classified to the marine biome, but terms belonging to the freshwater or brackish biomes were also found in stations were a freshwater effect was more evident (see Chapter 3). Taxonomic groups that were expected to be thriving in the sediments of the Benguela coastal upwelling system were absent or present but in very low abundances. Epsilonproteobacteria dominated the anaerobic assimilation of acetate as confirmed by their isotopic enrichment in the SIP experiments. Enhancement of known sulfate-reducers was not achieved under sulfate addition, possibly due to competition for electron donors among nitrate-reducers and sulfate-reducers, to the inability of certain sulfate-reducing bacteria to use acetate as electron donor or to the short duration of the incubations (see Chapter 4). Future research should focus more on the community functioning of such habitats; an increased understanding of the biogeochemical cycles that characterize these hypoxic ecosystems will perhaps allow for predictions regarding the intensity and direction of the cycling of elements, especially of nitrogen and sulfur given their biological importance. Regulation of hypoxic episodes will aid the end-users of these ecosystems to possibly achieve higher productivity, in terms of fish catches, which otherwise is largely compromised by the elevated hydrogen sulfide concentrations
Microbial community functioning at hypoxic sediments revealed by targeted metagenomics and RNA stable isotope probing
Microorganisms are instrumental to the structure and functioning of marine ecosystems and to the chemistry of the ocean due to their essential part in the cycling of the elements and in the recycling of the organic matter. Two of the most critical ocean biogeochemical cycles are those of nitrogen and sulfur, since they can influence the synthesis of nucleic acids and proteins, primary productivity and microbial community structure. Oxygen concentration in marine environments is one of the environmental variables that have been largely affected by anthropogenic activities; its decline induces hypoxic events which affect benthic organisms and fisheries. Hypoxia has been traditionally defined based on the level of oxygen below which most animal life cannot be sustained. Hypoxic conditions impact microbial composition and activity since anaerobic reactions and pathways are favoured, at the expense of the aerobic ones. Naturally occurring hypoxia can be found in areas where water circulation is restricted, such as coastal lagoons, and in areas where oxygen-depleted water is driven into the continental shelf, i.e. coastal upwelling regions. Coastal lagoons are highly dynamic aquatic systems, particularly vulnerable to human activities and susceptible to changes induced by natural events. For the purpose of this PhD project, the lagoonal complex of Amvrakikos Gulf, one of the largest semi-enclosed gulfs in the Mediterranean Sea, was chosen as a study site. Coastal upwelling regions are another type of environment limited in oxygen, where also formation of oxygen minimum zones (OMZs) has been reported. Sediment in upwelling regions is rich in organic matter and bottom water is often depleted of oxygen because of intense heterotrophic respiration. For the purpose of this PhD project, the chosen coastal upwelling system was the Benguela system off Namibia, situated along the coast of south western Africa. The aim of this PhD project was to study the microbial community assemblages of hypoxic ecosystems and to identify a potential link between their identity and function, with a particular emphasis on the microorganisms involved in the nitrogen and sulfur cycles. The methodology that was applied included targeted metagenomics and RNA stable isotope probing (SIP). It has been shown that the microbial community diversity pattern can be differentiated based on habitat type, i.e. between riverine, lagoonal and marine environments. Moreover, the studied habitats were functionally distinctive. Apart from salinity, which was the abiotic variable best correlated with the microbial community pattern, oxygen concentration was highly correlated with the predicted metabolic pattern of the microbial communities. In addition, when the total number of Operational Taxonomic Units (OTUs) was taken into consideration, a negative linear relationship with salinity was identified (see Chapter 2). Microbial community diversity patterns can also be differentiated based on the lagoon under study since each lagoon hosts a different sulfate-reducing microbial (SRM) community, again highly correlated with salinity. Moreover, the majority of environmental terms that characterized the SRM communities were classified to the marine biome, but terms belonging to the freshwater or brackish biomes were also found in stations were a freshwater effect was more evident (see Chapter 3). Taxonomic groups that were expected to be thriving in the sediments of the Benguela coastal upwelling system were absent or present but in very low abundances. Epsilonproteobacteria dominated the anaerobic assimilation of acetate as confirmed by their isotopic enrichment in the SIP experiments. Enhancement of known sulfate-reducers was not achieved under sulfate addition, possibly due to competition for electron donors among nitrate-reducers and sulfate-reducers, to the inability of certain sulfate-reducing bacteria to use acetate as electron donor or to the short duration of the incubations (see Chapter 4). Future research should focus more on the community functioning of such habitats; an increased understanding of the biogeochemical cycles that characterize these hypoxic ecosystems will perhaps allow for predictions regarding the intensity and direction of the cycling of elements, especially of nitrogen and sulfur given their biological importance. Regulation of hypoxic episodes will aid the end-users of these ecosystems to possibly achieve higher productivity, in terms of fish catches, which otherwise is largely compromised by the elevated hydrogen sulfide concentrations
Reappraisal of cellulase activities in mangrove wetlands resulting from preliminary investigations in East Java, Indonesia
ๆฌ็ ็ฉถใฆใใฏใคใณใใใใทใขๆฑใทใใฃใฏใฎใใใณใใใณๆนพๅจ่พบใฎใใณใฏใใญใผใใๅฐๅใซใใใฆ๏ผไปฅๅใฎ็ ็ฉถ ใฆใใปใซใฉใผใปใๆดปๆงใๆใใใใจใใๅ ฑๅใใใฆใใชใใฃใ่ปไฝๅ็ฉใ็ฏ่ถณๅ็ฉใใใใฒใ่
่
ธๅ็ฉใซๅฑใใ ็ก่ๆคๅ็ฉใซใปใซใฉใผใปใๆดปๆงใใๅบใๅๅธใใใใจใๆใใใซใใใใใใซใใปใซใฉใผใปใๆดปๆงใฏใใใใณ ใใใณๆนพใใณใฏใใญใผใใๅนฒๆฝใฎ่ฝใก่ใๅ ็ฉ็ฉใใพใๆนพๅ
ใฎๆตทๅบๅ ็ฉ็ฉใซใๆคๅบใใใใใใฏใใชใขใใกใค ใชใใใณใในใชใจใใฎ้ขไธใใ็คบๅใใใใใพใใใใใพใฆใๅ ็ฉ็ฉไธญใฎๆๆฉ็ฉใฏใฟใณใใใฏ่ณชใใใใณใใใณใชใจใ ใฎๆๅ่งฃๆงใจใปใซใญใผในใใชใฏใใใณใชใจใใฎ้ฃๅ่งฃๆงใซๅบๅใใใฆใใใใ๏ผใปใซใญใผในใฏใใใปใซใญใผ ในใชใจใใจๅ
ฑใซ็็ฉๅ่งฃใๅใใใใจใใ๏ผ้ฃ็ฉ้ฃ้ใฎ่ฆ็นใฆใใฏๆบ้ฃๅ่งฃๆงๆๆฉ็ฉใจใใฆๅใๆฑใใใจ ใใ้ฉๅใฆใใใใจ่ใใ.ๆดใซ๏ผๆนฟๅฐใซ็ๆฏใใ็ก่ๆคๅ็ฉใใไฟๆใใฆใใใปใซใฉใผใปใใใ้ฃ็ฉ้ฃ้ใฆใๆ ใใๅฝนๅฒใ็่งฃใใใใใซใๆขๅ ฑๅใฎ็ ็ฉถๆๆใใฌใใใฅใผใ๏ผๆฐด็็ก่ๆคๅ็ฉใฎใปใซใฉใผใปใใซ้ขใใ ๆ
ๅ ฑใๆดๆฐใใ.Saline wetlands are empirically known to play an important role in the decomposition of terrestrial organic matter that is difficult to degrade, such as cellulose. The true nature of this role has been underestimated for a long time, because only microorganisms inhabiting saline wetland sediments, or those symbiotically living in aquatic invertebrates, were considered responsible until very recently. Although it is still unknown whether the majority of planktonic/benthic invertebrates possess endogenous cellulase, it is necessary to comprehensively investigate the distribution of cellulase activities in saline wetland invertebrates before any further studies. In the present study, we found that cellulase activities were widely distributed in invertebrates inhabiting a mangrove area of East Java, Indonesia, including Mollusca, Arthropoda and Cnidaria species that were not reported to have cellulase activity in previous studies. Moreover, cellulase activities were also detected in fallen leaves and sediments along the coastline, or below the water surface in Pang-Pang Bay of East Java, suggesting the involvement of small organisms such as meiobenthic invertebrates. To date, organic matter in sediments has been empirically classified into easy-to-decompose organic matter (EDOM) such as protein and starch, and non- degradable organic matter (NDOM) such as cellulose and lignin. However, from the viewpoint of food chain- related research, cellulose undergoes biodegradation together with hemicellulose. We thus propose to classify cellulose as quasi-hard-to-degrade organic matter (qHDOM). To understand the role played by invertebrates in the decomposition of qHDOM in wetlands, we therefore updated the information on aquatic invertebratesโ cellulase through a review of previous studies
Reviews and syntheses: Biological indicators of low-oxygen stress in marine water-breathing animals
Anthropogenic warming and nutrient over-enrichment of our oceans have resulted in significant, and often catastrophic, reductions in dissolved oxygen (deoxygenation). Stress on water-breathing animals from this deoxygenation has been shown to occur at all levels of biological organization: cellular, organ, individual, species, population, community, and ecosystem. Most climate forecasts predict increases in ocean deoxygenation; thus, it is essential to develop reliable biological indicators of low-oxygen stress that can be used by regional and global oxygen monitoring efforts to detect and assess the impacts of deoxygenation on ocean life. This review focuses on responses to low-oxygen stress that are manifest at different levels of biological organization and at a variety of spatial and temporal scales. We compare particular attributes of these biological indicators to the dissolved oxygen threshold of response, timescales of response, sensitive life stages and taxa, and the ability to scale the response to oxygen stress across levels of organization. Where there is available evidence, we discuss the interactions of other biological and abiotic stressors on the biological indicators of low-oxygen stress. We address the utility, confounding effects, and implementation of the biological indicators of oxygen stress for research and societal applications. Our hope is that further refinement and dissemination of these oxygen stress indicators will provide more direct support for environmental managers, fisheries and mariculture scientists, conservation professionals, and policymakers to confront the challenges of ocean deoxygenation. An improved understanding of the sensitivity of different ocean species, communities, and ecosystems to low-oxygen stress will empower efforts to design monitoring programs, assess ecosystem health, develop management guidelines, track conditions, and detect low-oxygen events.</p
- โฆ