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  • 2020-2024  (41)
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  • 1
    Online Resource
    Online Resource
    San Diego :Elsevier,
    Keywords: Coastal zone management-Indonesia. ; Electronic books.
    Type of Medium: Online Resource
    Pages: 1 online resource (484 pages)
    Edition: 1st ed.
    ISBN: 9780128150511
    DDC: 577.5109598
    Language: English
    Note: Front Cover -- Science for the Protection of Indonesian Coastal Ecosystems (SPICE) -- Science for the Protection of Indonesian Coastal Ecosystems (SPICE) -- Copyright -- Contents -- Contributors -- Reviewers -- Foreword -- 1 - Introduction-Science for the Protection of Indonesian Coastal Ecosystems (SPICE) -- 1.1 Rationale -- 1.2 Development and implementation of the research and education program SPICE -- 1.3 Research, education, and outreach activities -- 1.4 Summary and synthesis of SPICE results -- Acknowledgments -- References -- 2 - Physical environment of the Indonesian Seas with focus on the western region -- 2.1 Introduction -- 2.2 The marine circulation -- 2.2.1 The global context -- 2.2.2 The regional circulation -- 2.2.3 Tides -- 2.3 Seasonal variability and long-term changes -- 2.3.1 Seasonality of circulation -- 2.3.2 Seasonality of temperature and salinity -- 2.3.3 Long-term development of sea surface temperature and sea surface salinity -- 2.4 Water residence times -- 2.5 Sources and sinks of freshwater -- 2.6 Remote sensing methods applied in coastal process studies -- 2.6.1 Available satellite data -- 2.6.2 Ocean color and its variation in Indonesian coastal waters -- 2.6.3 Satellite-based studies of phytoplankton and coastal processes -- 2.6.3.1 Distribution of phytoplankton -- 2.6.3.2 Coastal discharge and influence of tidal and monsoon phases -- 2.6.3.3 Climatological aspects -- Acknowledgments -- References -- 3 - Human interventions in rivers and estuaries of Java and Sumatra -- 3.1 Introduction -- 3.2 Drivers of environmental change affecting river fluxes -- 3.3 Natural factors, human interventions, and extreme events controlling river fluxes -- 3.3.1 The Brantas River, Java, as an example of high suspended matter rivers -- 3.3.1.1 Variations in sources, composition, and fate of nutrients. , 3.3.1.2 Variations in sources, composition, and fate of suspended sediments and particulate organic matter -- 3.3.1.3 Effects on phytoplankton abundance and community composition -- 3.3.1.4 Effects on the dissolved oxygen regime of the lower Brantas -- 3.3.2 The Siak River, Sumatra, as an example of blackwater rivers -- 3.3.2.1 Variations in dissolved organic carbon and dissolved oxygen -- 3.3.2.2 Sources and fate of nutrients -- 3.4 Governance and management programs -- Acknowledgments -- References -- 4 - Carbon cycle in tropical peatlands and coastal seas -- 4.1 Introduction -- 4.2 Background information -- 4.2.1 Peat -- 4.2.2 Peatland types -- 4.2.3 Vegetation and biodiversity -- 4.2.4 Peatland distribution and carbon storage -- 4.3 Indonesian peatlands -- 4.3.1 History of Indonesian peat swamps -- 4.3.2 Peat properties -- 4.3.3 Peat carbon accumulation -- 4.3.4 Land use and cover changes in Indonesia -- 4.3.5 The hydrological cycle of Indonesian peatlands -- 4.4 Peat carbon losses -- 4.4.1 CO2 emissions caused by peat and forest fires -- 4.4.2 CO2 emissions caused by peat soil oxidations -- 4.4.3 Off-site CO2 emission -- 4.5 Land-ocean continuum -- 4.5.1 SPICE study area -- 4.5.2 Dissolved organic carbon -- 4.5.3 Dissolved organic carbon yields -- 4.5.4 CO2 emission from rivers -- 4.5.5 Dissolved inorganic carbon yields -- 4.5.6 Leaching and erosion -- 4.5.7 Priming -- 4.6 Estuaries and the ocean -- 4.6.1 Dissolved organic carbon -- 4.6.1.1 The microbial organic carbon pump in the ocean -- 4.6.1.2 Dissolved organic carbon discharges into the ocean -- 4.6.1.3 The fate of dissolved organic carbon in the ocean -- 4.6.2 CO2 emissions from the coastal ocean -- 4.6.3 Organic carbon burial -- 4.6.4 The invisible carbon footprint -- 4.6.5 The marine peat carbon budget -- 4.6.6 Emission factors -- 4.7 Ecosystem CO2 emissions. , 4.7.1 Net on-site ecosystem CO2 exchange -- 4.7.2 CO2 emission from pristine peat swamps -- 4.7.3 CO2 emission from disturbed peatlands -- 4.8 Evaluation of CO2 emissions -- 4.8.1 Climate response to cumulative emissions of CO2 -- 4.8.2 CO2 reduction potential -- 4.8.3 CO2 emissions and land losses -- 4.8.4 Climate pledges and gaps -- 4.9 Socioeconomic implications -- 4.9.1 REDD+ -- 4.9.2 SPICE field experiments -- 4.10 Outlook -- References -- 5 - Coral reef social-ecological systems under pressure in Southern Sulawesi -- 5.1 Introduction-coral reefs in Indonesia and the Spermonde Archipelago -- 5.2 Functioning of coral reefs -- 5.2.1 Water quality and biogeochemical processes -- 5.2.2 Benthic coral reef community dynamics of Spermonde Archipelago -- 5.2.3 Bacterial communities and biofilms -- 5.2.4 Coral reef recruitment processes -- 5.2.5 Coral physiology -- 5.2.6 Relationships between benthic and fish communities -- 5.2.7 Consequences of disturbances for coral reef functioning -- 5.3 Genetic connectivity of reefs in the Coral Triangle region -- 5.3.1 Large-scale connectivity across the Coral Triangle region -- 5.3.2 Small-scale connectivity in the Spermonde Archipelago -- 5.3.3 Self-recruitment at the islands of Barrang Lompo and Samalona -- 5.3.4 Application of connectivity data in marine-protected area network design -- 5.4 Social systems associated with the use of coral-based resources and reef-specific challenges -- 5.4.1 Participatory assessment of Spermonde's coral reef fisheries -- 5.4.2 Investigating marine social-ecological feedbacks and dynamics -- 5.4.3 Reef-related livelihoods and implications for the present and future health of fishers and reefs -- 5.4.4 Changing target species, perceptions of reef resources, and implications for food security. , 5.4.5 Conclusions for the management of coral reef resources in the Spermonde Archipelago -- 5.5 Modeling to support the management of reef systems -- 5.5.1 Simulating the impact of fisheries on coral reef dynamics -- 5.5.2 A model on gear choices of fishermen -- 5.5.3 Spatial patterns of fishing ground distribution -- 5.6 Summary and outlook -- Acknowledgments -- References -- Appendix A5 -- 6 - Ecology of seagrass beds in Sulawesi-Multifunctional key habitats at the risk of destruction -- 6.1 General introduction to tropical Southeast Asian seagrass meadows -- 6.1.1 High biodiversity of seagrasses in the coral triangle of the tropical Indo-West Pacific -- 6.1.2 Introduction to the Spermonde Archipelago and its seagrasses and mangroves -- 6.2 The current distribution of seagrasses in the Spermonde Archipelago -- 6.2.1 Area estimates and seagrass mapping -- 6.2.2 The structure of tropical seagrass bed systems -- 6.3 Seagrass ecology -- 6.3.1 The historic loss of megaherbivores and today's important role of burrowing shrimp -- 6.3.2 Macrobenthic communities -- 6.3.3 The food web and the trophic pyramid in tropical seagrass beds -- 6.3.4 The function of seagrass meadows as water filters and buffers for land runoff -- 6.3.5 Carbon storage -- 6.3.6 Seagrass beds as carbon sinks -- 6.3.7 Trophic transfers from seagrass meadows to nearby ecosystems -- 6.4 Tropical seagrass beds as key habitat for fish species -- 6.4.1 Tropical seagrasses and their associated fish communities -- 6.4.2 The seagrass canopy as a driver of fish communities -- 6.4.3 Differences in fish habitat utilization across seagrass meadows with distinct canopy structures -- 6.5 Human-seagrass interactions -- 6.5.1 Ecological value and ecosystem services -- 6.5.2 Fisheries on fish and invertebrates in seagrass beds -- 6.5.3 Seaweed farms -- 6.5.4 Human-made infrastructure. , 6.5.5 Current threats -- 6.6 Conclusions and outlook -- Acknowledgments -- References -- 7 - Mangrove ecosystems under threat in Indonesia: the Segara Anakan Lagoon, Java, and other examples -- 7.1 Introduction -- 7.2 The study areas -- 7.3 Environmental setting and natural resource use -- 7.3.1 The physical setting -- 7.3.2 Water quality, biogeochemistry, and pollution -- 7.3.3 Carbon sources and storage -- 7.3.4 Flora and fauna -- 7.3.5 Population and natural resource use in the Segara Anakan region -- 7.4 Environmental change in the Segara Anakan Lagoon region: causes, drivers, and impacts -- 7.4.1 Decline of marine species and fisheries -- 7.4.2 Sedimentation and its causes -- 7.4.3 Reclamation of land and conflicts over new land -- 7.5 Threats to mangrove forests and their ecosystem services in Indonesia -- 7.6 Management programs -- Acknowledgments -- References -- 8 - Impact of megacities on the pollution of coastal areas-the case example Jakarta Bay -- 8.1 Introduction -- 8.2 Hydrological system and nutrient dispersion -- 8.3 Organic and inorganic pollution in Jakarta Bay -- 8.3.1 Types, quantity, and distribution of pollutants -- 8.3.1.1 Trace hazardous elements -- 8.3.1.2 Organic pollutants -- 8.3.2 Characterizing emission sources -- 8.3.2.1 Source apportionment of trace elements -- 8.3.2.2 The insect repellent N,N-diethyl-m-toluamide as tracer for municipal sewage and the implications for coastal management -- 8.3.3 Industrial emissions in the Greater Jakarta area and their role for the contamination of the Jakarta Bay ecosystem -- 8.3.4 The flushing-out phenomenon -- 8.3.5 Accumulation in biota -- 8.4 Water quality and biological responses -- 8.4.1 Water pollution in Jakarta Bay and the Thousand Islands -- 8.4.2 Biological responses to anthropogenic stressors -- 8.4.3 Impacts on the physiology of key coral reef organisms. , 8.4.4 Impacts on reef composition.
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  • 2
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (28 Seiten, 1,69 MB) , Illustrationen, Diagramme
    Language: German
    Note: Förderkennzeichen BMBF 03F0797A , Verbundnummer 01183047
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  • 3
    Online Resource
    Online Resource
    [Bremen] : Leibniz-Zentrum für Marine Tropenforschung (ZMT) GmbH
    Keywords: Forschungsbericht
    Type of Medium: Online Resource
    Pages: 1 Online-Ressource (23 Seiten, 2,08 MB) , IllustrationenDiagramme
    Language: German
    Note: Förderkennzeichen BMBF 03G0270B , Verbundnummer 01185012 , Literaturverzeichnis: Seite 2; Seite 17-19 , Unterschiede zwischen dem gedruckten Dokument und der elektronischen Ressource können nicht ausgeschlossen werden
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  • 4
    Publication Date: 2023-02-08
    Description: Decreasing concentrations of dissolved oxygen in the ocean are considered one of the main threats to marine ecosystems as they jeopardize the growth of higher organisms. They also alter the marine nitrogen cycle, which is strongly bound to the carbon cycle and climate. While higher organisms in general start to suffer from oxygen concentrations 〈 ∼ 63 µM (hypoxia), the marine nitrogen cycle responds to oxygen concentration below a threshold of about 20 µM (microbial hypoxia), whereas anoxic processes dominate the nitrogen cycle at oxygen concentrations of 〈 ∼ 0.05 µM (functional anoxia). The Arabian Sea and the Bay of Bengal are home to approximately 21 % of the total volume of ocean waters revealing microbial hypoxia. While in the Arabian Sea this oxygen minimum zone (OMZ) is also functionally anoxic, the Bay of Bengal OMZ seems to be on the verge of becoming so. Even though there are a few isolated reports on the occurrence of anoxia prior to 1960, anoxic events have so far not been reported from the open northern Indian Ocean (i.e., other than on shelves) during the last 60 years. Maintenance of functional anoxia in the Arabian Sea OMZ with oxygen concentrations ranging between 〉 0 and ∼ 0.05 µM is highly extraordinary considering that the monsoon reverses the surface ocean circulation twice a year and turns vast areas of the Arabian Sea from an oligotrophic oceanic desert into one of the most productive regions of the oceans within a few weeks. Thus, the comparably low variability of oxygen concentration in the OMZ implies stable balances between the physical oxygen supply and the biological oxygen consumption, which includes negative feedback mechanisms such as reducing oxygen consumption at decreasing oxygen concentrations (e.g., reduced respiration). Lower biological oxygen consumption is also assumed to be responsible for a less intense OMZ in the Bay of Bengal. According to numerical model results, a decreasing physical oxygen supply via the inflow of water masses from the south intensified the Arabian Sea OMZ during the last 6000 years, whereas a reduced oxygen supply via the inflow of Persian Gulf Water from the north intensifies the OMZ today in response to global warming. The first is supported by data derived from the sedimentary records, and the latter concurs with observations of decreasing oxygen concentrations and a spreading of functional anoxia during the last decades in the Arabian Sea. In the Arabian Sea decreasing oxygen concentrations seem to have initiated a regime shift within the pelagic ecosystem structure, and this trend is also seen in benthic ecosystems. Consequences for biogeochemical cycles are as yet unknown, which, in addition to the poor representation of mesoscale features in global Earth system models, reduces the reliability of estimates of the future OMZ development in the northern Indian Ocean.
    Type: Article , PeerReviewed
    Format: text
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  • 5
    Publication Date: 2024-03-27
    Description: We conducted extensive sediment trap experiments in the Benguela Upwelling System (BUS) in the south-eastern Atlantic Ocean to study the influence of zooplankton on the flux of particulate organic carbon (POC) through the water column and its sedimentation. Two long term moored and sixteen short term free-floating sediment trap systems were deployed. The mooring experiments were conducted for several years and the sixteen drifters were deployed on three different research cruises between 2019 and 2021. Zooplankton was separated from the trapped material and divided into 8 different zooplankton groups. In contrast to zooplankton which actively carries POC into the traps in the form of biomass (active POC flux), the remaining fraction of the trapped material was assumed to fall passively into the traps along with sinking particles (passive POC flux). The results show, in line with other studies, that copepods dominate the active POC flux, with the active POC flux in the southern BUS (sBUS) being about three times higher than in the northern BUS (nBUS). In contrast, the differences between the passive POC fluxes in the nBUS and sBUS were small. Despite large variations, which reflected the variability within the two subsystems, the mean passive POC fluxes from the drifters and the moored traps could be described using a common POC flux attenuation equation. However, the almost equal passive POC flux, on the one hand, and large variations in the POC concentration in the surface sediments between the nBUS and sBUS, on the other hand, imply that factors others than the POC supply exert the main control on POC sedimentation in the BUS. The varying intensity of the near-bottom oxygen minimum zone (OMZ), which is more pronounced in the nBUS than in the sBUS, could in turn explain the differences in the sediments, as the lack of oxygen reduces the POC degradation. Hence, globally expanding OMZs might favour POC sedimentation in regions formerly exposed to oxygenated bottom water but bear the risk of increasing the frequency of anoxic events in the oxygen-poor upwelling systems. Apart from associated release of CH4, which is a much more potent greenhouse gas than CO2, such events pose a major threat to the pelagic ecosystem and fisheries.
    Type: Article , NonPeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 6
    Publication Date: 2024-03-15
    Description: Amino acids (AAs) mainly bound in proteins are major constituents of living biomass and non-living organic material in the oceanic particulate and dissolved organic matter pool. Uptake and cycling by heterotrophic organisms lead to characteristic changes in AA composition so that AA-based biogeochemical indicators are often used to elucidate processes of organic matter cycling and degradation. We analyzed particulate AA in a large sample set collected in various oceanic regions covering sinking and suspended particles in the water column, sediment samples, and dissolved AA from water column and pore water samples. The aim of this study was to test and improve the use of AA-derived biogeochemical indicators as proxies for organic matter sources and degradation and to better understand particle dynamics and interaction between the dissolved and particulate organic matter pools. A principal component analysis (PCA) of all data delineates diverging AA compositions of sinking and suspended particles with increasing water depth. A new sinking particle and sediment degradation indicator (SDI) allows a fine-tuned classification of sinking particles and sediments with respect to the intensity of degradation, which is associated with changes of stable isotopic ratios of nitrogen (δ15N). This new indicator is furthermore sensitive to sedimentary redox conditions and can be used to detect past anoxic early diagenesis. A second indicator emerges from the AA spectra of suspended particulate matter (SPM) in the epipelagic and that of the meso- and bathypelagic ocean and is a residence time indicator (RTI). The characteristic changes in AA patterns from shallow to deep SPM are recapitulated in the AA spectra of the dissolved organic matter (DOM) pool, so that deep SPM is more similar to DOM than to any of the other organic matter pools. This implies that there is equilibration between finely dispersed SPM and DOM in the deep sea, which may be driven by microbial activity combined with annealing and fragmentation of gels. As these processes strongly depend on physico-chemical conditions in the deep ocean, changes in quality and degradability of DOM may strongly affect the relatively large pool of suspended and dissolved AA in the ocean that amounts to 15 Pg amino acid carbon (AAC) and 89 ± 29 Pg AAC, respectively.
    Type: Article , PeerReviewed , info:eu-repo/semantics/article
    Format: text
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  • 7
    Publication Date: 2023-07-07
    Description: The project MarParCloud (Marine biological production, organic aerosol Particles and marine Clouds: a process chain) aims to improve our understanding of the genesis, modification and impact of marine organic matter (OM) from its biological production, to its export to marine aerosol particles and, finally, to its ability to act as ice-nucleating particles (INPs) and cloud condensation nuclei (CCN). A field campaign at the Cape Verde Atmospheric Observatory (CVAO) in the tropics in September–October 2017 formed the core of this project that was jointly performed with the project MARSU (MARine atmospheric Science Unravelled). A suite of chemical, physical, biological and meteorological techniques was applied, and comprehensive measurements of bulk water, the sea surface microlayer (SML), cloud water and ambient aerosol particles collected at a ground-based and a mountain station took place. Key variables comprised the chemical characterization of the atmospherically relevant OM components in the ocean and the atmosphere as well as measurements of INPs and CCN. Moreover, bacterial cell counts, mercury species and trace gases were analyzed. To interpret the results, the measurements were accompanied by various auxiliary parameters such as air mass back-trajectory analysis, vertical atmospheric profile analysis, cloud observations and pigment measurements in seawater. Additional modeling studies supported the experimental analysis. During the campaign, the CVAO exhibited marine air masses with low and partly moderate dust influences. The marine boundary layer was well mixed as indicated by an almost uniform particle number size distribution within the boundary layer. Lipid biomarkers were present in the aerosol particles in typical concentrations of marine background conditions. Accumulation- and coarse-mode particles served as CCN and were efficiently transferred to the cloud water. The ascent of ocean-derived compounds, such as sea salt and sugar-like compounds, to the cloud level, as derived from chemical analysis and atmospheric transfer modeling results, denotes an influence of marine emissions on cloud formation. Organic nitrogen compounds (free amino acids) were enriched by several orders of magnitude in submicron aerosol particles and in cloud water compared to seawater. However, INP measurements also indicated a significant contribution of other non-marine sources to the local INP concentration, as (biologically active) INPs were mainly present in supermicron aerosol particles that are not suggested to undergo strong enrichment during ocean–atmosphere transfer. In addition, the number of CCN at the supersaturation of 0.30 % was about 2.5 times higher during dust periods compared to marine periods. Lipids, sugar-like compounds, UV-absorbing (UV: ultraviolet) humic-like substances and low-molecular-weight neutral components were important organic compounds in the seawater, and highly surface-active lipids were enriched within the SML. The selective enrichment of specific organic compounds in the SML needs to be studied in further detail and implemented in an OM source function for emission modeling to better understand transfer patterns, the mechanisms of marine OM transformation in the atmosphere and the role of additional sources. In summary, when looking at particulate mass, we see oceanic compounds transferred to the atmospheric aerosol and to the cloud level, while from a perspective of particle number concentrations, sea spray aerosol (i.e., primary marine aerosol) contributions to both CCN and INPs are rather limited.
    Type: Article , PeerReviewed
    Format: text
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  • 8
    Publication Date: 2023-03-14
    Keywords: aragonite saturation state; Aragonite saturation state; Calculated based on the ƒCO2 and the pH; Carbon, inorganic, dissolved; Carbon dioxide, partial pressure; Corals; Costa Rica; DATE/TIME; DEPTH, water; dissolved oxygen; Gulf of Papagayo; Gulf of Papagayo, Culebra Bay, Costa Rica; Leibniz Centre for Tropical Marine Research; Marina_Papagayo; Multiprobe, WTW 340i; Orion ROSS electrode and an Orion StarTM; Oxygen; pCO2; pH; Salinity; Sea surface temperature; SUNDANS; Surface UNderway carbon Dioxide partial pressure ANalySer; Time in days; Upwelling; WTW Cond 3310; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 504 data points
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  • 9
    Publication Date: 2023-01-30
    Description: Salinity, pH, sea water temperature (SWT) and pCO2 was measured at a water-depth of ~ 3 m at the Marina Papagayo (85°39'21.41"W; 10°32'32.89"N) in Costa Rica in April 2009. SWT and the pCO2 was measured by using SUNDANS, which was developed by "Marine Analytics and Data" (MARIANDA, Germany, www.marianda.com) according to the recommendations of the 2002 underway pCO2 system workshop in Miami, Florida. Salinity and the dissolved oxygen concentrations were determined by using WTW probes (Cond3310 and Multi 340i). The pH was measured using an Orion ROSS electrode and an Orion StarTM. The Orion ROSS electrode was calibrated by using NBS standards and re-calibrated to total scale by using the RCM standards (Batch 82: http://andrew.ucsd.edu/co2qc/). Omega_Aragonite (Ωa), DIC, and TA were calculated based on the ƒCO2 and the pH. Rixen et al. 2012 provides more detailed information.
    Keywords: aragonite saturation state; Corals; Costa Rica; dissolved oxygen; Gulf of Papagayo; Leibniz Centre for Tropical Marine Research; pCO2; Upwelling; ZMT
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 10
    Publication Date: 2023-02-12
    Keywords: aragonite saturation state; Carbon dioxide, partial pressure; Corals; Costa Rica; DATE/TIME; DEPTH, water; dissolved oxygen; Gulf of Papagayo; Gulf of Papagayo, Culebra Bay, Costa Rica; Leibniz Centre for Tropical Marine Research; Marina_Papagayo; pCO2; Sea surface temperature; SUNDANS; Surface UNderway carbon Dioxide partial pressure ANalySer; Time in days; Upwelling; ZMT
    Type: Dataset
    Format: text/tab-separated-values, 4011 data points
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