Urbanization affects ecological communities but urban ecology has mostly focused on large and charismatic species. Water-filled tree holes and other ephemeral small standing waters in cities constitute unique but inconspicuous breeding habitats for a range of insects. Their biodiversity is not well known and how their communities respond to increased urbanization in particular, has rarely been studied. Using a Citizen Science Project, we investigated how urbanization (measured as imperviousness, human population density and altered temperature), additional environmental parameters (pH, electric conductivity) and detritus serving as a food source affected larval insect communities in artificial aquatic microhabitats. We found that these habitats were colonized quickly by a range of insect taxa. Their community abundance, richness and decomposition rates were largely stable across different levels of urbanization. Fine detritus content increased larval abundance. Community composition shifted strongly with urbanization. The most abundant and frequent species in our study, the exotic mosquito species Aedes japonicus, responded negatively to imperviousness. Aquatic microhabitats could be shown to be important habitats for aquatic insects in cities. However, their community composition may change with increased urbanization. As our results showed, exotic species such as mosquitoes may dominate the communities in these habitats. In the case of vector species, high abundances may affect human and animal health via increased pathogen transmission. Therefore, we suggest raising awareness about potential risks of these habitats and possible measures preventing the establishment and spread of harmful species, while still supporting native biodiversity in urban spaces.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset comprises hydrochemical and soil data collected along the first 1.3 km downstream of the White Main spring in northern Bavaria, Germany, from March 2023 to April 2024. Stream water samples were analyzed for in-situ parameters (discharge, water temperature [°C], pH [-], redox potential [mV], electrical conductivity [µS/cm], Table Y1), and laboratory-measured parameters, including major ions and trace metals [mmol/L] (Table Y3), alkalinity [mmol/L], , dissolved inorganic and organic carbon (DIC, DOC [mmol/L]) and their stable isotope ratios (δ13CDIC/DOC ‰-VPDB). In addition, calculated partial pressure of CO2 (pCO2, [µatm]) and carbon dioxide fluxes (FCO2, [mmol/m2 d]), are provided for the stream water samples (Table Y2). The dataset also contains laboratory measurements related to soil-derived natural organic matter from acid and base soil extracts, including zeta potential ([mV], Table X1), particle size distribution ([%], Table X2), ultraviolet-visible absorbance (UV-VIS, Table X3), and fluorescence measurements (Table X4). UV-VIS (Table X5) and fluorescence measurements (Table X6) were additionally done for stream water samples. The datasets were collected to characterize hydrochemistry, carbon concentrations, carbon dioxide dynamics, and soil-derived organic matter properties in a granitic headwater stream and to provide a basis for reuse in studies of headwater biogeochemistry, carbon cycling, and soil-water interactions.
This dataset contains data from the RV Heincke cruise HE582 to the German Bight of the North Sea in late summer 2021. The aim of the research was to investigate the source of sedimentary glycan concentrations in subtidal sandy sediments. Glycans represent a substantial fraction of extracellular polymeric substances and may affect flow dynamics in marine sandy sediments. The origin and concentration of glycans in sands remain understudied until today. To gain insights into oxygen supply and glycan concentrations in sandy sediment, we conducted in situ measurements and sampled sediment via a van Veen grab for ex situ investigations. Oxygen penetration depths were determined by a benthic lander, which was deployed for ca. 24h at each station. Chlorophyll a concentrations as an indicator for potentially photosynthetically active sedimentary biomass were derived via extraction with 90% acetone against Sigma Aldrich standards. Glycan concentrations served as indicator for extracellular polymeric substances and were quantified against a glucose standard curve via a phenol sulfuric acid assay after prior sequential glycan extraction (MilliQ, EDTA, NaOH). The final glycan concentrations are referred to per volume of porespace, and therefore given in mmol/l porewater. To investigate if benthic primary producers could be responsible for the extracted sedimentary glycan concentrations, we conducted stable isotope incubations.
Intensive agricultural production in the Hai River catchment had detrimental impacts on the quantity and quality of ground and surface water. High cropping intensity, irrigation and fertilizer applications of more than 300 kg N/ha resulted in a decrease of the ground water table by more than 30 m within the last decades and severe deterioration of water quality in the Piedmont Plain Region, a part of the Hai River catchment. The shortage of water resources in the Hai River basin not only hinders the development of the local economy, but also results in severe environmental problems such as:- subsidence of the ground surface due to over-exploitation of groundwater, - degradation of ecosystems, - shrinking of rivers and lakes, - non point source pollution of soil and ground water - serious water pollution in the main channels and tributaries. Sustainable land use in that region requires a sound knowledge of the effects of single management measures. However, subsoil heterogeneity is one of the major obstacles, impeding relating cause and effect at larger scales and to assess the effect of single management strategies. In this study, a three-step up-scaling approach is suggested that combines some innovative methodologies, and enables to grasp the heterogeneities usually encountered at the management scale. First, a recently developed robust methodology will be applied to determine deep percolation and groundwater recharge in situ without requiring a fully-fledged soil hydrological model. The results can be compared to seepage data from lysimeters of the Luancheng station. Moreover, spatial heterogeneities and temporal patterns can be determined and can be related to soil hydrological properties. Second, spatial functional hydrological heterogeneity can be assessed based on principal component analysis of time series of soil water content and groundwater recharge, allowing to up-scale detailed measurements from single field sites. Third, processes affecting groundwater quality, and exchange between groundwater and surface water can be investigated using non-linear PCA of soil water, groundwater, and stream water quality data, combined with stable isotope data. The outcome of the project is expected to provide valuable contributions to scale-specific simulation of water and solute fluxes at the management scale.
Stable isotope ratios of various elements including H ((D), C, N, and S have been related to origin and turnover of soil organic matter (OM), because incomplete (bio)chemical reactions fractionate stable isotopes. On a global scale, the (D values in precipitation are related to the number of rain events that water vapor undergoes on its way to the poles, across mountains or towards inland because of evaporation/condensation-related isotope fractionation. As plants rely on local water sources that reflect the global distribution of (D values in precipitation for biosynthesis, C-bonded H in soil OM might show a geographically ordered distribution of (D values on a global scale. However, C-bonded (D values in soil OM might locally be modified by organic matter turnover. Our objectives are to 1) establish a method for the analysis of (D values of C-bonded H in soil, 2) determine the relationship between (D values in precipitation and in C-bonded H of soil OM on a global scale, 3) quantify the effect of decomposition on C-bonded (D values in soil OM with laboratory incubations and by assessing the vertical distribution of (D values in C-bonded H of soil OM in different climates (litter to subsoil). The proposed project adds a novel quantitative tool in Physical Geography to improve our understanding of C sequestration and turnover at the global scale.
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