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 data file contains area-wide soil CO2 flux data from the Escarot mofette area in the Monts Dore volcanic province, Massif Central. Addtional data for stable carbon analysis of CO2 and CH4 as well as noble gas analysis from mofettes are included. Furthermore field parameters (pH, temperature, and electrical conductivity) of an observation borehole and a bubbling mofette are included.
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 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.
The data set contains the results for the porewater composition of samples, collected from different (up to 11) depths (down to 4.5 mbsf) at two sites in front of the Hütelmoor, southern Baltic Sea. Porewater was under impact by submarine groundwater discharge and collected during 6 field campaigns in years 2020 and 2021 using permanent multi-port samplers. Stable isotope signatures (H, C, O, S), major, and trace element data are presented to characterize the mixture between the endmembers freshwater and the brackish surface water component, superimposed by benthic diagenesis.
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