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  • 2020-2024  (53)
  • 1960-1964  (195)
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  • 1
    Publication Date: 2023-08-01
    Description: Our study analyzes potential agro-industrial soybean expansion dynamics and is the first to project soybean expansion Paraguayan Chaco. This biodiverse region, home to the greatest diversity of indigenous groups in Paraguay, has recently seen some of the world’s highest deforestation rates, losing 3.4 Mha of forestland between 2001 and 2014. Soy, a globally traded commodity crop and Paraguay’s largest export product, recently arrived in the area and may exacerbate the high deforestation rates currently attributed to pastureland expansion. We combine extensive field, trade, and satellite data, to analyze the context, and push-pull factors that are driving frontier expansion dynamics, and assess the potential impacts of soybean-based land use change using geo-located accounts of current soybean production sites. Our analysis finds that roughly 742,000 ha in the Paraguayan Chaco are suitable for soybean frontier expansion with an additional 940,000 ha moderately suitable for expansion. We identify the main drivers of soybean expansion in the region as agricultural technology and land price appreciation. However, infrastructure investments are set to further drive soybean expansion dynamics and connect the region via navigable rivers and roads with access to ports on the Atlantic and Pacific oceans as part of the multi-national Corredor-Bioceánico “bi-oceanic corridor” road project. The continued rapid development of this fragile landscape could transform the Paraguayan Chaco into a major South American logistics hub for soybean and other agricultural production. Without appropriate governance systems in place, this development could lead to irreversible large-scale damage to the socio-environmental systems, similar to boom dynamics seen in other South American frontiers.
    Description: Gordon and Betty Moore Foundation http://dx.doi.org/10.13039/100000936
    Description: Bundesministerium für Bildung und Forschung http://dx.doi.org/10.13039/501100002347
    Description: Svenska Forskningsrådet Formas http://dx.doi.org/10.13039/501100001862
    Keywords: ddc:631 ; Land use change ; Agricultural frontier ; Soybean expansion ; Paraguay ; Gran Chaco
    Language: English
    Type: doc-type:article
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  • 2
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    In:  XXVIII General Assembly of the International Union of Geodesy and Geophysics (IUGG)
    Publication Date: 2023-08-09
    Description: Commonly, deformation analysis or inversion software is not easily expandable to include new geodetic models or geodetic data types. We developed an open source, extensible Python-based framework for forward and inverse modeling of crustal deformation sources that abstracts from specific source model implementations, data types and inversion methods. Within this framework, we implement the most common volcanic source models which can be combined to model and analyze multi-source deformation. VMOD supports the most common geodetic datasets (GNSS, InSAR, and tilt) and others can be added with little effort. Non-linear least squares and Markov Chain Monte-Carlo (MCMC) Bayesian inversions are supported, as well as joint inversions of different types of data. VMOD’s structure allows for easy integration with Python implementations of new geodetic models. We benchmark the forward models against other published results and the inversion approaches against other implementations. We apply VMOD to analyze deformation at Unimak Island, Alaska, observed with continuous and campaign GPS, and InSAR images from the Sentinel-1 satellite mission. These data show an inflation pattern in Westdahl volcano and indicate subsidence in Fisher caldera. Previously, these deformation signals have been analyzed separately. We use VMOD to jointly invert the GPS and InSAR datasets to constrain the parameters of a single model that is composed of two sources. Our results revealed a contracting sill under Fisher caldera and an inflating spherical source underneath Westdahl volcano. This framework is part of the NSF PREEVENTS Eruption Forecasting project and will be published as an open source package.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 3
    Publication Date: 2023-02-02
    Description: The continued warming of the Arctic could release vast stores of carbon into the atmosphere from high-latitude ecosystems, especially from thawing permafrost. Increasing uptake of carbon dioxide (CO2) by vegetation during longer growing seasons may partially offset such release of carbon. However, evidence of significant net annual release of carbon from site-level observations and model simulations across tundra ecosystems has been inconclusive. To address this knowledge gap, we combined top-down observations of atmospheric CO2 concentration enhancements from aircraft and a tall tower, which integrate ecosystem exchange over large regions, with bottom-up observed CO2 fluxes from tundra environments and found that the Alaska North Slope is not a consistent net source nor net sink of CO2 to the atmosphere (ranging from −6 to +6 Tg C yr−1 for 2012–2017). Our analysis suggests that significant biogenic CO2 fluxes from unfrozen terrestrial soils, and likely inland waters, during the early cold season (September–December) are major factors in determining the net annual carbon balance of the North Slope, implying strong sensitivity to the rapidly warming freeze-up period. At the regional level, we find no evidence of the previously reported large late-cold-season (January–April) CO2 emissions to the atmosphere during the study period. Despite the importance of the cold-season CO2 emissions to the annual total, the interannual variability in the net CO2 flux is driven by the variability in growing season fluxes. During the growing season, the regional net CO2 flux is also highly sensitive to the distribution of tundra vegetation types throughout the North Slope. This study shows that quantification and characterization of year-round CO2 fluxes from the heterogeneous terrestrial and aquatic ecosystems in the Arctic using both site-level and atmospheric observations are important to accurately project the Earth system response to future warming.
    Language: English
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 4
    Publication Date: 2023-07-12
    Description: The World Data Centre (WDC) for Geomagnetism, Edinburgh serves the geomagnetism community providing access to geomagnetic data records for approx. 500 magnetic observatories worldwide, both past and present. It holds minute, hourly, and annual means with data reaching back to the early 1800s. It makes available information about magnetic field models and data records from magnetic surveys. It also houses a collection of historic data including magnetograms from observatories within the United Kingdom and a library of observatory yearbooks from around the world.We describe the current activities and recent developments within the WDC for Geomagnetism, Edinburgh. A community metadata database for geomagnetic observatories has been created and this has been integrated with INTERMAGNET and EPOS. To update and improve the information held, an improved metadata review process for contributing institutes is under development. We describe the current work to develop an extended Application Programming Interface for the WDC improving interoperability and accessibility of data in line with FAIR data principles. We also describe progress in geomagnetic observatory data availability with regular update processes, annual requests for data to observatory operators and a renewed database of historic and current geomagnetic observatory monthly means.
    Language: English
    Type: info:eu-repo/semantics/conferenceObject
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  • 5
    Publication Date: 2024-04-08
    Description: We compared the performance of DREAM3D simulations in reproducing the long‐term radiation belt dynamics observed by Van Allen Probes over the entire year of 2017 with various boundary conditions (BCs) and model inputs. Specifically, we investigated the effects of three different outer boundary conditions, two different low‐energy boundary conditions for seed electrons, four different radial diffusion (RD) coefficients (DLL), four hiss wave models, and two chorus wave models from the literature. Using the outer boundary condition driven by GOES data, our benchmark simulation generally well reproduces the observed radiation belt dynamics inside L* = 6, with a better model performance at lower μ than higher μ, where μ is the first adiabatic invariant. By varying the boundary conditions and inputs, we find that: (a) The data‐driven outer boundary condition is critical to the model performance, while adding in the data‐driven seed population doesn't further improve the performance. (b) The model shows comparable performance with DLL from Brautigam and Albert (2000, https://doi.org/10.1029/1999ja900344), Ozeke et al. (2014, https://doi.org/10.1002/2013ja019204), and Liu et al. (2016, https://doi.org/10.1002/2015gl067398), while with DLL from Ali et al. (2016, https://doi.org/10.1002/2016ja023002) the model shows less RD compared to data. (c) The model performance is similar with data‐based hiss models, but the results show faster loss is still needed inside the plasmasphere. (d) The model performs similarly with the two different chorus models, but better capturing the electron enhancement at higher μ using the Wang et al. (2019, https://doi.org/10.1029/2018ja026183) model due to its stronger wave power, since local heating for higher energy electrons is under‐reproduced in the current model.
    Language: English
    Type: info:eu-repo/semantics/article
    Format: application/pdf
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  • 6
    Publication Date: 2024-03-02
    Description: In this dataset we present a global compilation of over 1000 sedimentary records of 230Th from across the global ocean at two time slices, the Late Holocene (0-5000 years ago, or 0-5 ka) and the Last Glacial Maximum (18.5-23.5 ka). Data have been screened for age control, errors, and lithogenic corrections. Overall quality levels were computed by summing each record's scores on the individual criteria. A record is optimal if it is based on a chronology that is constrained by δ18O or 14C and it provides both the raw nuclide concentrations and the associated errors. About one quarter of the records in the database achieved this highest quality level. The large majority of the records in the database are good, passing two of the three criteria, while the remaining quarter are of fair or poor quality.
    Keywords: Comment; DEPTH, water; Distance; Flag; Focusing factor; GEOTRACES; Global marine biogeochemical cycles of trace elements and their isotopes; Identification; LATITUDE; LONGITUDE; Ocean; ORDINAL NUMBER; Quality level; Ratio; Reference/source; Thorium-230 excess, decay-corrected; Total sediment, flux; Uranium/Thorium ratio
    Type: Dataset
    Format: text/tab-separated-values, 15667 data points
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  • 7
    Publication Date: 2024-04-20
    Description: The International Bathymetric Chart of the Southern Ocean Version 2 (IBCSO v2) is a digital bathymetric model (DBM) for the area south of 50° S with special emphasis on the bathymetry of the Southern Ocean. IBCSO v2 has a resolution of 500 m × 500 m in a Polar Stereographic projection (EPSG: 9354). The total data coverage of the seafloor is 23.79% with a multibeam-only data coverage of 22.32%. The remaining 1.47% include singlebeam and other data. IBCSO v2 is the most authoritative seafloor map of the area south of 50°S. IBCSO is a regional mapping project of the General Bathymetric Chart of the Ocean (GEBCO) supported by the Nippon Foundation – GEBCO Seabed 2030 Project. GEBCO is a project under the auspices of the International Hydrographic Organization (IHO) and the Intergovernmental Oceanographic Commission (IOC) with the goal to produce the authoritative map of the world's oceans. The IBCSO Project is also an integral part of the Antarctic research community and an expert group of the Scientific Committee on Antarctic Research (SCAR). For further information about the IBCSO Project, please visit http://www.ibcso.org.
    Keywords: Antarctica; AWI_GeoPhy; Binary Object; Binary Object (File Size); Description; IBCSO_v2_extent; Image; Image (File Size); Marine Geophysics @ AWI; Projection; Seabed2030; The Nippon Foundation - GEBCO Seabed 2030 Project
    Type: Dataset
    Format: text/tab-separated-values, 50 data points
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  • 8
    Publication Date: 2024-04-25
    Description: Oxygen isotopes in biogenic silica (δ18O BSi) from lake sediments allow for quantitative reconstruction of past hydroclimate and proxy–model comparison in terrestrial environments. The signals of individual records have been attributed to different factors, such as air temperature (T air ), atmospheric circulation patterns, hydrological changes and lake evaporation. Here, we provide 55 composite down–core records published to date and complemented with additional lake basin parameters (e.g. lake water residence time and catchment size) to best characterize the signal properties. Records feature widely different temporal coverage and resolution ranging from decadal–scale records covering the last 150 years to records with multi–millennial scale resolution spanning glacial–interglacial cycles. Best coverage in number of records (N=37) and datapoints (N=2112) is available for northern hemispheric (NH) extra–tropic regions throughout the Holocene (corresponding to Marine Isotope Stage 1; MIS 1).
    Keywords: Compilation; delta O-18; Diatom; Lake sediment core; paleoclimate proxy
    Type: Dataset
    Format: application/zip, 2 datasets
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  • 9
    Publication Date: 2024-04-20
    Description: Marine particulate organic carbon-13 stable isotope ratios (δ13C-POC) provide additional constraints and insights into the cycling of carbon from dissolved pools to marine ecosystems including anthropogenic contributions. For such purposes, a robust spatio-temporal coverage of δ13C-POC observations is essential. In this data product, we collected and merged two large data compilations (Close and Henderson, 2020; St John Glew et al., 2021) into our previous version (Verwega et al., 2021) to provide the largest available marine δ13C-POC data set. Additionally, we have incorporated more meta information including if the samples were acidified before measuring the isotope ratio. The data set consists of 6952 data points covering the global ocean from year 1966 to 2019. We provide the data in the following two formats for best application on specific research purposes: (1) A spreadsheet file including all collected individual data and meta-information; (2) Network Common Data Form (NetCDF) files that only include acidified samples (6633 total data points) interpolated onto a global ocean grid (1°x1° horizontal resolution, 33 vertical levels based on World Ocean Atlas 2009) for each month individually and all months combined, with each file covering the temporal range from year 1966 to 2019.
    Keywords: Binary Object; Binary Object (File Size); Binary Object (Media Type); carbon isotope ratio (δ13C); Description; global; marine; ocean; Particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 28 data points
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  • 10
    Publication Date: 2024-04-20
    Description: The GLObal Reflectance community dataset for Imaging and optical sensing of Aquatic environments (GLORIA) includes 7,572 curated hyperspectral remote sensing reflectance measurements at 1 nm intervals within the 350 to 900 nm wavelength range. In addition, at least one co-located water quality measurement, chlorophyll a, total suspended solids, absorption by dissolved substances, and Secchi depth, is provided. The data were contributed by researchers affiliated with 53 institutions worldwide and come from 450 different water bodies, making GLORIA the de-facto state of knowledge of in situ coastal and inland aquatic optical diversity.
    Keywords: CDOM; Chlorophyll a; Coastal waters; inland waters; lakes; remote sensing; remote sensing reflectance; Total suspended solids; water quality
    Type: Dataset
    Format: application/zip, 56.2 MBytes
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