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  • 1
    ISSN: 1432-0592
    Source: Springer Online Journal Archives 1860-2000
    Topics: Architecture, Civil Engineering, Surveying , Geography , Economics
    Type of Medium: Electronic Resource
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  • 2
    Publication Date: 2017-10-19
    Description: Water, Vol. 9, Pages 801: Water Economics and Policy Water doi: 10.3390/w9100801 Authors: Julio Berbel Carlos Gutiérrez-Martín Julia Martin-Ortega Economics plays a double role in the field of water management, firstly as a powerful analytical tool supporting water allocation and policy decisions, and secondly in the form of policy instruments (water pricing, markets, etc.). This Special Issue presents a platform for sharing results connecting excellent interdisciplinary research applied to different regional and sectoral problems around the world. The 22 peer-reviewed papers collected in this Special Issue have been grouped into five broad categories: Water valuation and accounting; Economic instruments; Cost effectiveness and cost-benefit analysis; and Water productivity and Governance. They are briefly presented.
    Electronic ISSN: 2073-4441
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by MDPI Publishing
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  • 3
    Publication Date: 2012-07-19
    Description: Metallo-β-lactamases withstand low Zn(II) conditions by tuning metal-ligand interactions Nature Chemical Biology 8, 698 (2012). doi:10.1038/nchembio.1005 Authors: Javier M González, María-Rocío Meini, Pablo E Tomatis, Francisco J Medrano Martín, Julia A Cricco & Alejandro J Vila A number of multiresistant bacterial pathogens inactivate antibiotics by producing Zn(II)-dependent β-lactamases. We show that metal uptake leading to an active dinuclear enzyme in the periplasmic space of Gram-negative bacteria is ensured by a cysteine residue, an unusual metal ligand in oxidizing environments. Kinetic, structural and affinity data show that such Zn(II)-cysteine interaction is an adaptive trait that tunes the metal binding affinity, thus enabling antibiotic resistance at restrictive Zn(II) concentrations.
    Print ISSN: 1552-4450
    Electronic ISSN: 1552-4469
    Topics: Biology , Chemistry and Pharmacology
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  • 4
    Publication Date: 2021-04-09
    Description: Climate change is destabilizing permafrost landscapes, leading to increased greenhouse gas emissions and changes in hydrology. However, permafrost thaw is affected by surface and subsurface properties and processes, all of which are potentially linked with each other. Yet, no simple standardized protocol exists for measuring permafrost thaw and these processes/properties in a linked manner. Within the framework of the T-MOSAiC action group “permafrost thaw”, we developed a simple protocol, which can be possibleable to be used by experts, non-specialists, and citizen scientists’, to collect standardized data and metadata. Data on thaw depth are collected along transects across landscapes together with land surface and subsurface parameters of snow, vegetation, soil and water level. A mobile, user friendly App facilitates the data entry of field measurements and provides easy means for standardized data collection and documentation. Through this new T-MOSAiC permafrost study thaw protocol, we aim to standardize documentation of assess climate change impacts on permafrost.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 5
    Publication Date: 2021-09-20
    Description: Climate change is destabilizing permafrost landscapes, affecting infrastructure, ecosystems and human livelihoods. The rate of permafrost thaw is controlled by surface and subsurface properties and processes, all of which are potentially linked with each other. Yet, no standardized protocol exists for measuring permafrost thaw and related processes and properties in a linked manner. The permafrost thaw action group of the Terrestrial Multidisciplinary distributed Observatories for the Study of the Arctic Connections (T-MOSAiC) project has developed a protocol, for use by non-specialist scientists and technicians, citizen scientists and indigenous groups, to collect standardized metadata and data on permafrost thaw.The protocol introduced here addresses the need to jointly measure permafrost thaw and the associated surface and subsurface environmental conditions. The parameters measured along transects are: snow depth, thaw depth, vegetation height, soil texture, and water level. The metadata collection includes data on timing of data collection, geographical coordinates, land surface characteristics (vegetation, ground surface, water conditions), as well as photographs. Our hope is that this openly available dataset will also be highly valuable for validation and parameterization of numerical and conceptual models, thus to the broad community represented by the T-MOSAIC project.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , notRev
    Format: application/pdf
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  • 6
    Publication Date: 2021-12-06
    Description: There is an urgent need for data collection to better understand permafrost thaw and its interaction with vegetation, hydrology, soil and snow. Greater spatial coverage, and improved coordination and consistency of measurements is particularly needed. To enable this, the Permafrost Thaw Action Group of T-MOSAiC have developed a data collection protocol and a user-friendly app (myThaw) aimed at non experts to facilitate collection and synthesis of data from across the Arctic. Recognising the fundamental role of interactions between the different components of the permafrost system, we addressed the need to measure the interconnected parameters of snow, vegetation, hydrology and permafrost in a single protocol so that measurements will be co-located in space and time, allowing relationships between variables to be disentangled. In particular the protocol locates all measurements on 10-30m transects that are revisited throughout the year. The measured variables include snow depth, vegetation height, soil texture and type, water level and permafrost thaw depth. This protocol uses simple measurements so more difficult-to-measure parameters are not collected, but the lack of specialist equipment and skills should enable a much greater participation in data collection and thus an improved coverage of the permafrost region, which is a central goal of this action group. Along with the protocol and the myThaw app, we present here the first results from the data collection which has been live now for several months, and details of how to get involved.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
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  • 7
    Publication Date: 2021-12-06
    Description: Climate change is destabilizing permafrost landscapes, affecting infrastructure, ecosystems and human livelihoods. The rate of permafrost thaw is affected by surface and subsurface properties and processes, all of which are potentially linked with each other. Yet, no standardized protocol exists for measuring permafrost thaw and related processes and properties in a linked manner. The permafrost thaw action group of the Terrestrial Multidisciplinary distributed Observatories for the Study of the Arctic Connections (T-MOSAiC) project has developed a protocol, for use by non-specialist scientists and technicians, citizen scientists and indigenous groups, to collect standardized metadata and data on permafrost thaw. The protocol introduced here addresses the need to jointly measure permafrost thaw and the associated surface and subsurface environmental conditions. The parameters along transects are: snow depth, thaw depth, and vegetation height, soil texture and water level. The metadata collection includes data on timing of data collection, geographical coordinates, land surface characteristics (vegetation, ground surface, water conditions), as well as photographs. The comprehensive description and management of all data with metadata, central data storage and controlled data access is applied through the Observation to Archives (O2A) dataflow framework. Through this standardized procedure, data can be monitored in near-real time and their spatial distribution visualized. The dedicated user-friendly application (app) myThaw facilitates the data entry of field measurements and provides standardized data collection and documentation. We started our first measurements during March 2021 with snow depth measurements at the Bayelva site along a 10 meter transect. Several INTERACT sites in Svalbard, Alaska, Canada and Siberia have also agreed to start this data collection. This openly available dataset will also be highly valuable for validation and parameterization of numerical and conceptual models, thus to the broad community represented by the T-MOSAIC project.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 8
    Publication Date: 2022-01-09
    Description: There is an urgent need for standardized data collection to better understand permafrost thaw and its interaction with vegetation, hydrology, soil and snow. To enable this, the Permafrost Thaw Action Group of T-MOSAiC have developed a protocol for gathering integrated observations of multiple connected components of permafrost landscapes. It is integrated with a user-friendly app aimed at non-experts to facilitate collection and synthesis of data from across the Arctic. Recognizing the fundamental role of interactions between the different components of the permafrost system, we provide measurement guidelines for variables pertaining to snow, vegetation, hydrology, soil and permafrost in a single protocol. The measured variables include snow depth, vegetation height, water level, soil type, and thaw depth. The protocol locates all measurements on transects that are revisited throughout the year. The co-located measurements of multiple variables facilitate quantification of interactions between these variables and model–data integration. The protocol is geared toward non-experts, including citizen scientists. We provide video tutorials and a user-friendly app. The protocol uses simple measurements that do not require specialist equipment or skills. While variables that are more difficult to measure could not be included, we believe that the simplicity of the protocols will enable greater participation in data collection and thus an improved coverage of the permafrost region. Along with the protocol and app, we present the first results from the data collection which has been live now for several months, and details of how to get involved.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
    Location Call Number Limitation Availability
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  • 9
    Publication Date: 2021-11-15
    Description: Snow is an important component of the Svalbard permafrost and hydrological system due to its water storage and insulation properties. Continuous observations of snow properties in high-latitude such as Svalbard are almost non-existent, making it difficult to calibrate the current generation of snow, permafrost and hydrologic models, for these areas. The quantity of water contained within a snowpack, termed snow water equivalent (SWE), is an important variable to consider, but it is a difficult and time-consuming task to accurately measure and model SWE over broad spatial areas. Automated methods of SWE measurement can increase the ease with which seasonal SWE patterns can be monitored. We here evaluate an automated monitoring technique for measuring SWE using a passive gamma ray sensor at the Bayelva site (near Ny-Ålesund) installed in August 2019, validated with field data from 2019/2020 and 2020/2021. In March 2021 we performed a detailed SWE survey inside the sensor footprint that confirms a high spatial variability in the snowpack. Using independent wind, temperature and radiation data and automated photos from the nearby climate station, we could verify the onset and end of the snow-covered season as well as strong changes in snow depth and SWE as indicated by the new automated sensors. Thus, we conclude the new automated measurement system reliably captures the general evolution of these snow properties over the snow-covered season. One difficulty in comparing the automated and manual SWE measurements is the high spatial variability of SWE and snow depth within the footprint area of the sensor due to uneven snow cover associated with uneven terrain, wind drift and discontinuous snow cover due to patchy snow melt. Nevertheless, we see the automatic sensor as a good option to record continuous SWE data series in remote areas and with that fill data gaps to answer modeling questions.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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  • 10
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    In:  EPIC328. Internationale Polartagung, Potsdam, Germany, 2022-05-01-2022-05-05
    Publication Date: 2022-10-04
    Repository Name: EPIC Alfred Wegener Institut
    Type: Conference , notRev
    Format: application/pdf
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