1,100 research outputs found
Environmental conditions of a salt-marsh biodiversity experiment on the island of Spiekeroog (Germany)
Field experiments investigating biodiversity and ecosystem functioning require the observation of abiotic parameters, especially when carried out in the intertidal zone. An experiment for biodiversity–ecosystem functioning was set up in the intertidal zone of the back-barrier salt marsh of Spiekeroog Island in the German Bight. Here, we report the accompanying instrumentation, maintenance, data acquisition, data handling and data quality control as well as monitoring results observed over a continuous period from September 2014 to April 2017. Time series of abiotic conditions were measured at several sites in the vicinity of newly built experimental salt-marsh islands on the tidal flat. Meteorological measurements were conducted from a weather station (WS, https://doi.org/10.1594/PANGAEA.870988), oceanographic conditions were sampled through a bottom-mounted recording current meter (RCM, https://doi.org/10.1594/PANGAEA.877265) and a bottom-mounted tide and wave recorder (TWR, https://doi.org/10.1594/PANGAEA.877258). Tide data are essential in calculating flooding duration and flooding frequency with respect to different salt-marsh elevation zones. Data loggers (DL) for measuring the water level (DL-W, https://doi.org/10.1594/PANGAEA.877267), temperature (DL-T, https://doi.org/10.1594/PANGAEA.877257), light intensity (DL-L, https://doi.org/10.1594/PANGAEA.877256) and conductivity (DL-C, https://doi.org/10.1594/PANGAEA.877266) were deployed at different elevational zones on the experimental islands and the investigated salt-marsh plots. A data availability of 80% for 17 out of 23 sensors was achieved. Results showed the influence of seasonal and tidal dynamics on the experimental islands. Nearby salt-marsh plots exhibited some differences, e.g., in temperature dynamics. Thus, a consistent, multi-parameter, long-term dataset is available as a basis for further biodiversity and ecosystem functioning studies
Aquaculture induced erosion of tropical coastlines throws coastal communities back into poverty
Shallow tropical coastlines harbour unique mangrove ecosystems, which support livelihoods and provide a natural barrier against coastal flooding. Non-sustainable land-use practices, such as large-scale clear cutting of mangroves for aquaculture, ground water withdrawal and alteration of river flows, result in rapid subsidence. The collapse of aquaculture production, due to pollution and disease, is followed by coastal erosion, damage to infrastructure, intrusion of salt water and coastal flooding. Standard engineered interventions for protection often fail or are extremely expensive in these soft muddy environments. Subsidence and erosion render re-planting of mangroves in front of retreating coastlines impossible. Short-term solutions should focus on restoration of abiotic conditions, such as hydrology and sediment fluxes, to facilitate rapid establishment of protective mangrove belts. However, to ensure long-term sustainability, improved governance frameworks are required that put in place criteria for sustainable aquaculture, guide coastal infrastructure designs and limit ground water extraction
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Cross-shore gradients of physical disturbance in mangroves: Implications for seedling establishment
10.5194/bg-10-5411-2013Biogeosciences1085411-541
Anomalous transport properties of the halfmetallic ferromagnets Co2TiSi, Co2TiGe, and Co2TiSn
In this work the theoretical and experimental investigations of Co2TiZ (Z =
Si, Ge, or Sn) compounds are reported. Half-metallic ferromagnetism is
predicted for all three compounds with only two bands crossing the Fermi energy
in the majority channel. The magnetic moments fulfill the Slater-Pauling rule
and the Curie temperatures are well above room temperature. All compounds show
a metallic like resistivity for low temperatures up to their Curie temperature,
above the resistivity changes to semiconducting like behavior. A large negative
magnetoresistance of 55% is observed for Co2TiSn at room temperature in an
applied magnetic field of 4T which is comparable to the large negative
magnetoresistances of the manganites. The Seebeck coefficients are negative for
all three compounds and reach their maximum values at their respective Curie
temperatures and stay almost constant up to 950 K. The highest value achieved
is -52muV/K m for Co2TiSn which is large for a metal. The combination of
half-metallicity and the constant large Seebeck coefficient over a wide
temperature range makes these compounds interesting materials for
thermoelectric applications and further spincaloric investigations.Comment: 4 pages 4 figure
4D X-Ray CT Reconstruction using Multi-Slice Fusion
There is an increasing need to reconstruct objects in four or more dimensions
corresponding to space, time and other independent parameters. The best 4D
reconstruction algorithms use regularized iterative reconstruction approaches
such as model based iterative reconstruction (MBIR), which depends critically
on the quality of the prior modeling. Recently, Plug-and-Play methods have been
shown to be an effective way to incorporate advanced prior models using
state-of-the-art denoising algorithms designed to remove additive white
Gaussian noise (AWGN). However, state-of-the-art denoising algorithms such as
BM4D and deep convolutional neural networks (CNNs) are primarily available for
2D and sometimes 3D images. In particular, CNNs are difficult and
computationally expensive to implement in four or more dimensions, and training
may be impossible if there is no associated high-dimensional training data.
In this paper, we present Multi-Slice Fusion, a novel algorithm for 4D and
higher-dimensional reconstruction, based on the fusion of multiple
low-dimensional denoisers. Our approach uses multi-agent consensus equilibrium
(MACE), an extension of Plug-and-Play, as a framework for integrating the
multiple lower-dimensional prior models. We apply our method to the problem of
4D cone-beam X-ray CT reconstruction for Non Destructive Evaluation (NDE) of
moving parts. This is done by solving the MACE equations using
lower-dimensional CNN denoisers implemented in parallel on a heterogeneous
cluster. Results on experimental CT data demonstrate that Multi-Slice Fusion
can substantially improve the quality of reconstructions relative to
traditional 4D priors, while also being practical to implement and train.Comment: 8 pages, 8 figures, IEEE International Conference on Computational
Photography 2019, Toky
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