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  • 2020-2024  (171)
  • 1960-1964  (118)
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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Agriculture. ; Environment. ; Physical geography. ; Agriculture. ; Environmental Sciences. ; Earth System Sciences. ; Earth System Sciences.
    Abstract: This book will collate, review and synthesize information on how Organic Agriculture (OA) practices affect and are affected by climate change, in comparison to the more widely used conventional agricultural practices. Pros and cons of OA practices will be discussed separately for croplands, pasture lands, mixed livestock cropping systems, vegetable fields, fruit and tree orchards, and vineyards. The book concludes with an overview on how conventional and OA practices can be prudently and discriminately combined to identify and adopt climate-resilient agro-ecosystems under site-specific conditions.
    Type of Medium: Online Resource
    Pages: XI, 232 p. 1 illus. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031172151
    DDC: 630
    Language: English
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  • 2
    Online Resource
    Online Resource
    Berlin, Heidelberg :Springer Berlin Heidelberg :
    Keywords: Cytology. ; Molecular biology. ; Immunology. ; Cancer. ; Cell Biology. ; Molecular Biology. ; Immunology. ; Cancer Biology.
    Description / Table of Contents: 1 Cell architecture -- 2 DNA & RNA & associated proteins -- 3 Transcription and translation -- 4 Regulation of gene expression -- 5 Membranes and intracellular transport -- 6 Signalling -- 7 Cell cycle -- 8 Immunology -- 9 Cancer.
    Abstract: This book introduces the basics of cellular and molecular biology on a basic level including detailed explanations and examples. It lays the foundation for a systematic understanding of biology, which is essential in order to handle big data in biomedical research. Comprehension of what is measured, how it is measured and how to interpret results is a precondition for the development of novel therapies against diseases. Interdisciplinary research benefits from versatile approaches to generate and test hypotheses, which may lead to new discoveries. Therefore, it requires a new generation of biologists from diverse backgrounds - and they need this introduction. This book helps students and experts from e.g. computer science, informatics, mathematics, physics, and related fields or even if you are in sales and marketing and want to have a better understanding of the biology behind certain products. The Author Lorenz Adlung is an independent junior group leader for systems immunology at the University Medical Center Hamburg-Eppendorf, Germany. He obtained his PhD in systems biology from Heidelberg University and the German Cancer Research Center. Lorenz received his postdoctoral training at the Weizmann Institute of Science in Israel. His original research articles are published in Journals like Molecular Systems Biology, and Cell. He won prestigious prizes e.g., the Young Investigators Award from the Gips Schüle Stiftung and the Marie Skłodowska-Curie Actions Individual Fellowship from the European Union. Lorenz is an advocate of interdisciplinary, free and open science. He gave a TEDx talk on the matter and loves scientific outreach.
    Type of Medium: Online Resource
    Pages: XIII, 125 p. 55 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783662653579
    DDC: 571.6
    Language: English
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  • 3
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Agriculture. ; Soil science. ; Forestry. ; Environmental management. ; Bioclimatology. ; Agriculture. ; Soil Science. ; Forestry. ; Environmental Management. ; Climate Change Ecology.
    Description / Table of Contents: 1. Introduction -- 1.1. Terrestrial Land Area -- 1.2. Principal Biomes of the U.S.A. -- 1.3. Changes in the Terrestrial Biosphere by Human Activities -- 2. Soil Organic Carbon Stocks -- 3. Soil Organic Carbon Sequestration -- 4. Soil Inorganic Carbon Stocks in Different Terrestrial Biomes -- 5. Conclusions -- 6. The Way Forward -- 7. Appendices.
    Abstract: Terrestrial biomes have soil organic carbon (SOC) stocks determined by natural (e.g., vegetation cover, soil type, climate) and anthropogenic (e.g., soil and land-use management) factors. Thus, biome type is among the main control of SOC stocks. Historically, many terrestrial biomes in the United States of America (U.S.A.) had higher SOC stocks than the same regions store today, and this discrepancy has contributed to increases in atmospheric carbon dioxide (CO2) concentrations and soil degradation. However, losses of SOC stocks must be reduced and/or stocks increased by SOC sequestration as net increases in SOC stocks contribute to climate change adaptation and mitigation by storing atmospheric CO2 in protected and stabilized fractions for millennia. Increases in SOC stocks will also contribute to improved soil fertility and soil health. Therefore, the aim of this book is to collate, review and synthesize information on how SOC stocks differ among major terrestrial biomes of the U.S.A. Information on soil inorganic carbon (SIC) stocks for different terrestrial biomes of the U.S.A. will also be presented. The book deliberates options for increasing SOC stocks and enhancing SOC sequestration in terrestrial biomes by soil and land-use management practices. It concludes with an overview of terrestrial biomes of the U.S.A. where targeted soil and land-use management practices may result in the greatest increases in SOC stocks and enhancements in SOC sequestration.
    Type of Medium: Online Resource
    Pages: IX, 201 p. 1 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030951931
    DDC: 630
    Language: English
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  • 4
    Call number: IASS 20.95395
    Type of Medium: Monograph available for loan
    Pages: 269 Seiten , Diagramme, Illustrationen , 21.5 cm x 15 cm
    ISBN: 9783825252441 , 9783838552446
    Series Statement: UTB 5244
    Language: German
    Branch Library: RIFS Library
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  • 5
    Monograph available for loan
    Monograph available for loan
    Offenbach am Main : Selbstverl. des Dt. Wetterdienstes
    Call number: MOP Per 18(82) ; MOP 28675 ; MOP 28676
    Type of Medium: Monograph available for loan
    Pages: 29 S. , Ill., zahlr. graph. Darst., Kt.
    Series Statement: Berichte des Deutschen Wetterdienstes 82
    Location: MOP - must be ordered
    Location: MOP - must be ordered
    Location: MOP - must be ordered
    Branch Library: GFZ Library
    Branch Library: GFZ Library
    Branch Library: GFZ Library
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  • 6
    Call number: K 97.0053 ; K 97.0052
    In: Geologische Karte der Deutschen Demokratischen Republik
    Edition: 1. Aufl.
    Branch Library: GFZ Library
    Branch Library: GFZ Library
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  • 7
    Publication Date: 2023-01-14
    Description: Climate model simulations typically exhibit a bias, which can be corrected using statistical approaches. In this study, a geostatistical approach for bias correction of daily precipitation at ungauged locations is presented. The method utilizes a double quantile mapping with dry day correction for future periods. The transfer function of the bias correction for the ungauged locations is established using distribution functions estimated by ordinary kriging with anisotropic variograms. The methodology was applied to the daily precipitation simulations of the entire CORDEX‐Africa ensemble for a study region located in the West African Sudanian Savanna. This ensemble consists of 23 regional climate models (RCM) that were run for three different future scenarios (RCP 2.6, RCP 4.5, and RCP 8.5). The evaluation of the approach for a historical 50‐year period (1950–2005) showed that the method can reduce the inherent strong precipitation bias of RCM simulations, thereby reproducing the main climatological features of the observed data. Moreover, the bias correction technique preserves the climate change signal of the uncorrected RCM simulations. However, the ensemble spread is increased due to an overestimation of the rainfall probability of uncorrected RCM simulations. The application of the bias correction method to the future period (2006–2100) revealed that annual precipitation increases for most models in the near (2020–2049) and far future (2070–2099) with a mean increase of up to 165mm⋅a−1 (18%). An analysis of the monthly and daily time series showed a slightly delayed onset and intensification of the rainy season.
    Description: Adapting water management strategies to future precipitation projected by climate models is associated with high uncertainty in sparsely gauged catchments. Kriging was utilized to estimate distribution parameters for ungauged locations in a West African region to perform a bias correction of the CORDEX‐Africa ensemble. The application of the bias correction method revealed higher annual precipitation amounts and an intensifaction of the rainy season but only little change to the onset of the rainy season.
    Description: German Federal Ministry of Education and Research, Bonn (BMBF), West African Science Service Centre on Climate Change and Adapted Land Use (WASCAL)
    Keywords: ddc:551.6 ; bias correction ; climate change ; CORDEX‐Africa ; geostatistical approaches ; precipitation ; quantile mapping ; West Africa
    Language: English
    Type: doc-type:article
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  • 8
    Publication Date: 2023-06-19
    Description: The knowledge of tree species dependent turnover of soil organic matter (SOM) is limited, yet required to understand the carbon sequestration function of forest soil. We combined investigations of 13C and 15N and its relationship to elemental stoichiometry along soil depth gradients in 35-year old monocultural stands of Douglas fir (Pseudotsuga menziesii), black pine (Pinus nigra), European beech (Fagus sylvatica) and red oak (Quercus rubra) growing on a uniform post-mining soil. We investigated the natural abundance of 13C and 15N and the carbon:nitrogen (C:N) and oxygen:carbon (O:C) stoichiometry of litterfall and fine roots as well as SOM in the forest floor and mineral soil. Tree species had a significant effect on SOM δ13C and δ15N reflecting significantly different signatures of litterfall and root inputs. Throughout the soil profile, δ13C and δ15N were significantly related to the C:N and O:C ratio which indicates that isotope enrichment with soil depth is linked to the turnover of organic matter (OM). Significantly higher turnover of OM in soils under deciduous tree species depended to 46% on the quality of litterfall and root inputs (N content, C:N, O:C ratio), and the initial isotopic signatures of litterfall. Hence, SOM composition and turnover also depends on additional—presumably microbial driven—factors. The enrichment of 15N with soil depth was generally linked to 13C. In soils under pine, however, with limited N and C availability, the enrichment of 15N was decoupled from 13C. This suggests that transformation pathways depend on litter quality of tree species.
    Description: Universität Trier (3163)
    Keywords: ddc:550.78 ; Stable isotopes ; Microbial turnover ; Litter ; Roots ; Common garden experiment ; Recultivated forest soil
    Language: English
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  • 9
    Publication Date: 2023-11-24
    Description: 〈title xmlns:mml="http://www.w3.org/1998/Math/MathML"〉Abstract〈/title〉〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉The inherent complexity of underground mining requires highly selective ore extraction and adaptive mine planning. Repeated geological face mapping and reinterpretation throughout mine life is therefore routine in underground mines. Hyperspectral imaging (HSI) has successfully been applied to enhance geological mapping in surface mining environments, but remains a largely unexplored opportunity in underground operations due to challenges associated with illumination, wet surfaces and data corrections. In this study, we propose a workflow that paves the way for the operational use of HSI in active underground mines. In a laboratory set‐up, we evaluated different hyperspectral sensors and lighting set‐ups as well as the effect of surface moisture. We then acquired hyperspectral data in an underground mine of the Zinnwald/Cínovec Sn‐W‐Li greisen‐type deposit in Germany. These data were corrected for illumination effects, back‐projected into three dimensions and then used to map mineral abundance and estimate Li content across the mine face. We validated the results with handheld laser‐induced breakdown spectroscopy. Despite remaining challenges, we hope this study will help establish hyperspectral sensors in the extractive industry as a means to increase the volume and efficiency of raw material supply, advance digitalisation, and reduce the environmental footprint and other risks associated with underground mining.〈/p〉
    Description: 〈p xmlns:mml="http://www.w3.org/1998/Math/MathML" xml:lang="en"〉This study proposes a workflow for using hyperspectral imaging for geological mapping in underground mining. The authors evaluated sensors and lighting set‐ups in a lab and acquired data in a German underground mine. The corrected data were used to map mineral abundance and estimate Li content, validated with laser‐induced breakdown spectroscopy. Despite challenges, this study aims to establish hyperspectral sensors in the extractive industry to increase raw material supply, advance digitalisation, and reduce environmental impact and mining risks.〈boxed-text position="anchor" content-type="graphic" id="phor12457-blkfxd-0001" xml:lang="en"〉〈graphic position="anchor" id="jats-graphic-1" xlink:href="urn:x-wiley:0031868X:media:phor12457:phor12457-toc-0001"〉 〈/graphic〉〈/boxed-text〉〈/p〉
    Description: https://doi.org/10.14278/rodare.2078
    Description: https://tinyurl.com/Zinnwald
    Keywords: ddc:622.1 ; hyperspectral ; lithium ; mineral mapping ; point cloud ; underground mining
    Language: English
    Type: doc-type:article
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  • 10
    Publication Date: 2023-01-25
    Description: We describe the ocean general circulation model Icosahedral Nonhydrostatic Weather and Climate Model (ICON‐O) of the Max Planck Institute for Meteorology, which forms the ocean‐sea ice component of the Earth system model ICON‐ESM. ICON‐O relies on innovative structure‐preserving finite volume numerics. We demonstrate the fundamental ability of ICON‐O to simulate key features of global ocean dynamics at both uniform and non‐uniform resolution. Two experiments are analyzed and compared with observations, one with a nearly uniform and eddy‐rich resolution of ∼10 km and another with a telescoping configuration whose resolution varies smoothly from globally ∼80 to ∼10 km in a focal region in the North Atlantic. Our results show first, that ICON‐O on the nearly uniform grid simulates an ocean circulation that compares well with observations and second, that ICON‐O in its telescope configuration is capable of reproducing the dynamics in the focal region over decadal time scales at a fraction of the computational cost of the uniform‐grid simulation. The telescopic technique offers an alternative to the established regionalization approaches. It can be used either to resolve local circulation more accurately or to represent local scales that cannot be simulated globally while remaining within a global modeling framework.
    Description: Plain Language Summary: Icosahedral Nonhydrostatic Weather and Climate Model (ICON‐O) is a global ocean general circulation model that works on unstructured grids. It rests on novel numerical techniques that belong to the class of structure‐preserving finite Volume methods. Unstructured grids allow on the one hand a uniform coverage of the sphere without resolution clustering, and on the other hand they provide the freedom to intentionally cluster grid points in some region of interest. In this work we run ICON‐O on an uniform grid of approximately 10 km resolution and on a grid with four times less degrees of freedom that is stretched such that in the resulting telescoping grid within the North Atlantic the two resolutions are similar, while outside the focal area the grid approaches smoothly ∼80 km resolution. By comparison with observations and reanalysis data we show first, that the simulation on the uniform 10 km grid provides a decent mesoscale eddy rich simulation and second, that the telescoping grid is able to reproduce the mesoscale rich circulation locally in the North Atlantic and on decadal time scales. This telescoping technique of unstructured grids opens new research directions.
    Description: Key Points: We describe Icosahedral Nonhydrostatic Weather and Climate Model (ICON‐O) the ocean component of ICON‐ESM 1.0, based on the ICON modeling framework. ICON‐O is analyzed in a globally mesoscale‐rich simulation and in a telescoping configuration. In telescoping configuration ICON‐O reproduces locally the eddy dynamics with less computational costs than the uniform configuration.
    Description: https://swiftbrowser.dkrz.de/public/dkrz_07387162e5cd4c81b1376bd7c648bb60/kornetal2021
    Description: https://mpimet.mpg.de/en/science/modeling-with-icon/code-availability
    Keywords: ddc:551.46 ; ocean modeling ; ocean dynamics ; unstructured grid modeling ; local refinement ; structure preservation numerics
    Language: English
    Type: doc-type:article
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