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  • 1
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    In:  J. Seism. Res., Tokyo, Am. Geophys. Union, vol. 7, no. 5946, pp. 39-51, pp. 8043
    Publication Date: 1984
    Keywords: Geol. aspects ; Earthquake precursor: prediction research ; China ; Fault zone ; part1 ; JSR
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  • 2
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    In:  Geol. Soc. Am. Bull., Tokyo, Am. Geophys. Union, vol. 95, no. 5946, pp. 686-700, pp. 8043
    Publication Date: 1984
    Keywords: Fault zone ; Geol. aspects ; Earthquake hazard
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  • 3
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    Unknown
    In:  J. Seism. Res., Tokyo, Am. Geophys. Union, vol. 7, no. 5946, pp. 171-185, pp. 8043
    Publication Date: 1984
    Keywords: Geol. aspects ; Earthquake precursor: prediction research ; China ; Fault zone ; part2 ; JSR
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  • 4
    Publication Date: 2012-07-12
    Description: We determine the current sources of dust in the Sahara Desert using quantitative correlation between the number of days with dust storms (NDS), derived from remote-sensing data of high temporal resolution, with the distribution of the soil types and geomorphic units. During 2006–8 the source of over 90% of the NDS was found to be sand dunes, leptosols, calcisols, arenosols, and rock debris. In contrast to previous studies, only few dust storms originated from playas and dry lake beds. Land erodibility was estimated by regressing the NDS to the number of days with high-speed wind events, and was found to be high for sand dunes. Clay and fine-silt grains and aggregates are scarce in sand dunes, which most likely produce dust particles through aeolian abrasion of sand grains. Thus, saltating sand grains impacting clay aggregates on playa surfaces cannot be the sole process for generating dust in the Sahara.
    Print ISSN: 0094-8276
    Electronic ISSN: 1944-8007
    Topics: Geosciences , Physics
    Published by Wiley on behalf of American Geophysical Union (AGU).
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  • 5
    Publication Date: 2011-11-19
    Description: The need to monitor the Earth’s surface over a range of spatial and temporal scales is fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the direction component using multiband data is the direction cosine, but the number of output direction cosine images is equal to the number of original bands and has a complex interpretation. This paper proposes a new approach to calculate the spectral direction of change, using the Spectral Angle Mapper and Spectral Correlation Mapper spectral-similarity measures. The chief advantage of this approach is that it generates a single image of change information insensitive to illumination variation. In this paper the magnitude component of the spectral similarity was calculated in two ways: as the standard Euclidean distance and as the Mahalanobis distance. In this test the best magnitude measure was the Euclidean distance and the best similarity measure was Spectral Angle Mapper. The results show that the distance and similarity measures are complementary and need to be applied together.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 6
    Publication Date: 2019
    Description: Abstract Assessing the statistical power to detect changes in wildlife populations is a crucial yet often overlooked step when designing and evaluating monitoring programs. Here, we developed a simulation framework to perform spatially explicit statistical power analysis of biological monitoring programs for detecting temporal trends in occupancy for multiple species. Using raster layers representing the spatial variation in current occupancy and species‐level detectability for one or multiple observation methods, our framework simulates changes in occupancy over space and time, with the capacity to explicitly model stochastic disturbances at monitoring sites (i.e., dynamic landscapes). Once users specify the number and location of sites, the frequency and duration of surveys, and the type of detection method(s) for each species, our framework estimates power to detect occupancy trends, both across the landscape and/or within nested management units. As a case study, we evaluated power of a long‐term monitoring program to detect trends in occupancy for 136 species (83 birds, 33 reptiles and 20 mammals) across and within Kakadu, Litchfield and Nitmiluk National Parks in northern Australia. We assumed continuation of an original monitoring design implemented since 1996, with the addition of camera‐trapping. As expected, power to detect trends was sensitive to the direction and magnitude of the change in occupancy, detectability, initial occupancy levels, and the rarity of species. Our simulations suggest that monitoring has at least an 80% chance at detecting a 50% decline in occupancy for 22% of species across the three parks over the next 15 years. Monitoring is more likely to detect increasing occupancy trends, with at least an 80% chance at detecting a 50% increase in 87% of species. The addition of camera‐trapping increased average power to detect a 50% decline in mammals compared with using only live trapping by 63%. We provide a flexible tool that can help decision‐makers design and evaluate monitoring programs for hundreds of species at a time in a range of ecological settings, while explicitly considering the distribution of species and alternative sampling methods. This article is protected by copyright. All rights reserved.
    Print ISSN: 1051-0761
    Electronic ISSN: 1939-5582
    Topics: Biology
    Published by Wiley on behalf of The Ecological Society of America (ESA).
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  • 7
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 2004-01-17
    Description: Communities arising through adaptive radiation are generally regarded as unique, with speciation and adaptation being quite different from immigration and ecological assortment. Here, I use the chronological arrangement of the Hawaiian Islands to visualize snapshots of evolutionary history and stages of community assembly. Analysis of an adaptive radiation of habitat-associated, polychromatic spiders shows that (i) species assembly is not random; (ii) within any community, similar sets of ecomorphs arise through both dispersal and evolution; and (iii) species assembly is dynamic with maximum species numbers in communities of intermediate age. The similar patterns of species accumulation through evolutionary and ecological processes suggest universal principles underlie community assembly.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gillespie, Rosemary -- New York, N.Y. -- Science. 2004 Jan 16;303(5656):356-9.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Division of Insect Biology, University of California, 201 Wellman Hall, Berkeley, CA94720-3112, USA. gillespi@nature.berkeley.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/14726588" target="_blank"〉PubMed〈/a〉
    Keywords: Adaptation, Physiological ; Animals ; Biodiversity ; *Biological Evolution ; DNA, Mitochondrial/genetics ; DNA, Ribosomal/genetics ; *Ecosystem ; Electron Transport Complex IV/genetics ; Environment ; Feeding Behavior ; Hawaii ; Isoenzymes/genetics ; Phylogeny ; Population Density ; RNA, Ribosomal, 16S/genetics ; *Spiders/anatomy & histology/classification/genetics/physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 8
    Publication Date: 2012-06-09
    Description: Localized ecological systems are known to shift abruptly and irreversibly from one state to another when they are forced across critical thresholds. Here we review evidence that the global ecosystem as a whole can react in the same way and is approaching a planetary-scale critical transition as a result of human influence. The plausibility of a planetary-scale 'tipping point' highlights the need to improve biological forecasting by detecting early warning signs of critical transitions on global as well as local scales, and by detecting feedbacks that promote such transitions. It is also necessary to address root causes of how humans are forcing biological changes.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Barnosky, Anthony D -- Hadly, Elizabeth A -- Bascompte, Jordi -- Berlow, Eric L -- Brown, James H -- Fortelius, Mikael -- Getz, Wayne M -- Harte, John -- Hastings, Alan -- Marquet, Pablo A -- Martinez, Neo D -- Mooers, Arne -- Roopnarine, Peter -- Vermeij, Geerat -- Williams, John W -- Gillespie, Rosemary -- Kitzes, Justin -- Marshall, Charles -- Matzke, Nicholas -- Mindell, David P -- Revilla, Eloy -- Smith, Adam B -- R01 GM069801/GM/NIGMS NIH HHS/ -- England -- Nature. 2012 Jun 6;486(7401):52-8. doi: 10.1038/nature11018.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Department of Integrative Biology, University of California, Berkeley, California 94720, USA. barnosky@berkeley.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/22678279" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; Climate Change/*statistics & numerical data ; *Earth (Planet) ; *Ecosystem ; Environmental Monitoring ; Forecasting ; Human Activities ; Humans ; *Models, Theoretical
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 9
    Publication Date: 2012-05-03
    Description: The need to monitor the Earth’s surface over a range of spatial and temporal scales is fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a bi-temporal method of change detection that considers the magnitude and direction of change vector. However, many multispectral applications do not make use of the direction component. The procedure most used to calculate the direction component using multiband data is the direction cosine, but the number of output direction cosine images is equal to the number of original bands and has a complex interpretation. This paper proposes a new approach to calculate the spectral direction of change, using the Spectral Angle Mapper and Spectral Correlation Mapper spectral-similarity measures. The chief advantage of this approach is that it generates a single image of change information insensitive to illumination variation. In this paper the magnitude component of the spectral similarity was calculated in two ways: as the standard Euclidean distance and as the Mahalanobis distance. In this test the best magnitude measure was the Euclidean distance and the best similarity measure was Spectral Angle Mapper. The results show that the distance and similarity measures are complementary and need to be applied together.
    Electronic ISSN: 2072-4292
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by MDPI Publishing
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  • 10
    Publication Date: 1978-06-02
    Description: Excavations into the Australian swamp of Lancefield show that a bone bed dated at 26,000 years ago contains perhaps 10,000 giant extinct animals. Associated artifacts suggest that humans were in the area, but the direct cause of death of the animals is, on present evidence, not explicable. Such a recent date for the classic megafauna shows that it was living together with humans for at least 7000 years in southeast Australia. This enduring association argues against a catastrophic and rapid overkill in the Australian Pleistocene.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Gillespie, R -- Horton, D R -- Ladd, P -- Macumber, P G -- Rich, T H -- Thorne, R -- Wright, R V -- New York, N.Y. -- Science. 1978 Jun 2;200(4345):1044-8.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/17740695" target="_blank"〉PubMed〈/a〉
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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