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  • 1
    Publication Date: 2002-12-14
    Description: Synthesis of river-monitoring data reveals that the average annual discharge of fresh water from the six largest Eurasian rivers to the Arctic Ocean increased by 7% from 1936 to 1999. The average annual rate of increase was 2.0 +/- 0.7 cubic kilometers per year. Consequently, average annual discharge from the six rivers is now about 128 cubic kilometers per year greater than it was when routine measurements of discharge began. Discharge was correlated with changes in both the North Atlantic Oscillation and global mean surface air temperature. The observed large-scale change in freshwater flux has potentially important implications for ocean circulation and climate.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Peterson, Bruce J -- Holmes, Robert M -- McClelland, James W -- Vorosmarty, Charles J -- Lammers, Richard B -- Shiklomanov, Alexander I -- Shiklomanov, Igor A -- Rahmstorf, Stefan -- New York, N.Y. -- Science. 2002 Dec 13;298(5601):2171-3.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Ecosystems Center, Marine Biological Laboratory, Woods Hole, MA 02543, USA. peterson@mbl.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/12481132" 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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  • 2
    Publication Date: 2000-07-15
    Description: The future adequacy of freshwater resources is difficult to assess, owing to a complex and rapidly changing geography of water supply and use. Numerical experiments combining climate model outputs, water budgets, and socioeconomic information along digitized river networks demonstrate that (i) a large proportion of the world's population is currently experiencing water stress and (ii) rising water demands greatly outweigh greenhouse warming in defining the state of global water systems to 2025. Consideration of direct human impacts on global water supply remains a poorly articulated but potentially important facet of the larger global change question.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vorosmarty, C J -- Green, P -- Salisbury, J -- Lammers, R B -- New York, N.Y. -- Science. 2000 Jul 14;289(5477):284-8.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Water Systems Analysis Group, Complex Systems Research Center, Ocean Processes Analytical Laboratory, Institute for the Study of Earth, Oceans, and Space, Earth Sciences Department, University of New Hampshire, Durham, NH 03824, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/10894773" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture ; *Climate ; Conservation of Natural Resources ; Fresh Water ; Global Health ; Humans ; *Population Growth ; Socioeconomic Factors ; *Water Supply
    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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  • 3
    Publication Date: 2005-04-16
    Description: Here we provide global estimates of the seasonal flux of sediment, on a river-by-river basis, under modern and prehuman conditions. Humans have simultaneously increased the sediment transport by global rivers through soil erosion (by 2.3 +/- 0.6 billion metric tons per year), yet reduced the flux of sediment reaching the world's coasts (by 1.4 +/- 0.3 billion metric tons per year) because of retention within reservoirs. Over 100 billion metric tons of sediment and 1 to 3 billion metric tons of carbon are now sequestered in reservoirs constructed largely within the past 50 years. African and Asian rivers carry a greatly reduced sediment load; Indonesian rivers deliver much more sediment to coastal areas.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Syvitski, James P M -- Vorosmarty, Charles J -- Kettner, Albert J -- Green, Pamela -- New York, N.Y. -- Science. 2005 Apr 15;308(5720):376-80.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Environmental Computation and Imaging Facility, Institute of Arctic and Alpine Research (INSTAAR), University of Colorado, Boulder, CO 80309-0450, USA. james.syvitski@colorado.edu〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/15831750" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture ; Conservation of Natural Resources ; Databases, Factual ; Ecosystem ; *Geologic Sediments ; *Human Activities ; Humans ; Models, Theoretical ; Oceans and Seas ; *Rivers ; Seasons ; Seawater ; Soil ; Water
    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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  • 4
    Publication Date: 2010-10-01
    Description: Protecting the world's freshwater resources requires diagnosing threats over a broad range of scales, from global to local. Here we present the first worldwide synthesis to jointly consider human and biodiversity perspectives on water security using a spatial framework that quantifies multiple stressors and accounts for downstream impacts. We find that nearly 80% of the world's population is exposed to high levels of threat to water security. Massive investment in water technology enables rich nations to offset high stressor levels without remedying their underlying causes, whereas less wealthy nations remain vulnerable. A similar lack of precautionary investment jeopardizes biodiversity, with habitats associated with 65% of continental discharge classified as moderately to highly threatened. The cumulative threat framework offers a tool for prioritizing policy and management responses to this crisis, and underscores the necessity of limiting threats at their source instead of through costly remediation of symptoms in order to assure global water security for both humans and freshwater biodiversity.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vorosmarty, C J -- McIntyre, P B -- Gessner, M O -- Dudgeon, D -- Prusevich, A -- Green, P -- Glidden, S -- Bunn, S E -- Sullivan, C A -- Liermann, C Reidy -- Davies, P M -- England -- Nature. 2010 Sep 30;467(7315):555-61. doi: 10.1038/nature09440.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉The Environmental CrossRoads Initiative, City University of New York, The City College of New York, New York, New York 10035, USA. contact@riverthreat.net〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/20882010" target="_blank"〉PubMed〈/a〉
    Keywords: Animals ; *Biodiversity ; Conservation of Natural Resources/methods/*statistics & numerical data ; Fisheries ; Geography ; *Internationality ; Population Density ; *Rivers ; *Water Supply
    Print ISSN: 0028-0836
    Electronic ISSN: 1476-4687
    Topics: Biology , Chemistry and Pharmacology , Medicine , Natural Sciences in General , Physics
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  • 5
    Publication Date: 2015-08-08
    Description: Deltas are highly sensitive to increasing risks arising from local human activities, land subsidence, regional water management, global sea-level rise, and climate extremes. We quantified changing flood risk due to extreme events using an integrated set of global environmental, geophysical, and social indicators. Although risks are distributed across all levels of economic development, wealthy countries effectively limit their present-day threat by gross domestic product-enabled infrastructure and coastal defense investments. In an energy-constrained future, such protections will probably prove to be unsustainable, raising relative risks by four to eight times in the Mississippi and Rhine deltas and by one-and-a-half to four times in the Chao Phraya and Yangtze deltas. The current emphasis on short-term solutions for the world's deltas will greatly constrain options for designing sustainable solutions in the long term.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Tessler, Z D -- Vorosmarty, C J -- Grossberg, M -- Gladkova, I -- Aizenman, H -- Syvitski, J P M -- Foufoula-Georgiou, E -- New York, N.Y. -- Science. 2015 Aug 7;349(6248):638-43. doi: 10.1126/science.aab3574.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Environmental CrossRoads Initiative, City University of New York, NY 10031, USA. ; Environmental CrossRoads Initiative, City University of New York, NY 10031, USA. Department of Civil Engineering, City College of New York, NY 10031, USA. ; Department of Computer Science, City College of New York, NY 10031, USA. ; Department of Geological Sciences, University of Colorado-Boulder, Boulder, CO 80309, USA. ; Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, Minneapolis, MN 55455, USA.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26250684" target="_blank"〉PubMed〈/a〉
    Keywords: Floods/*economics/*statistics & numerical data ; Forecasting ; Humans ; Investments ; Risk ; *Rivers
    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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  • 6
    Publication Date: 2015-08-01
    Description: 〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Vorosmarty, C J -- Hoekstra, A Y -- Bunn, S E -- Conway, D -- Gupta, J -- New York, N.Y. -- Science. 2015 Jul 31;349(6247):478-9. doi: 10.1126/science.aac6009. Epub 2015 Jul 30.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Advanced Science Research Center, City University of New York, New York, USA. Charles.Vorosmarty@asrc.cuny.edu. ; Twente Water Centre, University of Twente, Enschede, Netherlands. ; Australian Rivers Institute, Griffith University, Brisbane, Australia. ; London School of Economics and Political Science, London, UK. ; Amsterdam Institute for Social Science Research, University of Amsterdam, Amsterdam, Netherlands. UNESCO-IHE Institute for Water Education, Delft, Netherlands.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/26228130" target="_blank"〉PubMed〈/a〉
    Keywords: Drinking Water ; *Fresh Water ; Government Regulation ; Humans ; International Cooperation ; *Policy Making ; Water Pollution/legislation & jurisprudence
    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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  • 7
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Environment and Resources 3 (1978), S. 395-475 
    ISSN: 0362-1626
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Type of Medium: Electronic Resource
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  • 8
    ISSN: 1365-2486
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Biology , Energy, Environment Protection, Nuclear Power Engineering , Geography
    Notes: Historical and projected climate trends for high latitudes show substantial temporal and spatial variability. To identify uncertainties in simulating carbon (C) dynamics for pan-Arctic tundra, we compare the historical and projected responses of tundra C storage from 1921 to 2100 between simulations by the Terrestrial Ecosystem Model (TEM) for the pan-Arctic and the Kuparuk River Basin, which was the focus of an integrated study of C dynamics from 1994 to 1996. In the historical period from 1921 to 1994, the responses of net primary production (NPP) and heterotrophic respiration (RH) simulated for the Kuparuk River Basin and the pan-Arctic are correlated with the same factors; NPP is positively correlated with net nitrogen mineralization (NMIN) and RH is negatively correlated with mean annual soil moisture. In comparison to the historical period, the spatially aggregated responses of NPP and RH for the Kuparuk River Basin and the pan-Arctic in our simulations for the projected period have different sensitivities to temperature, soil moisture and NMIN. In addition to being sensitive to soil moisture during the projected period, RH is also sensitive to temperature and there is a significant correlation between RH and NMIN. We interpret the increases in NPP during the projected period as being driven primarily by increases in NMIN, and that the correlation between NPP and temperature in the projected period is a result primarily of the causal linkage between temperature, RH, and NMIN. Although similar factors appear to be controlling simulated regional-and biome-scale C dynamics, simulated C dynamics at the two scales differ in magnitude with higher increases in C storage simulated for the Kuparuk River Basin than for the pan-Arctic at the end of the historical period and throughout the projected period. Also, the results of the simulations indicate that responses of C storage show different climate sensitivities at regional and pan-Arctic spatial scales and that these sensitivities change across the temporal scope of the simulations. The results of the TEM simulations indicate that the scaling of C dynamics to a region of arctic tundra may not represent C dynamics of pan-Arctic tundra because of the limited spatial variation in climate and vegetation within a region relative to the pan-Arctic. For reducing uncertainties, our analyses highlight the importance of incorporating the understanding gained from process-level studies of C dynamics in a region of arctic tundra into process-based models that simulate C dynamics in a spatially explicit fashion across the spatial domain of pan-Arctic tundra. Also, efforts to improve gridded datasets ofhistorical climate for the pan-Arctic would advance the ability to assess the responses of C dynamics for pan-Arctic tundra in a more realistic fashion. A major challenge will be to incorporate topographic controls over soil moisture in assessing the response of C storage for pan-Arctic tundra.
    Type of Medium: Electronic Resource
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  • 9
    ISSN: 1573-1480
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract We assess the appropriateness of using regression- and process-based approaches for predicting biogeochemical responses of ecosystems to global change. We applied a regression-based model, the Osnabruck Model (OBM), and a process-based model, the Terrestrial Ecosystem Model (TEM), to the historical range of temperate forests in North America in a factorial experiment with three levels of temperature (+0 °C, +2 °C, and +5 °C) and two levels of CO2 (350 ppmv and 700 ppmv) at a spatial resolution of 0.5° latitude by 0.5° longitude. For contemporary climate (+0 °C, 350 ppmv), OBM and TEM estimate the total net primary productivity (NPP) for temperate forests in North America to be 2.250 and 2.602 × 1015 g C ⋅ yr−1, respectively. Although the continental predictions for contemporary climate are similar, the responses of NPP to altered climates qualitatively differ; at +0 °C and 700 ppmv CO2, OBM and TEM predict median increases in NPP of 12.5% and 2.5%, respectively. The response of NPP to elevated temperature agrees most between the models in northern areas of moist temperate forest, but disagrees in southern areas and in regions of dry temperate forest. In all regions, the response to CO2 is qualitatively different between the models. These differences occur, in part, because TEM includes known feedbacks between temperature and ecosystem processes that affect N availability, photosynthesis, respiration, and soil moisture. Also, it may not be appropriate to extrapolate regression-based models for climatic conditions that are not now experienced by ecosystems. The results of this study suggest that the process-based approach is able to progress beyond the limitations of the regression-based approach for predicting biogeochemical responses to global change.
    Type of Medium: Electronic Resource
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  • 10
    Publication Date: 2008-06-01
    Description: The primary goal of the Western Arctic Linkage Experiment (WALE) was to better understand uncertainties of simulated hydrologic and ecosystem dynamics of the western Arctic in the context of 1) uncertainties in the data available to drive the models and 2) different approaches to simulating regional hydrology and ecosystem dynamics. Analyses of datasets on climate available for driving hydrologic and ecosystem models within the western Arctic during the late twentieth century indicate that there are substantial differences among the mean states of datasets for temperature, precipitation, vapor pressure, and radiation variables. Among the studies that examined temporal trends among the alternative climate datasets, there is not much consensus on trends among the datasets. In contrast, monthly and interannual variations of some variables showed some correlation across the datasets. The application of hydrology models driven by alternative climate drivers revealed that the simulation of regional hydrology was sensitive to precipitation and water vapor differences among the driving datasets and that accurate simulation of regional water balance is limited by biases in the forcing data. Satellite-based analyses for the region indicate that vegetation productivity of the region increased during the last two decades of the twentieth century because of earlier spring thaw, and the temporal variability of vegetation productivity simulated by different models from 1980 to 2000 was generally consistent with estimates based on the satellite record for applications driven with alternative climate datasets. However, the magnitude of the fluxes differed by as much as a factor of 2.5 among applications driven with different climate data, and spatial patterns of temporal trends in carbon dynamics were quite different among simulations. Finally, the study identified that the simulation of fire by ecosystem models is particularly sensitive to alternative climate datasets, with little or no fire simulated for some datasets. The results of WALE identify the importance of conducting retrospective analyses prior to coupling hydrology and ecosystem models with climate system models. For applications of hydrology and ecosystem models driven by projections of future climate, the authors recommend a coupling strategy in which future changes from climate model simulations are superimposed on the present mean climate of the most reliable datasets of historical climate.
    Electronic ISSN: 1087-3562
    Topics: Geography , Geosciences , Physics
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