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  • 2015-2019  (3,052)
  • 2010-2014  (1,817)
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  • 1
    Call number: PIK N 071-10-0099
    Description / Table of Contents: Contents: PART I - Water for food security under growing scarcity ; 1. Water and food security under global change ; 2. Global water and food security: megatrends and emerging issues ; 3. Implications of global climatic change on water and food security ; 4. Biofuels, food security, and the environment: a 2020/2050 perspective ; PART II - Trade for water and food security- help or harm for the poor? ; 5. Implications of globalization and trade for water quality in transboundary rivers ; 6. Failure of the virtual water argument: possible explanations using the case study of Mexico and NAFTA ; 7. Globalization and fisheries: welfare implications of export trade in asia ; PART III - How to finance water for the poor in a globalized world ; 8. Global trends in financing water ; 9. Private-sector participation in water and sanitation services: the answer to public sector failures? ; 10. Mobilizing investment for municipal water supply services ; 11. Water, water services and international investment agreements ; PART IV - Conclusions ; 12. Global change: options for reform ; Appendix
    Type of Medium: Monograph available for loan
    Pages: XV, 265 S. : graph. Darst.
    ISBN: 9783642046148
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 2
    Keywords: open science
    Description / Table of Contents: Introduction 1 --- Introduction to Open (Robert Biswas-Diener and Rajiv S. Jhangiani) 3 --- A Brief History of Open Educational Resources (T. J. Bliss and M. Smith) 9 --- Open Licensing and Open Education Licensing Policy (Cable Green) 29 --- Openness and the Transformation of Education and Schooling (William G. Huitt and David M. Monetti) 43 --- What Can OER Do for Me? Evaluating the Claims for OER (Martin Weller, Beatriz de los Arcos, Rob Farrow, Rebecca Pitt and Patrick McAndrew) 67 --- Are OE Resources High Quality? (Regan A. R. Gurung) 79 --- Open Practices 87 --- Opening Science (Brian A. Nosek) 89 --- Open Course Development at the OERu (Wayne Mackintosh) 101 --- From OER to Open Pedagogy: Harnessing the Power of Open (Robin DeRosa and Scott Robison) 115 --- Opening Up Higher Education with Screencasts (David B. Miller and Addison Zhao) 125 --- Librarians in the Pursuit of Open Practices (Quill West) 139 --- A Library Viewpoint: Exploring Open Educational Practices (Anita Walz) 147 --- How to Open an Academic Department (Farhad Dastur) 163 --- Case Studies 179 --- The International Journal of Wellbeing: An Open Access Success Story (Dan Weijers and Aaron Jarden) 181 --- Iterating Toward Openness: Lessons Learned on a Personal Journey (David Wiley) 195 --- Open-Source for Educational Materials Making Textbooks Cheaper and Better (Ed Diener, Carol Diener and Robert Biswas-Diener) 209 --- Free is Not Enough (Richard Baraniuk, Nicole Finkbeiner, David Harris, Dani Nicholson and Daniel Williamson) 219 --- The BC Open Textbook Project (Mary Burgess) 227 --- TeachPsychScience.org: Sharing to Improve the Teaching of Research Methods (David B. Strohmetz, Natalie J. Ciarocco and Gary W. Lewandowski, Jr.) 237 --- DIY Open Pedagogy: Freely Sharing Teaching Resources in Psychology (Jessica Hartnett) 245 --- Conclusion 255 --- You Can’t Sell Free, and Other OER Problems (Robert Biswas-Diener) 257 --- Open as Default: The Future of Education and Scholarship (Rajiv S. Jhangiani) 267 --- Index 281
    Pages: Online-Ressource (VIII, 294 pages) , Diagramme
    ISBN: 9781911529019
    Language: English
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  • 3
    Publication Date: 2012-04-11
    Print ISSN: 2190-5509
    Electronic ISSN: 2190-5517
    Topics: Physics
    Published by Springer
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  • 4
    Publication Date: 2010-08-01
    Print ISSN: 1043-4666
    Electronic ISSN: 1096-0023
    Topics: Biology , Medicine
    Published by Elsevier
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  • 5
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    PANGAEA
    In:  Supplement to: Biswas, Haimanti; Shaik, Aziz Ur Rahman; Bandyopadhyay, Debasmita; Chowdhury, Neha (2017): CO 2 induced growth response in a diatom dominated phytoplankton community from SW Bay of Bengal coastal water. Estuarine, Coastal and Shelf Science, 198, 29-42, https://doi.org/10.1016/j.ecss.2017.07.022
    Publication Date: 2024-03-15
    Description: The ongoing increase in surface seawater CO2 level could potentially impact phytoplankton primary production in coastal waters; however, CO2 sensitivity studies on tropical coastal phytoplankton assemblages are rare. The present study investigated the interactive impacts of variable CO2 level, light and zinc addition on the diatom dominated phytoplankton assemblages from the western coastal Bay of Bengal. Increased CO2supply enhanced particulate organic matter (POC) production; a concomitant depletion in δ13CPOM values at elevated CO2 suggested increased CO2 diffusive influx inside the cell. Trace amount of Zn added under low CO2 level accelerated growth probably by accelerating Zn-Carbonic Anhydrase activity which helps in converting bicarbonate ion to CO2. Almost identical values of delta 13CPOM in the low CO2 treated cells grown with and without Zn indicated a low discrimination between 13C and 12C probably due to bicarbonate uptake. These evidences collectively indicated the existence of the carbon concentration mechanisms (CCMs) at low CO2. A minimum growth rate was observed at low CO2 and light limited condition indicating light dependence of CCMs activity. Upon the increase of light and CO2 level, growth response was maximum. The cells grown in the low CO2 levels showed higher light stress (higher values of both diatoxanthin index and the ratio of photo-protective to light-harvesting pigments) that was alleviated by both increasing CO2 supply and Zn addition (probably by efficient light energy utilization in presence of adequate CO2). This is likely that the diatom dominated phytoplankton communities benefited from the increasing CO2 supply and thus may enhance primary production in response to any further increase in coastal water CO2 levels and can have large biogeochemical consequences in the study area.
    Keywords: Abundance; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate; Carbon/Nitrogen ratio; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Change; Change, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll a/particulate organic carbon ratio; Coast and continental shelf; Community composition and diversity; Diatoxanthin index; Diatoxanthin index, standard deviation; Entire community; EXP; Experiment; Experiment duration; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Indian Ocean; Irradiance; Irradiance, standard deviation; Laboratory experiment; Light; Local Time; Micro-nutrients; Nitrogen, inorganic, dissolved; Nitrogen, inorganic, dissolved, standard deviation; Nitrogen, organic, particulate; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide, standard deviation; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pelagos; pH; pH, standard deviation; Phosphate; Phosphate, standard deviation; Pigments, light harvesting; Pigments, light harvesting, standard deviation; Pigments, photo-protective; Pigments, photo-protective, standard deviation; Pigments, photo-protective/light harvesting ratio; Pigments, photo-protective/light harvesting ratio, standard deviation; Pigments, total; Pigments, total, standard deviation; Primary production/Photosynthesis; Salinity; Silicate; Silicate, standard deviation; Species; Temperature, water; Time point, descriptive; Treatment; Tropical; Type; Visakhapatnam_coast; δ13C, particulate organic carbon
    Type: Dataset
    Format: text/tab-separated-values, 3913 data points
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  • 6
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    PANGAEA
    In:  Supplement to: Biswas, Haimanti; Cros, Alexander; Yadav, Kamana; Ramana, V Venkata; Prasad, V Rajendra; Archaryya, Tamoghna; Babu, P V Raghunadh (2011): The response of a natural phytoplankton community from the Godavari River Estuary to increasing CO2 concentration during the pre-monsoon period. Journal of Experimental Marine Biology and Ecology, 407(2), 284-293, https://doi.org/10.1016/j.jembe.2011.06.027
    Publication Date: 2024-03-15
    Description: This paper reports for the first time upon the effects of increasing CO2 concentrations on a natural phytoplankton assemblage in a tropical estuary (the Godavari River Estuary in India). Two short-term (5-day) bottle experiments were conducted (with and without nutrient addition) during the pre-monsoon season when the partial pressure of CO2 in the surface water is quite low. The results reveal that the concentrations of total chlorophyll, the phytoplankton growth rate, the concentrations of particulate organic matter, the photosynthetic oxygen evolution rates, and the total bacterial count were higher under elevated CO2 treatments, as compared to ambient conditions (control). delta13C of particulate organic matter (POM) varied inversely with respect to CO2, indicating a clear signature of higher CO2 influx under the elevated CO2 levels. Whereas, delta13CPOM in the controls indicated the existence of an active bicarbonate transport system under limited CO2 supply. A considerable change in phytoplankton community structure was noticed, with marker pigment analysis by HPLC revealing that cyanobacteria were dominant over diatoms as CO2 concentrations increased. A mass balance calculation indicated that insufficient nutrients (N, P and Si) might have inhibited diatomgrowth compared to cyanobacteria, regardless of increased CO2 supply. The present study suggests that CO2 concentration and nutrient supply could have significant effects on phytoplankton physiology and community composition for natural phytoplankton communities in this region. However, this work was conducted during a non-discharge period (nutrient-limited conditions) and the responses of phytoplankton to increasing CO2 might not necessarily be the same during other seasons with high physicochemical variability. Further investigation is therefore needed.
    Keywords: Alkaline phosphatase activity, normalized to particulate organic carbon; Alkaline phosphatase activity, normalized to particulate organic carbon, standard deviation; Alkalinity, total; Alkalinity, total, standard deviation; Aragonite saturation state; Bacteria; Bacteria, abundance, standard deviation; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Brackish waters; Calcite saturation state; Calculated; Calculated using CO2SYS; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, inorganic, dissolved, standard deviation; Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Carbon dioxide, partial pressure, standard deviation; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard deviation; Coulometric titration; Dissolved inorganic nitrogen, standard deviation; Entire community; EPOCA; EUR-OCEANS; European network of excellence for Ocean Ecosystems Analysis; European Project on Ocean Acidification; Fluorescent microscope; Fucoxanthin/chlorophyll a ratio; Fucoxanthin/chlorophyll a ratio, standard devitation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Growth/Morphology; Growth rate; Growth rate, standard deviation; Indian Ocean; Isotope ratio mass spectrometry; Laboratory experiment; Mass spectrometry; Nitrogen, inorganic, dissolved; Nitrogen, organic, particulate; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic nitrogen, standard deviation; Pelagos; pH; pH, standard deviation; Phosphorus, inorganic, dissolved; Phosphorus, inorganic, dissolved, standard deviation; Photosynthetic oxygen evolution, per particulate organic carbon; Photosynthetic oxygen evolution, per particulate organic carbon, standard deviation; Primary production/Photosynthesis; Salinity; Salinity, standard deviation; Silicate; Silicate, standard deviation; Spectrophotometry; Temperature, standard deviation; Temperature, water; Titration potentiometric, 794 Basic Titrino (Metrohm); Tropical; Zeaxanthin/Fucoxanthin ratio; Zeaxanthin/Fucoxanthin ratio, standard devitation; δ13C; δ13C, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 351 data points
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  • 7
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    PANGAEA
    In:  Supplement to: Biswas, Haimanti; Jie, Jin; Li, Ying; Zhang, Guosen; Zhu, Zhuoyi; Wu, Ying; Zhang, Guoling; Li, Yanwei; Liu, Sumei; Zhang, Jing (2015): Response of a natural phytoplankton community from the Qingdao coast (Yellow Sea, China) to variable CO2 levels over a short-term incubation experiment. Current Science, 108(10), 1901-1909, https://www.currentscience.ac.in/Volumes/108/10/1901.pdf
    Publication Date: 2024-03-22
    Description: Since marine phytoplankton play a vital role in stabilizing earth's climate by removing significant amount of atmospheric CO2, their responses to increasing CO2 levels are indeed vital to address. The responses of a natural phytoplankton community from the Qingdao coast (NW Yellow Sea, China) was studied under different CO2 levels in microcosms. HPLC pigment analysis revealed the presence of diatoms as a dominant microalgal group; however, members of chlorophytes, prasinophytes, cryptophytes and cyanophytes were also present. delta 13CPOM values indicated that the phytoplankton community probably utilized bicarbonate ions as dissolved inorganic carbon source through a carbon concentration mechanism (CCM) under low CO2 levels, and diffusive CO2 uptake increased upon the increase of external CO2 levels. Although, considerable increase in phytoplankton biomass was noticed in all CO2 treatments, CO2-induced effects were absent. Higher net nitrogen uptake under low CO2 levels could be related to the synthesis of CCM components. Flow cytometry analysis showed slight reduction in the abundance of Synechococcus and pico-eukaryotes under the high CO2 treatments. Diatoms did not show any negative impact in response to increasing CO2 levels; however, chlorophytes revealed a reverse tend. Heterotrophic bacterial count enhanced with increasing CO2 levels and indicated higher abundance of labile organic carbon. Thus, the present study indicates that any change in dissolved CO2 concentrations in this area may affect phytoplankton physiology and community structure and needs further long-term study.
    Keywords: Alkalinity, total; Aragonite saturation state; Bacteria, heterotrophic; Bacteria, heterotrophic, standard deviation; Bicarbonate ion; Biomass/Abundance/Elemental composition; Bottles or small containers/Aquaria (〈20 L); Calcite saturation state; Calculated using seacarb after Nisumaa et al. (2010); Carbon, inorganic, dissolved; Carbon, organic, dissolved; Carbon, organic, dissolved, standard deviation; Carbon, organic, dissolved + particulate, net production; Carbon, organic, dissolved + particulate, net production, standard deviation; Carbon, organic, particulate; Carbon, organic, particulate, standard deviation; Carbon/Nitrogen ratio; Carbon/Nitrogen ratio, standard deviation; Carbon/Phosphorus ratio; Carbon/Phosphorus ratio, standard deviation; Carbonate ion; Carbonate system computation flag; Carbon dioxide; Chlorophyll a; Chlorophyll a, standard deviation; Chlorophyll a/Chlorophyll b ratio; Chlorophyll a/particulate organic carbon ratio; Chlorophyll a/particulate organic carbon ratio, standard deviation; Coast and continental shelf; Community composition and diversity; Consumption of carbon, inorganic, dissolved; Consumption of carbon, inorganic, dissolved, standard deviation; Diatoxanthin index; Diatoxanthin index, standard deviation; Dissolved inorganic nitrogen, uptake; Dissolved inorganic nitrogen, uptake, standard deviation; Entire community; Fucoxanthin/chlorophyll a ratio; Fucoxanthin/chlorophyll a ratio, standard devitation; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); Laboratory experiment; Lutein/chlorophyll a ratio; Lutein/chlorophyll a ratio, standard deviation; Neoxanthin/chlorophyll a ratio; Neoxanthin/chlorophyll a ratio, standard deviation; Nitrogen, inorganic, dissolved; Nitrogen, inorganic, dissolved, standard deviation; Nitrogen, inorganic, dissolved/Phosphorus, inorganic, dissolved ratio; Nitrogen, inorganic, dissolved/Phosphorus, inorganic, dissolved ratio, standard deviation; Nitrogen, organic, particulate; Nitrogen, organic, particulate, standard deviation; Nitrogen/Phosphorus ratio; Nitrogen/Phosphorus ratio, standard deviation; Nitrogen/Phosphorus uptake ratio; Nitrogen/Phosphorus uptake ratio, standard deviation; Nitrogen/Silicon ratio; Nitrogen/Silicon ratio, standard deviation; North Pacific; OA-ICC; Ocean Acidification International Coordination Centre; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Particulate organic phosphorus, standard deviation; Pelagos; pH; Phosphorus, inorganic, dissolved; Phosphorus, inorganic, dissolved, standard deviation; Phosphorus, organic, particulate; Phosphorus uptake; Phosphorus uptake, standard deviation; Picoeukaryotes; Picoeukaryotes, standard deviation; Primary production/Photosynthesis; Salinity; Silicate; Silicate, standard deviation; Silicate uptake; Silicon/Nitrogen uptake ratio; Silicon/Nitrogen uptake ratio, standard deviation; Silicon/phosphorus uptake ratio; Silicon/phosphorus uptake ratio, standard deviation; Silicon uptake, standard deviation; Synechococcus; Synechococcus spp., standard deviation; Temperate; Temperature, water; Treatment; Type; Violaxanthin/antheraxanthin ratio; Violaxanthin/antheraxanthin ratio, standard deviation; Violaxanthin/chlorophyll a ratio; Violaxanthin/chlorophyll a ratio, standard deviation; Violaxanthin/Zeaxanthin ratio; Violaxanthin/Zeaxanthin ratio, standard deviation; δ13C; δ13C, standard deviation; δ15N; δ15N, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 679 data points
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  • 8
  • 9
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