GLORIA

GEOMAR Library Ocean Research Information Access

X
feed icon rss

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
  • 1
    Online Resource
    Online Resource
    Lake Taihu, China : Dynamics and Environmental Change. (2008)
    Dordrecht :Springer Netherlands,
    Details
    Keywords: Lake ecology--China--Tai Lake. ; Water levels--China--Tai Lake. ; Eutrophication--China--Tai Lake. ; Plants--Effect of water levels on--China--Tai Lake. ; Freshwater animals--Effect of water levels on--China--Tai Lake. ; Electronic books.
    Description / Table of Contents: Lake Taihu, located in the delta of Yangtze River, is a typical large, shallow eutrophic lake. This book provides basic data on various aspects of this lake and summarizes research work on the interaction between its ecology and physical limnology.
    Type of Medium: Online Resource
    Pages: 1 online resource (352 pages)
    Edition: 1st ed.
    ISBN: 9781402085550
    Series Statement: Monographiae Biologicae Series ; v.87
    URL: https://ebookcentral.proquest.com/lib/geomar/detail.action?docID=367420
    DDC: 577.630951136
    Language: English
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    GEOMAR EBL
  • 2
    Electronic Resource
    Electronic Resource
    Evaluation of the Climatic Change Impacts on the Inland Lake – A Case Study of Lake Qinghai, China (1998)
    Springer
    Climatic change 39 (1998), S. 695-714 
    Details
    ISSN: 1573-1480
    Source: Springer Online Journal Archives 1860-2000
    Topics: Geosciences , Physics
    Notes: Abstract A catchment model coupled with a lake thermal model has been used to simulate the lake water balance of Lake Qinghai, a large inland lake on the northeast Qinghai-Tibet Plateau in China. The sensitivity analyses show that changes in precipitation will produce larger changes in runoff than temperature and cloudiness, whereas changes in lake level are equally sensitive to changes in temperature and precipitation. With a doubling of CO2 in the atmosphere, four GCMs experiments predict warmer and wetter conditions in the Qinghai region than at present. The total runoff in the lake basin and evaporation will, in most cases, increase as conditions become warmer and wetter. The lake level changes would remain uncertain because the effects of an increase in precipitation are countered by the rise of temperature.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1005319616456
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    Paper (German National Licenses)
    Fulltext
  • 3
    facet.materialart.
    Unknown
    Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems (2015)
    ESA
    In:  Ecological Applications, 25 (1). pp. 186-199.
    Details
    Publication Date: 2017-09-20
    Description: A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply. Physicochemical, biological, and meteorological observations were collated from 20 lakes located at different latitudes and characterized by a range of sizes and trophic states. Using these data, we built a Bayesian network to (1) analyze the sensitivity of cyanobacterial bloom development to different environmental factors and (2) determine the probability that cyanobacterial blooms would occur. Blooms were classified in three categories of hazard (low, moderate, and high) based on cell abundances. The most important factors determining cyanobacterial bloom occurrence were water temperature, nutrient availability, and the ratio of mixing depth to euphotic depth. The probability of cyanobacterial blooms was evaluated under different combinations of total phosphorus and water temperature. The Bayesian network was then applied to quantify the probability of blooms under a future climate warming scenario. The probability of the “high hazardous” category of cyanobacterial blooms increased 5% in response to either an increase in water temperature of 0.8°C (initial water temperature above 24°C) or an increase in total phosphorus from 0.01 mg/L to 0.02 mg/L. Mesotrophic lakes were particularly vulnerable to warming. Reducing nutrient concentrations counteracts the increased cyanobacterial risk associated with higher temperatures.
    Type: Article , PeerReviewed
    Format: text
    DOI: 10.1890/13-1677.1
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    OceanRep: Article in a Scientific Journal - peer-reviewed
  • 4
    facet.materialart.
    Unknown
    Determining the probability of cyanobacterial blooms: the application of Bayesian networks in multiple lake systems (2015)
    Wiley-Blackwell
    Details
    Publication Date: 2015-01-01
    Description: A Bayesian network model was developed to assess the combined influence of nutrient conditions and climate on the occurrence of cyanobacterial blooms within lakes of diverse hydrology and nutrient supply. Physicochemical, biological, and meteorological observations were collated from 20 lakes located at different latitudes and characterized by a range of sizes and trophic states. Using these data, we built a Bayesian network to (1) analyze the sensitivity of cyanobacterial bloom development to different environmental factors and (2) determine the probability that cyanobacterial blooms would occur. Blooms were classified in three categories of hazard (low, moderate, and high) based on cell abundances. The most important factors determining cyanobacterial bloom occurrence were water temperature, nutrient availability, and the ratio of mixing depth to euphotic depth. The probability of cyanobacterial blooms was evaluated under different combinations of total phosphorus and water temperature. The Bayesian network was then applied to quantify the probability of blooms under a future climate warming scenario. The probability of the ?high hazardous? category of cyanobacterial blooms increased 5% in response to either an increase in water temperature of 0.8°C (initial water temperature above 24°C) or an increase in total phosphorus from 0.01 mg/L to 0.02 mg/L. Mesotrophic lakes were particularly vulnerable to warming. Reducing nutrient concentrations counteracts the increased cyanobacterial risk associated with higher temperatures. # doi:10.1890/13-1677.1
    Print ISSN: 1051-0761
    Electronic ISSN: 1939-5582
    Topics: Biology
    Published by Wiley-Blackwell on behalf of The Ecological Society of America (ESA).
    Location Call Number Limitation Availability
    BibTip Others were also interested in ...
    PAPER CURRENT
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...