Data Package Summary   View Full Metadata

  • Lake ice seasonality over the past 320–570 years
  • Sharma, Sapna; York University
  • Magnuson, John; University of Wisconsin
  • Batt, Ryan; Rutgers University
  • Winslow, Luke; United States Geological Survey
  • Korhonen, Johanna; Freshwater Centre, Finnish Environment Institute
  • Aono, Yasuyuki; Graduate School of Life and Environmental Sciences, Osaka Prefecture University
  • 2016-07-27
  • Lake and river ice seasonality (dates of ice freeze and breakup) responds sensitively to climatic change and variability. We analyzed climate-related changes using direct human observations of ice freeze dates (1443–2014) for Lake Suwa, Japan, and of ice breakup dates (1693–2013) for Torne River, Finland. We found a rich array of changes in ice seasonality of two inland waters from geographically distant regions: namely a shift towards later ice formation for Suwa and earlier spring melt for Torne, increasing frequencies of years with warm extremes, changing inter-annual variability, waning of dominant inter-decadal quasi-periodic dynamics, and stronger correlations of ice seasonality with atmospheric CO2 concentration and air temperature after the start of the Industrial Revolution. Although local factors, including human population growth, land use change, and water management influence Suwa and Torne, the general patterns of ice seasonality are similar for both systems, suggesting that global processes including climate change and variability are driving the long-term changes in ice seasonality.
  • Geographic Coordinates
    • N: 36.069, S: 36.0255, E: 138.115, W: 138.048
    • N: 66.1087, S: 65.7919, E: 24.2536, W: 23.854
  • Data Policies Copyright Board of Regents, University of Wisconsin, Madison. This information is released to the public and may be used for academic, educational, or commercial purposes subject to the following restrictions: The Data User must realize that these data sets are being actively used by others for ongoing research and that coordination may be necessary to prevent duplicate publication. The Data User is urged to contact the NTL lead Principal Investigator, leadpi@lter.limnology.wisc.edu, to check on other uses of the data. Where appropriate, the Data User may be encouraged to consider collaboration and/or co-authorship with original investigators. The Data User must realize that the data may be misinterpreted if taken out of context. We request that you provide the NTL lead Principal Investigator, ATTN: Data Access, Center for Limnology, University of Wisconsin-Madison, 680 North Park St., Madison, WI 53706 with a copy of any manuscript using the data so that it may be reviewed and comments provided on the presentation of our data. The Data User must acknowledge use of the data by an appropriate citation (see Citation) of the NTL-LTER database. A generic citation for our databases is: name of data set, North Temperate Lakes Long Term Ecological Research program, NSF, contact person for data set, Center for Limnology, University of Wisconsin-Madison. The data set name and contact person for each data set can be found in the metadata header of the online data sets. The Data User must send two reprints of any publications resulting from use of the data to the address above. We would like to include such manuscripts in our LTER publications list. The Data User must not redistribute original data and documentation without permission from Emily Stanley, lead Principal Investigator, (ehstanley@wisc.edu). While substantial efforts are made to ensure the accuracy of data and documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The North Temperate Lakes LTER shall not be liable for damages resulting from any use or misinterpretation of data sets. Data users should be aware that we periodically update data sets. Our goal is to release all long term data associated with core research areas within 2 years of collection. These data and accompanying metadata will be available for download from the NTL-LTER web site. By using these data, the Data User agrees to abide by the terms of this agreement. Thank you for your cooperation.
  • doi:10.6073/pasta/fc51c26b740fa4c10cf27163f8d3ce93
  • https://pasta.lternet.edu/package/eml/knb-lter-ntl/327/1
EDI is proud to be affiliated with the following organizations: DataCite logo DataONE logo ESIP logo re3data logo