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  • Long-term trends and synchrony in dissolved organic matter characteristics in Wisconsin, USA lakes: quality, not quantity, is highly sensitive to climate
  • Jane, Stephen; Rensselaer Polytechnic Institute
  • Winslow, Luke; Rensselaer Polytechnic Institute
  • Remucal, Christina; University of Wisconsin
  • Rose, Kevin; Rensselaer Polytechnic Institute
  • 2016-10-04
  • Jane S., L. Winslow, C. Remucal, K. Rose. 2016. Long-term trends and synchrony in dissolved organic matter characteristics in Wisconsin, USA lakes: quality, not quantity, is highly sensitive to climate. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/6038bd9745347610df8a51c92ca0e452. Dataset accessed 1/23/2018.
  • Dissolved organic matter (DOM) is a fundamental driver of many lake processes. In the past several decades, many lakes have exhibited a substantial increase in DOM quantity, measured as dissolved organic carbon (DOC) concentration. While increasing DOC is now widely recognized, fewer studies have sought to understand how characteristics of DOM (DOM quality) change over time. Quality can be measured in several ways, including the optical characteristics spectral slope (S275-295), spectral ratio (SR), absorbance at 254 nm (a254), and DOC-specific absorbance (SUVA; a254:DOC). However, long-term measurements of quality are not nearly as common as long-term measurements of DOC concentration. We used 24 years of DOC and absorbance data for seven lakes in the North Temperate Lakes Long Term Ecological Research site in northern Wisconsin, USA to examine temporal trends and synchrony in both DOC concentration and quality. We predicted lower SR and S275-295 and higher a254 and SUVA trends, consistent with increasing DOC and greater allochthony. DOC concentration exhibited both significant positive and negative trends among lakes. In contrast, DOC quality exhibited trends suggesting reduced allochthony or increased degradation, with significant long-term increases in SR in three lakes. Patterns and synchrony of DOM quality parameters suggest they are more responsive to climatic variations than DOC concentration. SUVA in particular tended to increase with greater moisture and decrease with drier conditions. These results demonstrate that DOC quantity and quality can exhibit different complex long-term trends and responses to climate components, with important implications for aquatic ecosystems.
  • Geographic Coordinates
    • N: 46.0481, S: 46.0252, E: -89.6124, W: -89.6458
    • N: 46.008, S: 46.0071, E: -89.6057, W: -89.6068
    • N: 46.0047, S: 45.9989, E: -89.6082, W: -89.6191
    • N: 46.0273, S: 46.0051, E: -89.5935, W: -89.6335
    • N: 46.0158, S: 46.0024, E: -89.6945, W: -89.7045
    • N: 46.0417, S: 46.0407, E: -89.6854, W: -89.6869
    • N: 46.079, S: 46.0131, E: -89.6464, W: -89.7038
  • 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/6038bd9745347610df8a51c92ca0e452
  • https://pasta.lternet.edu/package/eml/knb-lter-ntl/329/8
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