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  • Long-term measurements of algal biomass in Sycamore Creek, Arizona, USA (1985-2019)
  • Grimm, Nancy; Arizona State University
    Sabo, John; Arizona State University
    Bonjour, Sophia; Arizona State University
    Dong, Xiaoli; University of California, Davis
    Handler, Amalia; USEPA National Health and Environmental Effects
    Kemmitt, Kathrine; Wenck
    Lauck, Marina; Arizona State University
    Palta, Monica; Pace University
    Pollard, Lindsey; Arizona State University
  • 2020-09-04
  • Grimm, N., J. Sabo, S. Bonjour, X. Dong, A. Handler, K. Kemmitt, M. Lauck, M. Palta, and L. Pollard. 2020. Long-term measurements of algal biomass in Sycamore Creek, Arizona, USA (1985-2019) ver 1. Environmental Data Initiative. https://doi.org/DOI_PLACE_HOLDER (Accessed 2024-12-27).

  • The primary objective of this project is to understand how long-term climate variability and change influence the structure and function of desert streams via effects on hydrologic disturbance regimes. Climate and hydrology are intimately linked in arid landscapes; for this reason, desert streams are particularly well suited for both observing and understanding the consequences of climate variability and directional change. Researchers try to (1) determine how climate variability and change over multiple years influence stream biogeomorphic structure (i.e., prevalence and persistence of wetland and gravel-bed ecosystem states) via their influence on factors that control vegetation biomass, and (2) compare interannual variability in within-year successional patterns in ecosystem processes and community structure of primary producers and consumers of two contrasting reach types (wetland and gravel-bed stream reaches). This dataset was collected to understand changes of algal growth by month during the field season and same season in different years characterized by different hydrological regime. In 2009 and 2013, data was collected in both wetland reach and gravel reach to compare the difference of algal growth in two reach types in the same time of the year. Data collected in 1980s and 1990s include two reach types: riffle and run, and were also to understand the post-flood succession. As sample collection and processing methodologies changed over the course of the long-term study, methods specific to distinct sampling periods are provided.

  • N: 33.7907      S: 33.7266      E: -111.5013      W: -111.5254
  • knb-lter-cap.593.1  (Uploaded 2020-09-04)  
  • This data package is released to the "public domain" under Creative Commons CC0 1.0 "No Rights Reserved" (see: https://creativecommons.org/publicdomain/zero/1.0/). The consumer of these data ("Data User" herein) has an ethical obligation to cite it appropriately in any publication that results from its use. The Data User should realize that these data may be 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 authors of these data if any questions about methodology or results occur. Where appropriate, the Data User is encouraged to consider collaboration or coauthorship with the authors. The Data User should realize that misinterpretation of data may occur if used out of context of the original study. While substantial efforts are made to ensure the accuracy of data and associated documentation, complete accuracy of data sets cannot be guaranteed. All data are made available "as is". The Data User should be aware, however, that data are updated periodically and it is the responsibility of the Data User to check for new versions of the data. The data authors and the repository where these data were obtained shall not be liable for damages resulting from any use or misinterpretation of the data. Thank you.
  • DOI PLACE HOLDER
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