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  • Creating multi-themed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method
  • Cheruvelil, Kendra; Michigan State University
  • Yuan, Shuai; Michigan State University
  • Webster, Katherine; Trinity College
  • Tan, Pang-Ning; Michigan State University
  • Lapierre, Jean-Francois; University of Montreal
  • Collins, Sarah; University of Wisconsin
  • Fergus, C.; Michigan State University
  • Scott, Caren; Michigan State University
  • Henry, Emily; Michigan State University
  • Soranno, Patricia; Michigan State University
  • Filstrup, Chris; Iowa State University
  • 2016-08-10
  • Cheruvelil K., S. Yuan, K. Webster, P. Tan, J. Lapierre, S. Collins, C. Fergus, C. Scott, E. Henry, P. Soranno, C. Filstrup. 2016. Creating multi-themed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible clustering method. Environmental Data Initiative. http://dx.doi.org/10.6073/pasta/1532a9a0c023fa50a912021291c8fc1f. Dataset accessed 1/21/2018.
  • This dataset was created for the following publication: Cheruvelil, K.S., S. Yuan, K.E. Webster, P.-N. Tan, J.-F. Lapierre, S.M. Collins, C.E. Fergus, C.E. Scott, E.N. Henry, P.A. Soranno, C.T. Filstrup, T. Wagner. Under review. Creating multi-themed ecological regions for macrosystems ecology: Testing a flexible, repeatable, and accessible clustering method. Submitted to Ecology and Evolution July 2016. This dataset includes lake total phosphorus (TP) and Secchi data from summer, epilimnetic water samples, as well as 52 geographic variables at the HU-12 scale; it is a subset of the larger LAGOS-NE database (Lake multi-scaled geospatial and temporal database, described in Soranno et al. 2015). LAGOS-NE compiles multiple, individual lake water chemistry datasets into an integrated database. We accessed LAGOSLIMNO version 1.054.1 for lake water chemistry data and LAGOSGEO version 1.03 for geographic data. In the LAGOSLIMNO database, lake water chemistry data were collected from individual state agency sampling and volunteer programs designed to monitor lake water quality. Water chemistry analyses follow standard lab methods. In the LAGOSGEO database geographic data were collected from national scale geographic information systems (GIS) data layers. The dataset is a subset of the following integrated databases: LAGOSLIMNO v.1.054.1 and LAGOSGEO v.1.03. For full documentation of these databases, please see the publication below: Soranno, P.A., E.G. Bissell, K.S. Cheruvelil, S.T. Christel, S.M. Collins, C.E. Fergus, C.T. Filstrup, J.F. Lapierre, N.R. Lottig, S.K. Oliver, C.E. Scott, N.J. Smith, S. Stopyak, S. Yuan, M.T. Bremigan, J.A. Downing, C. Gries, E.N. Henry, N.K. Skaff, E.H. Stanley, C.A. Stow, P.-N. Tan, T. Wagner, K.E. Webster. 2015. Building a multi-scaled geospatial temporal ecology database from disparate data sources: Fostering open science and data reuse. GigaScience 4:28 doi:10.1186/s13742-015-0067-4 .
  • N: 46.804      S: 34.716      E: -67.091      W: -97.904
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  • doi:10.6073/pasta/1532a9a0c023fa50a912021291c8fc1f
  • https://pasta.lternet.edu/package/eml/knb-lter-ntl/328/2
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