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lakemorpho: Calculating lake morphometry metrics in R.

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  • 1US Environmental Protection Agency, Office of Research and Development, National Health and Environmental Effects Research Laboratory, Atlantic Ecology Division, Narragansett, RI, USA.

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Summary
This summary is machine-generated.

The R package lakemorpho estimates lake morphometry metrics using national datasets, addressing data accessibility challenges for ecological modeling. This tool provides key shape and size data for numerous lakes, improving broad-scale limnological studies.

Keywords:
Rlake depthlake morphometrylake volumelimnology

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Area of Science:

  • Limnology
  • Geospatial analysis
  • Ecological modeling

Background:

  • Lake morphometry metrics are crucial for limnological studies but often inaccessible.
  • Data scarcity hinders broad-scale lake ecology modeling.
  • National datasets like digital elevation models and hydrography offer potential for morphometry estimation.

Purpose of the Study:

  • To introduce the R package lakemorpho for estimating lake morphometry metrics.
  • To address the challenge of accessing and utilizing lake morphometry data.
  • To facilitate broader ecological modeling by providing accessible morphometric data.

Main Methods:

  • Utilized national datasets, specifically digital elevation models and hydrography.
  • Developed the R package lakemorpho to process these datasets.
  • Implemented algorithms to estimate various lake morphometry metrics.

Main Results:

  • The lakemorpho package estimates 14 key morphometry metrics, including surface area, volume, and depth.
  • Demonstrated the package's utility with a typical use case example.
  • Successfully leveraged existing national datasets for morphometric estimations.

Conclusions:

  • The lakemorpho R package provides a valuable tool for estimating lake morphometry metrics.
  • Increases the accessibility of essential data for limnological research and ecological modeling.
  • Supports more comprehensive and scalable studies of lake ecosystems.