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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
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Creating multithemed ecological regions for macroscale ecology: Testing a flexible, repeatable, and accessible

Kendra Spence Cheruvelil1, Shuai Yuan2, Katherine E Webster3

  • 1Department of Fisheries and Wildlife & Lyman Briggs College Michigan State University East Lansing MI USA.

Ecology and Evolution
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Summary

New reproducible ecological regions were created using diverse data, capturing significant lake water quality variations. This method enhances ecological research and management across macroscales.

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constrained spectral clusteringecoregionsgeospatial variableslakelandscapemacroecologymacrosystemsregional spatial scaleregionalizationspatial heterogeneity

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Area of Science:

  • Ecology
  • Geospatial Science
  • Environmental Science

Background:

  • Ecological regions are crucial for understanding macroscale patterns but often lack reproducibility and customization.
  • Existing regions use limited data and methods, hindering broad ecological applications.

Purpose of the Study:

  • To develop a customizable and reproducible method for creating ecological regions using advanced computational techniques.
  • To make this algorithm accessible for diverse ecological research and management needs.
  • To assess the effectiveness of these new regions in capturing regional lake water quality variation.

Main Methods:

  • Applied a spatially constrained spectral clustering algorithm to integrate terrestrial, climatic, and freshwater geospatial data.
  • Delineated 100 ecological regions across 17 northeastern U.S. states (~1,800,000 km²).
  • Analyzed the influence of 52 geospatial features and tested region performance on lake water quality data (~6,000 lakes).

Main Results:

  • Region delineation was influenced by a combination of terrestrial, climatic, and freshwater data, highlighting the importance of freshwater metrics.
  • The created regions explained approximately 40% of the macroscale variation in lake total phosphorus and water clarity.
  • Freshwater landscape data provided novel insights into variability not captured by traditional metrics.

Conclusions:

  • The developed method offers a powerful, reproducible approach for creating customizable ecological regions.
  • These regions effectively capture macroscale heterogeneity in ecosystem properties, improving ecological research.
  • The findings support the use of integrated geospatial data for enhanced environmental management and research applications.