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Lichens in Diverse Landscapes: EREN-NEON Flexible Learning Project

Author(s): Danielle Garneau1, Matthew Joshua Heard2, Mary Beth Kolozsvary3

1. SUNY Plattsburgh 2. Belmont University 3. Siena College

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Summary:
This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field data, to better understand how lichens respond to…

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This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field data, to better understand how lichens respond to changes

Licensed under CC Attribution-ShareAlike 4.0 International according to these terms

Version 1.0 - published on 18 Aug 2020 doi:10.25334/74EK-GC54 - cite this

Description

Lichens are well-known sentinels of problems with air quality. This project makes use of publicly-available datasets on lichen presence and abundance and wet deposition, paired with geospatial data on air quality, tree canopy cover, and locally collected field data, to better understand how lichens respond to anthropogenic environmental pressures. Lichens will be related to environmental variables at a variety of spatial scales, from tree bark substrates to regional patterns of air quality. Students and instructors will explore and gain experience with GIS, NEON data, statistical analyses, and field data collection as part of this project. This project can be the subject of a course laboratory activity lasting between 1 and 3 weeks. 

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