National Atlas Of Epiphytic Lichens In Forested Habitats Of The United States PDF Download

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National Atlas of Epiphytic Lichens in Forested Habitats of the United States

National Atlas of Epiphytic Lichens in Forested Habitats of the United States
Author: Sarah Jovan
Publisher:
Total Pages: 104
Release: 2021
Genre: Epiphytic lichens
ISBN:

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"Between 1989 and 2012, three Forest Service programs collected more than 8,300 surveys of epiphytic lichen communities, providing a baseline for tracking lichen responses to air quality, climate, and other changes on forest land in the United States. This national atlas of lichen species combines these datasets into distribution maps for more than 400 taxa and 6,000 forested locations across the country. All 115,500 lichen records presented in the maps link to voucher specimens, most of which can be accessed from herbaria. Unlike mapped herbarium records, most surveys were collected on a systematic national grid. Therefore, the absence of a species at a particular location can indicate meaningful information about its geographic distribution. Facets of the survey protocol, however, likely lead to the underrepresentation of rare, cryptic, and otherwise easily overlooked species in the dataset. Each species search lasted 2 hours, covering a nearly 1-a area in which surveyors aimed to capture all epiphytic macrolichens. Surveyors possessed various skill levels but underwent annual training, certification, and field audits by professional lichenologists. During the 23 years of data collection, many lichen names and species concepts have changed. This atlas dataset is the first to unite all records across the three parent programs by using a consistent taxonomic treatment. In some cases, maps represent "lumped" taxa or show only records from restricted timeframes. The species distribution maps, Atlas dataset, and tools for designing custom datasets are published online at https://www.fia.fs.fed.us/program-features/indicators/lichen."


Vertical Distribution of Epiphytic Lichens on Three Tree Species in Yellowstone National Park

Vertical Distribution of Epiphytic Lichens on Three Tree Species in Yellowstone National Park
Author: Sharon Eversman
Publisher:
Total Pages: 5
Release: 1987
Genre: Lichens
ISBN:

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Twelve species of lichens were recorded as epiphytes on the trunks of Pinus contorta Dougl., P. albicaulis Englm. and Abies lasiocarpa (Hook.) Nutt. in the lodgepole pine zone of Yellowstone National Park. All 12 species were on A. lasiocarpa; nine were on P. albicaulis, and five were on P. contorta. The most frequent lichen species were Lecanora piniperda Korb., Parmelia exasperatula Nyl., and Bryoria lanestris (Ach.) Brodo & Hawksw. Lichens were most frequent more than two meters above the ground.


Field Guide to the Lichens of Great Smoky Mountains National Park

Field Guide to the Lichens of Great Smoky Mountains National Park
Author: Erin Anne Tripp
Publisher: Univ Tennessee Press
Total Pages: 0
Release: 2020
Genre: Nature
ISBN: 9781621905141

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With 909 recognized species of lichens, Great Smoky Mountains National Park (GSMNP) is home to more of these lichenized fungi than any other national park in the United States, as well as nearly half of all species known to occur in eastern North America. There is a great deal of room for scientific exploration, inquiry, and systematic description in the realm of lichenology. In Field Guide to the Lichens of Great Smoky Mountains National Park, Erin Tripp and James Lendemer take on the formidable task of creating an all-in-one resource for Park exploration, including lichen distribution maps, tools for identification, vivid photographs and illustrations, and even field notes from their own research campaigns. In the process, the authors create a touchstone for lichen taxonomy and ecology, and they inspire others--researchers as well as casual observers--to take interest in the incredible biodiversity of the Great Smoky Mountains. Biologists, botanists, visitors to the park, naturalists, and others interested in the flora and fauna of both the southern Appalachians and GSMNP will thoroughly enjoy this lovingly prepared field guide. ERIN TRIPP is an assistant professor of ecology and evolutionary biology as well as curator of botany at the University of Colorado. Her works include Field Guide to the Lichens of White Rocks and publications in prestigious scientific journals, such as Trends in Ecology & Evolution, Journal of Biogeography, Systematic Botany, and Moleculer Ecology. JAMES LENDEMER is an assistant curator at the Institute of Systematic Botany, New York Garden. His works include Delmarva Lichens, An Illustrated Guide and publications in prestigious scientific journals, such as BioScience, Biodiversity & Conservation, The Bryologist, Mycologia, and the Journal of the Torrey Botanical Society.


Analyzing Lichen Indicator Data in the Forest Inventory and Analysis Program

Analyzing Lichen Indicator Data in the Forest Inventory and Analysis Program
Author: Will-Wolf
Publisher: CreateSpace
Total Pages: 70
Release: 2015-01-03
Genre:
ISBN: 9781505907261

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Lichens are one of several forest health indicators sampled every year for a subset of plots on the permanent grid established by the Forest Inventory and Analysis (FIA) Program of the U.S. Department of Agriculture Forest Service. This report reviews analysis procedures for standard FIA lichen indicator data. Analyses of lichen data contribute to state, regional, and national reports that evaluate spatial pattern and temporal trends in forest biodiversity, air quality, and climate. Data collection and management follow standard national protocols. A lichen species richness index (the number of species per FIA plot) is available for all areas soon after data collection. Air quality and climate indexes (for defined regional gradients and based on lichen species composition at plots) are developed from an FIA lichen gradient model. Critical steps in standard data analysis include screening plots to exclude biased data, selection of appropriate populations, then analysis, presentation, and interpretation of data.