Lichen bioindication of biodiversity, air quality, and climate: baseline results from monitoring in Washington, Oregon, and California.

Jovan, Sarah

doi:10.2737/pnw-gtr-737

Cited by 62 publications

(65 citation statements)

References 50 publications

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“…The possibilities for additional analyses of FIA lichen indicator data are many, and the desire for additional analyses is expected to differ by region depending on particular circumstances and needs (e.g., Jovan 2008). Data users outside the FIA Program also find uses for these data.…”

Section: Analysis For Additional Research and Reportingmentioning

confidence: 99%

Analyzing lichen indicator data in the Forest Inventory and Analysis Program

Will‐Wolf¹

2010

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Section: Analysis For Additional Research and Reportingmentioning

confidence: 99%

Analyzing lichen indicator data in the Forest Inventory and Analysis Program

Will‐Wolf¹

2010

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“…Th is is necessary because most North American studies of N deposition eff ects have not considered substrate pH, deposition pH, or N source when classifying lichens to N indicator groups. Because low-fertility environments are frequently dominated by acidic conifer substrates, and moderate-to high-fertility environments generally include more hardwoods with more neutral bark and more nutrient-enriched canopy drip, the classic and broad terms usually correspond to similar lichen lists (Jovan 2008 Common names for lichens follow the Natural Resources Conservation Service PLANTS database (NRCS 2011). Because many lichen common names in PLANTS are not unique, the scientifi c name and authority are specifi ed when a common name is used for the fi rst time within a chapter.…”

Section: Terminologymentioning

confidence: 99%

“…Forest Inventory and Analysis (FIA) Program lichencommunity based "air scores" are a measure of air quality generated from lichen community data and region-specifi c interpretive models separating air pollution eff ects on community composition from climate, elevation and other site eff ects (Jovan 2008). Models are typically developed from a calibration subset of regional FIA lichen community data using nonmetric multidimensional scaling and Sorenson's distance measure (McCune and Meff ord 1999) to ordinate sites in N-dimensional space.…”

Section: How the Critical Load Value Was Chosenmentioning

confidence: 99%

“…Alterations in species composition may result from shifts in dominance of species present, for epiphytic lichens, for example (Geiser and Neitlich 2007, Jovan 2008, McCune and Geiser 2009), or increased dominance of invasive species, and may lead to signifi cant changes in vegetation. Nitrogen deposition may aff ect species richness and has been implicated in dramatic declines in species richness, for example, in coastal sage scrub 1 , grasslands (Stevens et al 2004).…”

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confidence: 99%

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Assessment of Nitrogen deposition effects and empirical critical loads of Nitrogen for ecoregions of the United States

Pardo¹,

Robin-Abbott²,

Driscoll³

2011

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Human activity in the last century has led to a substantial increase in nitrogen (N) emissions and deposition. This N deposition has reached a level that has caused or is likely to cause alterations to the structure and function of many ecosystems across the United States. One approach for quantifying the level of pollution that would be harmful to ecosystems is the critical loads approach. The critical load is defi ned as the level of a pollutant below which no detrimental ecological effect occurs over the long term according to present knowledge.The objective of this project was to synthesize current research relating atmospheric N deposition to effects on terrestrial and aquatic ecosystems in the United States and to identify empirical critical loads for atmospheric N deposition. The receptors that we evaluated included freshwater diatoms, mycorrhizal fungi and other soil microbes, lichens, herbaceous plants, shrubs, and trees. The main responses reported fell into two categories: (1) biogeochemical, and (2) individual species, population, and community responses.The range of critical loads for nutrient N reported for U.S. ecoregions, inland surface waters, and freshwater wetlands is 1 to 39 kg N ha -1 y -1. This broad range spans the range of N deposition observed over most of the country. The empirical critical loads for N tend to increase in the following sequence for different life forms: diatoms, lichens and bryophytes, mycorrhizal fungi, herbaceous plants and shrubs, trees.The critical loads approach is an ecosystem assessment tool with great potential to simplify complex scientifi c information and effectively communicate with the policy community and the public. This synthesis represents the fi rst comprehensive assessment of empirical critical loads of N for ecoregions across the United States.

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“…Price & Hochachka 2001;Scheidegger et al 2002;Hedenås & Ericson 2008;Fedrowitz et al 2012) and pollution (e.g. Goward & Arsenault 2000;Jovan 2008). The largest group of lichenized Ascomycota featuring cyanobacteria as the main or sole photobiont is Peltigerales in the Lecanoromycetes (Wiklund & Wedin 2003;Lumbsch et al 2004;Wedin et al 2005;Schoch et al 2009;Miądlikowska et al 2014;Rikkinen 2015).…”

Section: Introductionmentioning

confidence: 99%

Collolechiarevisited and a re-assessment of ascus characteristics inPlacynthiaceae(Peltigerales, Ascomycota)

Košuthová

Fernández-Brime²,

Westberg³

et al. 2016

The Lichenologist

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This is the published version of a paper published in The Lichenologist. Citation for the original published paper (version of record):Kosuthova, A., Fernández-Brime, S., Westberg, M., Wedin, M. (2016) Collolechia revisited and a re-assessment of ascus characteristics in Placynthiaceae (Peltigerales, Ascomycota). Collolechia revisited and a re-assessment of ascus characteristics in Placynthiaceae (Peltigerales, Ascomycota)Alica KOŠUTHOVÁ, Samantha FERNÁNDEZ-BRIME, Martin WESTBERG and Mats WEDIN Abstract: We investigated the phylogenetic relationships in the cyanolichen family Placynthiaceae to test the current generic delimitations, where the monotypic Collolechia is currently accepted as distinct, based on differences in ascospores, ascus apex characteristics and the leprose thallus. Bayesian and maximum likelihood phylogenetic analyses of two sequence marker datasets confirmed that Collolechia caesia is nested within Placynthium, and should be called Placynthium caesium (Fr.) Jatta. We reassessed the spore and ascus characteristics and showed that Placynthium caesium falls well within the variation in Placynthium and is thus yet another example of a species that differs from close relatives by its crustose-leprose thallus structure.

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Lichen bioindication of biodiversity, air quality, and climate: baseline results from monitoring in Washington, Oregon, and California.

Cited by 62 publications

References 50 publications

Analyzing lichen indicator data in the Forest Inventory and Analysis Program

Analyzing lichen indicator data in the Forest Inventory and Analysis Program

Assessment of Nitrogen deposition effects and empirical critical loads of Nitrogen for ecoregions of the United States

Collolechiarevisited and a re-assessment of ascus characteristics inPlacynthiaceae(Peltigerales, Ascomycota)

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