2000
DOI: 10.1139/b99-144
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Species richness and abundance of ectomycorrhizal basidiomycete sporocarps on a moisture gradient in the Tsuga heterophylla zone

Abstract: Sporocarps of epigeous ectomycorrhizal fungi and vegetation data were collected from eight Tsuga heterophylla (Raf.) Sarg. - Pseudotsuga menziesii (Mirb.) Franco stands along a wet to dry gradient in Olympic National Park, Washington, U.S.A. One hundred and fifty species of ectomycorrhizal fungi were collected from a total sample area of 2.08 ha. Over 2 years, fungal species richness ranged from 19 to 67 taxa per stand. Sporocarp standing crop ranged from 0 to 3.8 kg/ha, averaging 0.58 kg/ha, 0.06 kg/ha in spr… Show more

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Cited by 50 publications
(64 citation statements)
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“…This may suggest that our sampling effort was insufficient to detect many rare taxa. However, the dominance of rare taxa occurs in species-rich ECM assemblages of old sampled stands (old-growth stage; O'Dell et al 1999;Richard et al 2005;Smith et al 2002). The ECM communities may thus reflect more the age of the tree individuals (age of root systems) than the age of stems since the last clear-cut.…”
Section: Structure and Richness Of Ecm Communities In Q Ilex Coppicesmentioning
confidence: 99%
“…This may suggest that our sampling effort was insufficient to detect many rare taxa. However, the dominance of rare taxa occurs in species-rich ECM assemblages of old sampled stands (old-growth stage; O'Dell et al 1999;Richard et al 2005;Smith et al 2002). The ECM communities may thus reflect more the age of the tree individuals (age of root systems) than the age of stems since the last clear-cut.…”
Section: Structure and Richness Of Ecm Communities In Q Ilex Coppicesmentioning
confidence: 99%
“…These include variations in precipitation, temperature, frost, evapotranspiration, relative humidity, and water deficits [16,21,23,31,34].…”
Section: Introductionmentioning
confidence: 99%
“…Since annual mushroom production varies considerably in response to weather conditions, the construction of reliable models for predicting mushroom yields requires collecting large quantities of empirical data over several years because there are multiple factors responsible for high temporal variation in mushroom productions: precipitation, temperature, frost, evapotranspiration, relative humidity, and water def icits (Wilkins and Harris, 1946;Ohenoja, 1993;O'Dell et al, 1999;Straatsma et al, 2001;Martínez de Aragón et al, 2007).…”
Section: Mushroomsmentioning
confidence: 99%