J. Geml et al., Naturalis Biodiversity Centre, Leiden
Olive text indicates a specimen that has not been
thoroughly examined (for example, for microscopic details) and marks other places in the text
where data is missing or uncertain.
The following is derived from the annotation of fresh material by the collector and revision by RET.
60–120 mm wide, convex, becoming planoconvex;
context white, unchanging; margin
nonstriate; gluten layer dull brown becoming brown
over disc, elsewhere yellowish-brown to brownish cream.
nearly free, close, white; lamellulae frequent.
up to 100 × 25 mm, whitish at and near apex, white at
base, otherwise covered by gluten, tapering downward to
base in all specimens, surprisingly tough, glutinous;
context white, unchanging??; exannulate ??;
gluten layer as sheath darkening from top to bottom
(pallid to pallid brownish to yellowish brown to
Odor farinaceous. Taste not recorded.
lamella edge tissue
Colorado: At ca. 2600 m elev. In riparian ecosystem,
among litter and woody debris under cottonwoods
(Populus angustifolia), with spruces (Picea
engelmannii) also present. Washington: At 1300 m
elev. In forest of subalpine Abies,
Picea, and Tsuga.
U.S.A.: COLORADO—La Plata
Co. - La Plata Cyn. [ca. 2600 m], 15.viii.2007 M. Kuo
08150714 (in herb. M. Kuo; RET, nrITS seq'd.).
WASHINGTON—Pend Oreille Co. - Sullivan Cr. Rd.,
Gypsy Meadows area [48.9032° N/ 117.081° W, 1300 m],
30.ix.2004 Drew Parker 040930-1 [mushroomobserver
(RET 615-7, nrITS seq'd.).
In Kuo's field notes, he described his collection "large
This species has also been known in these pages as
—R. E. Tulloss and M. Kuo
Information to support the viewer in reading the content of "technical" tabs
can be found here.
Tulloss & Kuo
1. Zhuliangomyces sp-L-CO01, La Plata Co., Colorado,
U.S.A. (Kuo 08150714)
Each spore data set is intended to comprise a set of measurements from a single specimen made by a single observer;
and explanations prepared for this site talk about specimen-observer pairs associated with each data set.
Combining more data into a single data set is non-optimal because it obscures observer differences
(which may be valuable for instructional purposes, for example) and may obscure instances in which
a single collection inadvertently contains a mixture of taxa.