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The following text may make multiple use of each data field.
The field may contain magenta text presenting data from a type study
and/or revision of other original material cited in the protolog of the present taxon.
Macroscopic descriptions in magenta are a combination of data from the protolog and
additional observations made on the exiccata during revision of the cited original
material.
The same field may also contain black text, which is data from a revision of the present
taxon (including non-type material and/or material not cited in the protolog).
Paragraphs of black text will be labeled if further subdivision of
this text is appropriate.
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 material not directly from the protolog
of the present taxon is from the collectors' note,
molecular data supplied by Dr. J. Geml (then at
L) or other original research of RET.
RET: U.S.A.:
OREGON—Klamath Co. - ca. Lake of
the Woods
[42.3427° N/ 122.2238° W, 1580 m], 6.vi.2020 Ronald
L. Pastorino 6-6-20C [mushroomobserver
#413217]
(RET 888-8, nrITS-LSU seq'd.).
WASHINGTON—Skamania Co. - Trout Lake,
Road 23, 22.v.1994 Janet E. Lindgren 94-03 (RET
128-6, nrITS seq'd.).
citations
—R. E. Tulloss & J. E. Lindgren
editors
RET
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name
Amanita alpinicola
name status
nomen acceptum
author
Cripps & J. Lindgr.
images
photo
Ronald L. Pastorino – (1) Lake of the Woods, Klamath Co., Oregon, U.S.A
Ron Pastorino - (2) near Lake of the Woods, Klamath Co., Oregon, (RET 888-8) [Note: Untrimmed and unedited images may be found
here]
name
Amanita alpinicola
name
Amanita alpinicola
Spore data for collections provisionally identified as: Amanita alpinicola Cripps & J. Lindgr.
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.
Spore data sets and their composite