North Carolina: Singly or in small groups.
At 125 m elev. In forest of
Quercus, Liriodendron tulipifera,
Carya, Acer, Fagus grandifolia,
Liquidambar styraciflua, and Pinus taeda.
CONNECTICUT—New London Co. - East
Lyme, Nehantic St. For., 31.vii.2015 unkn. coll. s.n.
[Tulloss 7-31-15-F] (RET 704-6, nrITS & nrLSU
GEORGIA—Harris Co. - unkn. loc.,
n.d. Willam Jake Langer Parkes s.n. [mushroomobserver
(RET 819-10, nrITS & nrLSU seq'd.).
ILLINOIS—Cook Co. - Willow Springs,
Bullfrog Lk., 11.viii.2001 John Denk et al. BF 4 (RET
360-6, nrITS & nr LSU seq'd.).
MARYLAND—Harford Co. - Little
Gunpowder Falls Tr. [39.4763° N/ 76.4083° W, 69 m],
8.vii.2018 Ryan Pridgeon s.n. [mushroomobserver
(RET 859-6, nrITS & nrLSU seq'd.).
NORTH CAROLINA—Wake Co. - Raleigh,
Umstead St. Pk. [35.8725º N/ 78.761º W, 125 m],
25.vi.2017 Geoff Balme s.n. [mushroomobserver
(RET 800-10, nrITS & nrLSU seq'd.).
This taxon is one of a small group that is
Crassiputamen." This group
appears to share a common nrLSU sequence, while the
members have unique nrITS sequences and are
morphologically distinct. To see more about
this group and why it is proposed, see the discussion
data field of the
Before this situation was clarified by larger sample
sizes, this site separated and recombined species in
group several times. In particular, the present
species has been combined in the past with
Further morphological study of the group is on-going.
—R. E. Tulloss and L. V. Kudzma
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can be found here.
Tulloss & Kudzma
1. Amanita sp-N66, Nehantic St. For., East Lyme, New London Co., Connecticut, U.S.A. (RET 704-6)
RET & Mary K. Tulloss - (1) Nehantic State Forest,
East Lyme, New London County, Connecticut,
U.S.A. (RET 704-6)
Spore data for collections provisionally identified as: Amanita sp-N66 Tulloss & Kudzma
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.