Acrocordia conoidea (Fr.) Körb. var. glacialis (Bagl. & Carestia) Vězda

Lich. Sel. Exs., 59: 9, 1977. Basionym: Acrocordia glacialis Bagl. & Carestia - Comm. Soc. Critt. Ital., 2, 2: 421, 1867.
Synonyms: Acrocordia conoidea var. glacialis (Bagl. & Carestia) Vězda; Verrucaria glacialis (Bagl. & Carestia) Stizenb.
Distribution: N - VA.
Description: Thallus crustose, ecorticate, endolithic to (very rarely) thinly episubstratic, smooth, effuse, pale grey to brownish grey, often with a pinkish tinge when fresh. Perithecia black, 0.5-0.8 mm across, one quarter- to half-immersed, conical-hemispherical, often flattened and with distinct papillose ostioles. Involucrellum spreading outwards from the exciple; exciple colourless; hymenial gel I-, K/I-; pseudoparaphyses persistent, slender, sparingly branched or anastomosing, long-celled; periphyses absent. Asci 8-spored, narrowly cylindrical, K/I-, fissitunicate, the apical dome with a broad ocular chamber surmounted by a hemispherical meniscus-like structure. Ascospores 1-septate, not or slightly constricted at septum, the septum thick and the cells equal, hyaline, ellipsoid with rounded or rarely pointed ends, 12-13 x 5-6 μm, uniseriately arranged in the asci, surrounded by a perispore which appears verrucose in water, smooth in K. Photobiont trentepohlioid. Spot tests: K-, C-, KC-, P-, UV-. Chemistry: without lichen substances.
Note: a taxon characterised by the small spores; only known from the type locality in the Italian Alps, where it was found on fissures of marble.
Growth form: Crustose endolithic
Substrata: rocks
Photobiont: Trentepohlia
Reproductive strategy: mainly sexual
In underhangs rarely wetted by rain
Poorly known taxon in need of further study

Commonnes-rarity: (info)

Alpine belt: extremely rare
Subalpine belt: extremely rare
Oromediterranean belt: absent
Montane belt: absent
Submediterranean belt: absent
Padanian area: absent
Humid submediterranean belt: absent
Humid mediterranean belt: absent
Dry mediterranean belt: absent

pH of the substrata:


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Altitudinal distribution:


Predictive model