Heliocidaris crassispina (A. Agassiz 1864 )

Yiu, Sam King Fung & Mah, Christopher L., 2024, New Ecological Observations and Occurrence for Asteroidea and Echinoidea in Hong Kong, Zootaxa 5526 (1), pp. 1-69 : 18-19

publication ID

https://doi.org/ 10.11646/zootaxa.5526.1.1

publication LSID

lsid:zoobank.org:pub:987FAD00-32A7-4E38-AFAD-6EAC8D808FB2

DOI

https://doi.org/10.5281/zenodo.14045757

persistent identifier

https://treatment.plazi.org/id/03BF87BF-261E-5D51-61C4-BC2CFB6D4306

treatment provided by

Plazi

scientific name

Heliocidaris crassispina (A. Agassiz 1864 )
status

 

Heliocidaris crassispina (A. Agassiz 1864) View in CoL

FIGURE 9A–B View FIGURE 9

Comments

Heliocidaris crassispina lives on hard substrates in shallow-water dominated by heavy wave action. It has been described as “one of the most common representatives of the subtidal, rocky shore fauna” ( Chiu 1988a: 115) in Hong Kong. Hong Kong populations of this species has been extensively studied by Chiu (1988a, 1988b, 1988 c, 1990) who characterized habitat, distribution, algal grazing, reproductive biology, age and growth. Reproduction was studied by Urriago et al. (2016).

Heliocidaris crassispina was previously placed in the genus Anthocidaris and prior records of this species from Hong Kong and Asia ( Liao & Clark 1995; Shigei 1986) were documented as Anthocidaris crassispina before being synonymized by Hart (2011).

In situ Observation

One individual ( Fig. 9A View FIGURE 9 ) was observed with multiple spines covered by strands of white tissue on the spines and spine tips. A second individual ( Fig. 9B View FIGURE 9 ) was observed entangled in the tissue of an unidentified jellyfish. Although it was unclear if the jellyfish tissue was present around the mouth, it is possible the urchin was scavenging.

Occurrence/Distribution

Hong Kong, 0– 20 m.

Outside Hong Kong, Southern China and southern Japan, Korea, Taiwan. intertidal to 70 m.

GBIF Dataset (for parent article) Darwin Core Archive (for parent article) View in SIBiLS Plain XML RDF