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Zhang, Jie; Zhang, Lanlan; Xiang, Rong; Suzuki, Noritoshi; Qiu, Zhuoya; Zhang, Qiang (2020): Radiolarian biogeographic contrast between spring of 2017 and winter of 2017-2018 in the South China Sea and Malacca Strait [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.921641

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Abstract:
Radiolarians are planktonic protozoon that play an important role in marine ecosystem and paleoenvironmental construction. The South China Sea (SCS) and Malacca Strait (MLS), strongly influenced by the East Asian monsoon, are the key gateway between the Pacific and Indian Oceans. However, a few plankton studies of radiolarians are performed during winter and spring in the SCS and MLS due to the adverse sea conditions. In this study the use of a ship-board plankton net rendered it possible to obtain shallow water samples (~5 m depth) along transects from the northern SCS to MLS during the spring of 2017 and winter of 2017-2018. The results show that partitioning among Spumellaria, Nassellaria and Collodaria radiolarians differed spatially and seasonally. The high partition of Collodaria and low partition of Nassellaria are potential indicators of the strongly stratified waters with low nutrients for paleoceanographic studies in the slope and basin SCS. The radiolarian assemblages in the MLS are quite different from those in the SCS, that is, the two communities are largely independent, suggesting that advective transport between the MLS and SCS is rare. There are obvious seasonal variations in species diversity and abundance in both the MLS and SCS, generally with higher biodiversity and maximum abundances in winter. The results of Q-mode cluster analysis showed that radiolarian assemblages during winter were grouped together in the slope and basin SCS, and their distributions had moved to the southwest relative to those in spring. The results demonstrate the East Asian monsoon has a significant controlling effect on radiolarian diversity and geographic distribution in the studied areas. We also established five candidates for weakly stratified waters with high nutrients: Archiperidium hexacantha, Acanthodesmia vinculatus, Peromelissa phalacra, Dictyocoryne muelleri, and Tetrapyle octacantha. Thus, this study increases the knowledge of radiolarian geographic distribution in the tropics as a whole, as well as revealing the sensitive response of radiolarians to the regional environments, a fact which may prove useful for reconstructing the paleoceanographic changes.
Keyword(s):
Biodiversity; East Asian monsoon; Geographic distribution; Living radiolarians; tropics
Supplement to:
Zhang, Jie; Zhang, Lanlan; Xiang, Rong; Suzuki, Noritoshi; Qiu, Zhuoya; Zhang, Qiang (2020): Radiolarian biogeographic contrast between spring of 2017 and winter of 2017–2018 in the South China sea and Malacca Strait. Continental Shelf Research, 208, 104245, https://doi.org/10.1016/j.csr.2020.104245
Coverage:
Median Latitude: 9.100147 * Median Longitude: 107.557206 * South-bound Latitude: 1.220000 * West-bound Longitude: 98.590000 * North-bound Latitude: 21.830000 * East-bound Longitude: 113.860000
Event(s):
SCS/MS_1  * Latitude Start: 21.830000 * Longitude Start: 113.860000 * Latitude End: 21.280000 * Longitude End: 113.480000 * Location: South China Sea * Method/Device: Water sample (WS) * Comment: Sampled between 2017-2018
SCS/MS_2  * Latitude Start: 21.240000 * Longitude Start: 113.450000 * Latitude End: 20.500000 * Longitude End: 112.530000 * Location: South China Sea * Method/Device: Water sample (WS) * Comment: Sampled between 2017-2019
SCS/MS_4  * Latitude Start: 19.510000 * Longitude Start: 112.510000 * Latitude End: 18.590000 * Longitude End: 111.960000 * Location: South China Sea * Method/Device: Water sample (WS) * Comment: Sampled between 2017-2020
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Event labelEventZhang, Jie
IdentificationIDZhang, Jie
Time coverageCoverageZhang, Jie
LONGITUDELongitudeZhang, JieGeocode
LATITUDELatitudeZhang, JieGeocode
LONGITUDELongitudeZhang, JieGeocode
LATITUDELatitudeZhang, JieGeocode
Acanthodesmia vinculataA. vinculata#Zhang, JieCounting, radiolarians
Acrobotrissa cf. cribrosaA. cf. cribrosa#Zhang, JieCounting, radiolarians
10 Actinomma arcadophorumA. arcadophorum#Zhang, JieCounting, radiolarians
11 Amphispyris hertwigiA. hertwigi#Zhang, JieCounting, radiolarians
12 Amphispyris reticulataA. reticulata#Zhang, JieCounting, radiolarians
13 Arachnocorys circumtextaA. circumtexta#Zhang, JieCounting, radiolarians
14 Arachnosphaera myriacanthaA. myriacantha#Zhang, JieCounting, radiolarians
15 Archiperidium hexacanthaA. hexacantha#Zhang, JieCounting, radiolarians
16 Astrosphaera hexagonalisA. hexagonalis#Zhang, JieCounting, radiolarians
17 Botryocyrtis scutumB. scutum#Zhang, JieCounting, radiolarians
18 Buccinosphaera invaginataB. invaginata#Zhang, JieCounting, radiolarians
19 Centrocubus octostylusC. octostylus#Zhang, JieCounting, radiolarians
20 Dictyoceras virchowiiD. virchowii#Zhang, JieCounting, radiolarians
21 Dictyocoryne elegansD. elegans#Zhang, JieCounting, radiolarians
22 Dictyocoryne muelleriD. muelleri#Zhang, JieCounting, radiolarians
23 Dictyocoryne profundaD. profunda#Zhang, JieCounting, radiolarians
24 Dictyocoryne truncatumD. truncatum#Zhang, JieCounting, radiolarians
25 Dictyocryphalus? variabilisD. variabilis#Zhang, JieCounting, radiolarians
26 Dictyocryphalus? acrostomaD. acrostoma#Zhang, JieCounting, radiolarians
27 Dictyocryphalus? democritiD. democriti#Zhang, JieCounting, radiolarians
28 Didymocyrtis tetrathalamus tetrathalamusD. tetrathalamus tetrathalamus#Zhang, JieCounting, radiolarians
29 Eucyrtidium acuminatumE. acuminatum#Zhang, JieCounting, radiolarians
30 Flustrella perispiraF. perispira#Zhang, JieCounting, radiolarians
31 Heliodiscus spp.Heliodiscus spp.#Zhang, JieCounting, radiolarians
32 Lipmanella prismaticumL. prismaticum#Zhang, JieCounting, radiolarians
33 Myelastrum lobumM. lobum#Zhang, JieCounting, radiolarians
34 Neosemantis distephanusN. distephanus#Zhang, JieCounting, radiolarians
35 Perichlamydium venustumP. venustum#Zhang, JieCounting, radiolarians
36 Peromelissa phalacraP. phalacra#Zhang, JieCounting, radiolarians
37 Phorticium polycladumP. polycladum#Zhang, JieCounting, radiolarians
38 Plectacantha oikiskosP. oikiskos#Zhang, JieCounting, radiolarians
39 Plegmosphaerella spongiaceaP. spongiacea#Zhang, JieCounting, radiolarians
40 Pseudocubus obeliscusP. obeliscus#Zhang, JieCounting, radiolarians
41 Pterocanium praetextum praetextumP. praetextum praetextum#Zhang, JieCounting, radiolarians
42 Pterocorys fastuosaP. fastuosa#Zhang, JieCounting, radiolarians
43 Pterocorys sabaeP. sabae#Zhang, JieCounting, radiolarians
44 Pylodiscus spinulosaP. spinulosa#Zhang, JieCounting, radiolarians
45 Rhizosphaera medianumR. medianum#Zhang, JieCounting, radiolarians
46 Siphonosphaera abyssiS. abyssi#Zhang, JieCounting, radiolarians
47 Sphaerolarnacillium cochleatumS. cochleatum#Zhang, JieCounting, radiolarians
48 Sphaeropylolena spp.Sphaeropylolena spp.#Zhang, JieCounting, radiolarians
49 Sphaerozoum bifurcumS. bifurcum#Zhang, JieCounting, radiolarians
50 Spirocyrtis scalarisS. scalaris#Zhang, JieCounting, radiolarians
51 Spongaster pentasS. pentas#Zhang, JieCounting, radiolarians
52 Spongaster tetras tetrasS. tetras tetras#Zhang, JieCounting, radiolarians
53 Spongastriscus ellipticusS. ellipticus#Zhang, JieCounting, radiolarians
54 Spongocyclia cycloidesS. cycloides#Zhang, JieCounting, radiolarians
55 Spongodiscus heliodesS. heliodes#Zhang, JieCounting, radiolarians
56 Spongodiscus resurgensS. resurgens#Zhang, JieCounting, radiolarians
57 Spongosphaera streptacanthaS. streptacantha#Zhang, JieCounting, radiolarians
58 Spongospira sp.Spongospira sp.#Zhang, JieCounting, radiolarians
59 Stylodictya arathniaS. arathnia#Zhang, JieCounting, radiolarians
60 Stylodictya cf. hertwigiiS. cf. hertwigii#Zhang, JieCounting, radiolarians
61 Tetrapyle circularisT. circularis#Zhang, JieCounting, radiolarians
62 Tetrapyle fruticosaT. fruticosa#Zhang, JieCounting, radiolarians
63 Tetrapyle octacanthaT. octacantha#Zhang, JieCounting, radiolarians
64 Tetrapyle spp.Tetrapyle spp.#Zhang, JieCounting, radiolarians
65 Zygocircus acaciaZ. acacia#Zhang, JieCounting, radiolarians
66 Zygocircus piscicaudatusZ. piscicaudatus#Zhang, JieCounting, radiolarians
67 Zygocircus productusZ. productus#Zhang, JieCounting, radiolarians
68 Radiolarians indeterminataRad indet#Zhang, JieCounting, radiolarians
Size:
2142 data points

Data

Download dataset as tab-delimited text — use the following character encoding:


Event

ID

Coverage

Longitude

Latitude

Longitude

Latitude

A. vinculata [#]

A. cf. cribrosa [#]
10 
A. arcadophorum [#]
11 
A. hertwigi [#]
12 
A. reticulata [#]
13 
A. circumtexta [#]
14 
A. myriacantha [#]
15 
A. hexacantha [#]
16 
A. hexagonalis [#]
17 
B. scutum [#]
18 
B. invaginata [#]
19 
C. octostylus [#]
20 
D. virchowii [#]
21 
D. elegans [#]
22 
D. muelleri [#]
23 
D. profunda [#]
24 
D. truncatum [#]
25 
D. variabilis [#]
26 
D. acrostoma [#]
27 
D. democriti [#]
28 
D. tetrathalamus tetrathalamus [#]
29 
E. acuminatum [#]
30 
F. perispira [#]
31 
Heliodiscus spp. [#]
32 
L. prismaticum [#]
33 
M. lobum [#]
34 
N. distephanus [#]
35 
P. venustum [#]
36 
P. phalacra [#]
37 
P. polycladum [#]
38 
P. oikiskos [#]
39 
P. spongiacea [#]
40 
P. obeliscus [#]
41 
P. praetextum praetextum [#]
42 
P. fastuosa [#]
43 
P. sabae [#]
44 
P. spinulosa [#]
45 
R. medianum [#]
46 
S. abyssi [#]
47 
S. cochleatum [#]
48 
Sphaeropylolena spp. [#]
49 
S. bifurcum [#]
50 
S. scalaris [#]
51 
S. pentas [#]
52 
S. tetras tetras [#]
53 
S. ellipticus [#]
54 
S. cycloides [#]
55 
S. heliodes [#]
56 
S. resurgens [#]
57 
S. streptacantha [#]
58 
Spongospira sp. [#]
59 
S. arathnia [#]
60 
S. cf. hertwigii [#]
61 
T. circularis [#]
62 
T. fruticosa [#]
63 
T. octacantha [#]
64 
Tetrapyle spp. [#]
65 
Z. acacia [#]
66 
Z. piscicaudatus [#]
67 
Z. productus [#]
68 
Rad indet [#]
SCS/MS_1 12017-2018113.8621.83113.4821.2817501080200010434643031520002004250151300000104701223203041245536000399
SCS/MS_2 22017-2018113.4521.24112.5320.50175002703301313571116101533102018811113022001202201412153021602986769222513
SCS/MS_4 42017-2018112.5119.51111.9618.59321413321159416101063201131414023013131838715620204402202743021013220901542538
SCS/MS_5 52017-2018111.9618.59111.4117.69281601222121203282504007201432431412131123131481090970110209202314327841961597
SCS/MS_7 72017-2018110.9916.61110.7315.5211303321206190227175726631412020428101202429490835111130100135319060137610138588
SCS/MS_9 92017-2018110.4914.32110.3313.3923031003144532072342125320321102911181182528821602211032085201405220721666540
SCS/MS_11 112017-2018110.1312.21109.9211.051632142415270329244614344192530101314451122235221422416041031601115024742053612
SCS/MS_13 132017-2018109.7210.04109.518.9924331230374814032061061110311063582147831112246385510322506501651017324377940112835
SCS/MS_15 152017-2018109.237.70108.636.832641026125514051310354292810232311326182331821501117502013340120132333418103582
SCS/MS_16 162017-2018108.606.80107.836.061563021023871103151553207399433501501225223331913043580745202511109024581855713
SCS/MS_17 172017-2018107.826.05107.025.262720225028181021814410505231640121120810116101320002210722114421715227591354526
SCS/MS_18 182017-2018107.025.26106.374.55131112211032119131712475733100231502255364136132001142012228531694332621642517
SCS/MS_20 202017-2018105.843.99105.303.4311510100210001510106137001801201321124045301010005101551256476952889873430
SCS/MS_22 222017-2018105.012.66104.761.9421031802800140221111702130101367271111104100000160941617341160728126210462
SCS/MS_23 232017-2018104.741.93103.981.252000080160000018014604000202629420004002000002004202132503840306020200559
SCS/MS_25 252017-2018103.481.22103.091.540000000400002000010000002020000032022000000000200011060021510000152
SCS/MS_27 272017-2018102.371.89101.752.3700000002000000000000000100100100000000000000200015000000000066
SCS/MS_28 282017-2018101.702.41101.062.79100001020000000000000000000000004000200000012000050000010000310
SCS/MS_30 302017-2018100.533.3599.004.86200001010045111303100000082000202200000000010160100103360000564300295
SCS/MS_31 312017-201899.004.8698.595.1660000013451227217260100721204814055283000000000245300011061920438221000537
SCS/MS_96 962017-2018113.6121.49113.6121.4910020003117000410001121001001010123031030100002150100000814200101
SCS/MS_94 942017-2018113.5320.05113.4120.911403223014018800012640127662402004161302116110300002041051033111151670900487
SCS/MS_92 922017-2018113.2017.91113.4319.222810260316035400213311202615274831010922703115614322301128917402201325842530775
SCS/MS_90 902017-2018112.4615.00112.9316.214211163132505670902218170115144813561431391422152112141141017024854201054703810994092940
SCS/MS_88 882017-2018111.2612.26111.7213.321511127013016150301218150331201597800660901627053713005714722000116731310536
SCS/MS_86 862017-2018110.4110.27110.7210.994110894141313780401310240969915125719209901241039210491001152619291012925802160702
SCS/MS_84 842017-2018109.438.00109.889.0216022535230315111119623010364157111710441012103370370702211191424140231679600592
SCS/MS_82 822017-2018107.755.99108.716.98150122831521012813015419025104516502811014517101002031050201407128123001324113710619
SCS/MS_80 802017-2018106.334.52107.305.538003083121115258092803471605410138090160030000000031503221370026776530426
SCS/MS_78 782017-2018104.741.89105.263.41000000036020300010045120090700053250110000000000144151370230001917060338
SCS/MS_77 772017-2018104.341.29104.731.8610000102106192010001440030100012011300000000009200051313000023110150
SCS/MS_76 762017-2018102.931.55104.191.25200010010120000160003010100011160200000100001100501260000013200101
SCS/MS_74 742017-2018100.922.88101.712.3400000003020120000000010200030002119000000000026200151697000012000401
SCS/MS_72 722017-201899.444.19100.243.47500020000062800305010140280021030256000000000007441415324940200028160001097