Latest version published on 1 March 2022
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1 March 2022
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This data provides a description of the east coast shore of Peninsular Malaysia, specifically in Johor coast in 2015-2016. The spatial and temporal distribution and abundance of a total of 41 taxa were assessed at 4 monsoon-exposed locations.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 37 records.

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How to cite

Researchers should cite this work as follows:

AlgaeBase. (Latest accessed date: 29 November 2021)


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To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

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Occurrence; Specimen


Nur Farah Ain Zainee
  • Metadata Provider
  • Originator
  • User
  • Point Of Contact
Postdoctoral Researcher
Universiti Kebangsaan Malaysia
School of Earth Science & Environment
43600 Bandar Baru Bangi

Geographic Coverage

Sampling was done along four major shore stretches of the entire coast of east Johor, covering approximately 180 km from Desaru to Mersing. The eastern coast of Johor extends approximately 175 km from Teluk Lipat (i.e. Lipat Bay) to the north, and Teluk Ramunia to the south.

Bounding Coordinates South West [-90, -180], North East [90, 180]

Taxonomic Coverage

We report the identification of species belonging to family Rhodomelaceae, Lithophyllaceae, Corallinaceae, Pterocladiaceae, Gigartinaceae, Galaxauraceae, Gracilariaceae, Cystocloniaceae, Lomentariaceae, Dictyotaceae, Sargassaceae, Polyphysaceae, Caulerpaceae, Cladophoraceae, Boodleaceae, Ulvaceae, and Valoniaceae.

Genus Chaetomorpha Kützing, 1845
Species Caulerpa racemosa ((Forsskål) J.Agardh, 1873), Cladophoropsis membranacea ((Hofman Bang ex C.Agardh) Børgesen, 1905), Cladophora stimpsonii (Harvey, 1860), Cladophora vagabunda ((Linnaeus) Hoek, 1963), Valonia aegagropila (C.Agardh, 1823), Acetabularia acetabulum ((Linnaeus) P.C.Silva, 1952), Ulva clathrata ((Roth) C.Agardh, 1811), Ulva intestinalis (Linnaeus, 1753), Dictyopteris delicatula (J.V.Lamouroux, 1809), Canistrocarpus cervicornis ((Kützing) De Paula & De Clerck, 2006), Dictyota mertensii ((C.Martius) Kützing, 1859), Dictyota dichotoma ((Hudson) J.V.Lamouroux, 1809), Padina australis (Hauck, 1887), Padina boergesenii (Allender & Kraft, 1983), Padina minor (Yamada, 1925), Sargassum oligocystum (Montagne, 1845), Sargassum paniculatum (J. Agardh, 1848), Sargassum polycystum (C. Agardh, 1824), Sargassum microcystum (J.Agardh, 1848), Sargassum tenerrimum (J.Agardh, 1848), Acanthophora muscoides ((Linnaeus) Bory de Saint-Vincent, 1828), Acanthophora spicifera ((M.Vahl) Børgesen, 1910), Polysiphonia coacta (C.K.Tseng, 1944), Amphiroa fragilissima ((Linnaeus) J.V.Lamouroux, 1816), Jania adhaerens (J.V.Lamouroux, 1816), Pterocladiella caloglossoides ((M.Howe) Santelices, 1998), Chondrus crispus (Stackhouse, 1797), Hypnea cervicornis (J.Agardh, 1851), Hypnea spinella ((C.Agardh) Kützing, 1847), Gracilaria arcuata (Zanardini, 1858), Gracilaria bursa-pastoris ((S.G.Gmelin) P.C.Silva, 1952), Crassiphycus changii ((B.-M.Xia & I.A.Abbott) Gurgel, J.N.Norris & Fredericq, 2018), Gracilaria coronopifolia (J.Agardh, 1852), Gracilaria salicornia ((C.Agardh) E.Y.Dawson, 1954), Galaxaura rugosa ((J.Ellis & Solander) J.V.Lamouroux, 1816), Ceratodictyon intricatum ((C.Agardh) R.E.Norris, 1987)

Sampling Methods

Sampling was done from January 2015 until February 2016 during the lowest tide of the month (Table 1). Transects were placed randomly, taken to represent the macroalgae cover and frequency at each site. The quadrats were placed alternately at every 1 meter of the 25-meter transect line. Initially, the macroalgae that were found inside the quadrat were recorded, identified and inventoried according to the type of species, percentage of cover and percentage of frequency (Table 2). The types of substratum attached by macroalgae were noted as representing the habitat specificity of the macroalgae (Table 3). The raw data of cover and frequency were calculated by multiplying the vertical count of every species to the five levels of multiplier and total number of sub-quadrat from the 9 transect lines with a total of 234 quadrats (Supplementary Table-S1, S2, S3 and S4). The cover of every species of macroalgae was then analysed by summing the percentage cover value of prostrate and erect parts of the macroalgae in each sub-quadrat (10cm × 10cm) after Saito and Atobe (1970) (Supplementary Table S5). The percentage frequency of macroalgae was obtained by calculating the total number of squares (qn) in which the species occurred, divided by the total number of small squares in the quadrat (= 25), and multiplied by 100 (Supplementary Table-S1, S2, S3 and S4).

Study Extent Sampling activity was conducted in four locations in eastern Johor coastline: Pantai Pasir Lanun, Pulau Mawar, Telok Gorek and Tanjung Lompat (Figure 1). Pantai Pasir Lanun is located at the tip of a foreland with a relatively straight coastline, predominantly featuring hard substrates composed of large areas of coral rubble and boulders. Pulau Mawar is characterised by a shallow-elevated sandy terrain with small patches of mangrove trees and coral rubble. Telok Gorek is located within an indented bay, covered with mangrove trees and sheltered from the foreland. Tanjung Lompat consists of a foreland and an extensive bay, characterised by boulder-pebbles on the foreland and a shallow sandy bay.
Quality Control All scientific names were morphologically identified according to Ismail (1995), Trono and Ganzon-Fortes (1988), Zainee et al. (2018), and Zainee et al. (2019a), and were further standardised according to AlgaeBase and The World Register of Marine Species (WoRMS).

Method step description:

  1. The step that led to the final release of the dataset were as follows: (1) In-situ identification of species and destructive collection for first-time observed samples and preservation in formaldehyde; (2) Non-destructive sampling (except for filamentous algae that need microscopic observation in the laboratory) at four study sites; (3) photography, sorting, cleaning and preparation of herbarium specimens; (4) conversion of paper-based records from the field and laboratory into an electronic data format (Excel spreadsheets); (5) organising of the datasets into a standardised format; (6) standardisation of taxonomy using the World Register of Marine Species; (8) export of data as a DarwinCore Archive and (9) generation of dataset-level metadata.

Collection Data

Collection Name Plantae
Specimen preservation methods Dried and pressed

Bibliographic Citations

  1. Ismail A (1995) Rumpai Laut Malaysia. Dewan Bahasa dan Pustaka, Kuala Lumpur
  2. Kendrick G, Harvey ES, Wernberg T, Harman N, Goldberg N (2004) The role of disturbance in maintaining diversity of benthic macroalgal assemblages in southwestern Australia. Journal of Phycolology 52: 5–9.
  3. Kim HH, Ko YW, Yang KM, Sung G, Kim JH (2017) Effects of disturbance timing on community recovery in an intertidal habitat of a Korean rocky shore. Algae 32 (4): 325–336. doi:10.4490/algae.2017.32.12.7.
  4. Kroeker KJ, Bell LE, Donham EM, Hoshijima U, Lummis S, Toy JA, Willis-Norton E (2020) Ecological change in dynamic environments: Accounting for temporal environmental variability in studies of ocean change biology. Global Change Biology 26 (1): 54–67. doi:10.1111/gcb.14868.
  5. Lindenmayer DB, Fischer J (2007) Tackling the habitat fragmentation panchreston. Trends in Ecology and Evolution 22 (3): 127–132. doi:10.1016/j.tree.2006.11.006.
  6. Prathep A, Mayakun J, Tantiprapas P, Darakrai A (2008) Can macroalgae recover 13 months after the 2004 Tsunami?: A case study at Talibong Island, Trang Province, Thailand. Journal of Applied Phycology 20: 907–914. doi:10.1007/978-1-4020-9619-8_55.
  7. Saito Y, Atobe S (1970) Phytosociological study of intertidal marine algae:I. Usujiri Benten-Jima, Hokkaido. Bulletin of the Faculty of Fisheries Hokkaido University 21 (2): 37–69.
  8. Satari SZ, Zubairi YZ, Hussin AG, Hassan SF (2015) Some statistical characteristic of Malaysian wind direction recorded at maximum wind speed: 1999-2008. Sains Malaysiana 44 (10): 1521–1530. doi:10.17576/jsm-2015-4410-18.
  9. Suding KN, Gross KL, Houseman GR (2004) Alternative states and positive feedbacks in restoration ecology. Trends in Ecology and Evolution 19: 46–53. doi:10.1016/j.tree.2003.10.005.
  10. Trono GC, Ganzon-Fortes E (1988) Philippine Seaweeds. National Book Store Inc, Manila.
  11. Turner MG (2010) Disturbance and landscape dynamics in a changing world. Ecology 91 (10): 2833–2849. doi:10.1890/10-0097.1.
  12. Wilson SS, Furman BT, Hall MO, Fourqurean JW (2020) Assessment of Hurricane Irma impacts on South Florida seagrass communities using long-term monitoring programs. Estuarine and Coasts 43 (5): 1119–1132. doi:10.1007/s12237-019-00623-0
  13. World Register of Marine Species –WoRMS. (Latest accessed date: 29 November 2021)
  14. Zainee NFA, Rozaimi M (2020) Influence of monsoonal storm disturbance on the diversity of intertidal macroalgae along the eastern coast of Johor (Malaysia). Regional Studies in Marine Science 40(101481)
  15. Zainee NFA, Ibrahim N, Ismail A (2019a) Rumpai Laut Johor. UKM Press, Bandar Baru Bangi.
  16. Zainee NFA, Ismail A, Taip ME, Ibrahim N, Ismail A (2018) Diversity, distribution and taxonomy of Malaysian marine algae, Halimeda (Halimedaceae, Chlorophyta). Malayan Nature Journal 70 (2): 211–219.
  17. Zainee NFA, Ismail A, Taip ME, Ibrahim N, Ismail A (2019b) Habitat preference of seaweeds at a tropical island of southern Malaysia. Songklanakarin Journal of Science and Technology 41 (5): 1171–1177.

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