Stuhr, Marleen; Kappelmann, Yannis; Mann, Thomas; Westphal, Hildegard (2026): Benthic foraminiferal genus-level counts from inter-reef surface sediments, Spermonde Archipelago, SW Sulawesi, Indonesia [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.994083 (DOI registration in progress)
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Published: 2026-06-29
Abstract:
This dataset contains genus-level counts (#) of benthic foraminifera identified from the 125–2000 µm fraction of 51 inter-reef seafloor surface sediment samples from the Spermonde Archipelago, SW Sulawesi, Indonesia. A total of 42 genera are reported, spanning three ecological groups: symbiont-bearing larger benthic foraminifera (including Amphistegina, Operculina, Planoperculina, Heterostegina, Nummulites, Peneroplis, Alveolinella, Borelis, Dendritina, Sorites, Parasorites, Calcarina, and Baculogypsina); small heterotrophic taxa (including Cibicides, Cibicidoides, Quinqueloculina, Triloculina, Pyrgo, Spiroloculina, Cancris, and others); and stress-tolerant taxa indicative of elevated nutrient or turbidity conditions (including Nonion, Ammonia, Elphidium, Textularia, Reusella, and others). Counting methodology follows the FoRAM Index protocol (Hallock et al., 2003) with adjustments for non-reef settings (Prazeres et al., 2020). These data underpin foraminiferal assemblage analysis, cluster classification, and calculation of the FoRAM Index (FI) as an ecological proxy for photic and trophic conditions across the shelf. The field sampling was performed in August 2021 in the framework of the HAnsea project, sample depths range from 4.5 to 73.6 m water depth. Data collection was done between June 2023 and April 2024.
Keyword(s):
Supplement to:
Stuhr, Marleen; Kappelmann, Yannis; Kneer, Dominik; Jompa, Jamaluddin; Westphal, Hildegard (submitted): Monsoon-influenced terrestrial forcing shapes inter-reef carbonate production (Spermonde Archipelago, Indonesia). Biogeosciences
Related to:
Stuhr, Marleen; Kappelmann, Yannis; Mann, Thomas; Westphal, Hildegard (2026): Grain-size data from dry sieving and GRADISTAT analysis of inter-reef surface sediments, Spermonde Archipelago, SW Sulawesi, Indonesia [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.994081
Stuhr, Marleen; Kappelmann, Yannis; Mann, Thomas; Westphal, Hildegard (2026): Point-count data for skeletal and non-skeletal sediment components of inter-reef surface sediments, Spermonde Archipelago, SW Sulawesi, Indonesia [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.994082
Stuhr, Marleen; Kappelmann, Yannis; Mann, Thomas; Westphal, Hildegard (2026): Sample coordinates, water depth, carbonate content, and total organic carbon of inter-reef surface sediments, Spermonde Archipelago, SW Sulawesi, Indonesia [dataset]. PANGAEA, https://doi.pangaea.de/10.1594/PANGAEA.994068
References:
Hallock, Pamela; Lidz, Barbara H; Cockey-Burkhard, Elizabeth M; Donnelly, Kelly B (2003): Foraminifera as bioindicators in coral reef assessment and monitoring: The FORAM Index. Environmental Monitoring and Assessment, 81(1/3), 221-238, https://doi.org/10.1023/A:1021337310386
Prazeres, Martina; Martínez-Colón, Michael; Hallock, Pamela (2020): Foraminifera as bioindicators of water quality: The FoRAM Index revisited. Environmental Pollution, 257, 113612, https://doi.org/10.1016/j.envpol.2019.113612
Project(s):
Funding:
Deutsche Forschungsgemeinschaft, Bonn (DFG), grant/award no. MA 6967/2-1: HAnsea - Holocene and Anthropocene sea-level records from Indonesia
Coverage:
Median Latitude: -4.886504 * Median Longitude: 119.255473 * South-bound Latitude: -5.283300 * West-bound Longitude: 118.986700 * North-bound Latitude: -4.543300 * East-bound Longitude: 119.551700
Minimum Elevation: -73.6 m * Maximum Elevation: -4.5 m
Event(s):
Spermonde_Arch_S01 (S01) * Latitude: -5.283300 * Longitude: 119.346700 * Elevation: -12.8 m * Penetration: 0.1 m * Location: Spermonde Archipelago, Indonesia * Method/Device: Kasten corer (KAL)
Parameter(s):
License:
Creative Commons Attribution 4.0 International (CC-BY-4.0)
Status:
Curation Level: Enhanced curation (CurationLevelC)
Size:
963 data points