Table of Contents

• Coverage
• Dataset Description
  • Methods & Sampling
  • Data Processing Description
  • BCO-DMO Processing Description
  • Problem Description
• Related Datasets
• Parameters
• Instruments
• Project Information
• Funding

See "Related Datasets" section for the other datasets in this study describing the sessile organisms on settlement tiles deployed during fish exclusion/exposure experiments.

We conducted 4-month fish exclusion/exposure experiments during the upwelling (December-March) and non-upwelling seasons (July-October) of 2024 across 10 sites in Costa Rica and Panama. At each site, we deployed 35 experimental units belonging to one of five treatments: open, caged, partial, cage-control and cage-exposed. Each experimental unit consisted of two 10-cm square PVC horizontal settlement plates mounted flush with each other on a 0.4-cm thick steel threaded stud. One plate faced the surface (top-plate) while the other faced the bottom (bottom-plate). The stud was inserted through a 0.4-cm hole drilled into the middle of each plate, and fixed to a 1.3-cm diameter threaded PVC cap using two stainless-steel nuts. The threaded cap was then screwed to a PVC male adapter fixed to one end of a 20-cm length of 1.3-cm diameter PVC tubing.

Treatments included:
(1) a ‘caged’ treatment where fish larger than 5cm were excluded using a 1” vexar mesh.
(2) an ‘open’ treatment, which had no cage to limit the access of fish
(3) a procedural control or ‘partial’ treatment which was like the caged treatments, but lacked the top and bottom cage panels, allowing access of fish to sessile organisms attached to the plates, while controlling for alterations in water flow imposed by the cages.

These 5 units of each of those 3 treatments were retrieved after 4 months. Each plate was weighed, and the exposed surface of each plate was photographed. We then used a grid to quantify percent cover by identifying organisms growing under 50 random points to the lowest possible taxonomic level under a dissecting microscope. We also identified all organisms growing on each plate to the lowest taxonomic level possible to quantify richness.

This dataset reports point-intercept identifications that can be used to calculate relative abundance/percent cover on each settlement plate. Each row represents one plate face and one growth layer (Layer = Primary, Secondary, Tertiary, Canopy) for a given Plate ID, Treatment, Site/Region, Season/Sea, Date, Type (Top/Bottom), and Observer. Columns A1–G7 (and H, if used) are the individual grid point coordinates (50 points total) and contain the taxon or category observed at that point (e.g., named taxa such as Polysiphonia, functional groups/codes such as “BAM”, “Ecto 1”, and “Bare” where no organism was present). Relative abundance/percent cover for a taxon is obtained by counting the number of points assigned to that taxon and dividing by total points (typically 50). Information regarding the settlement tile's assigned treatment, region, site, and deployment date are also included.

Additional location description: The experiments were installed in coral reefs dominated by Pocillopora sp. coral at a depth of about 5m. We focused on 4 regions: Santa Elena Bay and Gulf of Papagayo in Costa Rica, and the Gulfs of Panama and Chiriqui in the Republic of Panama. 

The data was entered manually into spreadsheets. No software was used in this process.

Note: The primary form of this dataset under "Data Files" is the data table in long format (row per point-intercept identification). The same data in an additional (wide format - row per plate, columns per point-intercept location) is provided a supplemental file.

Processing details:

- Loaded relative_abundance.csv as 999307_v1_settlement-tile_point-ids with missing values defined as "" and "nd"
- Renamed column "Wet weight" to "Wet_weight" to remove space and conform to naming conventions
- Converted Date column from Excel serial number format to ISO 8601 string (YYYY-MM-DD), then set as date type with format %Y-%m-%d
- Stripped trailing "m" unit suffix from depth column values to yield numeric-only values (e.g., "5m" -> "5")
- Set types: depth as integer; lat and lon as number; Date as date; all grid point columns (A1-G7, H), Region, Site, Season, Sea, Layer, Plate, Observer, Treatment, Type, Wet_weight as string
- Applied BCO-DMO metadata to all columns including descriptions, standard name IDs, and supplied units for point-intercept grid columns (A1-G7, H), Date, Layer, Observer, Plate, Region, Sea, Season, Site, Treatment, Type, Wet_weight, depth, lat, and lon
- Duplicated table as 999307_v1_settlement-tile_point-ids_wide-format to preserve the originally provided wide format as a supplemental form of the dataset containing the same data in a different table format
- Performed wide-to-narrow transformation on 999307_v1_settlement-tile_point-ids: unpivoted all grid point columns (A1-G7 and H) into two new columns: grid_point_id (string, holding the column label) and category (string, holding the observed taxon/category value)
- Applied updated BCO-DMO metadata to narrow-format table columns including grid_point_id (grid point identifier for the settlement plate location) and category (category code for taxon or category observed)
- Applied BCO-DMO metadata to wide-format table columns including updated supplied_units for Wet_weight ("grams (g)")
- Output: 999307_v1_settlement-tile_point-ids.csv (narrow/long format) and 999307_v1_settlement-tile_point-ids_wide-format.csv (wide format)

Note: description of Wet_weight and units were not supplied in this dataset submission but were added here from the description and units of wet weight provided in the related biomass dataset.

Supplemental file: category_list.csv
BCO-DMO data manager (Amber York) and data submitter (Andrew Sellers) collaboratively made the supplemental category list from the unique category codes used in the settlement tile datasets and corrected any typos in taxon names used. Any associated taxon names in the list were matched to registered names at the World Register of Marine Species (WoRMs) on March 2, 2026 and associated taxon Ids were included in the supplemental category list. Some name matches were ambiguous (could match more than one organism) so the data submitter Andrew modified the list to clarify which taxon name and ID each was.

NSF Award Abstract:

Species interactions are key drivers shaping marine biodiversity. Recent marine studies demonstrate that predation can be stronger at lower latitudes where water temperatures are higher. With a changing climate, it is important to resolve how environmental forces intensify or moderate consumer interactions and change the distribution and abundance of marine species. Researchers are employing a rapid research response to measure how an extreme event, the 2023-2024 El Niño, will alter consumer interactions on Tropical Eastern Pacific (TEP) coral reefs. Following up on two consecutive years of experimental data during non-El Niño conditions, they will be able to compare how an extreme event and increased ocean temperatures alter predation and herbivory rates and how this in turn influences marine biodiversity and potential invasion by non-native species. The project builds international research and education by training early-career researchers in marine science including those from under-represented groups. The project develops partnerships and fosters collaboration through an international network, which facilitates shared and integrated marine biosecurity solutions across the Americas, informing management of invasive marine species.

Growing evidence suggests that the intensity of interspecific interactions increases at low latitudes. Recent studies along both coasts of the Americas indicate that the strength of consumer effects across latitude increases with temperature, consistent with the metabolic theory of ecology. The hypothesized impact of ocean warming on future trends in top-down control of marine communities predicts that increasing ocean temperatures will increase top-down control by consumers, but the extent to which this will occur in the tropics remains uncertain. The strong spatial and seasonal variation in upwelling that affect both temperature and nutrients in the Tropical Eastern Pacific (TEP) make it an ideal region to test how changes in environmental conditions influence trophic interactions and marine community dynamics. For the past two years, researchers conducted consumer exclusion experiments on sessile marine invertebrate communities at ten coral reef sites, distributed along a gradient of upwelling activity in Panama and Costa Rica. By comparing replicated caged (predator exclusion) and open settlement panels at each site along this gradient, this experiment examines the role of temperature and productivity on top-down control by consumers. Here, researchers are extending the duration of this work to utilize the current El Niño as a natural experiment to measure how this extreme event will alter consumer interactions on TEP reefs. The El Niño event forecasted for 2023-2024 (NOAA 2023) is predicted to (a) cause extreme increases in water temperature and (b) alter the intensity and duration of upwelling events. Using two complementary experiments to sequentially test the strength of consumer interactions, (a) 4-month predator exclusions and (b) short-term predator exposure experiments, the project tests the hypothesis that increased temperature and decreased upwelling activity linked to El Niño will increase consumer effects in the TEP. Repeating previous experiments during the current El Niño, provides a comparison for how changing temperature and productivity regimes influence consumer effects on the reef communities. By focusing these experiments in a thermally dynamic region of the tropics, this research directly tests for temperature regulation of top-down processes without the confounds of latitude, while also examining the bottom-up consequences of declining productivity due to weakened upwelling activity.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.