Sponges are celebrated heterotrophs but also key primary producers on changing coral reefs
Data files
Mar 11, 2026 version files 23.55 MB
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DATA_for_Achlatis_et_al_2026.zip
23.55 MB
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README.md
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Abstract
Trophic interactions and nutrient cycling lay at the heart of ecosystem health and biodiversity. In recent years, our understanding of these drivers has been repeatedly challenged by rapid and unanticipated climatic effects, combined with an increasing awareness that carbon acquisition by living organisms often does not meet the textbook duality of autotrophy versus heterotrophy. On coral reefs, mixotrophic feeding that combines these two strategies is widespread.
Mixotrophy has been largely overlooked in sponges, which are ecologically important and highly abundant animals that are commonly celebrated both as efficient heterotrophic feeders as well as climate-change winners in these rapidly declining ecosystems.
Many Caribbean sponges associate with photosynthetic symbionts, and we here combine oxygen flux measurements with chlorophyll fluorometry in 24 abundant species to show that ─in contrast to presumed strict heterotrophy─ large portions of their metabolic needs can be covered through symbiont-supplied autotrophic inputs, even when these are in low abundance and when net photosynthesis remains negative.
At the ecosystem level, we find that half of the sponge species on the reefs of Curaçao contribute to 11% of gross primary productivity of the entire benthic ecosystem, ranking them the 4th most important producers after macroalgae, hard corals, and gorgonians, and higher than crustose-coralline algae, which are well-known phototrophs.
Together with their heterotrophic carbon capturing, we argue that the widespread presence and anticipated contribution of photosymbiotic sponges to coastal ecosystem productivity call for further investigation and for revision of benthic food web models and carbon budgets.
DATA_for_Achlatis_et_al_2026.zip
Access this dataset on Dryad DOI: https://doi.org/10.5061/dryad.k3j9kd5q7
This README describes the folder structure and contents of the dataset supporting the Functional Ecology article:
Sponges are celebrated heterotrophs but also key primary producers on changing coral reefs, authored by Achlatis et al. (2026)
Dataset Overview
This dataset contains environmental measurements, physiological measurements, and derived data used to quantify photosynthesis and productivity in Caribbean reef sponges. The dataset includes (each in a separate folder):
- In situ light measurements (PAR)
- Photosynthesis–irradiance (PE) curve measurements
- Rapid Light Curve (RLC) measurements
- Sponge morphological data (surface area, volume, AFDW)
- Scripts used for error propagation
Together, these data support analyses of sponge productivity under exposed and cryptic light environments. Most files are excel files (.xlsx) that are deliberately suitable for interactive use. Each folder further includes companion readme.txt to add some more detail/context.
In_Situ_Irradiance
In situ photosynthetically active radiation (PAR; 400–700 nm wavelength; Odyssey logger, Dataflow Systems, New Zealand) was measured at 10 m depth at a fully exposed-to-sunlight site (Carmabi reef; 12.1199°, −68.9702°). Measurements were taken over four one-month periods, proportionally covering wet and dry seasons to represent a full year.
The files contain calibrated PAR data (µmol photons m⁻² s⁻¹) recorded every 10 minutes during each logger deployment. The loggers also record temperature (°C; factory calibrated). PAR is plotted against date and time over the entire measurement period.
PE_Curves
Each of the species_name_PE files contains raw O₂ data (% air saturation), logged using a Presens OXY-4 SMA meter with salinity-, pressure-, and channel-specific temperature compensation. These data were used to calculate PE curves for the focal species (n = 8 replicates per species, 8 focal species).
Additional details:
- Each of the 8 tabs corresponds to one replicate sponge.
- Figures plot all data points to show the ranges used for slope calculations at each light step.
- Slopes were calculated based on the timing of light-intensity steps.
- Figure axes are defined in tab 1 and are identical across all tabs.
- Below each graph, PAR light levels (µmol photons m⁻² s⁻¹) for each light step are noted, as well as the extracted slopes (oxygen change over time) used for further flux calculations.
Blanks_PE
The Blanks_PE file contains data from non-sponge, seawater-only incubations (n = 8) conducted using the same protocol. All raw O₂ data from sponge-containing incubations were corrected using these blank measurements. The specifications above apply equally to this file.
Incubation_metadata_PE
The Incubation_metadata_PE file contains metadata for the PE-curve incubations, including:
- Exact incubation volume per replicate
- Temperature-dependent oxygen concentration corresponding to 100% saturation
- Salinity
Metadata are provided for each species and for the blank incubations.
Rapid_Light_Curves
Raw Rapid Light Curve (RLC) data are provided for the 12 sponge species in which relative electron transport rate (rETR) responded to increased light. Sp1 to Spx correspond to sponge replicates within a species.
- For focal species: 8 in situ replicates per species
- For remaining species: 4 in situ replicates per species
- Light levels (PAR, in µmol photons m⁻² s⁻¹) and corresponding relative ETR values (unitless) are reported
Methodological details are described in Supplementary Methods S1.3. As a first analysis step, the raw data were fitted to an exponential function as detailed in Supplementary Methods S1.4.
SA_VOL_AFDW
These data represent, for each replicate sponge of the focal species:
- Whole sponge body 3D surface area (excluding the underside/base)
- Sponge volumes
- Ash-free dry weight (AFDW)
Values were calculated based on constructed 3D models and tissue subsampling, as described in Supplementary Methods S1.1. The values were used for all standardizations of physiological parameters.
SD_Scripts
This folder contains Python scripts used for error propagation according to equations S11 and S12, as detailed in Supplementary Methods S1.5.
- SD_exposed.py is provided for exposed-to-sunlight irradiances
- SD_cryptic.py is provided for cryptic irradiances
