Data_Sheet_1_Ensemble Modeling of Antarctic Macroalgal Habitats Exposed to Glacial Melt in a Polar Fjord.docx

• Main Authors: Kerstin Jerosch, Frauke K. Scharf, Dolores Deregibus, Gabriela L. Campana, Katharina Zacher, Hendrik Pehlke, Ulrike Falk, H. Christian Hass, Maria L. Quartino, Doris Abele
• Format: Dataset
• Language: unknown
• Published: 2019
• Subjects: Evolutionary Biology; Ecology; Invasive Species Ecology; Landscape Ecology; Conservation and Biodiversity; Behavioural Ecology; Community Ecology (excl. Invasive Species Ecology); Ecological Physiology; Freshwater Ecology; Marine and Estuarine Ecology (incl. Marine Ichthyology); Population Ecology; Terrestrial Ecology; seaweed distribution modeling; bioclimatic ecosystem change; distribution shift; macroalgae summer production; South Shetland Islands; Antarctica; Antarctic; Antarctic Peninsula; Austral; King George Island; 25 de Mayo; isla 25 de Mayo; Antarc*; Isla 25 de Mayo
• Online Access: https://doi.org/10.3389/fevo.2019.00207.s001; https://figshare.com/articles/Data_Sheet_1_Ensemble_Modeling_of_Antarctic_Macroalgal_Habitats_Exposed_to_Glacial_Melt_in_a_Polar_Fjord_docx/8268431

Macroalgae are the main primary producers in polar coastal regions and of major importance for the associated heterotrophic communities. On King George Island/Isla 25 de Mayo, West Antarctic Peninsula (WAP) several fjords undergo rapid glacial retreat in response to increasing atmospheric temperatures. Hence, extended meltwater plumes laden with suspended particulate matter (SPM) are generated that hamper primary production during the austral summer season. We used ensemble modeling to approximate changes in the benthic productivity of an Antarctic fjord as a function of SPM discharge. A set of environmental variables was statistically selected and an ensemble of correlative species-distribution models was devised to project scattered georeferenced observation data to a spatial distribution of macroalgae for a “time of measurement” (“tom”) scenario (2008–2015). The model achieved statistically reliable validation results (true scale statistics 0.833, relative operating characteristics 0.975) and explained more than 60% of the modeled macroalgae distribution with the variables “hard substrate” and “SPM.” This “tom” scenario depicts a macroalgae cover of ~8% (63 ha) for the total study area (8 km 2 ) and a summer production of ~350 t dry weight. Assuming a linear increase of meltwater SPM load over time, two past (1991 and 1998), and two future (2019 and 2026) simulations with varying SPM intensities were applied. The simulation using only 50% of the “tom” scenario SPM amount (simulating 1991) resulted in increased macroalgal distribution (143 ha) and a higher summer production (792 t) compared to the “tom” status and could be validated using historical data. Forecasting the year 2019 from the “tom” status, an increase of 25% SPM results in a predicted reduction of macroalgae summer production to ~60% (141 t). We present a first quantitative model for changing fjordic macroalgal production under continued melt conditions at WAP. As meltwater influenced habitats are extending under climate change conditions, our ...