Abstract
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 approx. 8% (63 ha) for the total study area (8 km2) and a summer production of approximately 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 approximately 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 approach can serve to approximate future productivity shifts for WAP fjord systems. The reduction of macroalgal productivity as predicted for Potter Cove may have significant consequences for polar coastal ecosystems under continuing climate change.
Highlights
The Western Antarctic Peninsula (WAP) is one of the regions responding most dramatically to climate change (Kim et al, 2018)
The algorithm-ranking by True skill statistic (TSS) and Relative Operating Characteristic (ROC) scores for all alternative realizations (Figure 3) shows best performance of the Random Forest (RF) algorithm, followed by Classification Tree Analysis (CTA), Generalized Boosted Models (GBM), MaxEnt, and Generalized Additive Models (GAM)
The ensemble modeling (EM) predicts the spatial occurrence of macroalgae in Potter Cove with a high statistical reliability (TSS 0.833/ROC 0.975)
Summary
The Western Antarctic Peninsula (WAP) is one of the regions responding most dramatically to climate change (Kim et al, 2018). Macroalgal communities serve as secondary habitats for a huge number of epiphytes and associated fauna but enhance local carbon burial by reducing flow velocity above ground and trapping particles, enhancing both inorganic, and organic deposition rates (Duarte et al, 2013). Macroalgae and their epiphytes are the main benthic primary producers of the coastal food web of Potter Cove (Iken et al, 1998; Quartino and Boraso de Zaixso, 2008) and contribute substantially to the dissolved and particulate carbon pool (Reichardt and Dieckmann, 1985; Fischer and Wiencke, 1992)
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