Multi-interacting global-change drivers reduce photosynthetic and resource use efficiencies and prompt a microzooplankton-phytoplankton uncoupling in estuarine communities
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Jabalera Cabrerizo, Marco; Villafañe, Virginia E.; Helbling, E. Walter; Blum, R.; Vizzo, Juan I.; Gadda, A.; Valiñas, Macarena S.Editorial
Elsevier
Fecha
2025-02Referencia bibliográfica
Marine Environmental Research 204;106952
Patrocinador
This work was supported by the Agencia Nacional de Promoción Científica y Tecnológica (ANPCyT, PICT2017-0411 and PICT2020-0972), the Cooperativa Eléctrica y de Servicios de Rawson, and Fundación Playa Unión. MJC was funded by a Captación, Incorporación y Movilidad de Capital Humano de I + D + i postdoctoral contract from Junta de Andalucía (POSTDOC-21-00044), by the Ramón y Cajal program (RYC2023-042504-I) and TITAN project (PID2022-136280NA-I00) from MCIN/AEI/10.13039/501100011033/ and European Regional Development FundResumen
Plankton communities are subjected to multiple global change drivers; however, it is unknown how the interplay between them deviates from predictions based on single-driver studies, in particular when trophic interactions are explicitly considered. We investigated how simultaneous manipulation of temperature, pH, nutrient availability and solar radiation quality affects the carbon transfer from phytoplankton to herbivorous protists and their potential consequences for ecosystem functioning. Our results showed that multiple interacting global-change drivers reduced the photosynthetic (gross primary production-to-electron transport rates ratios, from 0.2 to 0.6–0.8) and resource use efficiencies (from 9 to 1 μg chlorophyll a (Chl a) μmol nitrogen−1) and prompted uncoupling between microzooplankton grazing (m) and phytoplankton growth (μ) rates (μ > m). The altered trophic interaction could be due to enhanced intra-guild predation or to microzooplankton growing at suboptimal temperatures compared to their prey. Because phytoplankton-specific loss rates to consumers grazing are the most significant uncertainty in marine biogeochemical models, we stress the need for experimental approaches quantifying it accurately to avoid bias in predicting the impacts of global change on marine ecosystems.