Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs

Acevedo‐Trejos, Esteban; Cadier, Mathilde; Chakraborty, Subhendu; Chen, Bingzhang; Cheung, Shun Yan; Grigoratou, Maria; Guill, Christian; Hassenrück, Christiane; Kerimoglu, Onur; Klauschies, Toni; Lindemann, Christian; Palacz, Artur; Ryabov, Alexey; Scotti, Marco; Smith, S. Lan; Våge, Selina; Prowe, A. E. Friederike

doi:10.3389/fmars.2022.975414

Cited by 3 publications

(1 citation statement)

References 95 publications

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“…Understanding these mechanisms is critical for predicting and managing the responses of planktonic communities to environmental changes, aiding in the conservation and sustainable management of aquatic ecosystems. Integrated models that consider these interconnected factors are crucial for predicting and managing the responses of zooplankton/phytoplankton dynamics to environmental changes, ultimately preserving aquatic ecosystem stability and function [70].…”

Section: Discussionmentioning

confidence: 99%

Modeling Dynamic Processes in the Black Sea Pelagic Habitat—Causal Connections between Abiotic and Biotic Factors in Two Climate Change Scenarios

Lazar,

Boicenco,

Pantea

et al. 2024

Sustainability

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The paper contributes to the Sustainable Development Goals (SDGs) targeting Life Below Water by introducing user-friendly modeling approaches. It delves into the impact of abiotic factors on the first two trophic levels within the marine ecosystem, both naturally and due to human influence. Specifically, the study examines the connections between environmental parameters (e.g., temperature, salinity, nutrients) and plankton along the Romanian Black Sea coast during the warm season over a decade. The research develops models to forecast zooplankton proliferation using machine learning (ML) algorithms and gathered data. Water temperature significantly affects copepods and “other groups” of zooplankton densities during the warm season. Conversely, no discernible impact is observed on dinoflagellate Noctiluca scintillans blooms. Salinity fluctuations notably influence typical phytoplankton proliferation, with phosphate concentrations primarily driving widespread blooms. The study explores two scenarios for forecasting zooplankton growth: Business as Usual, predicting modest increases in temperature, salinity, and constant nutrient levels, and the Mild scenario, projecting substantial temperature and salinity increases alongside significant nutrient decrease by 2042. The findings underscore high densities of Noctiluca scintillans under both scenarios, particularly pronounced in the second scenario, surpassing the first by around 70%. These findings, indicative of a eutrophic ecosystem, underscore the potential implications of altered abiotic factors on ecosystem health, aligning with SDGs focused on Life Below Water.

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Section: Discussionmentioning

confidence: 99%

Modeling Dynamic Processes in the Black Sea Pelagic Habitat—Causal Connections between Abiotic and Biotic Factors in Two Climate Change Scenarios

Lazar,

Boicenco,

Pantea

et al. 2024

Sustainability

View full text Add to dashboard Cite

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Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning

Wojcik,

Klauschies,

Velzen

et al. 2024

Oikos

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Adaptation of communities to environmental fluctuations can emerge from different facets of biodiversity, which may impact ecosystem functioning differently. Previous work in the field of biodiversity–ecosystem functioning (BEF) examined how ecosystem functions can be influenced by two sources of adaptive potential: sorting – i.e. changes in community composition due to fitness differences – can occur when multiple species or groups are present (richness), and trait adaptability – i.e. trait adjustments within species or functional groups – can emerge from genetic or phenotypic diversity. However, their effect is typically studied separately, and often in the context of only one trophic level. Therefore, we used a trait‐based, multispecies predator–prey model to investigate how sorting and trait adaptability, at one or two trophic levels, separately or jointly shape ecosystem functions and properties, such as total biomass, production, biomass‐weighted mean trait, relative top–down control and synchrony. We found that the adaptive potential emerging from any facet of diversity induced changes in trophic interactions, in turn affecting biomass distributions within and across trophic levels, dynamical behaviour, and synchrony of biomass dynamics within a trophic level. Particularly, sorting and trait adaptability could contribute to a similar degree and at a similar time to temporal changes in ecosystem functions, but their respective contribution depended on the speed of trait adaptation, the trait range between similar functional groups and trophic interactions. We thus suggest to consider multiple facets of diversity and their corresponding sources of adaptive potential to deepen our mechanistic understanding of BEF relationships, especially in the context of rapid biodiversity change.

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Phytoplankton mean cell size and total biomass increase with nutrients are driven by both species composition and evolution of plasticity

Matthiessen,

Hattich,

Pulina

et al. 2024

Oikos

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Community trait variability can arise from the species, genotypic, or individual plastic level. Trait changes on these levels can occur simultaneously, interact, and potentially translate to community functioning. Thus, they are crucial to realistically predict community functional changes. Using a phytoplankton model community comprising a diatom and a coccolithophore each with nine genotypes varying in cell size, we conducted a selection experiment over 130 generations towards nutrient availability. According to our expectations, mean community cell size and total biomass increased with increasing nutrient availability. Interspecifically, these community level changes were driven by shifts in species composition towards the larger diatom. Changes caused by intraspecific shifts did not result from sorting according to genotypes' standing variation in cell size in the first place. Instead, intraspecific changes likely resulted from the selection for a highly plastic diatom genotype, which led to a phenotypic distribution with larger cells in high and smaller cells in lower nutrient concentrations. We suggest that besides interspecific species sorting, the evolution of size plasticity through genotype selection represented an intraspecific contribution to mean community size increase with increasing nutrient availability that ultimately translated to increased total biomass. Our results demonstrate that all three levels on which trait changes can occur, regulate phytoplankton community‐level functional changes and thus should be considered when predicting community change on ecological time scales.

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Modelling approaches for capturing plankton diversity (MODIV), their societal applications and data needs

Cited by 3 publications

References 95 publications

Modeling Dynamic Processes in the Black Sea Pelagic Habitat—Causal Connections between Abiotic and Biotic Factors in Two Climate Change Scenarios

Modeling Dynamic Processes in the Black Sea Pelagic Habitat—Causal Connections between Abiotic and Biotic Factors in Two Climate Change Scenarios

Integrating different facets of diversity into food web models: how adaptation among and within functional groups shape ecosystem functioning

Phytoplankton mean cell size and total biomass increase with nutrients are driven by both species composition and evolution of plasticity

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