Inadequacies in the representation of sub-seasonal phytoplankton dynamics in Earth system models DOI Creative Commons

M. G. Keerthi,

Olivier Aumont, Lester Kwiatkowski

et al.

Published: Aug. 16, 2024

Abstract. Sub-seasonal phytoplankton dynamics on timescales between 8 days and 3 months significantly contribute to annual fluctuations, making it essential accurately represent this variability in ocean models avoid distorting long-term trends. This study assesses the capability of Earth System Models (ESMs) participating Coupled Model Intercomparison Project Phase 6 (CMIP6) reproduce sub-seasonal surface variations observed color satellite data. Our findings reveal that, unlike sea temperature, all struggle total variance its decomposition across sub-seasonal, seasonal, multi-annual timescales. Over historical period, some strongly overestimate exaggerate role while others underestimate it. analysis suggest that underestimation is likely a consequence coarse horizontal resolution CMIP6 models, which insufficient resolve mesoscale processes—a limitation potentially alleviated with higher-resolution models. Conversely, we overestimation intrinsic oscillations such as predator-prey certain biogeochemical ESMs consistently show reduction at seasonal during 21st century under high-emission scenarios. The poor simulating chlorophyll casts doubt their projections these temporal scales underscores need enhance spatial constrain improve dynamics.

Language: Английский

Emergent Relationships Between the Functional Diversity of Marine Planktonic Copepods and Ecosystem Functioning in the Global Ocean DOI Creative Commons
Fabio Benedetti,

Jonas Wydler,

Corentin Clerc

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

ABSTRACT Copepods are a major group of the mesozooplankton and thus key part marine ecosystems worldwide. Their fitness life strategies determined by their functional traits which allow different species to exploit various ecological niches. The range expressed in community defines its diversity (FD), can be used investigate how communities utilize resources shape ecosystem processes. However, spatial patterns copepod FD relation functioning remain poorly understood on global scale. Here, we use estimates composition derived from distribution models combination with indicators multiple facets FD, relationships richness We also project anthropogenic climate change will impact FD. find that respond variable strength directions: richness, divergence, dispersion increase whereas evenness trait dissimilarity decrease. primary production, biomass carbon export efficiency decrease divergence dispersion. This suggests may disproportionally influenced few dominant line mass ratio hypothesis. Furthermore, is projected promote homogenization globally, globally. emergent covariance between functions here strongly call for better integrating measurements into field studies across scales understand effects changing zooplankton biodiversity functioning.

Language: Английский

Citations

1
DNA metabarcoding captures temporal and vertical dynamics of mesozooplankton communities DOI Creative Commons
Andreas Novotny, Clara F. Rodrigues, Loïc Jacquemot

et al.

ICES Journal of Marine Science, Journal Year: 2025, Volume and Issue: 82(2)

Published: Jan. 20, 2025

Abstract In this study, we evaluated how well DNA metabarcoding of environmental samples captures changes in marine mesozooplankton community composition to optimize the use sequencing data for studying seasonal dynamics. Although is increasingly used monitor distribution communities, there a lack standardized methods, and it remains uncertain what extent reflects patterns dynamics observed by other methods. Zooplankton net were collected every second week throughout 2017 northern Salish Sea, British Columbia. We compared two genetic markers (18S targeting eukaryotes cytochrome oxidase I invertebrates) with microscopic assessments zooplankton collected. also transformation using relative abundance, presence/absence, eDNA-index, affects linearity between morphological Despite low taxonomic agreement microscopy, found most biomass dominating genera be represented. Using generally good congruence cycles microscopy DNA, that discrete water analyzed can provide information on vertical distributions genera. conclude presenting guidelines future studies aim study

Language: Английский

Citations

0
Autonomous instrumentation and big data: New windows, knowledge, and breakthroughs in the aquatic sciences DOI
Steeve Comeau, Werner Eckert, Dominique Lefèvre

et al.

Limnology and Oceanography, Journal Year: 2025, Volume and Issue: unknown

Published: April 23, 2025

Language: Английский

Citations

0
Pathways for converting zooplankton traits to ecological insights are paved with findable, accessible, interoperable, and reusable (FAIR) data practices DOI Creative Commons
Jessica Titocci, Patrick R. Pata, Tiziana Durazzano

et al.

ICES Journal of Marine Science, Journal Year: 2025, Volume and Issue: 82(2)

Published: Feb. 1, 2025

Abstract The use of trait-based approaches and trait data in zooplankton ecology is rapidly growing to better understand predict the patterns distributions their role aquatic ecosystems biogeochemical cycles. Although number studies available datasets increasing, several challenges remain for findability, accessibility, interoperability, reusability (FAIR) that, if unaddressed, may stifle progress this research area. Here, we review recent applications summarize currently resources. To realize potential resolve ecological roles zooplankton, must adhere FAIR principles. We provide recommendations pathways forward ensure FAIRness while highlighting importance collaborative efforts. These practical easily implementable strategies will enhance data, ultimately advancing connecting these findings ecosystem functioning.

Language: Английский

Citations

0
Inadequacies in the representation of sub-seasonal phytoplankton dynamics in Earth system models DOI Creative Commons

M. G. Keerthi,

Olivier Aumont, Lester Kwiatkowski

et al.

Biogeosciences, Journal Year: 2025, Volume and Issue: 22(9), P. 2163 - 2180

Published: May 5, 2025

Abstract. Sub-seasonal phytoplankton dynamics on timescales between 8 d and 3 months significantly contribute to annual fluctuations, making it essential accurately represent this variability in ocean models avoid distorting long-term trends. This study assesses the capability of Earth system (ESMs) participating Coupled Model Intercomparison Project Phase 6 (CMIP6) reproduce sub-seasonal surface variations observed colour satellite data. Our findings reveal that, unlike sea temperature, all struggle total variance its decomposition across sub-seasonal, seasonal multi-annual timescales. Over historical period, some strongly overestimate exaggerate role while others underestimate it. analysis suggests that underestimation is likely a consequence coarse horizontal resolution CMIP6 models, which insufficient resolve mesoscale processes – limitation potentially alleviated with higher-resolution models. Conversely, we suggest overestimation intrinsic oscillations such as predator–prey certain biogeochemical ESMs consistently show reduction at during 21st century under high-emission scenarios. The poor simulating chlorophyll casts doubt their projections these temporal scales underscores need enhance spatial constrain improve dynamics.

Language: Английский

Citations

0
Inadequacies in the representation of sub-seasonal phytoplankton dynamics in Earth system models DOI Creative Commons

M. G. Keerthi,

Olivier Aumont, Lester Kwiatkowski

et al.

Published: Aug. 16, 2024

Abstract. Sub-seasonal phytoplankton dynamics on timescales between 8 days and 3 months significantly contribute to annual fluctuations, making it essential accurately represent this variability in ocean models avoid distorting long-term trends. This study assesses the capability of Earth System Models (ESMs) participating Coupled Model Intercomparison Project Phase 6 (CMIP6) reproduce sub-seasonal surface variations observed color satellite data. Our findings reveal that, unlike sea temperature, all struggle total variance its decomposition across sub-seasonal, seasonal, multi-annual timescales. Over historical period, some strongly overestimate exaggerate role while others underestimate it. analysis suggest that underestimation is likely a consequence coarse horizontal resolution CMIP6 models, which insufficient resolve mesoscale processes—a limitation potentially alleviated with higher-resolution models. Conversely, we overestimation intrinsic oscillations such as predator-prey certain biogeochemical ESMs consistently show reduction at seasonal during 21st century under high-emission scenarios. The poor simulating chlorophyll casts doubt their projections these temporal scales underscores need enhance spatial constrain improve dynamics.

Language: Английский

Citations

0