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Climate warming drives multidimensional reorganization of global zooplankton community structure and function: an updated review

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Climate warming is fundamentally reshaping global zooplankton communities, impacting their structure and function through a complex interplay of environmental stressors—ocean warming, acidification, and intensified stratification, among others. This updated review synthesizes empirical evidence, highlighting how these drivers influence species distributions, body sizes, and ecosystem processes like carbon cycling and nutrient regeneration. Taxonomic and regional variability significantly affect these responses, demanding integrated approaches combining long-term observations and advanced modeling.
Climate warming drives multidimensional reorganization of global zooplankton community structure and function: an updated review

The recent review highlighting climate-driven reorganization of global zooplankton communities underscores a critical, and increasingly complex, challenge for marine ecosystem health. Zooplankton, often unseen but foundational to the ocean’s food web, are experiencing profound shifts in distribution, behavior, and function due to a confluence of climate stressors – warming waters, acidification, deoxygenation, and more frequent marine heatwaves. These aren’t isolated events; they act as interacting “environmental filters,” reshaping zooplankton communities in ways that are difficult to predict with certainty. The research builds upon the understanding of broader marine ecosystem challenges, as explored in [End-to-end modeling for the Ross Sea Region Marine Protected Area: a review of available tools for conservation objectives], which emphasizes the need for comprehensive modeling approaches to protect biodiversity and intricate interactions within changing environments. Further context is provided by [China’s participation and response to IMO legislation on shipping decarbonization: an analysis based on environmental regulatory approaches], highlighting the global effort required to mitigate climate impacts across sectors, including maritime activity that contributes to ocean warming and acidification.

The review’s emphasis on taxonomic and regional variability is particularly noteworthy. It moves beyond simplistic narratives of universal decline, demonstrating that different zooplankton groups – from microzooplankton to krill to jellyfish – respond uniquely to climate change. This nuanced perspective is vital for accurate modeling and targeted conservation strategies. The authors rightly point to the importance of considering functional responses beyond simple grazing, encompassing shifts in secondary production, nutrient cycling, and carbon transport. These alterations ripple through the entire marine food web, potentially impacting everything from fish populations to the efficiency of the biological carbon pump, a critical process for regulating atmospheric carbon dioxide levels. The sheer complexity of these interactions necessitates an integrated approach, one that incorporates long-term observations, trait-based analyses, and sophisticated process-based models. This aligns with the broader theme of leveraging data-driven innovation to improve ocean understanding, as discussed in [11 innovations to better understand the ocean through data - The World Economic Forum].

The identification of methodological and modeling uncertainties is also crucial. While the framework presented – driver-trait-structure-function-feedback – provides a valuable roadmap for future research, it also highlights the limitations of our current understanding. Accurately predicting the cascading effects of zooplankton reorganization requires a more refined ability to integrate disparate datasets and account for the complex interplay of environmental factors. The need for multifactorial experiments, molecular monitoring, and enhanced process-based models is clear; these will be essential for reducing uncertainty and improving predictive capabilities. The challenge lies not only in collecting more data but also in developing analytical tools capable of synthesizing this data into actionable insights. Validated, longitudinal datasets, calibrated against real-time observations, are becoming increasingly critical for tracking these shifts and informing adaptive management strategies.

Looking ahead, a key question revolves around the potential for positive feedback loops. Will climate-driven reorganization of zooplankton communities ultimately weaken the ocean’s capacity to absorb atmospheric carbon, accelerating climate change? Or can we leverage our growing ocean intelligence to develop interventions that promote resilience and mitigate negative impacts? The answer likely lies in a deeper understanding of the intricate relationships within marine ecosystems and a concerted global effort to reduce anthropogenic stressors. The scientific community’s commitment to empirical validation and peer-reviewed research will be paramount as we navigate this complex and evolving landscape.

Climate change is reorganizing zooplankton habitats through ocean warming, intensified stratification, acidification, deoxygenation, sea-ice loss, and increasingly frequent marine heatwaves. These interacting drivers act as environmental filters on zooplankton traits, leading to changes in species distributions, community composition, body-size structure, phenology, life-history strategies, and vertical habitat use. The resulting functional responses extend beyond grazing and include shifts in secondary production, trophic transfer, nutrient regeneration, microbial-loop processing, fecal-pellet and carcass export, and migration-mediated active carbon transport. However, these responses are not uniform across taxa or regions. Microzooplankton, crustacean mesozooplankton, krill, salps, appendicularians, jellyfish, and ctenophores differ markedly in their thermal sensitivity, feeding strategies, prey-size preferences, particle production, and contributions to the biological carbon pump. Consequently, climate-driven community reorganization may strengthen, weaken, or redirect ecosystem processes rather than produce a single, predictable decline in grazing control or carbon-export efficiency. This review synthesizes current evidence within a driver-trait-structure-function-feedback framework, evaluates taxonomic and regional variability, and identifies major methodological and modelling uncertainties. Integrating long-term observations, trait-based analyses, multifactorial experiments, molecular monitoring, and process-based models will be essential for predicting how zooplankton reorganization affects marine food webs and biogeochemical cycling under continued climate change.

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