Search bioRxiv⌕ Search

bioRxiv · 10.64898/2026.10.15.759496

Anomaly detection uncovers emerging novelty in coral assemblages of the Great Barrier Reef

Abstract

Earth's biosphere is being altered by human actions, with all ecosystems, especially coral reefs, rapidly transforming in response to climate change and local stressors. As these changes manifest, ecology needs tools to measure change from past states, termed "ecological novelty", within complex multidimensional data such as taxa-abundance time series. Here we use an anomaly detection method new to ecology, Local Outlier Factor (LOF), to measure ecological novelty via neighborhood density in compositional space. We estimated novelty using LOF within 106 coral time series, spanning 29 years, from a long-term monitoring program on the Great Barrier Reef (GBR). We tested whether reef assemblages were becoming more novel over time and whether novelty correlated with common ecological indicators: coral cover, diversity and assemblage turnover. We found novelty correlated with low coral cover, low diversity and high turnover. Even after accounting for these correlations, we found reefs became more novel over time, with novelty across the GBR increasing by 15% between 1998 and 2021. We conclude that GBR coral assemblages are systematically shifting away from past compositional states, a detectable trend on a decadal scale that is increasing across all GBR regions. Our results indicate that anomaly detection methods can contribute to both ecological research and management by providing a new way to quantify ecological novelty under climate change and anthropogenic pressures. Novelty can be estimated from compositional data without needing to establish reference baselines, providing a unique, non-equilibrium perspective that can advance ecological research aims and incorporate into conservation and restoration decision-making frameworks across different taxa and ecosystems. For reef assemblages, the widespread and consistent increase in novelty we identified echo warnings of a global ecological crisis. While a novel species assemblage does not necessarily translate into altered reef functionality or loss of resilience, our findings point to a new for reef management to account for the increasing gap between past reef states and emerging states of the future.

Explore related subjects

Keep this discovery

Explore connections, maps & timelines

BibTeXRIS

Staples, T. L., Kim, S. W., Crossman, K., Pandolfi, J. M.. 2026-10-16. Anomaly detection uncovers emerging novelty in coral assemblages of the Great Barrier Reef. https://doi.org/10.64898/2026.10.15.759496

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related preprints

Climate change and extreme weather events to intensify West Nile virus activity

Vector-borne zoonotic diseases pose a substantive risk to public health worldwide, yet predicting outbreaks at scales useful for public health response remains a critical challenge. Transmitted by Culex mosquitoes, West Nile virus is the leading cause of arboviral disease in the United States, progressing to neuroinvasive disease in approximately 1% of infections. Arizona's record-breaking 2021 outbreak, with 1,715 reported human cases and 127 deaths exemplifies this growing burden. Using a decade of mosquito surveillance data coupled with time-lagged weather patterns in a random forest framework, we developed spatial models predicting Culex abundance and West Nile virus occurrence across Arizona at weekly temporal and fine spatial resolution. Our weighted models classified viral occurrence with 98.9% accuracy and explained 65.3% of weekly variation in county-level human cases, with human cases lagging modeled activity by one week. Neither mosquito abundance nor viral occurrence declined at the extreme temperatures characteristic of Arizona summers, suggesting that thermal refugia sustain transmission. Drought-monsoon cycling, rather than temperature alone, emerged as the primary driver of West Nile activity, and projections through 2100 indicate intensifying activity under all climate change scenarios.

ecology↗

Differing patterns in community composition and diversity of biofilm-forming bacteria and fungi along a large salinity gradient

Aim: Biofilms are complex ecosystems formed by phototrophic and heterotrophic organisms, such as bacteria and fungi. Biofilms are hotspots for microbial activity and crucial for the functioning of all aquatic ecosystems, but they are overlooked and poorly studied, especially along large environmental gradients. We aimed at resolving the responses of bacterial and fungal communities to environmental variation along a gradient with strong variation in environmental factors, especially salinity. We also investigated whether the diversity of biofilm-forming bacteria and fungi follows the pattern predicted by the Remane curve, which posits that species diversity is lowest at intermediate salinity. Location: 2300-km-long spatial gradient in the Baltic Sea, Northern Europe Time period: August 2018 Major taxa studied: Biofilm-forming bacteria and fungi Methods: We investigated the composition and diversity of bacteria and fungi by collecting biofilm samples from 42 shallow benthic ecosystems. We also characterized key environmental variables, such as salinity, nutrient concentrations, wind exposure, and climatic conditions. Bacterial and fungal communities in biofilm samples were identified using Illumina MiSeq sequencing. Results: We found that bacteria and fungi responded differently to environmental variation. Bacterial communities were mainly controlled by salinity, and their diversity was lowest in the intermediate salinity. Bacterial communities were also dominated by different bacterial orders in high, intermediate, and low salinity. Fungal communities, instead, were jointly controlled by several environmental variables, i.e., salinity, water temperature, wind exposure, and nutrients, and their diversity or composition did not show a clear pattern along the salinity gradient. Main conclusions: To our knowledge, this is one of the first studies to investigate the biofilm-forming communities, especially fungal communities, along large environmental gradients. Our results highlight the role of biofilms as complex ecosystems where organisms ecological requirements are unique and variable.

ecology↗

Reinforcement Learning Reveals Spatial Strategies for Slowing Biological Invasions

Managing biological invasions requires deciding where, when, and how to act while populations continue to grow and spread. Invasive species threaten ecosystems and livelihoods, but limited management resources mean that managers cannot treat every affected area. This study asks how control efforts can be directed across a landscape to slow an invasion while keeping costs low. We develop a reinforcement-learning framework that can use broader spatial context to control biological invasions, using the spongy moth as a case study. The stochastic simulator captures host-dependent growth, short- and long-distance dispersal, density-dependent mating, and the effects of multiple treatments. The reinforcement-learning strategies are compared with benchmarks that are based on local treatment rules. We find that reinforcement learning achieves the lowest mean cost, with its advantage widening as management complexity increases, such as with simultaneous advancing-front control, nascent-colony management, and established-colony containment on heterogeneous-host landscapes. The reinforcement-learning strategies exhibit highly context-dependent treatment behavior, adjusting treatment choices as invasion dynamics evolve and coordinating interventions across long distances, all of which is learned from scratch.

ecology↗