Andrew S. Hoey’s research while affiliated with James Cook University and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (308)


Dornelas et al. 2025 - BioTIME 2.0 - Supplement 1_geb70003-sup-0001-files1.pdf
  • Data

May 2025

·

4 Reads

Maria Dornelas

·

Laura Antão

·

·

[...]

·

Assaf Zvuloni

Dornelas et al. 2025 - BioTIME 2.0 - Supplement 3_geb70003-sup-0003-files3.docx
  • Data
  • File available

May 2025

·

20 Reads

Download



BioTIME 2.0: Expanding and Improving a Database of Biodiversity Time Series

May 2025

·

1,263 Reads

Motivation Here, we make available a second version of the BioTIME database, which compiles records of abundance estimates for species in sample events of ecological assemblages through time. The updated version expands version 1.0 of the database by doubling the number of studies and includes substantial additional curation to the taxonomic accuracy of the records, as well as the metadata. Moreover, we now provide an R package (BioTIMEr) to facilitate use of the database. Main Types of Variables Included The database is composed of one main data table containing the abundance records and 11 metadata tables. The data are organised in a hierarchy of scales where 11,989,233 records are nested in 1,603,067 sample events, from 553,253 sampling locations, which are nested in 708 studies. A study is defined as a sampling methodology applied to an assemblage for a minimum of 2 years. Spatial Location and Grain Sampling locations in BioTIME are distributed across the planet, including marine, terrestrial and freshwater realms. Spatial grain size and extent vary across studies depending on sampling methodology. We recommend gridding of sampling locations into areas of consistent size. Time Period and Grain The earliest time series in BioTIME start in 1874, and the most recent records are from 2023. Temporal grain and duration vary across studies. We recommend doing sample-level rarefaction to ensure consistent sampling effort through time before calculating any diversity metric. Major Taxa and Level of Measurement The database includes any eukaryotic taxa, with a combined total of 56,400 taxa. Software Format csv and. SQL.


Figure 1| Theoretical relationship between sustainable yield losses and required biomass 116 gains in coral reef fisheries. Conceptual surplus production curve diagram exemplifying how to 117 quantify (i) the sustainable yield lost from having fish assemblages below biomass levels aimed 118 at maximizing sustainable production BMMSY (Bcurrent<BMMSY) and (ii) the required biomass 119 increases to recover assemblages to either maximum production values (MMSY) or pretty good 120 multispecies yields (PGMY). The x axis represents the standing fish assemblage biomass and the 121
Figure 2| Per unit area sustainable yield lost from coral reef assemblages. (A) Posterior 167 median sustainable yield loss for coral reef sites open to fishing classified as being below BMMSY. 168
Potential yield and food provisioning gains from rebuilding the worlds coral reef fish stocks

May 2025

·

66 Reads

Many coral reefs have fish stocks that are depleted below the level at which sustainable production is maximized. Lower production means that millions of people are losing out on potential food, income and livelihoods. Rebuilding these stocks to maximize sustainable production can contribute towards ending hunger and malnutrition but requires active and effective fisheries management. Yet, for fish stock recovery plans to be implemented, recovery benefits, targets and timeframes need to be quantified. Here, using 1211 individual reef sites and 23 jurisdictions identified globally as being below maximum sustainable production levels, we show that reefs have the potential to increase sustainable yields by nearly 50% if allowed to recover towards their maximum production levels. For individual jurisdictions this recovery represents from 20,000 up to 162 million additional sustainable servings of reef fish per year in comparison to current sustainable production, meeting recommended seafood intake for up to 1. 4 million additional people a year. However, such growth and food provisioning will require fish stocks to double their standing biomass (increase by a median of 32 t/km ² ). Recovery timeframes range from 6.4 years under the most stringent scenario (a seascape moratorium) to 49.7 years under the maximum harvest scenario that results in recovery. We find that locations with the greatest potential for sustainable gains in yield are among those with the greatest food and micronutrient deficiencies, underscoring both the challenges and opportunities in recovering fish assemblages to achieve their maximum sustainable potential. Significance Statement Coral reef fisheries are a critical food source for people throughout the tropics. However, most reefs around the globe have fish biomass values below those enabling maximal sustainable production, risking food availability, income, and livelihoods. Rebuilding fish assemblages can increase sustainable food supplies, and, if these are well distributed, directly contribute towards enhanced food security. We show that recovering fish stocks on coral reefs can significantly increase the number of sustainable fish servings produced per year and the number of people meeting fish intake recommendations, particularly for countries with high malnutrition. Our study highlights the sustainable food provisioning potential of recovering reef fisheries and quantifies how much recovery would be needed and the time such recovery would take.


Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out

April 2025

·

110 Reads

·

2 Citations

Passive acoustic monitoring can offer insights into the state of coral reef ecosystems at low-costs and over extended temporal periods. Comparison of whole soundscape properties can rapidly deliver broad insights from acoustic data, in contrast to detailed but time-consuming analysis of individual bioacoustic events. However, a lack of effective automated analysis for whole soundscape data has impeded progress in this field. Here, we show that machine learning (ML) can be used to unlock greater insights from reef soundscapes. We showcase this on a diverse set of tasks using three biogeographically independent datasets, each containing fish community (high or low), coral cover (high or low) or depth zone (shallow or mesophotic) classes. We show supervised learning can be used to train models that can identify ecological classes and individual sites from whole soundscapes. However, we report unsupervised clustering achieves this whilst providing a more detailed understanding of ecological and site groupings within soundscape data. We also compare three different approaches for extracting feature embeddings from soundscape recordings for input into ML algorithms: acoustic indices commonly used by soundscape ecologists, a pretrained convolutional neural network (P-CNN) trained on 5.2 million hrs of YouTube audio, and CNN’s which were trained on each individual task (T-CNN). Although the T-CNN performs marginally better across tasks, we reveal that the P-CNN offers a powerful tool for generating insights from marine soundscape data as it requires orders of magnitude less computational resources whilst achieving near comparable performance to the T-CNN, with significant performance improvements over the acoustic indices. Our findings have implications for soundscape ecology in any habitat.





Citations (58)


... Emerging research shows that networks pretrained on unrelated terrestrial bioacoustic data transfer well to similar bioacoustic domains, enabling few-shot learning [9]. However, the ability of pretrained bioacoustic networks to transfer to highly novel domains, such as aquatic environments, is largely untested [14]. Substantial domain shifts may require the development of novel pretrained networks to achieve accurate few-shot transfer learning. ...

Reference:

Using tropical reef, bird and unrelated sounds for superior transfer learning in marine bioacoustics
Unlocking the soundscape of coral reefs with artificial intelligence: pretrained networks and unsupervised learning win out

... Nalmpanti et al. (2023) presented video based marine monitoring approach. Some works focused on analysis and detection of fish based applications to video modality (Hsu et al. 2025;Stobart et al. 2025;Jahanbakht et al. 2023). Underwater video transmission is actively researched in works like Hegazy et al. (2021), Zheng et al. (2024b), Qi et al. (2024) and Smolyaninov et al. (2024). ...

Optimizing remote underwater video sampling to quantify relative abundance, richness, and corallivory rates of reef fish

Coral Reefs

... Reef. Despite the limited direct human pressures on CSMP reefs, they are increasingly being exposed to the effects of climate change with seven major coral bleaching events recorded in the CSMP in the past two decades (2002, 2004, 2016, 2017, 2020, 2021 and 2022), with five of these bleaching events occurring in the past eight years (Oxley et al. 2004, Harrison et al. 2018, Hoey et al. 2020 These recurrent bleaching events have caused considerable declines in coral cover across CSMP reefs, although there was considerable variation in the change in coral cover among individual reefs (Hoey et al. 2021(Hoey et al. , 2023 Despite the cultural and ecological significance of Ashmore and Boot Reefs our understanding of the habitats (both shallow and deep) within these reefs, the biodiversity they support, and the status of culturally significant species is limited. ...

Coral Sea Marine Park Coral Reef Health Survey 2023-2024

... However, many areas are unsampled or undersampled within this enormous range, and given the uncertainty of morphological identification, they require genotyping to confirm identity. Additionally, a significant structure characterizes verified T. maxima populations across this vast range, and deep divisions may indicate incipient species formation ( [49], Figure 4). While T. maxima populations have been well studied in the western IO, Indo-Malay region, and Western Pacific, they have been little surveyed along and off the coastline of Western Australia in the eastern IO until now [35] (Figure 5). ...

Of Clams and Clades: Genetic Diversity and Connectivity of Small Giant Clams (Tridacna maxima) in the Southern Pacific Ocean

... These organisms often occur in great numbers, have the capacity to exploit microscopic food sources, and exhibit rapid growth and turnover, giving them an important role in connecting various compartments of food webs (Barnes et al., 2016;Baxter et al., 2005;Potapov, 2022). Yet, due to their small size, they are often difficult to monitor and, concerningly, small consumers may be particularly vulnerable to anthropogenic impacts (Brandl et al., 2024;Koltz, Burkle, et al., 2018;Pollierer et al., 2023;Ripple et al., 2017;Wagner et al., 2021). Understanding the pathways, pace, and efficiency with which these organisms make essential elements available to larger consumers requires not only a detailed inventory of the small consumer species that are present but also a holistic understanding of their internal food web structure, their size structure, and the life history and physiology of the dominant species Trebilco et al., 2013;White et al., 2007). ...

Unifying Coral Reef States Through Space and Time Reveals a Changing Ecosystem

... It has been shown that gravity diminishes the effectiveness of marine reserves at sustaining reef fish biomass and the presence of top predators, even where compliance with reserve rules is high [47]. It is also strongly related to biomass production and turnover in fish communities [3], and more importantly, to the fisheries' impact on fish biomass [48,62]. ...

Protection efforts have resulted in ~10% of existing fish biomass on coral reefs

Proceedings of the National Academy of Sciences

... For each community, we characterized three aspects of environmental variability that capture (i) the linear trend in sea surface temperature through time (hereafter SST change); (ii) the temporal variability in SST caused by increasingly frequent marine heatwaves (hereafter CV SST ) and (iii) the temporal variability in marine primary productivity, measured by chlorophyll a content (hereafter CV Chlorophyll ), as it can directly influence the stability of fish communities [46]. We assessed the intensity of human pressures using the human gravity index, which integrates both reef accessibility and human population density, providing a relevant proxy of biomass depletion by fisheries on shallow reef ecosystems [47,48]. We estimated four facets of functional diversity (i.e. ...

Managing nutrition-biodiversity trade-offs on coral reefs

Current Biology

... These seamounts possess diverse marine habitats including shallow coral reefs, their associated lagoons, coral bommies and deep mesophotic to rariphotic coral ecosystems (Ceccarelli 2011;Ceccarelli et al. 2013;Muir et al. 2015;Englebert et al. 2017;Baldwin et al. 2018). Recent ecological monitoring and baseline surveys have begun to establish knowledge of shallow coral reefs in the CSMP (Ayling and Ayling 1985;Ceccarelli et al. 2008;Hoey et al. 2023), but much of the region's biodiversity (especially in deeper waters; Beaman et al. 2016;Bridge et al. 2019;Galbraith, Cresswell, et al. 2022; FIGURE 1 | Location of the Coral Sea Marine Park (CSMP), offshore from the Great Barrier Reef, east coast Australia. Inset in the top right-hand corner details survey effort conducted by diver underwater visual census and remotely operated vehicles between 2018 and 2024 at 448 sites at 19 reefs throughout the CSMP at depths between 2 and 110 m (annual monitoring by James Cook University). ...

Coral Sea Marine Park Coral Reef Health Survey 2023

... According to previous research by Putra et al. (2020b), the Acanthuridae family represented more than 70% of eroding EAM and removed nearly 70% of daily EAM productivity in the coral ecosystem. The presence of another macroalgae eroder (Siganidae family) does not support the competition between fleshy seaweed and live coral cover (Ditzel et al. 2022;Zarco-Perello et al. 2024). ...

Biogeographical diet variation within and between the rabbitfishes Siganus corallinus, Siganus doliatus, Siganus trispilos and Siganus virgatus