Simon Elise

Dr. Simon Elise

orcid

Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Ecological Indicators
Verified
Journal Article
Open access
Isabel Urbina-BarretoIsabel Urbina-Barreto
Isabel Urbina-Barreto
Frédéric ChiroleuFrédéric Chiroleu
Frédéric Chiroleu
RPRomain Pinel
Romain Pinel
LFLouis Fréchon
Louis Fréchon
VMVincent Mahamadaly
Vincent Mahamadaly
MAMehdi Adjeroud
Mehdi Adjeroud

6 May 2025 in Global Ecology and Biogeography
Verified
Journal Article
Open access
KDKevin F. A. Darras
Kevin F. A. Darras
RRRodney A. Rountree
Rodney A. Rountree
SWSteven L. Van Wilgenburg
Steven L. Van Wilgenburg
ACAnna Cord
Anna Cord
FPFrederik Pitz
Frederik Pitz
TWThomas Cherico Wanger
Thomas Cherico Wanger
Aim: The urgency for remote, reliable and scalable biodiversity monitoring amidst mounting human pressures on ecosystems has sparked worldwide interest in Passive Acoustic Monitoring (PAM), which can track life underwater and on land. However, we lack a unified methodology to report this sampling effort and a comprehensive overview of PAM coverage to gauge its potential as a global research and monitoring tool. To address this gap, we created the Worldwide Soundscapes project, a collaborative network and growing database comprising metadata from 416 datasets across all realms (terrestrial, marine, freshwater and subterranean).Location: Worldwide, 12,343 sites, all ecosystem types.Time Period: 1991 to present.Major Taxa Studied: All soniferous taxa.Methods: We synthesise sampling coverage across spatial, temporal and ecological scales using metadata describing sampling locations, deployment schedules, focal taxa and audio recording parameters. We explore global trends in biological, anthropogenic and geophysical sounds based on 168 selected recordings from 12 ecosystems across all realms.Results: Terrestrial sampling is spatially denser (46 sites per million square kilometre—Mkm2) than aquatic sampling (0.3 and 1.8 sites/Mkm2 in oceans and fresh water) with only two subterranean datasets. Although diel and lunar cycles are well sampled across realms, only marine datasets (55%) comprehensively sample all seasons. Across the 12 ecosystems selected for exploring global acoustic trends, biological sounds showed contrasting diel patterns across ecosystems, declined with distance from the Equator, and were negatively correlated with anthropogenic sounds.Main Conclusions: PAM can inform macroecological studies as well as global conservation and phenology syntheses, but representation can be improved by expanding terrestrial taxonomic scope, sampling coverage in the high seas and subterranean ecosystems, and spatio‐temporal replication in freshwater habitats. Overall, this worldwide PAM network holds promise to support cross‐realm biodiversity research and monitoring efforts.

1 December 2019 in Ecological Indicators
Verified
Journal Article
Open access
SESimon Elise
Simon Elise
IUIsabel Urbina-Barreto
Isabel Urbina-Barreto
RPRomain Pinel
Romain Pinel
VMVincent Mahamadaly
Vincent Mahamadaly
SBSophie Bureau
Sophie Bureau
JBJ. Henrich Bruggemann
J. Henrich Bruggemann

1 December 2019 in Ecological Indicators
Verified
Journal Article
Open access
SESimon Elise
Simon Elise
ABArthur Bailly
Arthur Bailly
IUIsabel Urbina-Barreto
Isabel Urbina-Barreto
GMGérard Mou-Tham
Gérard Mou-Tham
FCFrédéric Chiroleu
Frédéric Chiroleu
JBJ. Henrich Bruggemann
J. Henrich Bruggemann


16 May 2022 in Remote Sensing
Verified
Journal Article
Open access
PDF file
SESimon Elise
Simon Elise
FGFrançois Guilhaumon
François Guilhaumon
GMGérard Mou-Tham
Gérard Mou-Tham
Isabel Urbina-BarretoIsabel Urbina-Barreto
Isabel Urbina-Barreto
LVLaurent Vigliola
Laurent Vigliola
JBJ. Henrich Bruggemann
J. Henrich Bruggemann
Ecological surveys of coral reefs mostly rely on visual data collected by human observers. Although new monitoring tools are emerging, their specific advantages should be identified to optimise their simultaneous use. Based on the goodness-of-fit of linear models, we compared the potential of passive acoustics and environmental data for predicting the structure of coral reef fish assemblages in different environmental and biogeographic settings. Both data types complemented each other. Globally, the acoustic data showed relatively low added value in predicting fish assemblage structures. The predictions were best for the distribution of fish abundance among functional entities (i.e., proxies for fish functional groups, grouping species that share similar eco-morphological traits), for the simplest functional entities (i.e., combining two eco-morphological traits), and when considering diet and the level in the water column of the species. Our study demonstrates that Passive Acoustic Monitoring (PAM) improves fish assemblage assessment when used in tandem with environmental data compared to using environmental data alone. Such combinations can help with responding to the current conservation challenge by improving our surveying capacities at increased spatial and temporal scales, facilitating the identification and monitoring of priority management areas.