Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species

Invasive alien species (IAS) are a threat to biodiversity and ecosystem function worldwide. Unfortunately, researchers, agencies, and other management groups face the unresolved challenge of effectively detecting and monitoring IAS at large spatial and temporal scales. To improve the detection of so...

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Main Authors: José W. Ribeiro, Kristopher Harmon, Gabriel Augusto Leite, Tomaz Nascimento de Melo, Jack LeBien, Marconi Campos-Cerqueira
Format: Article
Language:English
Published: MDPI AG 2022-09-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/14/18/4565
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author José W. Ribeiro
Kristopher Harmon
Gabriel Augusto Leite
Tomaz Nascimento de Melo
Jack LeBien
Marconi Campos-Cerqueira
author_facet José W. Ribeiro
Kristopher Harmon
Gabriel Augusto Leite
Tomaz Nascimento de Melo
Jack LeBien
Marconi Campos-Cerqueira
author_sort José W. Ribeiro
collection DOAJ
description Invasive alien species (IAS) are a threat to biodiversity and ecosystem function worldwide. Unfortunately, researchers, agencies, and other management groups face the unresolved challenge of effectively detecting and monitoring IAS at large spatial and temporal scales. To improve the detection of soniferous IAS, we introduced a pipeline for large-scale passive acoustic monitoring (PAM). Our main goal was to illustrate how PAM can be used to rapidly provide baseline information on soniferous IAS. To that aim, we collected acoustic data across Puerto Rico from March to June 2021 and used single-species occupancy models to investigate species distribution of species in the archipelago and to assess the peak of vocal activity. Overall, we detected 16 IAS (10 birds, 3 mammals, and 3 frogs) and 79 native species in an extensive data set with 1,773,287 1-min recordings. Avian activity peaked early in the morning (between 5 a.m. and 7 a.m.), while amphibians peaked between 1 a.m. and 5 a.m. Occupancy probability for IAS in Puerto Rico ranged from 0.002 to 0.67. In general, elevation and forest cover older than 54 years were negatively associated with IAS occupancy, corroborating our expectation that IAS occurrence is related to high levels of human disturbance and present higher occupancy probabilities in places characterized by more intense human activities. The work presented here demonstrates that PAM is a workable solution for monitoring vocally active IAS over a large area and provides a reproducible workflow that can be extended to allow for continued monitoring over longer timeframes.
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spelling doaj.art-762a9383438d4f1e9e4b0545025e29582023-11-23T18:44:47ZengMDPI AGRemote Sensing2072-42922022-09-011418456510.3390/rs14184565Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien SpeciesJosé W. Ribeiro0Kristopher Harmon1Gabriel Augusto Leite2Tomaz Nascimento de Melo3Jack LeBien4Marconi Campos-Cerqueira5Rainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USARainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USARainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USARainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USARainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USARainforest Connection, Science Department, 440 Cobia Drive, Suite 1902, Katy, TX 77494, USAInvasive alien species (IAS) are a threat to biodiversity and ecosystem function worldwide. Unfortunately, researchers, agencies, and other management groups face the unresolved challenge of effectively detecting and monitoring IAS at large spatial and temporal scales. To improve the detection of soniferous IAS, we introduced a pipeline for large-scale passive acoustic monitoring (PAM). Our main goal was to illustrate how PAM can be used to rapidly provide baseline information on soniferous IAS. To that aim, we collected acoustic data across Puerto Rico from March to June 2021 and used single-species occupancy models to investigate species distribution of species in the archipelago and to assess the peak of vocal activity. Overall, we detected 16 IAS (10 birds, 3 mammals, and 3 frogs) and 79 native species in an extensive data set with 1,773,287 1-min recordings. Avian activity peaked early in the morning (between 5 a.m. and 7 a.m.), while amphibians peaked between 1 a.m. and 5 a.m. Occupancy probability for IAS in Puerto Rico ranged from 0.002 to 0.67. In general, elevation and forest cover older than 54 years were negatively associated with IAS occupancy, corroborating our expectation that IAS occurrence is related to high levels of human disturbance and present higher occupancy probabilities in places characterized by more intense human activities. The work presented here demonstrates that PAM is a workable solution for monitoring vocally active IAS over a large area and provides a reproducible workflow that can be extended to allow for continued monitoring over longer timeframes.https://www.mdpi.com/2072-4292/14/18/4565birdsanuransmammalsoccupancy modelecoacousticssoundscape
spellingShingle José W. Ribeiro
Kristopher Harmon
Gabriel Augusto Leite
Tomaz Nascimento de Melo
Jack LeBien
Marconi Campos-Cerqueira
Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
Remote Sensing
birds
anurans
mammals
occupancy model
ecoacoustics
soundscape
title Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
title_full Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
title_fullStr Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
title_full_unstemmed Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
title_short Passive Acoustic Monitoring as a Tool to Investigate the Spatial Distribution of Invasive Alien Species
title_sort passive acoustic monitoring as a tool to investigate the spatial distribution of invasive alien species
topic birds
anurans
mammals
occupancy model
ecoacoustics
soundscape
url https://www.mdpi.com/2072-4292/14/18/4565
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