Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning

As the rate of urbanisation continues to increase, widespread habitat clearing within peri-urban landscapes contributes to significant environmental impacts, including loss of biological diversity. Acoustic recording has recently been identified as an effective tool for monitoring biodiversity and e...

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Autores principales: Briana Holgate, Ramona Maggini, Susan Fuller
Formato: article
Lenguaje:EN
Publicado: Elsevier 2021
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Acceso en línea:https://doaj.org/article/baaf3a0a2e0f4c2fbb93dc5a9f70e917
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spelling oai:doaj.org-article:baaf3a0a2e0f4c2fbb93dc5a9f70e9172021-12-01T04:49:48ZMapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning1470-160X10.1016/j.ecolind.2021.107627https://doaj.org/article/baaf3a0a2e0f4c2fbb93dc5a9f70e9172021-07-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21002922https://doaj.org/toc/1470-160XAs the rate of urbanisation continues to increase, widespread habitat clearing within peri-urban landscapes contributes to significant environmental impacts, including loss of biological diversity. Acoustic recording has recently been identified as an effective tool for monitoring biodiversity and ecosystem health. With increasing pressure from urbanisation, it is critical that spatial and temporal variability in biodiversity is mapped across future development sites to enable sound decision-making and to deliver ecological urban design outcomes. This study used ecoacoustic monitoring to map biodiversity patterns in space and time to identify hot spots and hot moments of biodiversity activity across a peri-urban landscape in south-east Queensland, Australia. In this study, a hot spot represents an increase in acoustic activity at a given spatial location, whereas hot moments represent an increase in acoustic activity at a given time point. An acoustic index (Acoustic Complexity Index, ACI) was used as a proxy for biodiversity and visualised through spatial interpolation. The acoustic data were statistically modelled using Boosted Regression Trees (BRT). This approach enabled predictors related to acoustic complexity to be identified, including vegetation and landform. Results of this study have shown that ecoacoustic data can be used to map hot spots and hot moments of biodiversity and support more informed conservation decision-making in future urban planning frameworks, to avoid or mitigate negative impacts on biodiversity.Briana HolgateRamona MagginiSusan FullerElsevierarticleEcoacousticsAcoustic complexity indexSpatial interpolationBiodiversityConservation planningUrbanisationEcologyQH540-549.5ENEcological Indicators, Vol 126, Iss , Pp 107627- (2021)
institution DOAJ
collection DOAJ
language EN
topic Ecoacoustics
Acoustic complexity index
Spatial interpolation
Biodiversity
Conservation planning
Urbanisation
Ecology
QH540-549.5
spellingShingle Ecoacoustics
Acoustic complexity index
Spatial interpolation
Biodiversity
Conservation planning
Urbanisation
Ecology
QH540-549.5
Briana Holgate
Ramona Maggini
Susan Fuller
Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
description As the rate of urbanisation continues to increase, widespread habitat clearing within peri-urban landscapes contributes to significant environmental impacts, including loss of biological diversity. Acoustic recording has recently been identified as an effective tool for monitoring biodiversity and ecosystem health. With increasing pressure from urbanisation, it is critical that spatial and temporal variability in biodiversity is mapped across future development sites to enable sound decision-making and to deliver ecological urban design outcomes. This study used ecoacoustic monitoring to map biodiversity patterns in space and time to identify hot spots and hot moments of biodiversity activity across a peri-urban landscape in south-east Queensland, Australia. In this study, a hot spot represents an increase in acoustic activity at a given spatial location, whereas hot moments represent an increase in acoustic activity at a given time point. An acoustic index (Acoustic Complexity Index, ACI) was used as a proxy for biodiversity and visualised through spatial interpolation. The acoustic data were statistically modelled using Boosted Regression Trees (BRT). This approach enabled predictors related to acoustic complexity to be identified, including vegetation and landform. Results of this study have shown that ecoacoustic data can be used to map hot spots and hot moments of biodiversity and support more informed conservation decision-making in future urban planning frameworks, to avoid or mitigate negative impacts on biodiversity.
format article
author Briana Holgate
Ramona Maggini
Susan Fuller
author_facet Briana Holgate
Ramona Maggini
Susan Fuller
author_sort Briana Holgate
title Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
title_short Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
title_full Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
title_fullStr Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
title_full_unstemmed Mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
title_sort mapping ecoacoustic hot spots and moments of biodiversity to inform conservation and urban planning
publisher Elsevier
publishDate 2021
url https://doaj.org/article/baaf3a0a2e0f4c2fbb93dc5a9f70e917
work_keys_str_mv AT brianaholgate mappingecoacoustichotspotsandmomentsofbiodiversitytoinformconservationandurbanplanning
AT ramonamaggini mappingecoacoustichotspotsandmomentsofbiodiversitytoinformconservationandurbanplanning
AT susanfuller mappingecoacoustichotspotsandmomentsofbiodiversitytoinformconservationandurbanplanning
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