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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2021
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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) |
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DOAJ |
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Ecoacoustics Acoustic complexity index Spatial interpolation Biodiversity Conservation planning Urbanisation Ecology QH540-549.5 |
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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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1718405745415815168 |