Quantifying the Soundscape: How filters change acoustic indices

Ecological Indicators, Journal Year: 2023, Volume and Issue: 148, P. 110061 - 110061

Published: March 6, 2023

Monitoring biodiversity can be time consuming and costly. Automated recording units (ARUs) have rapidly emerged as an efficient cost-effective tool for measuring biodiversity. Acoustic indices are one output from recordings ARUs that quantified to serve ecological indicator However, there is a lack of guidance on what acoustic filters apply these when. To address this gap, we collected data study locations spanning temperate tropical forests, agricultural grasslands croplands, peri-urban development. We applied 80, 500, 1000, 2000 Hz when calculating the different indices. In addition, considered effect landscape context, road noise, season, elevation seven most commonly used with frequency filters. found two indices, Diversity Index (ADI) Evenness (AEI), were sensitive filtering, changing significantly between 80 1000 filter across covariates. Complexity (ACI), however, remained consistent These results suggest using should cognizant context location season period ADI AEI. ACI more generously since it not filtering. effective biodiversity, but ensure proper reporting ability compare studies, guidelines appropriate filtering developed.

Language: Английский

---

Land-use intensity and landscape structure drive the acoustic composition of grasslands

Agriculture Ecosystems & Environment, Journal Year: 2022, Volume and Issue: 328, P. 107845 - 107845

Published: Jan. 5, 2022

Language: Английский

---

Monitoring Grassland Bird Communities with Acoustic Indices

Birds, Journal Year: 2025, Volume and Issue: 6(1), P. 11 - 11

Published: Feb. 11, 2025

Several researchers have tried to find relationships between acoustic indices and vocal animal communities use as a passive monitoring method, human-derived surveys are expensive, time-consuming, suffer from observer bias. However, supplanting manual with is daunting task, considering effective for biological need differentiate biologically relevant sounds the broader soundscape, including anthropophony geophony. The objective of our study was test how well can be applied avian community within temperate grassland ecosystem in North America. We collected data calculated six commonly used recordings an intact lowland tallgrass prairie Central Platte River Valley Nebraska throughout breeding seasons 2019–2021. Singular had only weak correlations all metrics. multivariate models multiple showed potential bird abundance when considered. Fragmented remnants likely experience significant that needs accounted populations. Additionally, incorporating several may provide more accurate prediction biophony than individual indices.

Language: Английский

---

Noise Was Obviously Reduced by Both Leaf Texture and Surface Roughness Based on Leaf Scale

Plants, Journal Year: 2025, Volume and Issue: 14(9), P. 1363 - 1363

Published: April 30, 2025

(1) Woody plant species selection for urban forests is one of the key factors in reducing traffic noise areas, and ability sound wave attenuation by leaves foundations selection. However, less references regarding relationships between leaf morphological traits reduction have been made, especially texture (LT), surface roughness (LSR), reduction. (2) Eighteen arbors shrubs were selected based on characteristics, relative was measured using white sources a self-designed device quiet laboratory at night. Then, changes with LT LSR analyzed. (3) The significantly affected LT, LSR, their interaction (p < 0.05). coriaceous usually more efficient than chartaceous leaf, had an additive effect effects mainly influenced through physical blocking interference. (4) findings demonstrate that are best candidates selecting highly woody plants establishing improving noise-reduction-oriented forests.

Language: Английский

---

Disentangling LiDAR Contribution in Modelling Species–Habitat Structure Relationships in Terrestrial Ecosystems Worldwide. A Systematic Review and Future Directions

Remote Sensing, Journal Year: 2021, Volume and Issue: 13(17), P. 3447 - 3447

Published: Aug. 30, 2021

Global biodiversity is threatened by unprecedented and increasing anthropogenic pressures, including habitat loss fragmentation. LiDAR can become a decisive technology providing accurate information about the linkages between ecosystem structure. Here, we review current use of metrics in ecological studies regarding birds, mammals, reptiles, amphibians, invertebrates, bryophytes, lichens, fungi (BLF). We quantify types research (ecosystem sources) describe platforms data that are currently available. also categorize harmonize into five morphological traits (canopy cover, height vertical distribution, understory shrubland, topographic traits) their effectiveness across taxonomic groups ecosystems. The literature returned 173 papers met our criteria. Europe North America held most studies, birds were studied group, whereas temperate forest was far represented ecosystem. Globally, canopy used trait, especially ecosystems, cover terrain topography performed better those ecosystems where they mapped. Understory structure shrubland together with showed high for less such as BLF invertebrates open landscapes. Our results show how has greatly contributed to mapping, organisms poorly until recently, BLF. Finally, discuss forthcoming opportunities mapping different combination spectral information. advocate (i) integration spaceborne already available airborne (airplane, drones) terrestrial technology, (ii) coupling it multispectral/hyperspectral information, which will allow exploration analyses new species

Language: Английский

---

Soundscape dynamics of a cold protected forest: dominance of aircraft noise

Landscape Ecology, Journal Year: 2022, Volume and Issue: 37(2), P. 567 - 582

Published: Jan. 8, 2022

Language: Английский

---

Assessing the effect of human activities on biophony in urban forests using an automated acoustic scene classification model

Ecological Indicators, Journal Year: 2022, Volume and Issue: 144, P. 109437 - 109437

Published: Sept. 15, 2022

Monitoring biodiversity and assessing the impact of human activities using acoustics is a promising area in field urban ecology. Previous studies on are often limited by data continuity survey scope, making it difficult to answer questions about relationships between bird population dynamics environmental factors. To some extent, big methods such as continuous acoustic monitoring have bridged this gap provided new research paths address problem. In study, we proposed machine learning (ML) method that uses convolutional neural networks (CNN) target sound ratios (TSAR) quantify dominance seven types scenes. Acoustic was recorded at nine sites three forests Guangzhou, China. Using site-related data, trained network identified soundscape components with an overall F1 score 0.97, precision 0.96, recall 0.97. Spatial patterns scenes were examined understand effective working radius equipment impacts differing land use composition soundscapes. This study indicates significant interactions acoustics, demonstrates vocal organisms respond changes primarily their frequencies, proposes novel framework for utilizing monitor biodiversity. Going forth, these analyses help promote conservation sustainability development.

Language: Английский

---

The relationship between the Acoustic Complexity Index and avian species richness and diversity: a review

Bioacoustics, Journal Year: 2021, Volume and Issue: 31(5), P. 614 - 627

Published: Dec. 21, 2021

Technologies to monitor species are constantly evolving including the use of acoustic recordings determine presence, activity patterns and population dynamics. The Acoustic Complexity Index (ACI) aims ecologically relevant changes in soundscape by measuring variability within biotic sounds whilst remaining insensitive anthrophony. Previous findings relating this index its correlations with avian richness diversity, environmental anthropogenic factors were amalgamated review guide future monitoring technique. A total 25 papers returned following a literature search June 2020 targeting studies which these relationships analysed. Current shows inconclusive between ACI diversity. Also, those analysing index, provided contrasting results due lack replication studies. implementation standardised approach towards data collection should lead more compelling conclusions. Relationships environment be evaluated on an individual site basis influence composition has environment. Further study is required relationship factors, assemblages.

Language: Английский

---

Research on spatiotemporal variation characteristics of soundscapes in a newly established suburban forest park

Urban forestry & urban greening, Journal Year: 2022, Volume and Issue: 78, P. 127766 - 127766

Published: Oct. 25, 2022

Language: Английский

---

Mitigation and management plans should consider all anthropogenic disturbances to fauna

Global Ecology and Conservation, Journal Year: 2021, Volume and Issue: 26, P. e01500 - e01500

Published: Feb. 21, 2021

The direct impacts of anthropogenic habitat loss on fauna have attracted considerable global research focus. However, it is not only these overt human activities that are contributing to the biodiversity crisis. Other disturbances, such as artificial light, anthropogenically generated noise, dust, vibrations, and physical visual disturbances (e.g., foreign objects Unmanned Aerial Vehicles - UAVs) may be subtle or indirect, yet capable creating significant fauna. These previously been termed 'enigmatic impacts', suggesting they difficult quantify address. While there has little focus towards mitigation remediation in conservation restoration planning, a growing body literature demonstrates can disruptive damaging animal populations at multiple spatial temporal scales. Here, we present review empirical evidence for (excluding loss) result from activities, developments, industries, which deleterious natural ecology species communities. Although vibrations focus, created by clearly causing disruptions adverse Understanding how impact critical returning functional biodiverse communities landscapes environments impacted degraded activities.

Language: Английский

---