Soundscape mapping for spatial-temporal estimate on bird activities in urban forests

Hao, Zezhou; Wang, Cheng; Sun, Zhongchang; Bosch, Cecil Konijnendijk van den; Zhao, Dexian; Sun, Baoqiang; Xu, Xingqian; Bian, Qi; Bai, Zitong; Wei, Kaiyue; Zhao, Yilin; Pei, Nancai

doi:10.1016/j.ufug.2020.126822

Cited by 31 publications

(20 citation statements)

References 57 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…In Figure 9, the average shape index (SHAPE) over 24 h was shown to rise rapidly at dawn chorus to reach the peak of the day, falling rapidly and remaining steady until dusk, when the chorus rose rapidly again, and then fluctuated and fell until the morning. The daily pattern of SHAPE is consistent with previous studies of other acoustic indices [27,31,102,103], thus reflecting a daily activity pattern and highlighting distinct dawn and dusk bird choruses. However, compared to other indices that only focus on sound intensity, SHAPE provides a new perspective on patterns of complexity of bird songs: songs of the dawn and dusk choruses tended to be more complex and elaborate than daytime songs.…”

Section: Discussionsupporting

confidence: 88%

“…In line with this Recordings were obtained using Zoom H5 acoustic sensors (Zoom Inc., Tokyo, Japan, System 2.40) with XYH-5 X/Y microphones. Zoom H5 is a commercial digital recording device that has good sound reliability and has been successfully used in other soundscape ecology research [27,58]. Parameters of sensors were set as follows: the sampling rate was 44,100 Hz, bit depth 16 bits, and recording channels two (stereo).…”

Section: Methodsmentioning

confidence: 99%

“…The RF algorithm aggregates many decision trees and combines the results of multiple predictions, while ensuring that the ensemble model makes fair use of all potentially predictive variables and prevents overfitting [90]. In addition, RF accommodates multivariate collinearity among predictors, which is convenient for calculating the nonlinear effects of variables [27]. We used a bootstrapping cross-validation method to select the model structure with the lowest median of mean squared error (MSE) and highest R 2 between tested data and predicted values [12].…”

Section: Modellingmentioning

confidence: 99%

“…To address the challenges posed by massive data and manual analysis, increasing numbers of studies have been conducted on individual species, and there seems to be a rising interest in the ecological processes of biomes [23,24]. It has been well established that monitoring community acoustic dynamics is key to understanding the changes and drivers of ecosystem biodiversity within the framework of soundscape ecology [25][26][27][28]. The burgeoning development of this framework has stimulated research interest in ecological applications of acoustic indices, which have been intensively proposed and tested [29][30][31][32][33][34].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis

Zhao

Yan

Jin

et al. 2022

Forests

Self Cite

View full text Add to dashboard Cite

In the context of rapid urbanization, urban foresters are actively seeking management monitoring programs that address the challenges of urban biodiversity loss. Passive acoustic monitoring (PAM) has attracted attention because it allows for the collection of data passively, objectively, and continuously across large areas and for extended periods. However, it continues to be a difficult subject due to the massive amount of information that audio recordings contain. Most existing automated analysis methods have limitations in their application in urban areas, with unclear ecological relevance and efficacy. To better support urban forest biodiversity monitoring, we present a novel methodology for automatically extracting bird vocalizations from spectrograms of field audio recordings, integrating object-based classification. We applied this approach to acoustic data from an urban forest in Beijing and achieved an accuracy of 93.55% (±4.78%) in vocalization recognition while requiring less than ⅛ of the time needed for traditional inspection. The difference in efficiency would become more significant as the data size increases because object-based classification allows for batch processing of spectrograms. Using the extracted vocalizations, a series of acoustic and morphological features of bird-vocalization syllables (syllable feature metrics, SFMs) could be calculated to better quantify acoustic events and describe the soundscape. A significant correlation between the SFMs and biodiversity indices was found, with 57% of the variance in species richness, 41% in Shannon’s diversity index and 38% in Simpson’s diversity index being explained by SFMs. Therefore, our proposed method provides an effective complementary tool to existing automated methods for long-term urban forest biodiversity monitoring and conservation.

show abstract

Section: Discussionsupporting

confidence: 88%

Section: Methodsmentioning

confidence: 99%

Section: Modellingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis

Zhao

Yan

Jin

et al. 2022

Forests

Self Cite

View full text Add to dashboard Cite

show abstract

“…Many researchers have ascribed the health benefits of urban forests for the human body to several biological mechanisms. For example, the biological sound effects created by various spatial structures [ 9 ] in urban forests have been positively correlated with pleasure perception [ 10 ]. The differential performance of the characteristic combination of elements in the forest is reflected in the restoration potential [ 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

An Empirical Study of the Restoration Potential of Urban Deciduous Forest Space to Youth

Dong

Luo

et al. 2022

IJERPH

View full text Add to dashboard Cite

Urban deciduous forests are an important ecological resource and seasonal landscape in the urban environment. However, in the abundant literature on how urban green space promotes human health and well-being, research on urban seasonal deciduous forests is limited. This study aimed to investigate the physiological and psychological recovery potential provided of urban deciduous forest space for youths and the spatial preferences of youths regarding such spaces. We recruited 120 participants to study the restorative potential of two typical urban deciduous forest landscape spaces (experimental groups) and one urban road environment (control group). The results showed that after 15 min of observation, the blood pressure (especially the diastolic blood pressure (p < 0.01)) and pulse of the deciduous forest trail setting (DFTS) group effectively decreased, and the restorative mood significantly increased. Regarding change in emotional parameters, the DFTS group scored higher on “interest” and significantly higher than the other two groups on positive emotion. The correlation results show that density and level are the key factors affecting spatial preferences regarding complex deciduous forests. An increase in density reduces the mood of re-laxation, and an increase in level decreases fatigue and interest. We suggest (1) constructing foot-paths in urban deciduous forests to reduce their spatial density as to improve the relaxation effect and (2) increasing landscape diversity according to the forest space to facilitate user participation and interest. This study provides a scientific basis for the environmental restoration of deciduous landscapes and for urban forestry management decision-makers based on space type construction.

show abstract

How the landscape pattern and landscape elements affect the source-based soundscape diversity

Fu,

Huang,

Ran

et al. 2024

Urban Ecosyst

View full text Add to dashboard Cite

Soundscape mapping for spatial-temporal estimate on bird activities in urban forests

Cited by 31 publications

References 57 publications

Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis

Diversity Monitoring of Coexisting Birds in Urban Forests by Integrating Spectrograms and Object-Based Image Analysis

An Empirical Study of the Restoration Potential of Urban Deciduous Forest Space to Youth

How the landscape pattern and landscape elements affect the source-based soundscape diversity

Contact Info

Product

Resources

About