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Effects of complex soundscapes on the occurrence of <em>Anaxipha pallidula</em> in isolated green spaces in Tokyo

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DataONE2025-10-16 更新2025-10-25 收录
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Urban green spaces experience a mix of natural and anthropogenic noises, which could disrupt the vocal communication of several species. This study investigated how such complex soundscapes affect the occurrence of Anaxipha pallidula, which communicates through calls, focusing on both sound level and quality. A line census was conducted to survey the occurrence of A. pallidula and both acoustic and physical environmental factors in green spaces in the western region of Tokyo, Japan, which is surrounded by urbanized areas. These relationships were analyzed using generalized linear models and model selection based on the Akaike information criterion. Results revealed that sound level (dB) and road traffic noise negatively correlated with the occurrence of A. pallidula, suggesting that the noise caused by urbanization directly and negatively affects the species that communicate through their vocals. The occurrence of the vocal fold of Platypleura kaempferi, which is the native cicada, also..., , # Effects of complex soundscapes on the occurrence of *Anaxipha pallidula* in isolated green spaces in Tokyo Dataset DOI: [10.5061/dryad.44j0zpctp](https://doi.org/10.5061/dryad.44j0zpctp) ## Description of the data and file structure Dataset and R Analysis Code for \"Effects of complex soundscapes on the occurrence of *Anaxipha pallidula* in isolated green spaces in Tokyo\" Associated publication DOI: 10.1002/wlb3.01515 This dataset includes presence/absence data of the focal species Anaxipha pallidula, environmental variables, and additional biological data used in the above publication. All R scripts for reproducing the analyses are provided. Place all files in the same directory and run analysis_code_main.txt in R to reproduce the results. ### Files and variables #### File: alldata.csv **Description:**Â All data set for analysis including data which did not use the paper. ##### Variables * siteName: Local name of the study site * place: Course name * repeat.: Census time * di...,

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2025-10-17
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