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Supporting data for "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities"

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DataCite Commons2025-03-06 更新2025-04-16 收录
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https://datahub.hku.hk/articles/dataset/Supporting_data_for_Spatiotemporal_variation_in_artificial_and_natural_light_as_drivers_of_change_in_subtropical_bat_communities_/28456465
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Data collected for PhD thesis "Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities".Chapter 2 relates to the classification and identification of bat echolocation calls in Hong Kong, using Gaussian Mixture Models and Random Forest. Data includes parameters related to bat echolocation call structure. Also included is R code explaining the process and methodology.Chapter 3 looks at the diel pattern of bat activity around streetlights compared to unlit locations, to investigate whether streetlights affect the timing of activity and the degree of direct temporal competition between species, and to evaluate the extent to which this might be affected by background light from natural (twilight) and artificial (skyglow) sources. Data included are details of the calls extracted from the recordings and identification of bats based on these calls, as well as details about the recording locations.Chapter 4 compiles Species Distribution Models of bats based on transect surveys and environmental data (light, vegetation, water, habitat and climate) to assess the extent to which artificial light restricts the landscape-scale distribution of bats. Data included here are the calls and identification of bats recorded, and the transect routes followed during data collection.

本数据集源自博士学位论文《人工与自然光照的时空变异对亚热带蝙蝠群落变化的驱动作用》(Spatiotemporal variation in artificial and natural light as drivers of change in subtropical bat communities)所采集的相关数据。 第二章针对香港地区蝙蝠回声定位叫声的分类与识别开展研究,采用高斯混合模型(Gaussian Mixture Models)与随机森林(Random Forest)两种算法。该章节相关数据涵盖蝙蝠回声定位叫声的结构参数,同时附带用于阐释该研究流程与方法的R代码。 第三章对比分析路灯周边与无光照区域内蝙蝠活动的昼夜节律模式,旨在探究路灯是否会影响蝙蝠活动的时间节律、物种间直接时间性竞争的程度,并评估自然(暮光)与人工(天空辉光)背景光照对该效应的影响范围。本章包含的数据包括从录音素材中提取的叫声详情、基于叫声完成的蝙蝠物种鉴定结果,以及录音点位的相关信息。 第四章基于样线调查数据与多类环境数据(光照、植被、水体、栖息地与气候)构建蝙蝠物种分布模型(Species Distribution Models),以评估人工光照对蝙蝠在景观尺度上的分布所产生的限制程度。本章所收录的数据包括实地录制的蝙蝠叫声与对应的物种鉴定结果,以及数据采集阶段所遵循的样线路线详情。
提供机构:
HKU Data Repository
创建时间:
2025-02-22
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