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Soundscape Ecology to Assess Environmental and Anthropogenic Controls on Wildlife Behavior: Environmental Data (Northeastern Alaska and Northwestern Canada, 2017-2023)

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DataCite Commons2025-06-03 更新2025-04-16 收录
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https://arcticdata.io/catalog/view/doi:10.18739/A2ZP3W26F
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资源简介:
This project used cutting-edge soundscape observations and analyses to quantify the influence of changing environmental dynamics and increasing anthropogenic activity on the behavior and phenology of migratory caribou, waterfowl, and songbird communities in Arctic-boreal Alaska and northwestern Canada. We used acoustic and camera-trap monitoring methods to evaluate wildlife responses in novel and non-invasive ways across broad spatial ranges during crucial seasons. Our study combined field observations, modeling, and analyses included (1) soundscape measurements, (2) camera-trap observations, (3) automated soundscape analyses, (4) analyses of camera-trap caribou observations, (5) high-resolution modeling of environmental variables, and (6) statistical analyses of wildlife occupancy, diversity, and phenology. This “Environmental Data” dataset package describes and includes the high-resolution environmental variables used in this study.

本项目采用前沿声景(soundscape)观测与分析技术,量化了北极-寒温带阿拉斯加与加拿大西北部区域内,环境动态变化及人为活动加剧对迁徙驯鹿、水禽及鸣禽群落行为与物候(phenology)的影响。本研究采用声学监测与红外相机陷阱(camera-trap)监测方法,以新颖且非侵入式的手段,在关键季节对大范围空间内的野生动物响应情况开展评估。本研究整合了野外观测、模型构建及分析工作,所涵盖的分析内容包括:(1) 声景测量;(2) 红外相机陷阱观测;(3) 自动化声景分析;(4) 红外相机驯鹿观测数据分析;(5) 环境变量高分辨率模拟;(6) 野生动物生境占用率、多样性与物候的统计分析。本"Environmental Data"数据集套件对本研究中使用的高分辨率环境变量进行了说明并提供了对应数据。
提供机构:
NSF Arctic Data Center
创建时间:
2024-12-18
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