Evaluating the predictors of habitat use and successful reproduction in a model bird species using a large scale automated acoustic array|鸟类生态学数据集|声学监测数据集

The emergence of continental to global scale biodiversity data has led to growing understanding of patterns in species distributions, and the determinants of these distributions, at large spatial scales. However, identifying the specific mechanisms, including demographic processes, and determining species distributions remains difficult, as large-scale data are typically restricted to observations of only species presence. New remote automated approaches for collecting data, such as automated recording units (ARUs), provide a promising avenue towards direct measurement of demographic processes, such as reproduction, that cannot feasibly be measured at scale by traditional survey methods. In this study, we analyze data collected by ARUs from 452 survey points across an approximately 1500 km study region to compare patterns in adult and juvenile distributions in the Great Horned Owl (Bubo virginianus). We specifically examine whether habitat associated with successful reproduction is the ..., Owl surveys:
Nighttime autonomous acoustic recordings were collected from 452 survey locations across 1500 km of the eastern United States. Two Convolutional Neural Networks were developed to classify the adult song and juvenile begging call of the Great Horned Owl (Bubo virginianus). These classifiers were run on the recordings and the highest scoring ten five-second clips occurring on ten separate days at each survey location were extracted. These clips were manually reviewed by a human listener to ensure they contained the relevant owl sounds. Presence/absence was translated into 1/0 detection histories to be used in occupancy models.
Covariates:
GPS coordinates were collected at each survey location (these are not provided to protect landowner identity). National Land Cover Database information was extracted for the amount of forest and agricultural land cover within a 1750 m radius of each survey location for use as occupancy covariates. Tree basal area and < 10 cm DBH stem dens..., , # Evaluating the predictors of habitat use and successful reproduction in a model bird species using a large scale automated acoustic array

[https://doi.org/10.5061/dryad.5hqbzkhcz](https://doi.org/10.5061/dryad.5hqbzkhcz)

## Description of the data and file structure

Data are provided as a single CSV file **owl_data.csv** with columns

* **site_number** (1-452 denoting unique survey locations),
* **survey_number** (1-10 denoting the survey number in a sequence of 10),
* **song_detections** (1 or 0 indicating presence or absence of Great Horned Owl song),
* **beg_detections** (1 or 0 indicating the presence or absence of Great Horned Owl begging calls),
* **f_cover_1750m** (the amount of forest within a 1750 m radius of the survey location, centered and scaled),
* **f_cover_250m** (the amount of forest within a 250 m radius of the survey location, centered and scaled),
* **ag_cover_1750m** (the amount of agricultural land cover within a 1750 m radius of the survey locat...