Supporting data for assessing impacts of satellite GPS transmitters on survival, nesting propensity, and nest success of greater sage-grouse

Telemetry technology and data are commonly used to study behavior and demography of wildlife. Satellite-based, global positioning system (GPS) telemetry allows researchers to remotely collect a high volume of fine-resolution animal location data but may also come with hidden costs. For example, recent studies suggested GPS transmitters attached via backpacks may reduce survival of greater sage-grouse (Centrocercus urophasianus) relative to very high frequency (VHF) telemetry transmitters attached via collars. While some evidence suggests GPS backpacks can reduce survival, no studies examined their effects on sage-grouse breeding behavior and success. We compared survival, breeding behavior, and nest success for sage-grouse hens marked with either VHF collars or GPS backpack transmitters in central Idaho, USA. GPS backpacks reduced spring-summer survival relative to VHF collars, yet GPS backpacks did not consistently affect nest success or the likelihood or timing of nest initiation rela..., , , # Supporting data for assessing impacts of satellite GPS transmitters on survival, nesting propensity, and nest success of greater sage-grouse

The data files contain data used to conduct the following analyses: 1) multi-state modeling of daily mortality probabilities for hen sage-grouse in program MARK (MultiState.inp), 2) nest survival modeling to estimate daily nest survival probabilities for greater sage grouse in program MARK (NestSurvival.inp), 3) mixed effects logistic regression modeling of nesting propensity for hen sage-grouse (i.e., proportion of females initiating a nest) in program R (nest_propensity.csv), and 4) mixed effects Gaussian regression modeling of timing of nest initiation for hen sage-grouse in program R (NestTiming.R). In addition, analysis scripts, written in R language, are provided for analyses 3 (LogisticReg.R) and 4 (GaussianReg.R) above. These R scripts are self contained and annotated within to explain each piece of code.

## Description of the data an...

遥测技术（Telemetry technology）与数据广泛应用于野生动物行为与种群统计特征的研究。基于卫星的全球定位系统（Global Positioning System, GPS）遥测技术可帮助研究人员远程采集大批量高精度的动物位置数据，但往往伴随隐性成本。例如，近期研究表明，相较于通过项圈搭载的甚高频（Very High Frequency, VHF）遥测发射器，采用背负式装置搭载的GPS发射器可能会降低大艾草松鸡（Centrocercus urophasianus）的存活率。尽管已有证据显示GPS背负式装置会降低存活率，但尚无研究探讨其对艾草松鸡繁殖行为与繁殖成功率的影响。本研究在美国爱达荷州中部开展，对比了佩戴VHF项圈发射器与GPS背负式发射器的艾草松鸡雌鸟的存活率、繁殖行为及巢成功率。结果显示，相较于VHF项圈发射器，GPS背负式装置会降低春夏季存活率，但并未持续影响巢成功率，亦未对筑巢启动的可能性与时间产生一致性影响……# 本数据集为评估卫星GPS发射器对大艾草松鸡存活率、筑巢倾向及巢成功率的影响提供支撑数据

本数据集包含用于开展以下分析的数据：1）使用MARK软件开展艾草松鸡雌鸟日死亡概率多状态建模所需数据（MultiState.inp）；2）使用MARK软件估算大艾草松鸡日巢存活率所需的巢存活建模数据（NestSurvival.inp）；3）使用R语言开展艾草松鸡雌鸟筑巢倾向（即启动筑巢的雌性比例）的混合效应逻辑回归建模所需数据（nest_propensity.csv）；4）使用R语言开展艾草松鸡雌鸟筑巢启动时间的混合效应高斯回归建模所需数据（NestTiming.R）。此外，还为上述分析3与分析4提供了R语言分析脚本（LogisticReg.R与GaussianReg.R），这些脚本具备自包含性，内部附有注释以解释每一段代码的功能。

## 数据说明（原文未完成）