Cgsim:一种用于模拟种群遗传学的R包,用于保护和管理应用
Shawna J Zimmerman1, Sara J Oyler-McCance1
1U.S. Geological Survey, Fort Collins Science Center, Fort Collins, Colorado, USA.
Molecular ecology resources
|February 10, 2025
概括
本研究介绍了cgsim,这是一个R包,旨在模拟野生动物管理行动 (如转移和移除) 的遗传影响. 它有助于预测遗传多样性的变化,用于保护规划.
科学领域:
- 人口遗传学 人口遗传学
- 野生动物管理管理
- 保护生物学 保护生物学
背景情况:
- 遗传信息对于野生动物保护和管理干预至关重要.
- 从管理行动 (转移,移除) 预测遗传变化是复杂的,因为诸如漂移和生命历史特征等相互作用因素.
- 现有的基因模拟器可能很难为共同的管理行动进行参数化.
研究的目的:
- 开发cgsim,一个用于模拟野生动物管理干预措施的遗传后果的R包.
- 为了解人口增加,减少和遗传多样性丧失的影响提供一个用户友好的工具.
- 帮助规划和评估小型,减少或孤立种群的保护策略.
主要方法:
- 开发了cgsim,这是一个基于个人,单个人口的模拟模型在R.
- 嵌入功能模拟遗传漂移,人口增加,有针对性的移除和人口灾难.
- 通过将模拟与理论预期和经验案例研究 (Greater Sage-Grouse) 进行比较来验证模型.
主要成果:
- cgsim套件提供了一个灵活的工具,可以在各种管理场景下模拟遗传变化.
- 该模型有效地预测了因漂移和人口干预措施的影响而导致的遗传多样性丧失.
- 验证证实了cgsim对理论预测的准确性及其实际适用性.
结论:
- cgsim简化了对野生动物管理的遗传后果的模拟,解决了当前工具的差距.
- 通过预测遗传结果,R套餐有助于更好地规划和评估保护行动.
- cgsim是野生动物保护和种群遗传学领域的研究人员和从业人员的宝贵资源.
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