论文标题
用于估计人口动态的最佳抽样制度
Optimal Sampling Regimes for Estimating Population Dynamics
论文作者
论文摘要
生态学家有兴趣建模各种生态系统中物种的种群增长。研究人口动态可以帮助环境经理为环境做出更好的决策。传统上，物种的抽样和人群的跟踪已在常规时间频率下记录。但是，由于可用的资源，金钱和时间，抽样可能是一个昂贵的过程。限制抽样使得正确跟踪人口的增长变得具有挑战性。因此，我们提出了一种新的新方法来设计基于与人口增长模型相关的动态的采样制度。这项设计研究最大程度地减少了生态学家在该领域的花费，同时最大程度地提高了数据提供的信息。
Ecologists are interested in modeling the population growth of species in various ecosystems. Studying population dynamics can assist environmental managers in making better decisions for the environment. Traditionally, the sampling of species and tracking of populations have been recorded on a regular time frequency. However, sampling can be an expensive process due to available resources, money and time. Limiting sampling makes it challenging to properly track the growth of a population. Thus, we propose a new and novel approach to designing sampling regimes based on the dynamics associated with population growth models. This design study minimizes the amount of time ecologists spend in the field, while maximizing the information provided by the data.
