Annual detection of flowering stems of Asclepias meadii (Mead?s milkweed) at the Rockefeller Prairie (KS) 1992-2006.

These data were used in a publication by Moore et al. (in press, as of 2011; citation as follows: Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge and ,Helen M. Alexander. (2011). An adaptive decision framework for the conservation of a threatened plant. Journal of Fish and Wildlife Management. In press.)
The following description is modified from the Moore et al. (2011) abstract: Mead's milkweed (Asclepias meadii), a long-lived perennial herb of tallgrass prairie and glade communities of the central United States, is a species designated as threatened under the U.S. Endangered Species Act. Challenges to its successful management include the facts that much about its life history is unknown, its age at reproductive maturity is very advanced, certain life stages are practically unobservable, its productivity is responsive to unpredictable environmental events, and most of the known populations occur on private lands unprotected by any legal conservation instrument. To aid in its management, Moore et al. developed a prototype population-level state-dependent decision-making framework that explicitly accounts for this uncertainty and for uncertainties related to stochastic environmental effects and vital rates. To parameterize the decision model, they used estimates found in the literature, and analyzed data from a long-term monitoring program where fates of individual plants were observed through time (the data archived here).

本数据集已应用于Moore等人于2011年待刊的研究成果，完整引用信息如下：Clinton T. Moore, Christopher J. Fonnesbeck, Katriona Shea, Kristopher J. Lah, Paul M. McKenzie, Lianne C. Ball, Michael C. Runge与Helen M. Alexander. (2011). 面向受威胁植物保护的适应性决策框架. 《鱼类与野生动物管理期刊（Journal of Fish and Wildlife Management）》. 待刊.

以下描述改编自Moore等人2011年的论文摘要：米德乳草（Asclepias meadii）是一种生长于美国中部高草草原与岩屑坡群落的多年生长寿草本植物，已被美国《濒危物种法案》列为受威胁物种。该物种的保护管理面临诸多挑战：其诸多生活史特征尚不明确，达到生殖成熟的年龄极晚，部分生活史阶段几乎无法观测，其生产力受不可预测的环境事件影响，且多数已知种群分布于未受任何法律保护措施覆盖的私有土地上。为辅助该物种的保护管理，Moore等人开发了一个种群水平的状态依赖型决策框架原型，该框架可明确考量上述不确定性，以及随机环境效应与生命率相关的不确定性。为构建决策模型的参数化体系，研究团队采用了文献中的估算参数，并分析了一项长期监测项目的数据——该项目持续追踪观测了单株植物的存活动态，本数据集即归档了该监测项目的相关数据。