U.S. Geological Survey, Southwest Biological Science Center, 2255 North Gemini Drive, Flagstaff, Arizona, 86001, USA.
Department of Biological Sciences and Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, Arizona, 86011, USA.
Ecol Appl. 2017 Apr;27(3):1010-1023. doi: 10.1002/eap.1505. Epub 2017 Mar 21.
Land management agencies are increasing the use of native plant materials for vegetation treatments to restore ecosystem function and maintain natural ecological integrity. This shift toward the use of natives has highlighted a need to increase the diversity of materials available. A key problem is agreeing on how many, and which, new accessions should be developed. Here we describe new methods that address this problem. Our methods use climate data to calculate a climate similarity index between two points in a defined extent. This index can be used to predict relative performance of available accessions at a target site. In addition, the index can be used in combination with standard cluster analysis algorithms to quantify and maximize climate coverage (mean climate similarity), given a modeled range extent and a specified number of accessions. We demonstrate the utility of this latter feature by applying it to the extents of 11 western North American species with proven or potential use in restoration. First, a species-specific seed transfer map can be readily generated for a species by predicting performance for accessions currently available; this map can be readily updated to accommodate new accessions. Next, the increase in climate coverage achieved by adding successive accessions can be explored, yielding information that managers can use to balance ecological and economic considerations in determining how many accessions to develop. This approach identifies sampling sites, referred to as climate centers, which contribute unique, complementary, climate coverage to accessions on hand, thus providing explicit sampling guidance for both germplasm preservation and research. We examine how these and other features of our approach add to existing methods used to guide plant materials development and use. Finally, we discuss how these new methods provide a framework that could be used to coordinate native plant materials development, evaluation, and use across agencies, regions, and research groups.
土地管理机构正在增加对本地植物材料的使用,以进行植被处理,从而恢复生态系统功能并维持自然生态完整性。这种向使用本地植物的转变凸显了增加可用材料多样性的需求。一个关键问题是就应该开发多少种以及哪些新的品种达成一致意见。本文介绍了解决该问题的新方法。我们的方法使用气候数据在定义的范围内计算两个地点之间的气候相似性指数。该指数可用于预测现有品种在目标地点的相对表现。此外,该指数可与标准聚类分析算法结合使用,以量化和最大化给定模型范围和指定品种数量的气候覆盖范围(平均气候相似性)。我们通过将其应用于在恢复中具有证明或潜在用途的 11 个北美西部物种的范围来证明后者的实用性。首先,通过预测现有品种的表现,可以很容易地为一个物种生成特定物种的种子转移图;可以很容易地更新该图以适应新的品种。接下来,可以探索通过添加连续品种来增加气候覆盖范围的情况,从而提供管理人员在确定开发多少品种时可以用于平衡生态和经济考虑的信息。这种方法确定了采样点,称为气候中心,这些采样点为现有品种提供独特且互补的气候覆盖范围,从而为种质保存和研究提供了明确的采样指导。我们研究了我们的方法的这些和其他功能如何补充用于指导植物材料开发和使用的现有方法。最后,我们讨论了这些新方法如何为协调各地理区域、机构和研究小组的本地植物材料开发、评估和使用提供框架。