Shryock Daniel F, DeFalco Lesley A, Esque Todd C
U.S. Geological Survey Western Ecological Research Center Boulder City Nevada USA.
Ecol Evol. 2022 Apr 12;12(4):e8805. doi: 10.1002/ece3.8805. eCollection 2022 Apr.
The combination of ecosystem stressors, rapid climate change, and increasing landscape-scale development has necessitated active restoration across large tracts of disturbed habitats in the arid southwestern United States. In this context, programmatic directives such as the National Seed Strategy for Rehabilitation and Restoration have increasingly emphasized improved restoration practices that promote resilient, diverse plant communities, and enhance native seed reserves. While decision-support tools have been implemented to support genetic diversity by guiding seed transfer decisions based on patterns in local adaptation, less emphasis has been placed on identifying priority seed mixes composed of native species assemblages. Well-designed seed mixes can provide foundational ecosystem services including resilience to disturbance, resistance to invasive species, plant canopy structure to facilitate natural seedling recruitment, and habitat to support wildlife and pollinator communities. Drawing from a newly developed dataset of species distribution models for priority native plant taxa in the Mojave Desert, we created a novel decision support tool by pairing spatial predictions of species habitat with a database of key species traits including life history, flowering characteristics, pollinator relationships, and propagation methods. This publicly available web application, Mojave Seed Menus, helps restoration practitioners generate customized seed mixes for native plant restoration in the Mojave Desert based on project locations. Our application forms part of an integrated Mojave Desert restoration program designed to help practitioners identify species to include in local seed mixes and nursery stock development while accounting for local adaptation by identifying appropriate seed source locations from key restoration species.
生态系统压力源、快速的气候变化以及景观尺度开发的增加,使得美国西南部干旱地区大片受干扰栖息地的积极恢复成为必要。在此背景下,诸如《国家恢复与修复种子战略》等纲领性指令越来越强调改进恢复措施,以促进具有恢复力、多样化的植物群落,并增加本地种子储备。虽然已经实施了决策支持工具,通过基于本地适应性模式指导种子转移决策来支持遗传多样性,但在确定由本地物种组合构成的优先种子混合物方面所给予的关注较少。精心设计的种子混合物可以提供基础生态系统服务,包括对干扰的恢复力、对入侵物种的抵抗力、有助于自然幼苗招募的植物冠层结构,以及支持野生动物和传粉者群落的栖息地。利用新开发的莫哈韦沙漠优先本地植物分类群物种分布模型数据集,我们通过将物种栖息地的空间预测与包括生活史、开花特征、传粉者关系和繁殖方法等关键物种特征数据库相结合,创建了一种新颖的决策支持工具。这个公开可用的网络应用程序“莫哈韦种子菜单”,可帮助恢复从业者根据项目地点为莫哈韦沙漠的本地植物恢复生成定制的种子混合物。我们的应用程序是莫哈韦沙漠综合恢复计划的一部分,旨在帮助从业者确定本地种子混合物和苗木培育中要包含的物种,同时通过从关键恢复物种中确定合适的种子来源地点来考虑本地适应性。