遇见数据集

Using filter-based community assembly models to improve restoration outcomes

收藏
DataONE2020-06-24 更新2025-04-19 收录
官方服务:

资源简介:

1. Ecological filter models derived from community assembly theory can inform restoration planning by highlighting management actions most likely to affect community composition. Despite growing interest in these models, many restoration studies solely manipulate a single filter—the biotic filter by altering interspecific competition in studies—while ignoring abiotic and dispersal filters that may also influence restoration success. 2. To examine how manipulating all three filters (biotic, abiotic, dispersal) affected restoration in an annual-type grassland, we seeded native forbs from the same functional group as a target invader to increase biotic resistance to invasion (biotic filter), cut standing biomass and either removed it or returned it to plots as litter to alter light conditions (abiotic filter), and added native forbs at different seeding rates to alter density of establishing native populations (dispersal filter). We measured restoration success by recording native species ...

创建时间:
2025-04-01
二维码
社区交流群
二维码
科研交流群
商业服务