five

A general approach for quantifying microbial effects on plant competition

收藏
DataONE2022-10-23 更新2025-05-10 收录
下载链接:
https://search.dataone.org/view/sha256:94369c421d06190eeac108677b70e34b652f81d3b31737bea592aec40cf9c47b
下载链接
链接失效反馈
官方服务:
资源简介:
Purpose  A growing perspective in plant ecology highlights the ways that microbial interactions can promote or hinder plant coexistence. Towards this aim, recently-proposed approaches provide ways to empirically quantify how microbes affect the outcome of competition between plants. One such approach experimentally measures competition coefficients by comparing biomass performance of plants growing individually or with competitors, then quantifies microbial effects by comparing with a sterilization treatment. Nonetheless, the complexity of plant-microbe interactions presents general challenges when linking observations of microbial effects to underlying models. Results  We show how the implementation of a density gradient design can help quantify potential nonlinearities and facilitative interactions in plant-soil microbe interactions, which are properties once thought to hinder the quantification of the microbial impact of plant competitive outcome. We provide guidelines for setting up...
创建时间:
2025-05-02
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作