five

Willow aboveground and belowground traits can predict phytoremediation services

收藏
DataONE2021-06-30 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/sha256:aaeedf1535d3f26d12a063cc8b15c1ee5bc1918afb86e60e35c1f1549a3abb34
下载链接
链接失效反馈
官方服务:
资源简介:
We explored traits-services correlations with plantations of short-rotation coppiced willows (Salix spp.). We conducted a four-year field trial (2016-2019) on a brownfield contaminated by trace elements (As, Ba, Cd, Cu, Mn, Pb, Se, and Zn), using split-plots nested into four blocks. We sampled 16 willow plantations (4.5m X 2.5m) of one or four cultivars from which half was coppiced after three years. For each plot, we measured ten functional traits from aboveground and belowground tissues (LA, SLA, LDMC, RDMC, LNC, RNC, LCC, RCC, SSD, and leaf pH) and six phytoremediation services (Phytoextraction, phytostabilisation, translocation factors, soil decontamination, and bioconcentration factors of total and belowground tissues). To do so, we measured trace elements in plant tissues and soil. We tested the impacts of treatments (willow diversity and coppicing) on the services and traits through linear mixed models and controlled for spatial heterogeneity with soil covariates (OM, texture and initial contamination). We explored the traits-services correlations through a redundancy analysis (RDA).
创建时间:
2023-12-28
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