five

Fern leaf nutrients observation at the Luquillo Experimental Forest (LEF)

收藏
DataONE2023-05-15 更新2024-06-08 收录
下载链接:
https://search.dataone.org/view/https://pasta.lternet.edu/package/metadata/eml/knb-lter-luq/187/302251
下载链接
链接失效反馈
官方服务:
资源简介:
Ferns are a common element of the understory of forests yet little is known about the dynamics of leaf production.  The long-term role of an individual fern in the ecosystem understory is a function of the number and size of leaves produced over time and the quality of those leaves.  Selected functional plant traits (see also LUQ186 -Fern nutrients) were measured in order to supplement non-destructive measurements and detect patterns of primary productivity of ferns in the long-term studies at the Luquillo forest where ferns have been included (eg. Fern growth and demography (LUQ75) Canopy Trimming Experiment (LUQ143 and LUQ146) and the Luquillo Forest Dynamics Plot). Among the important characteristics of fern leaves in the forest understory are the area and biomass of leaves needed to calculate specific leaf area (SLA) leaf dry-matter content (LDMC) and leaf shrinkage.  Therefore a large sample of whole leaves and leaf material from several species in the Luquillo Experimental Forest understory was collected weighed and leaf area measured.  The means and regression relationships among these functional traits for species leaf type and leaf size can then be used to estimate leaf production and turnover rates in temporal studies of fern growth. Support for this work was provided by grants BSR-8811902, DEB-9411973, DEB-9705814 , DEB-0080538, DEB-0218039 , DEB-0620910 , DEB-1239764, DEB-1546686, and DEB-1831952 from the National Science Foundation to the University of Puerto Rico as part of the Luquillo Long-Term Ecological Research Program. Additional support provided by the University of Puerto Rico and the International Institute of Tropical Forestry, USDA Forest Service.
创建时间:
2023-05-15
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