five

Data and R code from: Resource quantity and quality co-limit consumer production in forest streams

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.m63xsj4d3
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset includes estimates of annual secondary production (mg ash-free dry mass/m2/yr) of macroinvertebrate communities (total community=Tot, primary consumers=Prim, and leaf-shredding invertebrates=Shred) in several small forest streams located at the Coweeta Hydrologic Laboratory in North Carolina, USA. Accompanying each estimate of annual secondary production are estimates of mean annual discharge (Q, L/s), soluble reactive phosphorus (SRP, μg/L) and dissolved inorganic nitrogen (DIN, μg/L) concentrations and mean annual leaf litter standing stock (avgLeaf.core, g ash-free dry mass/m2). Additionally estimates of average %N (N) and %P (P) of leaf litter are included for each stream and year of study. These data are from three separate, multi-year projects aimed at assessing the impacts of experimental whole-stream N and P additions on stream communities and ecosystems conducted between 1999-2001, 2003-2004, 2010-2013. Methods This datasets compiles data from three previously published studies of the effects of experimental N and P fertilization in small, forest streams at the Coweeta Hydrologic Laboratory in Macon County, North Carolina, USA. Associated methods can be found in the original papers (citations below). Cross, W. F., J. B. Wallace, A. D. Rosemond, and S. L. Eggert. 2006. Whole-system nutrient enrichment increases secondary production in a detritus-based ecosystem. Ecology 87:1556-1565.  Davis, J. M., A. D. Rosemond, S. L. Eggert, W. F. Cross, and J. B. Wallace. 2010. Long-term nutrient enrichment decouples predator and prey production. PNAS 107:121-126.  Demi, L. M., J. P. Benstead, A. D. Rosemond, and J. C. Maerz. 2018. Litter P content drives consumer production in detritus-based streams spanning an experimental N:P gradient. Ecology 99:347-359.
创建时间:
2025-06-04
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