A cross-scale view of N and P limitation using a Bayesian hierarchical model

Cha, YoonKyung; Alameddine, Ibrahim; Qian, Song S.; Stow, Craig A.

doi:10.1002/lno.10375

i

A cross-scale view of N and P limitation using a Bayesian hierarchical model

2016
By Cha, YoonKyung ; Alameddine, Ibrahim ; Qian, Song S. ; ...

Details

Journal Title:

Limnology and Oceanography
Personal Author:

Cha, YoonKyung ; Alameddine, Ibrahim ; Qian, Song S. ; Stow, Craig A.
NOAA Program & Office:

OAR (Oceanic and Atmospheric Research) ; GLERL (Great Lakes Environmental Research Laboratory)
Keywords:

Aquatic Science Oceanography
Source:

Limnology and Oceanography, 61(6), 2276-2285
DOI:

https://doi.org/10.1002/lno.10375
ISSN:

0024-3590
Format:

PDF
Publisher:

Wiley
Document Type:

Journal Article
Rights Information:

Accepted Manuscript
Compliance:

Library
Main Document Checksum:

urn:sha256:8ff4ea6d78c7bfa67a2449a65d407857d1319c69982c5ce5ab1b320c06e2aef0
Download URL:

https://repository.library.noaa.gov/view/noaa/52819/noaa_52819_DS1.pdf
File Type:

[PDF - 3.18 MB ]

ON THIS PAGE

Details

The NOAA IR serves as an archival repository of NOAA-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by NOAA or funded partners. As a repository, the NOAA IR retains documents in their original published format to ensure public access to scientific information.