Publication
Title
An optimized fine root sampling methodology balancing accuracy and time investment
Author
Abstract
Aims Tree roots are spatially highly heterogeneous and it thus requires large numbers of samples to detect statistically significant changes in root biomass. The objectives of this study were to understand and quantify the sources of error in the assessment of fine root biomass (<2 mm) during the second year of a high-density Populus plantation. Methods Soil cores were collected in winter (n = 35) and in summer (n = 20), and fine roots were picked by hand for varying lengths of time: 1, 2, 5, 20, 40, and 60 min. The root biomass data were used to identify the best combination of the time spent for root picking and the number of samples collected, that minimizes the overall uncertainty (i.e. the combination of the spatial error due to the incomplete sampling and the temporal error due to the incomplete core processing). Results On average, 25 min was enough time to pick 90 % of the fine root biomass in winter, while in summer only 10 min were needed. In winter fewer samples were needed, but more time for picking was necessary as compared to summer when root biomass was higher. Conclusions Fine root sampling can be optimized by minimizing the uncertainty of the biomass estimates and simultaneously decreasing root sampling time investment.
Language
English
Source (journal)
Plant and soil. - 's-Gravenhage
Publication
's-Gravenhage : 2013
ISSN
0032-079X
Volume/pages
366:1-2(2013), p. 351-361
ISI
000317988600025
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
[E?say:metaLocaldata.cgzprojectinf]
System analysis of a bio-energy plantation: full greenhouse gas balance and energy accounting. (POPFULL)
ICOS Flanders: Ecosystem Infrastructure for Integrated Carbon Observing System.
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 16.11.2012
Last edited 22.09.2017
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