(Table 3) Leaf area and leaf nitrogen for deciduous, evergreen, forb and graminoid species at Barrow, Svalbard and Zackenberg


Autoria(s): Street, Lorna E; Shaver, Gauis R; Rastetter, Edward B; van Wijk, Mark T; Kaye, Brooke A; Williams, Mathew
Cobertura

MEDIAN LATITUDE: 74.891020 * MEDIAN LONGITUDE: -53.069833 * SOUTH-BOUND LATITUDE: 71.300000 * WEST-BOUND LONGITUDE: -156.667000 * NORTH-BOUND LATITUDE: 78.900000 * EAST-BOUND LONGITUDE: 18.010000 * MINIMUM ELEVATION: 7.0 m * MAXIMUM ELEVATION: 7.0 m

Data(s)

05/11/2012

Resumo

Arctic vegetation is characterized by high spatial variability in plant functional type (PFT) composition and gross primary productivity (P). Despite this variability, the two main drivers of P in sub-Arctic tundra are leaf area index (LT) and total foliar nitrogen (NT). LT and NT have been shown to be tightly coupled across PFTs in sub-Arctic tundra vegetation, which simplifies up-scaling by allowing quantification of the main drivers of P from remotely sensed LT. Our objective was to test the LT-NT relationship across multiple Arctic latitudes and to assess LT as a predictor of P for the pan-Arctic. Including PFT-specific parameters in models of LT-NT coupling provided only incremental improvements in model fit, but significant improvements were gained from including site-specific parameters. The degree of curvature in the LT-NT relationship, controlled by a fitted canopy nitrogen extinction co-efficient, was negatively related to average levels of diffuse radiation at a site. This is consistent with theoretical predictions of more uniform vertical canopy N distributions under diffuse light conditions. Higher latitude sites had higher average leaf N content by mass (NM), and we show for the first time that LT-NT coupling is achieved across latitudes via canopy-scale trade-offs between NM and leaf mass per unit leaf area (LM). Site-specific parameters provided small but significant improvements in models of P based on LT and moss cover. Our results suggest that differences in LT-NT coupling between sites could be used to improve pan-Arctic models of P and we provide unique evidence that prevailing radiation conditions can significantly affect N allocation over regional scales.

Formato

text/tab-separated-values, 300 data points

Identificador

https://doi.pangaea.de/10.1594/PANGAEA.837943

doi:10.1594/PANGAEA.837943

Idioma(s)

en

Publicador

PANGAEA

Direitos

CC-BY: Creative Commons Attribution 3.0 Unported

Access constraints: unrestricted

Fonte

Supplement to: Street, Lorna E; Shaver, Gauis R; Rastetter, Edward B; van Wijk, Mark T; Kaye, Brooke A; Williams, Mathew (2012): Incident radiation and the allocation of nitrogen within Arctic plant canopies: implications for predicting gross primary productivity. Global Change Biology, 18(9), 2838-2852, doi:10.1111/j.1365-2486.2012.02754.x

Palavras-Chave #Area/locality; Barrow_plain; Barrow, Alaska, USA; Biological sample; BIOS; International Polar Year (2007-2008); IPY; Latitude of event; Leaf area, specific, per mass dry weight; Longitude of event; MULT; Multiple investigations; Nitrogen, organic; Nitrogen, standard deviation; Nitrogen per area; Sample amount; Species; Standard deviation; Svalbard; Vegetation type; ZAC; Zackenberg; Zackenberg, Northeast Greenland
Tipo

Dataset