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

• Main Authors: Street, Lorna E, Shaver, Gauis R, Rastetter, Edward B, van Wijk, Mark T, Kaye, Brooke A, Williams, Mathew
• Format: Dataset
• Language: English
• Published: PANGAEA 2012
• Subjects: Area/locality; Latitude of event; Longitude of event; Species; Sample amount; Vegetation type; Nitrogen per area; Nitrogen, standard deviation; Nitrogen, organic; Leaf area, specific, per mass dry weight; Standard deviation; Biological sample; Multiple investigations; International Polar Year 2007-2008 IPY; Arctic; International Polar Year; IPY; Svalbard; Tundra; Zackenberg
• Online Access: https://dx.doi.org/10.1594/pangaea.837943; https://doi.pangaea.de/10.1594/PANGAEA.837943

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 ... : Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150 ...