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Street, Lorna E; Shaver, Gauis R; Rastetter, Edward B; van Wijk, Mark T; Kaye, Brooke A; Williams, Mathew (2012): (Table 3) Leaf area and leaf nitrogen for deciduous, evergreen, forb and graminoid species at Barrow, Svalbard and Zackenberg [dataset]. PANGAEA, https://doi.org/10.1594/PANGAEA.837943, Supplement to: Street, LE et al. (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, https://doi.org/10.1111/j.1365-2486.2012.02754.x

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Abstract:
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.
Coverage:
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
Event(s):
Barrow_plain * Latitude: 71.300000 * Longitude: -156.667000 * Elevation: 7.0 m * Location: Barrow, Alaska, USA * Method/Device: Biological sample (BIOS)
Svalbard * Latitude: 78.900000 * Longitude: 18.010000 * Location: Svalbard * Method/Device: Multiple investigations (MULT)
Zackenberg (ZAC) * Latitude: 74.473060 * Longitude: -20.552500 * Recovery: 3.3 m * Location: Zackenberg, Northeast Greenland * Method/Device: Multiple investigations (MULT)
Comment:
Data extracted in the frame of a joint ICSTI/PANGAEA IPY effort, see http://doi.pangaea.de/10.1594/PANGAEA.150150
Parameter(s):
#NameShort NameUnitPrincipal InvestigatorMethod/DeviceComment
Area/localityAreaStreet, Lorna E
Latitude of eventLatitude
Longitude of eventLongitude
SpeciesSpeciesStreet, Lorna E
Sample amountN#Street, Lorna E
Vegetation typeVegetation typeStreet, Lorna ED = deciduous, E = evergreen, F = forb, G = graminoid
Nitrogen per areaN areag/m2Street, Lorna Eper leaf area
Nitrogen, standard deviationN std dev±Street, Lorna EN/area
Nitrogen, organicN orgmg/kgStreet, Lorna Eper leaf mass
10 Nitrogen, standard deviationN std dev±Street, Lorna EN/mass
11 Leaf area, specific, per mass dry weightLA spec DWmm2/mgStreet, Lorna E
12 Standard deviationStd dev±Street, Lorna Eleaf area
Size:
300 data points

Data

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Area

Latitude

Longitude

Species

N [#]

Vegetation type
(D = deciduous, E = evergreen,...)

N area [g/m2]
(per leaf area)

N std dev [±]
(N/area)

N org [mg/kg]
(per leaf mass)
10 
N std dev [±]
(N/mass)
11 
LA spec DW [mm2/mg]
12 
Std dev [±]
(leaf area)
Barrow71.30-156.67Salix phlebophylla7D1.760.0923300180013.20.3
Barrow71.30-156.67Stellaria species9F1.430.1722400160017.42.2
Barrow71.30-156.67Saxifraga cernua8F0.950.0719400130020.61.0
Barrow71.30-156.67Dupontia fisheri15G2.210.1723100100011.20.8
Barrow71.30-156.67Eriophorum scheuchzeri10G2.510.2330300190012.50.6
Barrow71.30-156.67Other grasses9G1.730.1419300100011.50.6
Svalbard78.9018.01Salix polaris34D1.750.052420080013.90.4
Svalbard78.9018.01Dryas octopetala21E2.680.13202006008.10.8
Svalbard78.9018.01Cassiope tetragona6E2.160.201980012004.60.2
Svalbard78.9018.01Polygonum viviparum35F2.060.073080030015.50.5
Svalbard78.9018.01Other forbs20F1.880.2024900110015.11.3
Svalbard78.9018.01Equisetum species30P3.140.182840013009.50.5
Svalbard78.9018.01Carex species9G1.900.1719300130010.60.9
Svalbard78.9018.01Dupontia fisheri5G2.090.201610013007.80.2
Svalbard78.9018.01Other graminoids32G2.320.10216006009.70.3
Zackenberg74.47-20.55Salix arctica58D2.180.0830900100014.40.6
Zackenberg74.47-20.55Arctostaphylos alpina14D2.870.2031100200011.10.6
Zackenberg74.47-20.55Vaccinium uliginosum14D1.440.0524600130016.21.5
Zackenberg74.47-20.55Dryas species23E2.120.09160007008.00.5
Zackenberg74.47-20.55Cassiope tetragona22E2.150.19232006005.80.4
Zackenberg74.47-20.55Polygonum viviparum37F4.011.0938300100015.91.3
Zackenberg74.47-20.55Stellaria species16F2.150.5727000150017.61.9
Zackenberg74.47-20.55Pedicularis species8F2.400.2336200370016.12.5
Zackenberg74.47-20.55Equisetum species12P2.620.1027300190010.40.5
Zackenberg74.47-20.55Carex species8G2.170.2224900190011.80.8
Zackenberg74.47-20.55Dupontia species6G2.450.212130027008.60.7
Zackenberg74.47-20.55Eriophorum species6G2.470.1225900160010.70.9
Zackenberg74.47-20.55Other graminoids28G4.472.0324900140011.11.1
Zackenberg74.47-20.55Other grasses18G5.071.692860016008.20.9
Zackenberg74.47-20.55Other sedges5G2.250.2624900210011.51.2