Title: White spruce (Picea gluaca) at Brooks Range treelines in Alaska: colonists, forest advance, reproduction, recruitment, growth, and physiochemical condition, (2019-2022)
This dataset includes measurements and estimated variable values from treelines in Alaka's Brooks Range mountains. It includes locations of colonists above treelines found in 2018, 2019, 2020, 2021, and 2022; forest advance rates from the 1970s to 2010s from repeat imagery; growth rates of leaders of juveniles during 2015-2020 and lateral branch growth of adults in 2019; counts of saplings; temperatures of air at 2 meters (m) and soil at 10 centimeters (cm) from 2019-2022; soil moisture in 2019; estimated snow depth in January 2020, 2021, and 2022; foliar nitrogen and phosphorous; and foliar stable isotope ratios for nitrogen (15N:14N) and carbon (13C:12C). The purpose of the dataset is to show the effect of sea ice retreat on treeline advance.  more » « less
Award ID(s):
1748849 1748773
PAR ID:
10468978
Author(s) / Creator(s):
; ; ; ; ;
Publisher / Repository:
NSF Arctic Data Center
Date Published:
Subject(s) / Keyword(s):
boreal forest advance sea ice retreat treeline white spruce foliar nutrients seedling to sapling recruitment snow soil temperature air temperature soil moisture forest tundra ecotone Arctic Alaska Brooks Range 15N 13C foliar N foliar P cone counts seedling growth rate adult growth rate winter
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Tree-ring widths from 1576 white spruce trees growing at 78 treelines distributed across 19 research sites along a longitudinal gradient in the Brooks Range of northern Alaska. The general purpose of the sampling was to examine west-east variation in white spruce growth responses to changes in climate. Trees were sampled at both high ("alpine") and low elevation treelines ("arctic"). Increment cores were collected in August and September of 2022 as low as possible on each tree (~25 centimeter height). Trees indicated with an "f" were treated with NPK (nitrogen, phosphorus, potassium) fertilizer in June of 2019 and June of 2021. 
    more » « less
  2. This project aims to gain an improved understanding of the boreal forest carbon balance, including the seasonal contributions of carbon flux (μmol m^-2 s^-1 [micromoles per square meter per second]) and the influence of key environmental conditions (e.g., soil moisture, soil temperature, and vegetation community characteristics) that regulate carbon loss. The dataset includes carbon flux data from chamber-based measurements and the Bonanza Creek National Ecological Observatory Network (BONA NEON) eddy covariance tower, which we gap-filled using a random forest machine learning model. It also includes associated measurements of vegetation (aboveground woody biomass, understory biomass, tree age), radiation (photosynthetically active radiation, leaf area index, air temperature), and soil (moisture, temperature, thaw depth, organic layer depth, bulk density %C [percent carbon], %N [percent nitrogen], C:N [carbon-to-nitrogen ratio], 13C [carbon-13], 14C [carbon-14]), including a soil incubation experiment which measured microbial respiration (mg C / kg soil d [milligrams of carbon per kilogram of soil per day]) under different soil conditions. Chamber-based carbon flux data and their associated measurements (soil moisture, soil temperature, PAR [Photosynthetically Active Radiation], thaw depth) are available May - September 2021 and 2022. In situ sensor data (soil temperature, soil moisture, air temperature, PAR) is available June 2021 - August 2022. Vegetation data and soil samples were collected in July 2022. The gap-filled tower flux data is available from 2019 - 2024. A land cover analysis of the tower footprint is available 2021 - 2022. The study area spans the footprint of the eddy covariance tower, and a 300 m (meters) slopeside lowland-to-upland forest within the Caribou-Poker Creek Research Watershed northeast of Fairbanks, Alaska, described below. 
    more » « less
  3. This dataset contains field- and lab-measured characteristics for post-fire mineral soil samples collected in the field for plots in 8 fire scars in Interior Alaska and the Yukon. Data was collected in the summer of 2022. Fire scars sampled included Shovel Creek (2019), Aggie Creek (2015), Hess Creek (2019), Baker (2015), Munson Creek (2021), Isom Creek (2020), 2019MA014 (2019), and 2019BC005 (2019). Lab analyses were conducted in fall of 2022 at NAU. 
    more » « less
  4. Northern hardwood forests have long been assumed to be primarily nitrogen limited, but may often be co‐limited by multiple elements. Nutrient limitation can be inferred through responses of foliar and litter chemistry to nutrient addition over time. We compared community‐level foliar and litter chemistry and resorption efficiency in a long‐term, factorial nitrogen (N) and phosphorus (P) fertilization study across 10 forest stands at three sites in New Hampshire, where N and P were added annually. We measured N, P, calcium (Ca), magnesium (Mg), and potassium (K) in foliage from codominant trees and in fresh litter in 2008–2010 (pretreatment) and again in 2014–2016 and 2021–2022. Foliar N and P concentrations indicated co‐limitation in 2014–2016 based on reduced concentrations of one nutrient following addition of the other, suggesting a dilution effect. In 2021–2022, an interactive effect of N and P addition was observed: foliar P concentrations were lower under N+P addition, consistent with dilution following a greater growth response to N + P than to P addition, which was observed by 2015–2019. Changes in litter N and P concentrations with N and P addition mirrored those in foliar N and P. Resorption efficiency of N and P decreased with addition of these respective nutrients and P resorption efficiency was higher in the N+P treatment than the P treatment. Foliar Ca and litter Ca and K decreased with N addition but increased with P addition. Results indicated N and P co‐limitation and revealed biogeochemical interactions among N, P and base cations. 
    more » « less
  5. This dataset contains lab-quantified (and some field-measured) characteristics for post-fire residual organic soil samples collected in the field for plots in 8 fire scars in Interior Alaska and the Yukon. Data was collected in the summer of 2022. Fire scars sampled included Shovel Creek (2019), Aggie Creek (2015), Hess Creek (2019), Baker (2015), Munson Creek (2021), Isom Creek (2020), 2019MA014 (2019), and 2019BC005 (2019). Lab analyses were conducted in summer and fall of 2022 at UAF and NAU. 
    more » « less