2022
DOI: 10.1002/ecs2.4175
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Increasing tree density accelerates stand‐level nitrogen cycling at the taiga–tundra ecotone in northeastern Siberia

Abstract: As climate warms, tree density at the taiga–tundra ecotone (TTE) is expected to increase, which may intensify competition for belowground resources in this nitrogen (N)‐limited environment. To determine the impacts of increased tree density on N cycling and productivity, we examined edaphic properties indicative of soil N availability along with aboveground and belowground tree‐level traits and stand characteristics related to carbon (C) and N cycling across a tree density gradient of monodominant larch (Larix… Show more

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Cited by 5 publications
(1 citation statement)
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References 84 publications
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“…This regeneration pattern generally leads to a single cohort of saplings and relatively even-aged stands (Shorohova et al, 2009), and some research suggests safe sites may play an important role in Larix regeneration after a fire (Shirota et al, 2006). Regeneration of L. cajanderi forests has important implications for future patterns of productivity, albedo, and belowground conditions that effect carbon storage, nutrient cycling, and water cycling across vast regions of the Siberian Arctic (Alexander et al, 2018;Alexander, Mack, Goetz, Loranty, et al, 2012;Hewitt, Alexander, Izbicki, et al, 2022;Hewitt, Alexander, Miller, et al, 2022;Kropp et al, 2019;Loranty et al, 2018;Paulson et al, 2021;Rogers et al, 2015;Walker et al, 2021;Webb et al, 2017).…”
Section: Introductionmentioning
confidence: 99%
“…This regeneration pattern generally leads to a single cohort of saplings and relatively even-aged stands (Shorohova et al, 2009), and some research suggests safe sites may play an important role in Larix regeneration after a fire (Shirota et al, 2006). Regeneration of L. cajanderi forests has important implications for future patterns of productivity, albedo, and belowground conditions that effect carbon storage, nutrient cycling, and water cycling across vast regions of the Siberian Arctic (Alexander et al, 2018;Alexander, Mack, Goetz, Loranty, et al, 2012;Hewitt, Alexander, Izbicki, et al, 2022;Hewitt, Alexander, Miller, et al, 2022;Kropp et al, 2019;Loranty et al, 2018;Paulson et al, 2021;Rogers et al, 2015;Walker et al, 2021;Webb et al, 2017).…”
Section: Introductionmentioning
confidence: 99%