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δ15N constraints on long-term nitrogen balances in temperate forests

Overview of attention for article published in Oecologia, May 2011
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Title
δ15N constraints on long-term nitrogen balances in temperate forests
Published in
Oecologia, May 2011
DOI 10.1007/s00442-011-2016-y
Pubmed ID
Authors

Steven S. Perakis, Emily R. Sinkhorn, Jana E. Compton

Abstract

Biogeochemical theory emphasizes nitrogen (N) limitation and the many factors that can restrict N accumulation in temperate forests, yet lacks a working model of conditions that can promote naturally high N accumulation. We used a dynamic simulation model of ecosystem N and δ(15)N to evaluate which combination of N input and loss pathways could produce a range of high ecosystem N contents characteristic of forests in the Oregon Coast Range. Total ecosystem N at nine study sites ranged from 8,788 to 22,667 kg ha(-1) and carbon (C) ranged from 188 to 460 Mg ha(-1), with highest values near the coast. Ecosystem δ(15)N displayed a curvilinear relationship with ecosystem N content, and largely reflected mineral soil, which accounted for 96-98% of total ecosystem N. Model simulations of ecosystem N balances parameterized with field rates of N leaching required long-term average N inputs that exceed atmospheric deposition and asymbiotic and epiphytic N(2)-fixation, and that were consistent with cycles of post-fire N(2)-fixation by early-successional red alder. Soil water δ(15)NO(3)(-) patterns suggested a shift in relative N losses from denitrification to nitrate leaching as N accumulated, and simulations identified nitrate leaching as the primary N loss pathway that constrains maximum N accumulation. Whereas current theory emphasizes constraints on biological N(2)-fixation and disturbance-mediated N losses as factors that limit N accumulation in temperate forests, our results suggest that wildfire can foster substantial long-term N accumulation in ecosystems that are colonized by symbiotic N(2)-fixing vegetation.

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Mendeley readers

The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
Brazil 1 <1%
Argentina 1 <1%
Mexico 1 <1%
Japan 1 <1%
Spain 1 <1%
Unknown 100 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 21%
Researcher 22 20%
Student > Master 18 17%
Student > Doctoral Student 6 6%
Professor > Associate Professor 6 6%
Other 19 17%
Unknown 15 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 31%
Environmental Science 32 29%
Earth and Planetary Sciences 18 17%
Social Sciences 2 2%
Psychology 1 <1%
Other 2 2%
Unknown 20 18%