Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts
Abstract
Plant-fungal symbioses play critical roles in vegetation dynamics and nutrient cycling, modulating the impacts of global changes on ecosystem functioning. Here, we used forest inventory data consisting of more than 3 million trees to develop a spatially resolved “mycorrhizal tree map” of the contiguous United States. We show that abundances of the two dominant mycorrhizal tree groups—arbuscular mycorrhizal (AM) and ectomycorrhizal trees—are associated primarily with climate. Further, we show that anthropogenic influences, primarily nitrogen (N) deposition and fire suppression, in concert with climate change, have increased AM tree dominance during the past three decades in the eastern United States. Given that most AM-dominated forests in this region are underlain by soils with high N availability, our results suggest that the increasing abundance of AM trees has the potential to induce nutrient acceleration, with critical consequences for forest productivity, ecosystem carbon and nutrient retention, and feedbacks to climate change.
- Authors:
-
- Purdue Univ., West Lafayette, IN (United States)
- US Dept. of Agriculture (USDA)., Knoxville, TN (United States)
- US Dept. of Agriculture (USDA)., St. Paul. MN (United States)
- Indiana Univ., Bloomington, IN (United States)
- Publication Date:
- Research Org.:
- Univ. of California, Los Angeles, CA (United States)
- Sponsoring Org.:
- USDOE Office of Science (SC)
- OSTI Identifier:
- 1612414
- Grant/Contract Number:
- SC0016188
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Science Advances
- Additional Journal Information:
- Journal Volume: 5; Journal Issue: 4; Journal ID: ISSN 2375-2548
- Publisher:
- AAAS
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 54 ENVIRONMENTAL SCIENCES; Science & Technology
Citation Formats
Jo, Insu, Fei, Songlin, Oswalt, Christopher M., Domke, Grant M., and Phillips, Richard P. Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts. United States: N. p., 2019.
Web. doi:10.1126/sciadv.aav6358.
Jo, Insu, Fei, Songlin, Oswalt, Christopher M., Domke, Grant M., & Phillips, Richard P. Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts. United States. https://doi.org/10.1126/sciadv.aav6358
Jo, Insu, Fei, Songlin, Oswalt, Christopher M., Domke, Grant M., and Phillips, Richard P. Wed .
"Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts". United States. https://doi.org/10.1126/sciadv.aav6358. https://www.osti.gov/servlets/purl/1612414.
@article{osti_1612414,
title = {Shifts in dominant tree mycorrhizal associations in response to anthropogenic impacts},
author = {Jo, Insu and Fei, Songlin and Oswalt, Christopher M. and Domke, Grant M. and Phillips, Richard P.},
abstractNote = {Plant-fungal symbioses play critical roles in vegetation dynamics and nutrient cycling, modulating the impacts of global changes on ecosystem functioning. Here, we used forest inventory data consisting of more than 3 million trees to develop a spatially resolved “mycorrhizal tree map” of the contiguous United States. We show that abundances of the two dominant mycorrhizal tree groups—arbuscular mycorrhizal (AM) and ectomycorrhizal trees—are associated primarily with climate. Further, we show that anthropogenic influences, primarily nitrogen (N) deposition and fire suppression, in concert with climate change, have increased AM tree dominance during the past three decades in the eastern United States. Given that most AM-dominated forests in this region are underlain by soils with high N availability, our results suggest that the increasing abundance of AM trees has the potential to induce nutrient acceleration, with critical consequences for forest productivity, ecosystem carbon and nutrient retention, and feedbacks to climate change.},
doi = {10.1126/sciadv.aav6358},
journal = {Science Advances},
number = 4,
volume = 5,
place = {United States},
year = {Wed Apr 10 00:00:00 EDT 2019},
month = {Wed Apr 10 00:00:00 EDT 2019}
}
Web of Science
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