
NSF Org: |
EAR Division Of Earth Sciences |
Recipient: |
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Initial Amendment Date: | June 22, 2017 |
Latest Amendment Date: | June 22, 2017 |
Award Number: | 1711986 |
Award Instrument: | Standard Grant |
Program Manager: |
Justin Lawrence
jlawrenc@nsf.gov (703)292-2425 EAR Division Of Earth Sciences GEO Directorate for Geosciences |
Start Date: | July 1, 2017 |
End Date: | June 30, 2022 (Estimated) |
Total Intended Award Amount: | $276,719.00 |
Total Awarded Amount to Date: | $276,719.00 |
Funds Obligated to Date: |
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History of Investigator: |
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Recipient Sponsored Research Office: |
1600 SW 4TH AVE PORTLAND OR US 97201-5508 (503)725-9900 |
Sponsor Congressional District: |
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Primary Place of Performance: |
1600 SW 4th Ave Portland OR US 97207-0751 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): |
PREEVENTS - Prediction of and, Geomorphology & Land-use Dynam |
Primary Program Source: |
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Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.050 |
ABSTRACT
Landslides are important factors in the global carbon cycle as well as a significant risk to human life around the world. This project focuses on better understanding the geophysics of landslides in forested areas, specifically how they move soils and woody debris. Understanding the complex mechanics of these debris flows is essential to determining the relationship between landslides and carbon stocks in forested systems worldwide. By coupling with a regional wind exposure model, this work will also create a new way of visualizing hazard/risk to communities in steep terrain, relevant to many small towns in the US and abroad. Explicit coordination with those communities is planned.
This study will address a fundamental question in disturbance ecology: How much disturbance maximizes carbon on a landscape, and where is that carbon located? This is globally relevant, as disturbances are projected to increase as a result of climate warming in most systems. Second, it will incorporate woody debris into mechanical landslide models, which will fundamentally advance our geological understanding of this process. Extensive fieldwork will be coupled with physics-based numerical modeling to synthesize a full scientific understanding of how disturbances influence the landscape and ecosystem with respect to carbon cycling.
This award is cofunded by the Geomorphology and Land-use Dynamics Program, the Prediction of and Resilience against Extreme Events Program, and the Experimental Program to Stimulate Competitive Research.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
Landslides often occur in mountainous, forested regions, but the two-way interactions between forests and landslides have rarely been measured. Understanding how forests affect the distances landslides travel is important for accurate hazard assessment and for interpreting how landslides shape the landscape over longer periods of time. On the other hand, understanding how landslides affect forests is important for determining how much carbon is sequestered from the atmosphere in vegetation and soils, and how sensitive that amount is to changing climate. This study used intact temperate rainforests in southeast Alaska as a natural laboratory to document the nature of these interactions.
In southeast Alaska, recent landslides travelled about half the distance and covered about one-third the area relative to typical landslides in other regions. This low mobility was likely caused by interactions between logs transported by the landslides and standing trees in the surrounding forests. Logs were often observed to form jams against standing trees, which stopped the landslide from travelling farther downslope. This observation was supported by a simplified computer model in which adding more logs to a landslide reduced its mobility. Analysis of thousands of historic landslides showed that forest age significantly reduced landslide mobility within southeast Alaska, such that landslides in the oldest forests with the largest trees were the least mobile. Broader impacts of these findings were shared in Sitka, Alaska by developing a table-top scale landslide lab activity for middle schoolers through the Sitka Sound Science Center's Scientist-in-the-Schools program and sharing landslide runout maps with city professionals.
Landslides in southeast Alaska also mobilize large amounts of carbon, which is subsequently incorporated into lowland soils, respired back to the atmosphere though decomposition, or exported through river systems to the Pacific Ocean. This project developed a novel computer model to determine whether the net impact of these three main fates is to increase or decrease the amount of carbon in the atmosphere. The modeled net effect of landslides was to systematically remove carbon from the atmosphere, increasing the carbon stored in soils and dead vegetation by 0.5-3%. When roughly scaled to the entire globe, the model suggested that Earth has 18 gigatons more carbon in soils and vegetation than it would in the theoretical absence of landslides, equivalent to about 2 years of present-day carbon emissions from fossil fuel burning. Landslides store more carbon as they occur more often, which is expected to happen with ongoing climate change, so they should act as a small buffer against future increases in atmospheric carbon.
Last Modified: 10/28/2022
Modified by: Adam M Booth
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