| NSF Org: |
DEB Division Of Environmental Biology |
| Recipient: |
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| Initial Amendment Date: | September 9, 2016 |
| Latest Amendment Date: | January 8, 2021 |
| Award Number: | 1617075 |
| Award Instrument: | Standard Grant |
| Program Manager: |
Betsy Von Holle
mvonholl@nsf.gov (703)292-4974 DEB Division Of Environmental Biology BIO Direct For Biological Sciences |
| Start Date: | September 15, 2016 |
| End Date: | February 28, 2022 (Estimated) |
| Total Intended Award Amount: | $879,251.00 |
| Total Awarded Amount to Date: | $879,251.00 |
| Funds Obligated to Date: |
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| History of Investigator: |
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| Recipient Sponsored Research Office: |
1033 MASSACHUSETTS AVE STE 3 CAMBRIDGE MA US 02138-5366 (617)495-5501 |
| Sponsor Congressional District: |
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| Primary Place of Performance: |
Harvard Forest, 324 N Main St Petersham MA US 01366-9504 |
| 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): |
DYN COUPLED NATURAL-HUMAN, Cross-BIO Activities |
| 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): | 47.074 |
ABSTRACT
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Climate change and forest insects have significant impacts on forest ecosystems and these factors also strongly influence land-use decision-making, with indirect forest impacts at least as significant as the direct impacts. A scientific frontier in sustainable forest management, is developing a better understanding of these processes and drivers of land change, especially identification of factors that can trigger major land-use shifts. This project will address this challenge using a computer simulation model of how changing land-use decisions and forest insect outbreaks affect each other. The simulation will be set within the context of a changing climate and emerging energy markets for woody biomass. The study region will be New England, which is densely populated, highly forested, and has damaging forest insect pests. The research will use interviews and a survey to study land owners and institutional land managers as a basis for a computer simulation of land use decision making that will be linked to a simulation of forest processes, including insect dynamics. The interacting models will be examined for alternative outcomes in the production of ecosystem services. The outputs from these models will be integrated into a portfolio of decision support tools designed to help landowners make informed land-use decisions.
The research will examine how climate change and insect infestations affect land-use, and it will quantify the individual, aggregate, and interactive impacts of these processes on forest landscapes. The interacting influences of emerging woody biomass energy markets, insect infestations, and climate change on forest land-use decisions will be addressed. The study will examine (1) whether and how climate change and insect dynamics are shifting land-use regimes in New England by altering human decision-making; (2) how these alterations in human decisions may affect forest ecosystems and the flow of select ecosystem services; and (3) how, in turn, these ecosystem changes affect landowners. To achieve these goals, the researchers will employ a three-faceted approach: (1) social science data collection including surveys, and targeted structured interviews to understand how private landowners in New England perceive climate change and insect and how these perceptions are influencing their land us; (2) agent-based simulations; and (3) regional-scale forest simulations that quantify changes in forest structure, carbon, and species composition. The coupling between the agent-based model representing the human system and the forest simulation representing the natural system will be dynamic in order to capture the specific patterns that emerge from the complex feedbacks between the two. In this framework, the macroscopic properties of complex systems - i.e., land-use regimes - emerge from lower-level interactions among agents. The research also includes a comparative assessment of the effectiveness of the broader impact strategy.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
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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.
Forest insects have significant direct impacts on forest ecosystems; they are also generating new risks, uncertainties, and opportunities for forest landowners. The objectives of this project were to understand: (1) whether and how invasive insects are shifting land-use regimes in New England by altering human decision-making, and (2) how these changes to human decisions may affect regional forest ecosystems and ecosystem services.
Our first step was surveying forest landowners in the northeast to ask them how they would respond to a series of hypothetical insect infestation scenarios on their land. Each respondent was presented with four scenarios based on differing insect attributes and asked if they (or someone they hired) would harvest trees targeted by the insect and how certain they were of their response for each scenario. Eighty-four percent of respondents indicated they would consider harvesting for at least one of the four scenarios presented, and 67% of respondents were certain of their intent. Harvest intention increased with greater insect-related tree mortality. Landowners with larger holdings, who had previously harvested forest products, and live on their forestland had greater intentions to harvest in response to insects.
Next, to understand how landowners? response to insects might impact the region?s forests, we created a typology of owner responses then developed a map of the landowner types. To do this, we first grouped land owners based on patterns of survey responses and compared and contrasted each group with respect to survey-reported age, education, income, and other individual- or household-level demographics. We then developed a statistical model that predicts group membership as a function of geographic features, allowing us to map landowner group probabilities across the landscape.
We then used this map of landowner types along with regional forest inventory data to predict the harvest response to the emerald ash borer, a new rapidly spreading invasive insect in the region. Our analysis suggests that 25% of the woodland parcels in the Connecticut Watershed may intend to harvest in response to emerald ash borer. If the emerald ash borer continues to spread at its current rate within the region, and therefore the associated management response occurs in the next decade, this could result in an increase in harvest frequencies, from 2.6% per year to 3.7% per year, through to approximately 2030.
Simultaneously, we examined how the emerald ash borer affected harvesting in the MidWest, where the insect has been present for much longer. We investigated the influence of the highly impactful emerald ash borer on the annual probability of harvest, the intensity of harvest, and the diameter of harvested trees, for both ash and non-ash species on private land. We found that emerald ash borer detection had a negative impact on annual harvest probability, and a positive impact on harvest intensity, resulting in a net increase in harvested biomass. Furthermore, our estimates suggest that emerald ash borer detection will influence private landowners to harvest greater quantities of ash, relative to non-ash species. We also found that harvested trees in emerald ash borer-infested areas had smaller diameters, on average, compared to those unaffected by emerald ash borer.
Our research has helped forest policy makers and managers. We created guides for extension agents to help inform land owners about how insects might affect harvest regimes. This research was also an important part of undergraduate and graduate education. Two undergraduates (one at Hunter College and one at University of Massachusetts) wrote their senior thesis using data and models from the project. Also, one PhD student at Duke conducted much of the research as part of his disertation.
Last Modified: 04/19/2022
Modified by: Jonathan R Thompson
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