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Economics & Policy

Predicting Species Richness in Forest Inventories: Implications for Assessing Ecosystem Service Trade-offs PDF document
PINEMAP Research Summary, November 2012. Authors: Nilesh Timilsina, Wendell Cropper, Jr., Francisco Escobedo, and Joanna Tucker. We developed a model to predict herbaceous richness using stand level and management data in Forest Inventory. Our model explained 57% of the variation in herbaceous richness in coastal plain flatwoods of the southeastern USA. Results were verified using field data and stand age, forest type, time since fire, and time since herbicide-fertilizer application were important predictors of herbaceous species richness.
Determining the Impact of Hurricane Risk on Optimal Forest Management in Southern Pine Plantations PDF document
PINEMAP Research Summary, February 2013. Authors: Andres Susaeta, Douglas Carter, Sun Joseph Chang, and Damian Adams. Catastrophic natural events have a significant influence on forest management decisions, and climate change has the potential to increase risks related to hurricanes and other extreme weather events. In the southern U.S., hurricanes pose a major economic threat; from 1949-2006, total economic property losses due to hurricanes amounted to $127 billion, representing 85% of the nation’s total losses due to hurricanes.
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The Pine Integrated Network: Education, Mitigation, and Adaptation project (PINEMAP) is a Coordinated Agricultural Project funded by the USDA National Institute of Food and Agriculture, Award #2011-68002-30185.