PINEMAP The Pine Integrated Network: Education, Mitigation and Adaptation Project

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PINEMAP The Pine Integrated Network: Education, Mitigation and Adaptation Project Jason G. Vogel University of Florida School of Forest Resources and Conservation Current innovations and opportunities in forest management and productivity Rotura, New Zealand, April 6-8th

Prescribed, Outcome-Based Program 2010 USDA Request for Proposals: Reduce the use of nitrogen fertilizer by 10% and increase carbon sequestration by 15% through resilient agricultural production systems under changing climate by 2030. Wanted: Wheat Corn Pine $20,000,000 5-year projects Funding level of $20 million

PINEMAP leveraged existing University-Industry cooperatives Research Cooperative Host University (year founded) Cooperative Forest Genetics Research Program Cooperative Tree Improvement Program University of Florida (1953) North Carolina State University (1955) Forest Biology Research Cooperative University of Florida (1996) Forest Modeling Research Cooperative Virginia Polytechnic Univ. (1979) Forest Productivity Cooperative Plantation Management Research Cooperative Southern Forest Resource Assessment Consortium Western Gulf Forest Tree Improvement Program Virginia Polytechnic Univ. / NC State Univ. (1969) University of Georgia (1975) North Carolina State University (1994) Texas A&M Univ. / Texas Forest Service (1969)

PINEMAP Project Team Lead Investigators: Tim Martin and Tom Fox 57 Principal Investigators 23 Research and Technical Staff 38 Grad Students 7 Postdocs At 11 land grants universities + USFS

Focused on large landowners and pine plantations 45% 9% Public Private Corporate 55% Private Non Corporate / NIPF Percentage by ownership class

Research Needs of Target Landowners Question: Please rate the importance to your organization of research on the following potential impacts of climate variability and climate change. Important/ Research Very important Changes in forest growth and productivity 92% Changes in timber supply 79% Changes in land values and land use options 70% Changes in forest management risk associated with the intensity, severity, or magnitude of forest insect or disease outbreaks 64% Changes in abundance and ranges of invasive species 49% Changes in forest management risk associated with intensity, severity, or magnitude of forest fires 44% Changes in phenology 41% Changes in forest management risk associated with extreme weather events (heavy winds, lightning, hurricanes, drought) 34%

PINEMAP Approach Synthesize growth and genetics data from existing cooperative research. Incorporate this data into existing models of pine function. Investigate key uncertainties regarding climate and management effects on ecosystem carbon cycling (e.g. water availability x fertilization) Provide this information to professional foresters in a useable format.

Synthesis and experimental networks Tier III site Tier I: ~ 700 sites with previously unshared data. Tier II: 123 sites / 450 plots with newly measured C and nutrient pool data Tier III: Four experimental sites manipulating H 2 O and nutrient availability at intensively monitored sites Baselines + model parameterization and validation

PINEMAP Modeling Stand level modeling Physiological Principles Predicting Growth (3 PG) Growth and Yield (climate responsive) Regional level modeling Water Supply Stress Index (WaSSI) Community Land Model (CLM BGC) Sub regional Timber Supply Model (SRTS)

Decision Support System (DSS) http://pinemapdss.org Primary outlet for PINEMAP tools and resources to help users identify opportunities and mitigate risk associated with changing and variable climate Intended for professional foresters

Steps in developing DSS Climate Data Interface Design What questions do we want to answer? Forestry Models Forestry Research How can we properly answer questions? Slides courtesy of the State Climate Office of NC

Iterative process of DSS development Southeast Climate Consortium multi-feedback loop model: Survey Workshops Prototype Interviews Online User Feedback Professional foresters Extension Research PINEMAP DSS Association Meetings Focus Group Polling Slides courtesy of the State Climate Office of NC

Climate Model Projections Average of 20 Global Climate Models (GCMs) Output generated for a High (8.5) and Low (4.5) Representative CO2 Concentration Pathway (RCP) To 2100 Slide courtesy of Dr. Adrienne Wootten, South Central CSC

Climate-Related DSS Output Precipitation: Summer Precipitation Temperature: Number of Days with Min Temp Below Certain Thresholds Summer Temperature Drought: Summer Dryness Index Ratio of summer growing degree days to summer precipitation

Three Map Layout Multi Model Mean Standard Deviations Below the Multi Model Mean Lowest Likely Outcome Average Result from 20 Downscaled Global Climate Models Standard Deviations Above the Multi Model Mean Highest Likely Outcome Model Spread (95% of all Guidance) Slides courtesy of the State Climate Office of NC

Time Series Plot Summarizes model projections for all future time slices and emissions scenarios at a single location. RCP 4.5 RCP 8.5 Highest Temperature Outcome (right map) Historical (1986 to 2005) 2020 to 2039 2040 to 2059 2060 to 2079 2080 to 2099 Now Lowest Temperature Outcome (left map) End of Century Slides courtesy of the State Climate Office of NC

Summer Temperature

Summer Average Temperature Average summer temperature (1950-2005) 26.9 ºC RCP 4.5, greatest RCP 8.5, greatest temperature change 33.1ºCtemperature change 35.2ºC RCP 4.5, lowest temperature change 28.2ºC RCP 8.5, lowest temperature change 29.4ºC

Summer Dryness Index

Biological/Ecosystem Service Outputs of DSS Seedling Deployment (Dynamic Hardiness Zones) Cold Tolerant Markets for Nurseries Source Ranges for Greater Productivity Net Primary Production (3 Pg) Water yield and Gross Ecosystem Production (WaSSI model) Climate driven changes in yield Currently not connected to management

Deploying seedlings to the north in the future

Early Insights: Carbon Models suggested that CO 2 fertilization and warming in cold regions will increase carbon sequestration by targeted 15% amount out to 2030 (Gonzalez Benecke 2017).

Net Primary Production

Scientific Insights: Nitrogen Nitrogen Cycling Brian Strahm, Tom Fox and Jay Raymond had an ongoing project that suggested slow release N fertilizers could reduce N losses and improve N efficiency (Raymond et al. 2016). Ongoing research is determining whether these fertilizers result in increased productivity.

Scientific Insights: Climate Sensitivity x Management Fertilization decreases NPP sensitivity to reduced moisture (Will et al. 2015; Maggard et al. 2017) Net ecosystem production was also increased by fertilization because of increased NPP and suppressed soil respiration (Bracho et al. in press).

Questions from Dr. Clinton Were project goals achieved (or not)? What is possible in terms of impacts during and after the life of the project?

Achievement of goals Developed accessible tool for assessing plantation productivity potential through datamodel integration. Reduced uncertainty in how climate change might affect plantation productivity. Nitrogen cycling research suggests pathways for reducing N losses.

Ongoing User Activity with DSS Google Analytics Tracking interaction with DSS ~50-75 users per month during 2017

PINEMAP impact Continued support and refinement of DSS and underlying models Incorporation of mechanistic growth modeling into cooperative research USDA funded project https://www.climatehubs.oce.usda.gov/hubs/southeast

PINEMAP Goals To create, synthesize, and disseminate the necessary knowledge to enable southern forest landowners to harness pine plantation productivity to mitigate atmospheric CO 2, to more efficiently utilize nitrogen and other fertilizer inputs, and to adapt their forest management approaches to increase resilience in the face of a changing climate.

Ongoing PINEMAP Outreach USDA funded project https://www.climatehubs.oce.usda.gov/h ubs/southeast Southeast Regional Climate Hub will be central to supporting DSS efforts 30 year outcome goals, 5 year project Data and tools Outreach and educational resources Network coordination Cooperative advisory board consisting of coop directors will advise SERCH on outreach needs of corporate community

Integrative Research Focused on Outcomes Decision Support System development Seed deployment tool development Regional modeling runs: 3 PG, WaSSI, Regional measurements: ecosystem C fluxes; sap flow; soil respiration Genotyping and gene discovery Project Learning Tree educational module development Outreach / Extension / Tech Transfer Corporate Non corporate Integrating modeling with economic analysis