Abstract
Future forests will be shaped by pervasive change and where, when, and how society manages landscape change. But there is debate about whether active management has the capacity to accelerate adaptation to novel conditions, maintain resilience, and ensure the provision of ecosystem services. Many innovative solutions have been proposed, including facilitated migration, genomic interventions, restoration silviculture, and others. Few of these innovations have been tested at landscape scales because of the difficulties of testing and replication at broad scales and because the full effects may not be known for decades. Landscape forecasting using spatial models has emerged as a powerful tool to test innovative strategies for managing landscape change and to assess how these strategies may interact with climate futures and novel disturbance regimes. Landscape forecasting also provides information about the potential trade-offs and costs before adaptive strategies are implemented. Dr. Scheller will describe the landscape forecasting framework, LANDIS-II, that he has co-developed and deployed over the past 20 years. Using LANDIS-II, he has assessed forest change worldwide and concludes that for any landscape, a range of landscape trajectories are possible and that comprehensive management efforts have the potential to redirect trajectories towards more positive outcomes. However, barriers to managing landscapes for change remain; these include the costs, local cultural identity, and the fear of uncertainty. Nevertheless, processes, tools, and technologies exist for overcoming social and ecological barriers to managing landscapes for change, and continued investment in social and scientific infrastructure holds out hope for maintaining healthy landscapes even as we enter an era of unprecedented change and disruption.
Biography
Dr. Scheller is Professor of Landscape Ecology and the Associate Dean for Research in the College of Natural Resources at North Carolina State University (NCSU). He grew up in Minnesota and received his B.S. from the University of Minnesota and Masters and Doctoral degrees in Forest Ecology from the University of Wisconsin-Madison. His research focuses on how landscapes have changed, how they will change, and why it matters. Anthropogenic change will transform many landscapes in the coming decades, in ways that exceed our imaginations. To understand past and future landscape change, he and his research group studies land use change and landscape history; forest and ecosystem and landscape ecology; anthropogenic drivers of change, particularly climate change; and policy and management. These diverse disciplines inform advanced forecasting tools developed by his lab, enabling local and regional decision-makers to assess the potential to manage for landscape change.
Summary:
Focus: modeling changing forests
Disturbance change: wildfire, hurricane, pests, …
Land use change: development
Climate change
Market forces: forest product demand
Human adaptation to above
We must manage forests with climate change in mind
Key ecosystems and habitats
Natural capital
Environmental justice
Forests change slowly: decisions now will have impact decades in the future
Strategies:
Persistence: maintain current landscape identity and values
Resistance: maintaining identity
Resilience: recovery from disruption
Facilitated by: diversity, connectivity and organism movement, spatial heterogeneity, Intermediate disturbance
Management uses these features to promise persistence
Transformation:
Focus on anticipating change and driving it to a desired equilibrium
Approaches:
Increasing or introducing disturbance
Facilitated diversity/migration
Preserving migration corridor
Innovation
Accelerate landscape conversion
Genomic intervention
…
Decline
Accept future losses
Ex: Sea level rise, desertification
Strategies: abandonment, accept new state
Simulation informs decision making and planning for forests
Data science+scenarios -> Landscape Change model -> Projects of tradeoffs
LANDIS-II: LANDscale Disturbance and Succession Model https://www.landis-ii.org/
Processes:
Succession
Disturbances
Anthropogenic Drivers: Harvesting, Fire Protection, Planting, Land use change, Climate change
Optimized for ‘Landscapes’
Typically 10k-10m hectares
Forecast 50-100 years into the future
Philosophy
Built for collaboration
Decentralized, distributed structure
Management by 501(c)3 non-profit
Distributed approach to evolving components
Open-source
C# language for low-barrier to coding complexity
User-determined complexity
Interface driven by text files and raster data
User select/install needed extensions
Spatially and temporally dynamic
2D grid of the landscape
Tree populations evolve over time
Trees grouped into cohorts
Spatial processes: insects, harvests, forest, wind
Applications by scientists across the world
LANDIS-II @ 20 years lessons learned
Collaboration is intentional, frequent meetings with the community, focus on shared values; takes time
Tight budget has benefits: focuses team on developing key features, long-term needs
Documentation is extremely useful for making model accessible
Major lessons
Every landscape is unique; no real “rules” of landscape change
Adaptation can be effective but will need to be committed
Need to make difficult choices and tradeoffs in landscape management
Triage will be needed
Beyond science, need to invest in social infrastructure to engage with stakeholders
Need policy innovation
Need to act before we know everything about forests
Need more local experimentation and decision-making