Skip to main content

Stephen T Jackson

In 1969, researchers developed the first global circulation model (Ruttiman 2006); however, it was not until 2014 that modelers first attempted a global ecosystem and biodiversity model that included human pressures (i.e., the Madingley Model) (Harfoot et al. 2014). Other large-scale models of biodiversity exist, such as GLOBIO (Alkemade et al. 2009), but to date there are no well accepted global biodiversity models similar to global circulation models that can help guide global biodiversity policy development and targets. The lack of global biodiversity models compared to the extensive array of general circulation models provides a unique opportunity for climate, ecosystem, and biodiversity modeling experts to...
Abstract (from Fisheries Magazine): Ecosystem transformation can be defined as the emergence of a self‐organizing, self‐sustaining, ecological or social–ecological system that deviates from prior ecosystem structure and function. These transformations are occurring across the globe; consequently, a static view of ecosystem processes is likely no longer sufficient for managing fish, wildlife, and other species. We present a framework that encompasses three strategies for fish and wildlife managers dealing with ecosystems vulnerable to transformation. Specifically, managers can resist change and strive to maintain existing ecosystem composition, structure, and function; accept transformation when it is not feasible...
Categories: Publication; Types: Citation
Key Messages: 1. Ecosystem functions and the services they provide to people can support climate adaptation efforts. 2. A systems perspective that includes ecosystem services could contribute to the CASC research agenda in three interrelated ways: they can directly benefit current CASC stakeholder goals, they can provide co-benefits to CASC stakeholders, and they allow for full-benefit accounting of the impacts of choices made by natural resource managers. 3. Some existing CASC research aligns well with an ecosystem services framing and could be enhanced by understanding how the components fit into a broader multi-objective context. Notable bright spots for research in these dimensions concern coastal resilience...
Categories: Publication; Types: Citation
thumbnail
Understanding Extreme Climate Events in the North Central U.S.
The climate of the North Central U.S. is driven by a combination of factors, including atmospheric circulation patterns, the region’s complex topography which extends from the High Rockies to the Great Plains, and variations in hydrology. Together, these factors determine the sustainability of the region’s ecosystems and the services that they provide communities. In order to understand the vulnerability of the region’s ecosystems to change, it is necessary to have reliable projections of future climate conditions. To address this need, researchers first examined past and present variations in climate and assessed the ability of climate models to effectively project future climate conditions for the region. Second,...
thumbnail
Workshops and Collaborations to Improve Biodiversity and Climate Modeling
As our world changes and communities are faced with uncertain future climate conditions, decision making and resource planning efforts can often no longer rely on historic scientific data alone. Scientific projections of what might be expected in the future are increasingly needed across the country and around the world. Scientists and researchers can develop these projections by using computer models to simulate complex elements of our climate and their interactions with ecosystems, wildlife, and biodiversity. While an extensive array of general circulation models (GCMs, climate models of the general circulation of the atmosphere and ocean) exist, there is currently a lack of global biodiversity models. This project...
View more...
ScienceBase brings together the best information it can find about USGS researchers and offices to show connections to publications, projects, and data. We are still working to improve this process and information is by no means complete. If you don't see everything you know is associated with you, a colleague, or your office, please be patient while we work to connect the dots. Feel free to contact sciencebase@usgs.gov.