Filters: Contacts: Stephen T Jackson (X) > partyWithName: Bonnie J Myers (X)
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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...
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...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2016,
CASC,
Completed,
National CASC,
National CASC,
Abstract (from Bioscience): Biodiversity projections with uncertainty estimates under different climate, land-use, and policy scenarios are essential to setting and achieving international targets to mitigate biodiversity loss. Evaluating and improving biodiversity predictions to better inform policy decisions remains a central conservation goal and challenge. A comprehensive strategy to evaluate and reduce uncertainty of model outputs against observed measurements and multiple models would help to produce more robust biodiversity predictions. We propose an approach that integrates biodiversity models and emerging remote sensing and in-situ data streams to evaluate and reduce uncertainty with the goal of improving...
Categories: Publication;
Types: Citation
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