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Bayesian statistics, in contrast to classical statistics, uses probability to represent uncertainty about the state of knowledge. Bayesian statistics has often been associated with the idea that knowledge is subjective and that a probability distribution represents a personal degree of belief. Dr. Daniel Goodman considered this viewpoint problematic for issues of public policy. He sought to ground his Bayesian approach in data, and advocated the construction of a prior as an empirical histogram of “similar” cases. In this way, the posterior distribution that results from a Bayesian analysis combined comparable previous data with case-specific current data, using Bayes’ formula. Goodman championed such a data-based...
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Mangroves are forested tidal wetlands that occur in tropical, sub-tropical, and warm temperate coastal regions around the world. Mangroves occupy a significant area of coastlines globally and provide important ecosystem services to humans and wildlife. These services include aesthetic value, storm protection, food provisioning, recreation, critical wildlife habitat, and biological carbon sequestration. However, mangrove wetlands are being lost globally due to both human development and sea level rise. Since mangroves provide numerous services and protections to society, the influences of environmental change on these ecosystems need to be understood so that effective management action can be taken. This project...
Categories: Project;
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: 2020,
CASC,
Forests,
Forests,
Landscapes, All tags...
Landscapes,
Other Landscapes,
Other Landscapes,
Plants,
Projects by Region,
Sea-Level Rise and Coasts,
Sea-Level Rise and Coasts,
Southeast,
Southeast CASC,
Water, Coasts and Ice,
Water, Coasts and Ice,
Wetlands,
Wetlands,
Wildlife and Plants, Fewer tags
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Estimating species response to environmental change is a key challenge for ecologists and a core mission of the USGS. Effective forecasting of species response requires models that are detailed enough to capture critical processes and at the same time general enough to allow broad application. This tradeoff is difficult to reconcile with most existing methods. We propose to extend and combine existing models that operate at different scales and with different levels of data complexity into a modeling framework that will allow robust estimation of population response to environmental change across a species’ range. This integrated modeling is now possible with the increasing development and application of population...
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