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Many ecosystem models, particularly those that are “mechanistic” (based on an understanding of processes), are over-parameterized (not identifiable). As a result, model parameters are selected (not estimated using an optimization technique), parametererror/covariance terms become extremely difficult to estimate, and Monte Carlo error propagation does not adequately capture the effect of all uncertain model terms. In those situations, techniques that evolved from Regional (Generalized) Sensitivity Analysis (RSA), such as Generalized Likelihood Uncertainty Estimation (GLUE), Bayes Monte Carlo, and Markov Chain Monte Carlo (MCMC), are preferred techniques for model error propagation. These techniques can be used to...
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The South Atlantic Conservation Blueprint is a living spatial plan to conserve natural and cultural resources for future generations. It identifies shared conservation priorities across the South Atlantic region. The fourth iteration of the Blueprint, Version 2.2, was released in November 2017. It used comparable methods and the same spatial scale as Blueprint 2.0 and 2.1, just incorporating updated information for many of the indicators. Version 2.2 was a completely data-driven plan based on ecosystem indicator models for terrestrial, freshwater, and marine environments, as well as a connectivity analysis. It used a 200 m spatial scale. More than 500 people from 150 organizations participated in the development...
Categories: Data, Project; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: 2017, ANTHROPOGENIC/HUMAN INFLUENCED ECOSYSTEMS, AQUATIC ECOSYSTEMS, Academics & scientific researchers, Applications and Tools, All tags...


map background search result map search result map Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models South Atlantic Conservation Blueprint Version 2.2 Regionalized Sensitivity Analysis and related techniques applied to landscape and ecological response models South Atlantic Conservation Blueprint Version 2.2