Developing political-ecological theory: The need for many-task computing.

ABSTRACT: Models of political-ecological systems can inform policies for managing ecosystems that contain endangered species. To increase the credibility of these models, massive computation is needed to statistically estimate the model's parameters, compute confidence intervals for these parameters, determine the model's prediction error rate, and assess its sensitivity to parameter misspecification. To meet this statistical and computational challenge, this article delivers statistical algorithms and a method for constructing ecosystem management plans that are coded as distributed computing applications. These applications can run on cluster computers, the cloud, or a collection of in-house workstations. This downloadable code is used to address the challenge of conserving the East African cheeta

SUBMITTER: Haas T 

PROVIDER: S-EPMC7685461 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature