Developing political-ecological theory: The need for Many-Task Computing

Author:

Haas Timothy C.ORCID

Abstract

AbstractModels of political-ecological systems can inform policies for managing ecosystems that contain endangered species. One way to increase the credibility of these models is to subject them to a rigorous suite of data-based statistical assessments. Doing so involves statistically estimating the model’s parameters, computing confidence intervals for these parameters, determining the model’s prediction error rate, and assessing its sensitivity to parameter misspecification.Here, these statistical algorithms along with a method for constructing politically feasible policies from a statistically fitted model, are coded as JavaSpaces™ programs that run as compute jobs on either supercomputers or a collection of in-house workstations. Several new algorithms for implementing such jobs in distributed computing environments are described.This downloadable code is used to compute each job’s output for the management challenge of conserving the East African cheetah (Acinonyx jubatus). This case study shows that the proposed suite of statistical tools can be run on a supercomputer to establish the credibility of a managerially-relevant model of a political-ecological system that contains one or more endangered species. This demonstration means that the new standard of credibility that any political-ecological model needs to meet before being used to inform ecosystem management decisions, is the one given herein.

Publisher

Cold Spring Harbor Laboratory

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3