Design Features behind Success of the Ecosystem Management Decision Support System and Future Development

Forests

Keith Reynolds³  Steven Paplanus²  Bruce Miller¹  Philip Murphy⁴ 

[1] Rules of Thumb, Inc., 11817 Cedar Mill Road, North East, PA 16428, USA; E-Mail:;Mountain View Business Group LLC, 1283 Hibiscus St, Upland, CA 91784, USA; E-Mail:;US Department of Agriculture, Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR 97331, USA;InfoHarvest, Inc., PO Box 25155, Seattle, WA 98165-2055, USA; E-Mail:

关键词: Ecosystem Management Decision Support system;    tiered architecture;    logic modeling;    multi-criteria decision analysis;    workflows;    provenance tracking;    parallel processing;    environmental analysis;    environmental planning;   

DOI  :  10.3390/f6010027

来源: mdpi

【 摘 要 】

The Ecosystem Management Decision Support (EMDS) system is an application framework for designing and implementing spatially enabled knowledge-based decision support systems for environmental analysis and planning at any geographic scale(s). The system integrates state-of-the-art geographic information system, as well as knowledge-based reasoning and decision modeling, technologies to provide decision support for the adaptive management process of ecosystem management. It integrates a logic engine to perform landscape evaluations, and a decision engine for developing management priorities. The logic component: (1) reasons about large, abstract, multi-faceted ecosystem management problems; (2) performs useful evaluations with incomplete information; (3) evaluates the influence of missing information, and (4) determines priorities for missing information. The planning component determines priorities for management activities, taking into account not only ecosystem condition, but also criteria that account for logistical concerns of potential management actions. Both components include intuitive diagnostic features that facilitate communicating modeling results to a broad audience. Features of the system design that have figured in its success over the past 20 years are highlighted, together with design features planned for the next several versions needed to provide spatial decision support for adaptive management under climate change.

【 授权许可】

CC BY   
© 2014 by the authors; licensee MDPI, Basel, Switzerland.