Table of Contents
ISRN Ecology
Volume 2012, Article ID 384892, 13 pages
Review Article

A Habitat-Based Framework for Communicating Natural Resource Condition

1Integration and Application Network, University of Maryland Center for Environmental Science, P.O. Box 775, Cambridge, MD 21613, USA
2US Geological Survey, National Climate Change & Wildlife Science Center, Reston, VA 20192, USA
3Department of Geography and the Environment, University of Richmond, 28 Westhampton Way, Richmond, VA 23173, USA

Received 8 December 2011; Accepted 7 January 2012

Academic Editors: D. Gerten and D. Sánchez-Fernández

Copyright © 2012 Tim J. B. Carruthers et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Progress in achieving desired environmental outcomes needs to be rigorously measured and reported for effective environmental management. Two major challenges in achieving this are, firstly, how to synthesize monitoring data in a meaningful way at appropriate temporal and spatial scales and, secondly, how to present results in a framework that allows for effective communication to resource managers and scientists as well as a broader general audience. This paper presents a habitat framework, developed to assess the natural resource condition of the urban Rock Creek Park (Washington, DC, USA), providing insight on how to improve future assessments. Vegetation and stream GIS layers were used to classify three dominant habitat types, Forest, Wetland, and Artificial-terrestrial. Within Rock Creek Park, Forest habitats were assessed as being in good condition (67% threshold attainment of desired condition), Wetland habitats to be in fair condition (49% attainment), and Artificial-terrestrial habitats to be in degraded condition (26% attainment), resulting in an assessed fair/good condition (60% attainment; weighted by habitat area) for all natural resources in Rock Creek Park. This approach has potential to provide assessment of resource condition for diverse ecosystems and provides a basis for addressing management questions across multiple spatial scales.