No abstract

No abstract

This perspective article presents considerations based on an attempt for initiating a landscape characterization in the United States using the Landscape Character Assessment (LCA) method initially developed in Great Britain. Literature on LCA underlines the issue of its transferability and the necessity to address, both theoretically and practically, its adaptation when the method is transplanted to other territories. The authors focus on the development of a theoretical framework for the adaptation of the method to a different cultural, geographical, social, political, and institutional context from the one it was designed for. The region of application are West Virginia southern coalfields where mountaintop removal coal mining coexists with rural landscapes, forested mountains, and scarcely inhabited valleys. The significance of conducting a landscape characterization in such an area is acknowledged as well as the necessity to address five dimensions of the question of transferability: physical, cultural, disciplinary, political, and social. In the article the authors examine the British and USA character-based approaches to landscape highlighting the main differences. The environmental history of West Virginia southern coalfields is introduced, and the current landscape is described. Finally, the authors discuss how the five dimensions of transferability can be addressed in the USA context stimulating further theoretical developments and practical attempts of landscape characterization.

Throughout the Central Appalachians of the United States resource extraction primarily from coal mining has contributed to the majority of the forest conversion to barren and reclaimed pasture and grass. The loss of forests in this ecoregion is significantly impacting biodiversity at a regional scale. Since not all forest stands provide equal levels of ecological functions, it is critical to identify and map existing forested resources by the benefits that accrue from their unique spatial patterns, watershed drainage, and landscape positions. We utilized spatial analysis and remote sensing techniques to define critical forest characteristics. The characteristics were defined by applying a forest fragmentation model utilizing morphological image analysis, defining headwater catchments at a 1 : 24,000 scale, and deriving ecological land units (ELUs) from elevation data. Once critical forest values were calculated, it was possible to identify clusters of critical stands using spatial statistics. This spatially explicit method for modeling forest habitat could be implemented as a tool for assessing the impact of resource extraction and aid in the conservation of critical forest habitat throughout a landscape.

No abstract