Title of article :
A landscape model (LEEMATH) to evaluate effects of management impacts on timber and wildlife habitat
Author/Authors :
Li، Harbin نويسنده , , Gartner، David I. نويسنده , , Mou، Pu نويسنده , , Trettin، Carl C. نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2000
Abstract :
Managing forest resources for sustainability requires the successful integration of economic and ecological goals. To attain such integration, land managers need decision support tools that incorporate science, land-use strategies, and policy options to assess resources sustainability at large scales. Landscape Evaluation of Effects of Management Activities on Timber and Habitat (LEEMATH) is a tool for evaluating alternative management strategies from both economic and ecological perspectives. The current version of LEEMATH emphasizes timber production and wildlife habitat in industrial forest landscapes. LEEMATH provides a framework upon which various models can be integrated. It is generic because it is designed to model stand growth, habitat attribute, and habitat suitability as they exist generally throughout the American Southeast. It is dynamic because it examines effects of management strategies on timber production and habitat quality over time, especially the balance between habitat loss and regrowth at the landscape scale. It is spatially explicit because it evaluates landscape configuration for its effects on habitat in terms of adjacency requirements and dispersal potential. It is heuristic because it simulates the dynamics of forest stands under different management scenarios and allows land managers to ask `WHAT-IFʹ questions to explore management alternatives and their possible effects over time. In this paper, we discuss how to integrate different models into a decision-support system, and how to evaluate habitat suitability at the landscape level. We also discuss the gaps in our knowledge of landscape habitat assessment and the limitations of LEEMATH. Finally, we apply LEEMATH to a forested landscape on the coastal plain of South Carolina, USA, to demonstrate its usefulness in management planning with multiple interests. We show the effects of two management regimes on timber production, habitat attribute dynamics, and habitat quality of three target wildlife species at both the stand and the landscape scales.
Keywords :
Habitat management , Landscape planning , Habitat simulation models
Journal title :
COMPUTERS & ELECTRONICS IN AGRICULTURE
Journal title :
COMPUTERS & ELECTRONICS IN AGRICULTURE