Development and Relevance of Future Models
Authored By: P. G. Schaberg, E. K. Miller, C. Eagar
Initial results like those described for New Hampshire and Vermont indicate that models of critical loads and forest sensitivity show real promise in helping to empirically define the threat posed to forests in an integrated and spatially explicit manner. Risk assessment will be assisted by the expansion and refinement of existing data sets and models, as well as the development of more detailed dynamic models applicable to specific, high-interest sites. Ultimately, refined models should help policy makers and managers improve their analyses and recommendations regarding possible options to prevent or mitigate anthropogenic Ca depletion across the forested landscape.
Subsections found in Development and Relevance of Future Models
- Steady State versus Dynamic Models : Steady-state models are most appropriate for regional studies because of their lower data requirements.
- Policy Implications : First and foremost, modeling approaches such as those involving the estimation of steady state or dynamic critical loads could be of benefit to policy makers when evaluating the possible consequences of various pollution mitigation options as they relate to Ca cycling, forest health, and productivity.
- Management Implications : Results from modeling efforts may also inform resource managers regarding the need for possible intervention and protective strategies to reduce or mitigate the impacts of air pollution.
- Worldwide Relevance : Concerns about the influence of Ca depletion on forest health exist for industrialized regions around the world including Europe, Eastern North America, and increasingly China (Driscoll and others 2001, Duan and others 2000, Kirchner and Lydersen 1995, Likens and others 1996, Schulze 1989, Tao and Feng 2000).
Encyclopedia ID: p3202
