@article{Meilby:197911,
      recid = {197911},
      author = {Meilby, Henrik and Brazee, Richard J.},
      title = {Sustainibility and Long-term Dynamics of Forests: Methods  and Metrics for Detection of Convergence and Stationarity},
      journal = {Scandinavian Forest Economics: Proceedings of the Biennial  Meeting of the Scandinavian Society of Forest Economics},
      address = {2004-05},
      number = {1329-2016-103677},
      pages = {13},
      year = {2004},
      abstract = {Sustainability has several definitions within natural  resource economics. Sustainable states may be economically  or biologically determined. Age and age classes add  complexity to any definition of forest sustainability. Here  we focus on selected metrics that might be used to define  forest sustainability, convergence to sustainable state,  and methods that allow convergence detection and  classification of forest dynamics. In a deterministic world  sustainable states of forests may be cyclic or fixed. If  random perturbations are included, sustainability is  associated with convergence of distribution parameters.  Pattern recognition procedures are presented that detect  whether a forest converges to a cyclic, a fixed or  stationary state and whether convergence is fast, slow or  cannot be observed within the time horizon considered.},
      url = {http://ageconsearch.umn.edu/record/197911},
      doi = {https://doi.org/10.22004/ag.econ.197911},
}