@article{Tisdell:126230,
      recid = {126230},
      author = {Tisdell, Clement A.},
      title = {Conserving Forest Wildlife and Other Ecosystem Services:  Opportunity Costs and The Valuation of Alternative Logging  Regimes},
      address = {2012-06},
      number = {1741-2016-140609},
      series = {Economics, Ecology and The Environment},
      pages = {32},
      year = {2012},
      abstract = {Ecosystems supply a wide variety of valued commodities,  including ecological services. Valuing these commodities  and determining the implications of their valuation for the  optimal management of ecosystems is challenging. This paper  considers the optimal spatial use of forest ecosystems  given that they can be utilised for conserving wildlife  species and for producing logs. It takes into account the  alternatives of selective logging and heavy (less  selective) logging. It considers whether it is optimal to  partition the use of a forest so that a portion of it is  used exclusively for wildlife conservation with the  remainder being utilised for heavy logging (a dominant use  strategy) or to combine wildlife conservation and selective  logging in at least part of the forest (a multiple use  strategy) with any remainder of the forest being available  for heavy logging. The assumed objective is to maximise the  profit from logging subject to the population of a focal  forest wildlife species being sustained at a particular  level, that is at a level at least equal to its minimum  viable population. The optimal use strategy cannot be  determined a priori but requires alternatives forgone to be  assessed. While orangutans are used as an example, the  model can be applied to other species. It can also be  applied (as is shown) to other ecological services such as  the quality of water flowing from forested areas. Although  the model may appear at first sight to be quite particular,  its application can be extended in several ways mentioned.  It demonstrates that the optimal spatial patterns of  ecosystem use require individual assessment.},
      url = {http://ageconsearch.umn.edu/record/126230},
      doi = {https://doi.org/10.22004/ag.econ.126230},
}