<?xml version='1.0' encoding='UTF-8'?><xml><records><record><source-app name="HighWire" version="7.x">Drupal-HighWire</source-app><ref-type name="Journal Article">17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Finseth, Ryan M.</style></author><author><style face="normal" font="default" size="100%">Conrad, Jon M.</style></author></authors><secondary-authors></secondary-authors></contributors><titles><title><style face="normal" font="default" size="100%">Cost-effective Recovery of an Endangered Species: The Red-cockaded Woodpecker</style></title><secondary-title><style face="normal" font="default" size="100%">Land Economics</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2014</style></year><pub-dates><date><style  face="normal" font="default" size="100%">2014-11-01 00:00:00</style></date></pub-dates></dates><pages><style  face="normal" font="default" size="100%">649-667</style></pages><doi><style  face="normal" font="default" size="100%">10.3368/le.90.4.649</style></doi><volume><style face="normal" font="default" size="100%">90</style></volume><issue><style face="normal" font="default" size="100%">4</style></issue><abstract><style  face="normal" font="default" size="100%">A model for the recovery of an endangered species is developed and applied to the red-cockaded woodpecker (Picoides borealis), a species once abundant in the southeastern United States. There is a finite set of recovery actions that might be implemented in each period, with the goal of reaching a population target at some future date. Dynamic programming is used to solve deterministic and stochastic versions of the model. Least-cost recovery plans are found for the deterministic problem where it is possible to attain a population target with certainty. For the stochastic problem, least-cost, adaptive actions are identified. (JEL Q24, Q28)</style></abstract></record></records></xml>