• Title of article

    DeerKBS: a knowledge-based system for white-tailed deer management

  • Author/Authors

    Xie، نويسنده , , Jialong and Liu، نويسنده , , Jianguo and Doepker، نويسنده , , Robert، نويسنده ,

  • Pages
    16
  • From page
    177
  • To page
    192
  • Abstract
    Recognizing that wildlife managers are facing many challenges (e.g. increased numbers and involvement of stakeholders) and decisions must be made on conflicting expectations and limited data, we developed a knowledge-based system for white-tailed deer management (DeerKBS) to assist wildlife managers in making informed decisions. This system employed wildlife managers’ expertise and knowledge, and standardized decision-making procedures for management. A ‘top down’ technique was used to divide the task of deer management decision-making process into four subtasks: (1) deer population evaluation, (2) deer habitat evaluation, (3) social carrying capacity evaluation, and (4) environmental evaluation. Each subtask was represented by a decision tree, developed and tested separately. The ‘top-down’ technique offers the flexibility to include more information when available. DeerKBS is an effective communication tool for presenting the decision-making process to stakeholders, and an educational tool to help users understand the complexity of the management decision-making process.
  • Keywords
    DeerKBS , Knowledge-based system , Odocoileus virginianus , Deer Management , white-tailed deer , Social carrying capacity
  • Journal title
    Astroparticle Physics
  • Record number

    2080629