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
Link To Document :
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