Accounting for wildlife life-history strategies when modeling stochastic density-dependent populations: A review

作者：Williams Christopher K^*

来源：Journal of Wildlife Management, 2013, 77(1): 4-11.

DOI：10.1002/jwmg.429

• density dependence
• environmental stochasticity
• K-selected species
• maximum sustained yield
• nonlinear
• r-selected species
• theta-logistic

This article briefly reviews and provides discussion on the evidence for, and nature of, density-dependence patterns in r and K-selected species. In this review, I discuss how life-history strategies cause different nonlinear density-dependence patterns and I provide a simple modeling recommendation to incorporate nonlinear density dependence in population growth equations. Second, I discuss the importance of incorporation of environmental stochasticity and local extinction associated with nonlinear density dependence associated with life-history patterns through a novel modeling exercise. Last, I discuss the importance of considering how life-history nonlinear density dependence cou %26lt;br%26gt;ld affect optimal harvest yields. Though these topics are extensive, this review should spur wildlife biologists and managers to consider more inclusive population models that incorporate life-history strategies and stochasticity in their decision-making processes.

• 出版日期2013-1