4.3 Article

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

Journal

JOURNAL OF WILDLIFE MANAGEMENT
Volume 77, Issue 1, Pages 4-11

Publisher

WILEY
DOI: 10.1002/jwmg.429

Keywords

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

Ask authors/readers for more resources

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 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. (c) 2012 The Wildlife Society.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.3
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available