Properties and interpretation of the Skellam model-A discrete-time contest competition population model

被引:1
|
作者
Suba, Jurgis [1 ,4 ]
Kawata, Yukichika [2 ]
Linden, Andreas [3 ]
机构
[1] Latvian State Forest Res Inst Silava, Salaspils, Latvia
[2] Kindai Univ, Fac Econ, Higashiosaka, Osaka, Japan
[3] Nat Resources Inst Finland, Helsinki, Finland
[4] Latvian State Forest Res Inst Silava, Rigas Str 111, LV-2169 Salaspils, Latvia
关键词
individual distribution; intraspecific competition; population dynamics; Ricker model; Skellam model; DERIVATION; MATRIX;
D O I
10.1002/1438-390X.12169
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The Skellam model describes discrete-time population dynamics of a single species assuming uniform (i.e., random or Poissonian) individual distribution and intraspecific contest competition. Apart from studies on individual-based models derived from first principles it has been rarely applied in ecological research although in specific situations it may be more appropriate than, for instance, the frequently used Ricker model, which is derived assuming scramble competition among the individuals. In this article, we offer an insight into the first principles underlying the Skellam model and provide an alternative parameterization of the model in terms of two commonly used parameters: intrinsic rate of population increase and carrying capacity. We also provide guidelines and software for fitting the Skellam model to discrete population time series data. In light of these findings, the Skellam model may be a useful alternative for a range of purposes where it has been earlier overlooked. The Skellam model describes discrete-time population dynamics of a single species assuming random individual distribution and intraspecific contest competition. In this article, we offer an insight into the first principles underlying the Skellam model and provide an alternative parameterization of the model in terms of two commonly used parameters: intrinsic rate of population increase and carrying capacity. In light of these findings, the Skellam model may be a useful alternative for a range of purposes where it has been earlier overlooked, for example, in fitting population models to time series data.image
引用
收藏
页码:115 / 122
页数:8
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