Properties and interpretation of the Skellam model-A discrete-time contest competition population model
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作者:
Suba, Jurgis
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Latvian State Forest Res Inst Silava, Salaspils, Latvia
Latvian State Forest Res Inst Silava, Rigas Str 111, LV-2169 Salaspils, LatviaLatvian State Forest Res Inst Silava, Salaspils, Latvia
Suba, Jurgis
[1
,4
]
Kawata, Yukichika
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Kindai Univ, Fac Econ, Higashiosaka, Osaka, JapanLatvian State Forest Res Inst Silava, Salaspils, Latvia
Kawata, Yukichika
[2
]
Linden, Andreas
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Nat Resources Inst Finland, Helsinki, FinlandLatvian State Forest Res Inst Silava, Salaspils, Latvia
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
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