Intuition, functional responses and the formulation of predator-prey models when there is a large disparity in the spatial domains of the interacting species

被引:5
作者
Inchausti, P. [1 ]
Ballesteros, S. [2 ]
机构
[1] CNRS, Ctr Etudes Biol Chize, F-79360 Villiers En Bois, France
[2] Ecole Normale Super, Ecol & Evolut Equipe Ecoevolut Math, UMR 7625, F-75230 Paris 05, France
关键词
foraging behaviour; population dynamics; predator-prey models; space; spatial patterns;
D O I
10.1111/j.1365-2656.2008.01419.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
1. The disparity of the spatial domains used by predators and prey is a common feature of many terrestrial avian and mammalian predatory interactions, as predators are typically more mobile and have larger home ranges than their prey. 2. Incorporating these realistic behavioural features requires formulating spatial predator-prey models having local prey mortality due to predation and its spatial aggregation, in order to generate a numerical response at timescales longer than the local prey consumption. Coupling the population dynamics occurring at different spatial scales is far from intuitive, and involves making important behavioural and demographic assumptions. Previous spatial predator-prey models resorted to intuition to derive local functional responses from non-spatial equivalents, and often involve unrealistic biological assumptions that restrict their validity. 3. We propose a hierarchical framework for deriving generic models of spatial predator-prey interactions that explicitly considers the behavioural and demographic processes occurring at different spatial and temporal scales. 4. The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.
引用
收藏
页码:891 / 897
页数:7
相关论文
共 36 条
[1]   Consequences of behavioral dynamics for the population dynamics of predator-prey systems with switching [J].
Abrams, PA ;
Matsuda, H .
POPULATION ECOLOGY, 2004, 46 (01) :13-25
[2]  
[Anonymous], 2000, The Geometry of Ecological Interactions: Simplifying Spatial Complexity
[3]   Emergence of population growth models: Fast migration and slow growth [J].
Auger, P ;
Poggiale, JC .
JOURNAL OF THEORETICAL BIOLOGY, 1996, 182 (02) :99-108
[4]   Using moment equations to understand stochastically driven spatial pattern formation in ecological systems [J].
Bolker, B ;
Pacala, SW .
THEORETICAL POPULATION BIOLOGY, 1997, 52 (03) :179-197
[5]   Combining endogenous and exogenous spatial variability in analytical population models [J].
Bolker, BM .
THEORETICAL POPULATION BIOLOGY, 2003, 64 (03) :255-270
[6]   Stabilizing effects in spatial parasitoid-host and predator-prey models: a review [J].
Briggs, CJ ;
Hoopes, MF .
THEORETICAL POPULATION BIOLOGY, 2004, 65 (03) :299-315
[7]  
Chesson P, 1998, ENVIRONM INTELL UNIT, P151
[8]   Pattern formation and the spatial scale of interaction between predators and their prey [J].
de Roos, AM ;
McCauley, E ;
Wilson, WG .
THEORETICAL POPULATION BIOLOGY, 1998, 53 (02) :108-130
[9]  
Fortin D, 2006, ECOLOGY, V87, P1861, DOI 10.1890/0012-9658(2006)87[1861:TAOPST]2.0.CO
[10]  
2