The favoured state approach sensu Fox (1987) was used to investigate the existence of assembly rules for woodland bird communities in an agricultural landscape. When birds were classified according to gross breeding habitat requirements, year-round resident, .true. woodland species showed an excess of favoured states suggesting a possible assembly rule. There was weaker evidence for a similar assembly rule governed by foraging requirements. This pattern was shown for all woods together, and for most categories of woods, grouped according to size, shape or size and shape together. Summer migrants did not show such patterns, and their arrival appeared to mask any patterns established by year-round resident species. The statistical significance of the excess of favoured states was highest in 1990, when bird population densities were considerably higher than in 1991 and 1992. Interspecific competition appears to be a factor in structuring woodland bird communities within the area sampled. Some implications for the action of these assembly rules on the results of further habitat fragmentation are discussed.
Belyea, L.R. and J. Lancaster. 1999: Assembly rules within a contingent ecology. Oikos86:402-416.
'Assembly rules within a contingent ecology' () Oikos: 402-416.
Assembly rules within a contingent ecologyOikos402416)| false
Hinsley, S.A. R.J. Pakeman, P.E. Bellamy and I. Newton. 1996b: Influences of habitat fragmentation on bird species distributions and regional population sizes. Proceedings of the Royal Society of London, B.263:307-313.
'Influences of habitat fragmentation on bird species distributions and regional population sizes' () Proceedings of the Royal Society of London, B.: 307-313.
Influences of habitat fragmentation on bird species distributions and regional population sizesProceedings of the Royal Society of London, B.307313)| false
Simberloff, D. L. Stone and T. Dayan. 1999: Ruling out a community assembly rule: the method of favored states. In: E. Weiher and P.A. Keddy, Ecological Assembly Rules. Perspectives, Advances, Retreats. Cambridge University Press, Cambridge, pp.58-74.
Ruling out a community assembly rule: the method of favored states, () 58-74.
Ruling out a community assembly rule: the method of favored states5874)| false
Madhur Anand, CAN (forest ecology, computational ecology, and ecological complexity)
S. Bagella, ITA (temporal dynamics, including succession, community level patterns of species richness and diversity, experimental studies of plant, animal and microbial communities, plant communities of the Mediterranean)
P. Batáry, HUN (landscape ecology, agroecology, ecosystem services)
P. A. V. Borges, PRT (community level patterns of species richness and diversity, sampling in theory and practice)
A. Davis, GER (supervised learning, multitrophic interactions, food webs, multivariate analysis, ecological statistics, experimental design, fractals, parasitoids, species diversity, community assembly, ticks, biodiversity, climate change, biological networks, cranes, olfactometry, evolution)
Z. Elek, HUN (insect ecology, invertebrate conservation, population dynamics, especially of long-term field studies, insect sampling)
T. Kalapos, HUN (community level plant ecophysiology, grassland ecology, vegetation-soil relationship)
G. M. Kovács, HUN (microbial ecology, plant-fungus interactions, mycorrhizas)
W. C. Liu,TWN (community-based ecological theory and modelling issues, temporal dynamics, including succession, trophic interactions, competition, species response to the environment)
L. Mucina, AUS (vegetation survey, syntaxonomy, evolutionary community ecology, assembly rules, global vegetation patterns, mediterranean ecology)
P. Ódor, HUN (plant communities, bryophyte ecology, numerical methods)
F. Rigal, FRA (island biogeography, macroecology, functional diversity, arthropod ecology)
D. Rocchini, ITA (biodiversity, multiple scales, spatial scales, species distribution, spatial ecology, remote sensing, ecological informatics, computational ecology)
F. Samu, HUN (landscape ecology, biological control, generalist predators, spiders, arthropods, conservation biology, sampling methods)