Contrasts between habitat generalists and specialists: an empirical extension to the basic metacommunity framework.
By Shubha N. Pandit, Jurek Kolasa, Karl Cottenie. Ecology, 2009
627 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/6e3922b169755b9a04e99e6496506cbcbb8f804f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Ecology
In Nature and Landscape Conservation
- E. Casamayor
- A. Barberán
- M. Horsák
- M. Hájek
- Kateřina Kintrová
- C. Gómez‐Rodríguez
- C. Díaz‐Paniagua
- L. Serrano
Citations in the corpus
- Biodiversity patterns in a macroinvertebrate community of a temporary pond network (2014, background): “…by annual inundation-desiccation cycles (Williams, 1997), are ideal model systems to study metacommunity ecology given their simple structure, local abundance, and occurrence in pond networks that demonstrate clear environmental gradients (Vanschoenwinkel et al., 2007; Pandit et al., 2009).”
- Environmental and spatial controls of biotic assemblages in a discrete semi‐terrestrial habitat: comparison of organisms with different dispersal abilities sampled in the same plots (2011, background): “One of the most promising theoretical frameworks concerning species distributions, diversity and coexistence is the metacommunity concept, which has developed rapidly in recent years (Leibold et al., 2004; Cottenie, 2005; Ng et al., 2009; Pandit et al., 2009; Okuda et al., 2010).”
- Deterministic selection dominates microbial community assembly in termite mounds (2020, methodology): “A previous study reported that organisms with wider niche breadth might have greater metabolic plasticity and be less in uenced by deterministic processes [34].”
- Using network analysis to explore co-occurrence patterns in soil microbial communities (2011, background): “Thus, the two somehow arbitrary ecological categories that we established allowed us to capture additional information on the community assembling structure as previously shown for macroorganisms (Pandit et al., 2009).”