Empirical approaches to metacommunities: a review and comparison with theory.

By J. B. Logue, N. Mouquet, H. Peter, H. Hillebrand. Trends in Ecology & Evolution, 2011

687 citations recorded by the source corpus.

Subfields: Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/9d71edf47050c2f03d346c7bc1a92659f4adac50

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In Sociology and Political Science

1. Jens‐Christian Svenning
2. Jo Handelsman
3. L. De Meester
4. S. Allison
5. J. Ehrlén

Citations in the corpus

• Stay or go – how topographic complexity influences alpine plant population and community responses to climate change (2017, background): “…the patterns in community composition we observe in nature, and indeed how and if the relative importance of these processes can even be quantitatively assessed, have been highly debated and are far from being resolved (e.g., Logue et al., 2011). have a suitable microclimate patch nearby.”
• Fundamentals of Microbial Community Resistance and Resilience (2012, background): “Dispersal is a key feature of metacommunity theory, which recognizes communities as collections of interacting local communities linked by the movement of individuals in heterogeneous landscapes (e.g., Leibold et al., 2004; Logue et al., 2011).”
• Body size and dispersal mode as key traits determining metacommunity structure of aquatic organisms. (2012, background): “Understanding how and to what extent organism traits drive the structure of metacommunities is one of the major challenges of this relatively new but rapidly expanding discipline (Cottenie 2005; Logue et al. 2011).”
• River network properties shape α‐diversity and community similarity patterns of aquatic insect communities across major drainage basins (2013, background): “Most species live in spatially heterogeneous landscapes, with habitat area, species interactions and connectivity shaping local community composition (Holyoak et al., 2005; Logue et al., 2011; De Bie et al., 2012).”
• How to make more out of community data? A conceptual framework and its implementation as models and software. (2017, background): “Modern community ecology is progressing from the description of patterns towards a mechanistic perspective, which seeks to understand the processes determining the identities and abundances of the species from local to global spatiotemporal scales (Agrawal et al. 2007; Logue et al. 2011).”