Quantifying community assembly processes and identifying features that impose them
By James C. Stegen, Xueju Lin, Jim K. Fredrickson, Xingyuan Chen, D. Kennedy, Christopher J. Murray, Mark Rockhold, Allan E. Konopka. The ISME Journal, 2013
2,106 citations recorded by the source corpus.
Subfields: Ecology, Environmental Chemistry, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/2b1ae271fd6690fd1215fbe21477c267114b8fa2
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Citations in the corpus
- A general framework for quantitatively assessing ecological stochasticity (2019, methodology): “Since the algorithm PF (proportional taxa occurrence frequency, fixed richness) has been used more often (19, 26), we examined different metrics based on this null model.”
- High throughput sequencing analysis of biogeographical distribution of bacterial communities in the black soils of northeast China (2014, background): “Environmental heterogeneity drives biogeographic patterns by the commonly known hypothesis “everything is everywhere, but the environment selects” (Baas Becking, 1934; De Wit and Bouvier, 2006), suggesting the microbial species are widely distributed and the microbial community compositions are gove”
- Disentangling mechanisms that mediate the balance between stochastic and deterministic processes in microbial succession (2015, methodology): “Alternative hypotheses within the conceptual model were tested by applying an ecological null modeling approach (3) to data from a soil chronosequence spanning 105 years of primary ecosystem succession (22).”
- Soil pH mediates the balance between stochastic and deterministic assembly of bacteria (2018, methodology): “Previous work linking βNTI with spatial variables has therefore interpreted significant relationships between βNTI and spatial distance as indicating that there are unmeasured, spatially autocorrelated environmental variables driving community composition through a selection-based mechanism, as oppo”
- Stochastic Community Assembly: Does It Matter in Microbial Ecology? (2017, methodology): “However, the inclusion of abundance data in null modeling randomization is much more complicated and challenging (109, 212), and further developments are needed (212).”
- Deterministic selection dominates microbial community assembly in termite mounds (2020, background): “Understanding the ecological and environmental drivers that govern the assembly of microbial communities is a central aim in microbial ecology [1, 2].”