Quantitative matrix comparisons in ecological and evolutionary investigations☆
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High frequency cropping of pulses modifies soil nitrogen level and the rhizosphere bacterial microbiome in 4-year rotation systems of the semiarid prairie
2018, Applied Soil EcologyCitation Excerpt :The relative influence of these predictors on the soil and root bacterial communities was quantified using the varpart function, an RDA-based variance partitioning method. The possibility of a relationship between the rhizosphere (phase-3) and wheat root (phase-4) bacterial communities was tested based on Jaccard distance using Mantel‘s asymptotic approximation (Douglas and Endler, 1982) in PC-ORD v. 6.19 (Peck, 2010). EstimateR (Chao1 richness estimator) and rarefy (observed richness) were used to calculate richness, and diversity was used to calculate the Shannon diversity index using the vegan add-on package in R and all OTUs.
Contextualizing macroecological laws: A big data analysis on electrofishing and allometric scalings in Ohio, USA
2017, Ecological ComplexityCitation Excerpt :We used the Mantel test to validate the allometric outcome and to verify if the scaling was inflated by outliers (large-sized individuals occasionally occurring in the last 2 vs. 3 bins of our complete spectra). This partial Mantel analysis has been carried out to assess whether the association between sampling method and size–biomass slope is stronger than could result from chance (algorithm based on Douglas and Endler, 1982). This preliminary approach is intended to yield an increased understanding of the multiple relationships between fish sizes, environment, and sampling.
Effects of time since fire on birds in a plant diversity hotspot
2013, Acta OecologicaCitation Excerpt :We assessed the role of vegetation structure and plant functional composition on bird species composition using Mantel tests (Mantel, 1967). The Mantel procedure circumvents the lack of independence among data values associated with traditional matrix correlations between all pairs of plots (Douglas and Endler, 1982). We calculated the Canberra distance between all pairs of plots for bird species composition (twenty-nine species), vegetation structure (seven variables) and plant functional composition (three variables).
Reconstructing climate variability on the northeastern Tibetan Plateau since the last Lateglacial - a multi-proxy, dual-site approach comparing terrestrial and aquatic signals
2011, Quaternary Science ReviewsCitation Excerpt :Smol et al. (2005) and Birks (2007) applied Detrended Canonical Correspondence Analysis (DCCA) to palaeo-records in the Arctic and in Norway, respectively, to gain quantitative estimates of compositional species turnover. A direct comparison of multivariate data sets was often assessed using the Mantel test (e.g., Douglas and Endler, 1982; Dutilleul et al., 2000) and Procrustes rotation (e.g., Peres-Neto and Jackson, 2001; Davidson et al., 2007). To date, however, no such analyses have been carried out on sites on the Tibetan Plateau.
Epigeic bryophytes do not improve bioindication by Ellenberg values in mountain forests
2009, Basic and Applied EcologyPutting the Mantel test back together again
2022, Ecology
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This project was initiated with MED was an NIH Post-Doctoral Fellow in Genetics at Princeton University (Public Health Service 1-T32-GM07625-01 to Princeton University). Computer analyses were completed while he was a Research Associate with the Oklahoma Biological Survey and Department of Zoology, University of Oklahoma, Norman. Preparation of this manuscript was supported by the Bureau of Biological Research, Rutgers—The State University (New Brunswick, NJ) JAE received support for field work in the West Indies from the Eugene Higgins Trust Fund to the Biological Department, Princeton University, and from NSF Grants BMS-75-11903 and DEB-79-11200. Manuscript reviews were graciously provided by Drs N. A. Buroker, J. D. Felley, W. J. Matthews, G. D. Schnell, R. R. Sokal, and Mr R. A. Schneck. However, all errors remain the responsibility of the senior author.