Multivariate Analysis of Ecological Data Using canoco
By E. Etten. 2005
2,718 citations recorded by the source corpus.
Subfields: Ecology, Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/9dfde199e25284a74522a01120219202702adbdf
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecology
- L. Brendonck
- Francesco de Bello
- Bram Vanschoenwinkel
- D. Richardson
- J. Lepš
- J. Fischer
- David B. Lindenmayer
- M. Seaman
In Global and Planetary Change
- Josep Peñuelas
- Patricia Prieto
- M. Estiarte
- Francesco de Bello
- D. Richardson
- L. Llorens
- J. Lepš
- S. Lavorel
In Nature and Landscape Conservation
- D. Richardson
- Francesco de Bello
- Petr Pyšek
- Wilfried Thuiller
- E. García‐Berthou
- J. Lepš
- Josep Peñuelas
- M. Vilà
Citations in the corpus
- Analysing Ecological Data (2007, methodology): “However, this process does involve removing trends from data (Leps and Smilauer 2003), and this might be the main point of interest.”
- Predicting plant invaders in the Mediterranean through a weed risk assessment system (2010, methodology): “This linear method was chosen because the number of species was low (197) compared to the number of variables (30) and the length of the longest gradient from Detrended Correspondence Analysis was between 1 and 2 (Lepš and Šmilauer 2006).”
- A New Approach for Tracking Vegetation Change after Restoration: A Case Study with Peatlands (2013, background): “…like principal response curves (PRC), a particular case of redundancy analysis (RDA) for which the measured attribute (e.g. species composition) for a given treatment is expressed as deviations from a reference value, at different times (van den Brink & ter Braak 1999; Leps & Smilauer 2003).”
- Resource availability mediates the importance of priority effects in plant community assembly and ecosystem function (2013, methodology): “We explored the temporal development of plant community composition in our microcosms using principal response curves (PRCs) according to Lep š and Š milauer (2003).”
- Statistical guidelines for Apis mellifera research (2013, background): “Multivariate statistics are widely used in ecology (Leps and Smilauer, 2003), but less often in bee research.”
- Effects of resource availability and climate on the diversity of wood‐decaying fungi (2010, methodology): “Therefore, we decided to use correspondence analyses for further analyses (Leps & Smilauer 2003).”
- Reef fish community structure of the Fernando de Noronha Archipelago (Equatorial Western Atlantic): the influence of exposure and benthic composition (2011, methodology): “%) was arcsine transformed and species abundance and biomass data were LogX+1 transformed (Zar 1999; Leps and Smilauer 2007).”
- Biodiversity patterns in a macroinvertebrate community of a temporary pond network (2014, background): “In the RDA, we excluded taxa stages that occurred in less than five ponds (30% of total species number) to avoid the disrupting effect of rare species (Leps & Smilauer, 2003).”
- Freshwater diatom biogeography in the Canadian Arctic Archipelago (2004, methodology): “Variables with skewed distributions, such as AT, DFC and depth (Dep) were square-root transformed; all other variables, except for pH, were log transformed (Lepš & Šmilauer, 2003).”
- Effects of processed kaolin on pests and non-target arthropods in a Spanish olive grove (2010, methodology): “CANOCO software provides the parameters necessary to generate PRCs, expressed as canonical coefficients that summarise the effect of treatments on the abundance of all sampled taxa on every sampling date (Leps and Smilauer 2003).”
- Dissecting a biodiversity hotspot: The importance of environmentally marginal habitats in the Atlantic Forest Domain of South America (2017, background): “…exclusion of 300 singletons (species found at a single site), as they commonly increase the noise in most analyses without contributing information (Lepš & Šmilauer, 2003); (2) the Hellinger transformation of the binary presence/absence data (Legendre & Gallagher, 2001), which reduces the effect…”
- Vulnerability of alpine stream biodiversity to shrinking glaciers and snowpacks (2007, methodology): “An initial detrended correspondence analysis (DCA) in CANOCO version 4.5 showed low species turnover along Axis 1 (Lepš & Šmilauer, 2003).”
- Changes in microbial community structure and function following Sphagnum peatland restoration (2010, methodology): “…are not strictly independent due to spatial autocorrelation, we coded the different levels of structure (season, vegetation class, and type of peat) using dummy variables and used them as a constraining matrix in the RDA, as suggested in Lep s and Smilauer (2003) for hierarchical (nested) designs.”
- Cover-Crop Systems Affect Weed Communities in a California Vineyard (2008, neutral): “Analyses were performed in CANOCO4 (Leps and Smilauer 2003).”
- The human small intestinal microbiota is driven by rapid uptake and conversion of simple carbohydrates (2012, methodology): “Multivariate statistical software Canoco 4.5 for windows (Leps and Smilauer, 2003;Biometrix, Plant Research International, Wageningen, The Netherlands) was used to perform the principle component analysis on log-transformed HITChip probe signal-intensity profiles.”
- The effect of stand structure and tree species composition on epiphytic bryophytes in mixed deciduous-coniferous forests of Western Hungary (2010, methodology): “The explained variance by tree species, DBH and plot was analyzed by variation partitioning (Leps and Smilauer, 2003).”