2018
DOI: 10.1016/j.palaeo.2018.06.020
|View full text |Cite
|
Sign up to set email alerts
|

Analyzing trends in tropical Devonian brachiopod communities during environmental change in the Waterways Formation of northern Alberta

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2018
2018
2022
2022

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 33 publications
0
4
0
Order By: Relevance
“…As an ordination, NMDS arranges and then projects multidimensional data onto axes that can explain the relative amount of similarity/dissimilarity between data sets. Unlike other multivariate techniques (e.g., principal component analysis), NMDS does not assume linear relationships or normal distributions between data sets, and it is less sensitive to outliers and zero values (Bush & Brame, 2010; Dexter et al., 2018; Mendonca et al., 2018). Instead, NMDS uses an iterative method for creating ordination results, such that it does not make any assumptions about a linear relationship between data sets, and it can be performed using a variety of specialized distance/dissimilarity measures (e.g., Bray‐Curtis, Euclidean, and Jaccard) designed for specific types of data sets (e.g., Legendre & Legendre, 2012; Moreno et al., 2018).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…As an ordination, NMDS arranges and then projects multidimensional data onto axes that can explain the relative amount of similarity/dissimilarity between data sets. Unlike other multivariate techniques (e.g., principal component analysis), NMDS does not assume linear relationships or normal distributions between data sets, and it is less sensitive to outliers and zero values (Bush & Brame, 2010; Dexter et al., 2018; Mendonca et al., 2018). Instead, NMDS uses an iterative method for creating ordination results, such that it does not make any assumptions about a linear relationship between data sets, and it can be performed using a variety of specialized distance/dissimilarity measures (e.g., Bray‐Curtis, Euclidean, and Jaccard) designed for specific types of data sets (e.g., Legendre & Legendre, 2012; Moreno et al., 2018).…”
Section: Methodsmentioning
confidence: 99%
“…Including more dimensions in our analysis did not significantly change the groupings, but did decrease the stress value (Figures S1-S3 in Supporting Information S1). Choosing a greater number of dimensions, however, can decrease the amount of ecological variation captured on each axis (e.g., Mendonca et al, 2018). We thus report the NMDS analysis with two dimensions to optimally reflect the environmental relationships in our data set.…”
Section: General Groupings Observed From Nmdsmentioning
confidence: 99%
“…The methods employed in paleontological research are ideally determined by the goals of the study [1][2][3][4], but can also be influenced by locality and outcrop availability [5,6], lithology [7], funding or time limitations, or even researchers' specific expertise or traditions within the discipline. Previous work has sought to determine the most appropriate field methods [3,4,8,9], lab methods [2,8], and statistical techniques [4,10] to use in paleoecological research.…”
Section: Introductionmentioning
confidence: 99%
“…To understand ecological conditions of the past, paleontologists often compile faunal presence and abundance of fossil assemblages [1,11,12]. Irrespective of the specific goal of a paleoecological study, the taxonomic identifications and abundance counts used to determine fossil community distributions can be done in the field [e.g., 3,5,[13][14][15] or fossils can be collected and brought back to the lab [e.g., [16][17][18][19][20]. When collecting fossils to bring back to the lab, two different fossil collection methods are typically employed: (1) bulk collection of stratigraphically in-place fossil-containing sediment or rock, and (2) surface collection of loose, individual fossils that have weathered out of an outcrop.…”
Section: Introductionmentioning
confidence: 99%