Rarefaction Techniques Flashcards

(51 cards)

1
Q

What does classic rarefaction do?

A

Estimates true species richness from incomplete fossil record

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2
Q

How do you perform a classic rarefaction?

A

Put the total number of taxa into time or locality bins and use the most complete assemblage to infer total number of individuals which might be present.

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3
Q

What formula is used for classic rarefaction?

A

Hurlbert Formula.

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4
Q

What does a rarefaction curve show?

A

How species richness accumulates with increasing sampling effort

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5
Q

What R package is used to implement classic rarefaction?

A

Vegan

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6
Q

What is the issue with classic rarefaction when looking at morphological diversity?

A

Greater fossil record completeness might preserve more features for comparision.

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7
Q

Explain the core premise of new suggested rarefaction technique

A

Using fossil completness and morphological disparity instead of species richness rarefaction

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8
Q

What coefficient can be modified or employed for proposed completeness rarefaction?

A

Gower’s similarity coefficient

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9
Q

What is Gower’s similarity coefficient?

A

The number of shared applicable characters divided by the total number of characters where at least one is applicable to organisms being studied.

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10
Q

What is the result format of Gower’s similarity coefficient?

A

Numbers 0-1 with identical species being 1 and 0 implying zero similarity

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11
Q

Explain your new coefficient proposal

A

Take the total number of characters that are shared by the two species and divide by the shared charaters + total different characters that are present in both.

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12
Q

What is Shareholder Quorum Subsampling?

A

Coverage based rarefaction

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13
Q

What is another way to describe coverage based rarefaction?

A

Shareholder Quorum subsampling

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14
Q

How does coverage based rarefaction work?

A

Good coverage is when there are very few species known from an isolated occurrence. Poor coverage has many species known only from holotype.

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15
Q

What is TRiPS?

A

True Richness estimated by poission sampling

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16
Q

What is the principle of Poisson sampling?

A

Constant probability. Probability of a species being sampled remains constant in a temporal span.

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17
Q

What is a TRiPS richness estimation?

A

Inference of the number of species that must have existed to result in the number of fossils found

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18
Q

How do you carry out a TRiPS assessment?

A

Input the occurrence data, estimate the sampling rate for the time interval, calculate true species richness.

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19
Q

What is the estimated sampling rate in a TRiPS analysis?

A

Average number of fossils per species per interval.

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20
Q

What is the output from MrBayes?

A

Cladogram with the posterior probabilities for each split.

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21
Q

What programmes can the MrBayes file output be read by?

A

FigTree, TreeView and Mesquite

22
Q

What data types can MrBayes process?

A

DNA, RNA, Protein, binary, 0-9 morphology data.

23
Q

How do you specify the evolutionary model in MrBayes?

A

lset for structure of model. Prset for prior probability distributions.

24
Q

What model in MrBayes should be used for fossil data?

25
What is Tip Dating in MrBayes
Time Calibration
26
How do you use Tip Dating in MrBayes?
Use fossilised birth-death process (FBD) model for tree prior.
27
What is more resilliant to gaps in the fossil reccord than speciation and extinction events?
Functional trait evolution and morphological disparity
28
How do you build a morphometric dataset?
Use 2D standardised photos or 3D photogrammetry or CT scans to plot discrete landmarks.
29
What software can be used to digitise landmarks in morphometrics?
tpsDig or ImageJ
30
What is procrustes superimposition?
used to align and normalise shapes in morphometrics
31
What tools can be used to normalise shapes in morphometrics?
MorphoJ or the R packages geomorph or morpho.
32
Outline the steps for a morphometrics study.
Aquire images or 3d scans, digitise the landmarks, organise in clean data table, perform shape alignement (procrustes), visualise.
33
What does a principle component analysis do?
help to reduce dimensionality to reveal patterns in morphological innovation (morphometrics).
34
Which R package is used for time-calibrated phylogeny?
Paleotree
35
Which lineages could be studied to indicate whether there was divergence in pan-Amniota prior to synapsids and sauropsids diverging?
Temnospondyls, lepospondyls, embolmeres, anthracosaurs and other reptilomorphs.
36
What did Cavin & Forey suggest about the use of ghost lineages to make inferences?
During rapid speciation, ghost lineages would be short.
37
What habitat shift is thought to have prompted reliance on lungs instead of gills?
marine to freshwater
38
What are trait-dependent diversification models?
Designed to examine how specific traits influence the rates of speciation and extinction.
39
How can we examine how specific traits influence speciation and extinction?
Trait-dependent diversification models
40
List the 4 types of trait-dependent diversification models.
binary state (BiSSE), Multistate (MuSSE), Quantative (QuaMMSE), Hidden state (HiSSE).
41
What R package can be used to identify innovative traits from trait-dependent diversification models?
Diversitree
42
What does BiSSE stand for?
Binary state speciation and extinction (trait dependent diversification models).
43
How can you use ghost lineages to make inferences about apparent peaks in biodiversity?
Genuine peaks in biodiversity are accompanied by short ghost lineages. Baseline ghost lineages suggest sampling bias rather than true biodiversity increase.
44
If a more complete fossil reccord suggests higher rates of diversification than an incomplete fossil record, what does that imply?
Potential bias.
45
If diversity trends remain constant across fossil assemblages with different levels of completeness - what does that imply?
That relaible inference can be made from even a patchy reccord.
46
What could be used as a proxy clade for amniotes and/or tetrapods?
For amniotes, the temnospondyls, for all tetrapods it would need to be other terrestrial taxa such as arthropods.
47
What is the R package Phytools for?
Phylogenetic tree manipulation and visualisation. Trait evolution and ancestral state reconstruction. Phylomorphospace plotting
48
What is a phylogenetic generalised least square?
uses knowledge of phylogenetic relationships to produce an estimate of expected covariance in cross-species data.
49
What is meant by higher covariance?
Traits are expected to be more similar (have higher covariance) between species that are more closely related on a phylogenetic tree
50
How do you conduct a phylogenetic generalised least square in R?
Use a phylogenetic tree to model the correlation structure between species due to shared ancestry
51
Explain the difference between Parsimony and Bayesian approaches
Parsimony aims to find the simplest tree that requires the fewest evolutionary changes, Bayesian methods utilise probabilistic models of evolution and incorporate prior information to estimate the most likely tree topology