Mass extinction events and the plant fossil record

2007 ◽  
Vol 22 (10) ◽  
pp. 548-557 ◽  
Author(s):  
Jennifer C. McElwain ◽  
Surangi W. Punyasena
Keyword(s):  
Mass Extinction ◽  
Fossil Record ◽  
Plant Fossil ◽  
Extinction Events ◽  
Mass Extinction Events

Evidence for extinction selectivity throughout the marine invertebrate fossil record

Paleobiology ◽  
2009 ◽  
Vol 35 (4) ◽  
pp. 553-564 ◽  
Author(s):  
G. Alex Janevski ◽  
Tomasz K. Baumiller
Keyword(s):  
Species Richness ◽  
Mass Extinction ◽  
Fossil Record ◽  
Marine Invertebrate ◽  
Species Level ◽  
Geologic History ◽  
Extinction Selectivity ◽  
Extinction Events ◽  
Open Question ◽  
Mass Extinction Events

The fossil record has been used to show that in some geologic intervals certain traits of taxa may increase their survivability, and therefore that the risk of extinction is not randomly distributed among taxa. It has also been suggested that traits that buffer against extinction in background times do not confer the same resistance during mass extinction events. An open question is whether at any time in geologic history extinction probabilities were randomly distributed among taxa. Here we use a method for detecting random extinction to demonstrate that during both background and mass extinction times, extinction of marine invertebrate genera has been nonrandom with respect to species richness categories of genera. A possible cause for this nonrandom extinction is selective clustering of extinctions in genera consisting of species which possess extinction-biasing traits. Other potential causes considered here include geographic selectivity, increased extinction susceptibility for species in species-rich genera, or biases related to taxonomic practice and/or sampling heterogeneity. An important theoretical result is that extinction selectivity at the species level cannot be smoothly extrapolated upward to genera; the appearance of random genus extinction with respect to species richness of genera results when extinction has been highly selective at the species level.

Mass extinctions alter extinction and origination dynamics with respect to body size

2021 ◽  
Vol 288 (1960) ◽  
Author(s):  
Pedro M. Monarrez ◽  
Noel A. Heim ◽  
Jonathan L. Payne
Keyword(s):  
Body Size ◽  
Mass Extinction ◽  
Evolutionary Biology ◽  
Marine Animal ◽  
Mass Extinctions ◽  
Extinction Selectivity ◽  
Extinction Events ◽  
Mass Extinction Events ◽  
Marine Biosphere

Whether mass extinctions and their associated recoveries represent an intensification of background extinction and origination dynamics versus a separate macroevolutionary regime remains a central debate in evolutionary biology. The previous focus has been on extinction, but origination dynamics may be equally or more important for long-term evolutionary outcomes. The evolution of animal body size is an ideal process to test for differences in macroevolutionary regimes, as body size is easily determined, comparable across distantly related taxa and scales with organismal traits. Here, we test for shifts in selectivity between background intervals and the ‘Big Five’ mass extinction events using capture–mark–recapture models. Our body-size data cover 10 203 fossil marine animal genera spanning 10 Linnaean classes with occurrences ranging from Early Ordovician to Late Pleistocene (485–1 Ma). Most classes exhibit differences in both origination and extinction selectivity between background intervals and mass extinctions, with the direction of selectivity varying among classes and overall exhibiting stronger selectivity during origination after mass extinction than extinction during the mass extinction. Thus, not only do mass extinction events shift the marine biosphere into a new macroevolutionary regime, the dynamics of recovery from mass extinction also appear to play an underappreciated role in shaping the biosphere in their aftermath.

scholarly journals Nature's Design's: The Biology of Survival

2019 ◽  
Vol 301 ◽  
pp. 00023
Author(s):  
Pam Mantri ◽  
John Thomas
Keyword(s):  
Mass Extinction ◽  
Evolutionary Design ◽  
Bacterial Flagellum ◽  
Biotic Crisis ◽  
Rotary Engine ◽  
Systems Perspective ◽  
Complex Adaptive ◽  
Extinction Events ◽  
Mass Extinction Events

Life has existed on earth for at least 3.95 billion years. All along, the flame of life has been successfully passed on from generation to generation, and species to species across an immense temporal span. This includes at least five mass-extinction events that wiped out over 70% of all species in each such biotic crisis. Against such immense odds, life has learned to thrive despite repeat assaults. And the ingenuity embedded within natures designs has been an integral part of this inspiring story. For example, the ancient bacterial flagellum is powered by the Mot Complex which is part of a perfectly circular nanoscale rotary engine. It is obvious that nature came upon the wheel much before human arrival (i.e., at least as far back as 2.7 billion years). Many are the design lessons that may be gleaned from studying nature. This paper looks at the immense evolutionary design-laboratory that nature evolves its designs within, and frames it along side an Axiomatic/Complex-Adaptive/Stigmergic Systems perspective.

scholarly journals The plant fossil record reflects just two great extinction events

Terra Nova ◽  
2013 ◽  
Vol 26 (3) ◽  
pp. 195-200 ◽  
Author(s):  
Borja Cascales-Miñana ◽  
Christopher J. Cleal
Keyword(s):  
Fossil Record ◽  
Plant Fossil ◽  
Extinction Events

Incumbent replacement: evidence for long-term evolutionary progress

Paleobiology ◽  
1991 ◽  
Vol 17 (3) ◽  
pp. 202-213 ◽  
Author(s):  
Michael L. Rosenzweig ◽  
Robert D. McCord
Keyword(s):  
Mass Extinction ◽  
Extinction Rate ◽  
Trade Off ◽  
Evolutionary Progress ◽  
The North ◽  
Pure Chance ◽  
S Curve ◽  
Extinction Events ◽  
Mass Extinction Events

Evolutionary progress is a trend that relaxes trade-off rules. It begins with the evolution of a key adaptation. It continues with the spread of the key adaptation as the clade that contains it replaces some older clade that lacks it. Key adaptations are those that allow for improvement in at least one organismal function at a reduced fitness cost in other functions.Replacement almost certainly involves more than pure chance. It may not often involve competitive extinction. Instead, species from the new clade produce new species to replace already extinct species from the old clade. The key adaptation gives them a higher competitive speciation rate than old-clade sources of replacement. The process, termed incumbent replacement, proceeds at a rate limited by extinction rate. Thus, replacement often seems linked to mass extinction events.The incumbent-replacement hypothesis explains what we know about the replacement of straight-neck turtles (Amphichelydia) by those that can flex their necks and protect their heads in their shells. This replacement occurred four or five times in different biotic provinces. It happened as long ago as the Cretaceous in Eurasia, and as recently as the Pleistocene in mainland Australia. It was accomplished in Gondwanaland by turtles flexing their necks sideways (Pleurodira), and in the north by those flexing their necks into an S-curve (Cryptodira). As is typical of replacements, amphichelydian replacement took millions of years to accomplish wherever it occurred, and much of it in North America took place in a burst associated with and immediately subsequent to a mass extinction.

Estimating the number of pulses in a mass extinction

Paleobiology ◽  
2018 ◽  
Vol 44 (2) ◽  
pp. 199-218 ◽  
Author(s):  
Steve C. Wang ◽  
Ling Zhong
Keyword(s):  
Mass Extinction ◽  
Fossil Record ◽  
Nearest Neighbor ◽  
Hypothesis Test ◽  
Information Criterion ◽  
Data Set ◽  
Recovery Potential ◽  
Step Algorithm ◽  
Extinction Events ◽  
Fossil Preservation

AbstractThe Signor-Lipps effect states that even a sudden mass extinction will invariably appear gradual in the fossil record, due to incomplete fossil preservation. Most previous work on the Signor–Lipps effect has focused on testing whether taxa in a mass extinction went extinct simultaneously or gradually. However, many authors have proposed scenarios in which taxa went extinct in distinct pulses. Little methodology has been developed for quantifying characteristics of such pulsed extinction events. Here we introduce a method for estimating the number of pulses in a mass extinction, based on the positions of fossil occurrences in a stratigraphic section. Rather than using a hypothesis test and assuming simultaneous extinction as the default, we reframe the question by asking what number of pulses best explains the observed fossil record.Using a two-step algorithm, we are able to estimate not just the number of extinction pulses but also a confidence level or posterior probability for each possible number of pulses. In the first step, we find the maximum likelihood estimate for each possible number of pulses. In the second step, we calculate the Akaike information criterion and Bayesian information criterion weights for each possible number of pulses, and then apply ak-nearest neighbor classifier to these weights. This method gives us a vector of confidence levels for the number of extinction pulses—for instance, we might be 80% confident that there was a single extinction pulse, 15% confident that there were two pulses, and 5% confident that there were three pulses. Equivalently, we can state that we are 95% confident that the number of extinction pulses is one or two. Using simulation studies, we show that the method performs well in a variety of situations, although it has difficulty in the case of decreasing fossil recovery potential, and it is most effective for small numbers of pulses unless the sample size is large. We demonstrate the method using a data set of Late Cretaceous ammonites.

Taxonomic survivorship and morphologic complexity in Paleozoic bryozoan genera

Paleobiology ◽  
1978 ◽  
Vol 4 (4) ◽  
pp. 407-418 ◽  
Author(s):  
Robert L. Anstey
Keyword(s):  
Mass Extinction ◽  
Extinction Rate ◽  
Apparent Correlation ◽  
Complex Forms ◽  
Extinction Events ◽  
Mass Extinction Events

The shape of bryozoan taxonomic survivorship curves is strongly influenced both by grade of morphologic complexity and by mass extinction. Paleozoic bryozoan genera that are morphologically simple have linear taxonomic survivorship; morphologically intermediate taxa have slightly concave survivorship, and complex forms have very concave survivorship. Increasing morphologic complexity, and by inference, increasing specialization of adaptation appear to accompany a systematic departure from a stochastically constant extinction rate. However, the extinctions of the complex taxa are entirely concentrated during three mass extinction events, whereas the extinctions of the simple taxa are more uniformly distributed throughout the Paleozoic; the extinction pattern of the morphologically intermediate taxa is intermediate to those of the simple and complex groups. Exclusion of the genera affected by mass extinction increases the convexity of the survivorship curves, and reverses the apparent correlation of extinction rate with morphologic complexity. The macroevolutionary pattern of the complex genera resembles an r-strategy, whereas that of the simple taxa resembles a K-strategy.

scholarly journals Identifying the most surprising victims of mass extinction events: an example using Late Ordovician brachiopods

2017 ◽  
Vol 13 (9) ◽  
pp. 20170400 ◽  
Author(s):  
Seth Finnegan ◽  
Christian M. Ø. Rasmussen ◽  
David A. T. Harper
Keyword(s):  
Deep Water ◽  
Mass Extinction ◽  
Late Ordovician ◽  
Extinction Rate ◽  
Simple Method ◽  
Training Models ◽  
Extinction Event ◽  
Extinction Events ◽  
Mass Extinction Events

Mass extinction events are recognized by increases in extinction rate and magnitude and, often, by changes in the selectivity of extinction. When considering the selective fingerprint of a particular event, not all taxon extinctions are equally informative: some would be expected even under a ‘background’ selectivity regime, whereas others would not and thus require special explanation. When evaluating possible drivers for the extinction event, the latter group is of particular interest. Here, we introduce a simple method for identifying these most surprising victims of extinction events by training models on background extinction intervals and using these models to make per-taxon assessments of ‘expected’ risk during the extinction interval. As an example, we examine brachiopod genus extinctions during the Late Ordovician Mass Extinction and show that extinction of genera in the deep-water ‘ Foliomena fauna’ was particularly unexpected given preceding Late Ordovician extinction patterns.

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