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Past Webinars


Schrödinger’s mammoth – ecological assembly in the age of humans

Speaker: Dr Kate Lyons

Date: 18th of April 2024

Recording: Please find a link to the recording here.

Scope: Ecologists have long been interested in how species assemble into communities. In particular, they are interested in how species traits, environmental factors, and biotic interactions affect species distributions, and membership and persistence in ecological communities. Determining whether assembly rules exist and what they are is particularly important in the face of ongoing climate change. However, despite decades of study, no clear consensus has emerged. In part because modern studies are limited by the short time scales over which they are able to collect data and by the fact that humans are incredibly successful ecosystem engineers who have affected almost every part of the planet. In contrast, paleontologists have been interested in the interplay between species traits and the environment, and how these relationships change over time in response to global forcing factors such as climate change. Increased knowledge of taphonomic processes has led to an understanding that fossil assemblages preserve reliable information about ecological communities and species interactions. By comparing the structure of these fossil assemblages with modern assemblages, we can begin to identify aspects of community structure that are similar across many taxonomic groups and across long time scales. We can also determine whether and how these patterns have changed with the increasing dominance of humans on the globe. Using a macroecological lens, I examine mammalian community structure over long and short time scales including metrics such as co-occurrence structure, body size distributions, and functional traits. I evaluate how these patterns change over time and with changes in global climate. Finally, I examine how some traits associated with extinction risk have changed over time and the consequences for ecological communities. I find that in paleoecological communities, there are consistent patterns over time in terms of co-occurrence structure, body size distributions, and extinction risk, but that many of these patterns change as human impacts increase including the role that functional traits play in mediating co-occurrence structure. These changes suggest that humans are fundamentally altering ecological communities and resetting ecological assembly rules. Paleontology has a key role to play in identifying the disruptions to assembly rules by humans and what that means for predicting how species are likely to respond to future climate change, habitat fragmentation and the loss of biotic interactions because of extinctions.


End-Permian Mass Extinction: Patterns, Processes, and Lessons for the 21st Century

Speaker: Prof Jonathan Payne

Date: 21st of March 2024

Recording: Please find a recording of the event here.

Scope: The end-Permian mass extinction, which occurred approximately 252 million years ago, was the most severe biodiversity crisis in the history of animal life. In the marine fossil record, about half of known animal families and 80% of genera were lost. Heavily calcified taxa with limited development of respiratory and circulatory systems are disproportionately represented among the victims. The geological record of the extinction interval contains chemical evidence, some based on newly developed proxies, of rapid global warming, ocean acidification, and ocean deoxygenation. High-precision age dating shows that eruption of the Siberian Traps large igneous province occurred during the extinction interval, providing a plausible mechanism for rapid and extreme environmental change. Earth system models can now replicate the environmental changes indicated by chemical proxies and the habitat space available to marine animals can be represented in these models based on a ratio of oxygen supply to metabolic demand. The model representation of biological response to global change predicts the observed gradient in extinction intensity from equator to pole, suggesting that temperature-induced hypoxia was a major direct cause of population collapse. Parallels between end-Permian and Anthropocene environmental changes can enable calibration of models designed to predict responses of the marine biosphere to environmental change anticipated over the next few centuries.

 

Extinction risk of reef corals, past and present

Speaker: Dr Wolfgang Kiessling

Date: 7th of March 2024

Recording: Please find a recording of the event here.

Scope: Coral reefs are under increasing pressure from direct human impacts and human-induced climate change. Reef corals are also thought to be at elevated extinction risk but estimates vary profoundly among studies. Works that use lost reef area as a proxy of coral population reduction tend to estimate high extinction risk, whereas approaches using estimates of coral population sizes advocate low extinction risk. The fossil record contributes to this discussion that (i) reef corals have low intrinsic extinction risk, (ii) the loss of reef area is a poor predictor of coral extinction rates, and (iii) reef coral extinction pulses were usually triggered by episodes of profound global warming. Taken together, the deep-time observations support that the current reef crisis is unlikely be develop into a coral mass extinction in the next century of so. In addition, the Red List categorization of reef coral conservation status does not align well with empirical extinctions of the near-time past.

 

Evolutionary History of Prey: 600 million years of Predator-Prey Interactions in Earth's Oceans

Speaker: Prof. Michał Kowalewski

Date: 15th of February 2024

Recording: Please find a recording of the event here.

Scope: Predation is not only one of the key ecological process shaping modern ecosystems, but may have also played an important role throughout the evolutionary history of animals. However, assessing biotic interactions in the fossil record is challenging. Fortuitously, in the marine fossil record, direct records of predatory attacks are provided by trace fossils (e.g., repair scars, bite marks, drill holes) left by predators on skeletons of their prey. A compilation of trace fossil data reveals long-term changes in the intensity and nature of predator-prey interactions in marine ecosystems. Despite numerous interpretative challenges, trace fossils indicate that intensity of predation and predator-prey body size relationships may have changed in a non-monotonic fashion throughout the evolutionary history of aquatic animals. These changes parallel long-term shifts in global biodiversity, faunal composition, and morphology of marine animals pointing to potential causative links between predation and long-term evolutionary and ecological changes in Earth’s oceans.

 

Quantifying Extinction by Quantifying Biodiversity

Speaker: Dr John Alroy

Date: 8th of February 2024

Recording: Please find a recording of the event here.

Scope: Saving biodiversity from extinction is of fundamental importance to people everywhere. Biodiversity must be quantified to demonstrate that mass extinctions have occurred. Diversity estimation turns out to be very difficult because most inventories of communities are too small to catch all of the species. The problem is so hard that researchers continue to use strongly disagreeing strategies. Most aren't helpful. For example, randomly drawing the data down to a least common denominator of data set size (rarefaction) only yields relative diversity estimates. Like most approaches, it is highly inaccurate when most individuals belong to just a few species (so a distribution is uneven). Hill numbers such as Shannon's H and Simpson's D are designed to overweight evenness and minimise the signal of richness. Simple equations called richness indices, such as Chao 1, usually just don't work. I discuss two good solutions to the problem. First, I use simple algebra to derive an equation called the geometric series index. Applying it to a large set of species inventories shows that it has no sample size bias. Second, I discuss properties of an unpublished model of relative abundances that also yields richness estimates. These too are unbiased, but more precise. The distribution is simple, has good theoretical properties, and describes real data accurately. It therefore seems to describe the population dynamics of most ecological communities. The field of biodiversity estimation has been at an impasse for many decades, hindering our understanding of mass extinctions - but unification of the field now seems possible.