Dr. Van Savage

Bio:

I am a Professor in the Ecology and Evolutionary Biology and Biomathematics departments. A major goal of my research is to quantify and understand the possible functions, forms, and interactions of biological systems that result in the extraordinary diversity in nature. I have studied a wide range of areas such as metabolic scaling, consumer-resource interactions, rates of evolution, effects of global warming on ecosystems, tumor growth, and sleep. Complementary to this, I aim to understand how much variation around optima or averages is considered healthy or adaptive versus diseased or disturbed states, which are essentially deviations from normal or sustainable functioning. As I attempt to make progress on these questions, I join together ecology, evolutionary theory, physiology, mathematical modeling, image-analysis software, informatics, and biomedical sciences. Many theories, including some of my work, focus on optimal or average properties, but more recently, I have been working to obtain the large amounts of data necessary to characterize variation in key properties. My new findings about the diversity and variation in form and function are revealing flaws in current models, and I am working to develop new theories that incorporate realistic amounts of natural variation.

Abstract:

The question of which factors contribute to ecosystem and food webs stability is one of the most fundamental and foundational in all of ecology. Here I present findings from a new numerical model that allows us to include or exclude different potential factors, and I interpret these results using a novel method that examines how stability and connectance change with consumer-resource size ratios. In this way we are able to compare our predictions and model with empirically grounded data and known trends. Consequently, we are also able to study how variation in size distributions within food webs overall impact the stability of food webs. These results are followed by a more analytical mathematical treatment of how eigenvalue distributions—directly related to system stability—change depending on the structure of the interaction matrix. As part of this, I review and revisit seminal work by Robert May and Stefano Allesina, and connect with and synthesize some lesser known theorems from linear algebra to illuminate and understand some of the results from our numerical model. Finally, I talk about how this work might be extended to consider the impacts of increasing or fluctuating temperatures due to climate change, and possible directions for enlarging and extending the

mathematical concept of stability to something closer to its ecological meaning.

Dr. Van Savage

Bio:

I am a Professor in the Ecology and Evolutionary Biology and Biomathematics departments. A major goal of my research is to quantify and understand the possible functions, forms, and interactions of biological systems that result in the extraordinary diversity in nature. I have studied a wide range of areas such as metabolic scaling, consumer-resource interactions, rates of evolution, effects of global warming on ecosystems, tumor growth, and sleep. Complementary to this, I aim to understand how much variation around optima or averages is considered healthy or adaptive versus diseased or disturbed states, which are essentially deviations from normal or sustainable functioning. As I attempt to make progress on these questions, I join together ecology, evolutionary theory, physiology, mathematical modeling, image-analysis software, informatics, and biomedical sciences. Many theories, including some of my work, focus on optimal or average properties, but more recently, I have been working to obtain the large amounts of data necessary to characterize variation in key properties. My new findings about the diversity and variation in form and function are revealing flaws in current models, and I am working to develop new theories that incorporate realistic amounts of natural variation.

Abstract:

The question of which factors contribute to ecosystem and food webs stability is one of the most fundamental and foundational in all of ecology. Here I present findings from a new numerical model that allows us to include or exclude different potential factors, and I interpret these results using a novel method that examines how stability and connectance change with consumer-resource size ratios. In this way we are able to compare our predictions and model with empirically grounded data and known trends. Consequently, we are also able to study how variation in size distributions within food webs overall impact the stability of food webs. These results are followed by a more analytical mathematical treatment of how eigenvalue distributions—directly related to system stability—change depending on the structure of the interaction matrix. As part of this, I review and revisit seminal work by Robert May and Stefano Allesina, and connect with and synthesize some lesser known theorems from linear algebra to illuminate and understand some of the results from our numerical model. Finally, I talk about how this work might be extended to consider the impacts of increasing or fluctuating temperatures due to climate change, and possible directions for enlarging and extending the

mathematical concept of stability to something closer to its ecological meaning.

Dr. Van Savage

Bio:

I am a Professor in the Ecology and Evolutionary Biology and Biomathematics departments. A major goal of my research is to quantify and understand the possible functions, forms, and interactions of biological systems that result in the extraordinary diversity in nature. I have studied a wide range of areas such as metabolic scaling, consumer-resource interactions, rates of evolution, effects of global warming on ecosystems, tumor growth, and sleep. Complementary to this, I aim to understand how much variation around optima or averages is considered healthy or adaptive versus diseased or disturbed states, which are essentially deviations from normal or sustainable functioning. As I attempt to make progress on these questions, I join together ecology, evolutionary theory, physiology, mathematical modeling, image-analysis software, informatics, and biomedical sciences. Many theories, including some of my work, focus on optimal or average properties, but more recently, I have been working to obtain the large amounts of data necessary to characterize variation in key properties. My new findings about the diversity and variation in form and function are revealing flaws in current models, and I am working to develop new theories that incorporate realistic amounts of natural variation.

Abstract:

The question of which factors contribute to ecosystem and food webs stability is one of the most fundamental and foundational in all of ecology. Here I present findings from a new numerical model that allows us to include or exclude different potential factors, and I interpret these results using a novel method that examines how stability and connectance change with consumer-resource size ratios. In this way we are able to compare our predictions and model with empirically grounded data and known trends. Consequently, we are also able to study how variation in size distributions within food webs overall impact the stability of food webs. These results are followed by a more analytical mathematical treatment of how eigenvalue distributions—directly related to system stability—change depending on the structure of the interaction matrix. As part of this, I review and revisit seminal work by Robert May and Stefano Allesina, and connect with and synthesize some lesser known theorems from linear algebra to illuminate and understand some of the results from our numerical model. Finally, I talk about how this work might be extended to consider the impacts of increasing or fluctuating temperatures due to climate change, and possible directions for enlarging and extending the

mathematical concept of stability to something closer to its ecological meaning.

Dr. Jessica Blois | Blois Lab

BIO:

Dr. Jessica Blois is an Associate Professor in the Department of Life and Environmental Sciences at UC Merced. Her research is particularly focused on examining the relative roles of environmental versus biotic drivers of biodiversity change, in merging data from different kinds of fossil proxies such as mammal bones and plant macrofossils, and in applying perspectives from the past to help conserve biodiversity. Her work combines field work aimed at broadening our samples of fossil and modern mammals, phylogeographic analyses to understand how genetic diversity is structured spatiotemporally, and paleobiogeographic modeling. Dr. Blois’ primary study system is North American mammals from the past 21,000 years, and she also has a strong focus on developing the paleo-informatic infrastructure to enable large-scale science.

Abstract:

Climates today are changing substantially and will continue to do so over the next hundred years and beyond. All of the different elements that comprise Earth’s biosphere—its biodiversity—depend on and respond to Earth’s climate in a variety of ways, and in turn, Earth’s biodiversity modulates the magnitude and trajectory of climate change. Species responses to highly novel climatic (and other anthropogenically-forced) conditions—which may fall outside the range of conditions experienced by species over their histories—will impact the adaptive capacity and evolutionary potential of species and shape future patterns of biodiversity. In this talk, I will present several recent projects illustrating how climate impacts biodiversity. I will focus on ecological processes that structure local populations and communities, and then move towards how we can scale up towards a broader understanding of how ecological processes structure biodiversity patterns across space and time.

Watch the seminar here!

Dr. Jessica Blois | Blois Lab

BIO:

Dr. Jessica Blois is an Associate Professor in the Department of Life and Environmental Sciences at UC Merced. Her research is particularly focused on examining the relative roles of environmental versus biotic drivers of biodiversity change, in merging data from different kinds of fossil proxies such as mammal bones and plant macrofossils, and in applying perspectives from the past to help conserve biodiversity. Her work combines field work aimed at broadening our samples of fossil and modern mammals, phylogeographic analyses to understand how genetic diversity is structured spatiotemporally, and paleobiogeographic modeling. Dr. Blois’ primary study system is North American mammals from the past 21,000 years, and she also has a strong focus on developing the paleo-informatic infrastructure to enable large-scale science.

Abstract:

Climates today are changing substantially and will continue to do so over the next hundred years and beyond. All of the different elements that comprise Earth’s biosphere—its biodiversity—depend on and respond to Earth’s climate in a variety of ways, and in turn, Earth’s biodiversity modulates the magnitude and trajectory of climate change. Species responses to highly novel climatic (and other anthropogenically-forced) conditions—which may fall outside the range of conditions experienced by species over their histories—will impact the adaptive capacity and evolutionary potential of species and shape future patterns of biodiversity. In this talk, I will present several recent projects illustrating how climate impacts biodiversity. I will focus on ecological processes that structure local populations and communities, and then move towards how we can scale up towards a broader understanding of how ecological processes structure biodiversity patterns across space and time.

Watch the seminar here!

Dr. Jessica Blois | Blois Lab

BIO:

Dr. Jessica Blois is an Associate Professor in the Department of Life and Environmental Sciences at UC Merced. Her research is particularly focused on examining the relative roles of environmental versus biotic drivers of biodiversity change, in merging data from different kinds of fossil proxies such as mammal bones and plant macrofossils, and in applying perspectives from the past to help conserve biodiversity. Her work combines field work aimed at broadening our samples of fossil and modern mammals, phylogeographic analyses to understand how genetic diversity is structured spatiotemporally, and paleobiogeographic modeling. Dr. Blois’ primary study system is North American mammals from the past 21,000 years, and she also has a strong focus on developing the paleo-informatic infrastructure to enable large-scale science.

Abstract:

Climates today are changing substantially and will continue to do so over the next hundred years and beyond. All of the different elements that comprise Earth’s biosphere—its biodiversity—depend on and respond to Earth’s climate in a variety of ways, and in turn, Earth’s biodiversity modulates the magnitude and trajectory of climate change. Species responses to highly novel climatic (and other anthropogenically-forced) conditions—which may fall outside the range of conditions experienced by species over their histories—will impact the adaptive capacity and evolutionary potential of species and shape future patterns of biodiversity. In this talk, I will present several recent projects illustrating how climate impacts biodiversity. I will focus on ecological processes that structure local populations and communities, and then move towards how we can scale up towards a broader understanding of how ecological processes structure biodiversity patterns across space and time.

Watch the seminar here!

Dr. Jessica Blois | Blois Lab

BIO:

Dr. Jessica Blois is an Associate Professor in the Department of Life and Environmental Sciences at UC Merced. Her research is particularly focused on examining the relative roles of environmental versus biotic drivers of biodiversity change, in merging data from different kinds of fossil proxies such as mammal bones and plant macrofossils, and in applying perspectives from the past to help conserve biodiversity. Her work combines field work aimed at broadening our samples of fossil and modern mammals, phylogeographic analyses to understand how genetic diversity is structured spatiotemporally, and paleobiogeographic modeling. Dr. Blois’ primary study system is North American mammals from the past 21,000 years, and she also has a strong focus on developing the paleo-informatic infrastructure to enable large-scale science.

Abstract:

Climates today are changing substantially and will continue to do so over the next hundred years and beyond. All of the different elements that comprise Earth’s biosphere—its biodiversity—depend on and respond to Earth’s climate in a variety of ways, and in turn, Earth’s biodiversity modulates the magnitude and trajectory of climate change. Species responses to highly novel climatic (and other anthropogenically-forced) conditions—which may fall outside the range of conditions experienced by species over their histories—will impact the adaptive capacity and evolutionary potential of species and shape future patterns of biodiversity. In this talk, I will present several recent projects illustrating how climate impacts biodiversity. I will focus on ecological processes that structure local populations and communities, and then move towards how we can scale up towards a broader understanding of how ecological processes structure biodiversity patterns across space and time.

Watch the seminar here!

Dr. Tesla Monson | Monson Lab

BIO:

Dr. Tesla Monson is an Assistant Professor of Anthropology at Western Washington University where she runs the Primate Evolution Lab. Her lab’s research focuses on the evolution of skeletal variation, life history, and reproduction in extant and fossil mammals. Dr. Monson recently published the first methods for reconstructing prenatal growth rates in the fossil record, one of which relies exclusively on teeth. Dr. Monson earned her PhD in Integrative Biology at UC Berkeley (2017), which is where she first became interested in science communication and research. Since then, she has developed and hosted a series of sci-comm projects, ranging from a science talk radio program called The Graduates, to a Twitter series highlighting the influence of women in early Washington State history (Washington Women).

Abstract:

The vertebrate fossil record is comprised almost entirely of the remains of bones and teeth. It is thus a key goal for evolutionary biologists to extract as much information as possible from these anatomical remains through morphological investigation. My research has demonstrated that there are significant phenotypic correlations between many anatomical traits, as well as between craniodental morphology and life history. These correlations both constrain and enable evolution, leading to the morphological diversity and disparity that we see today. In this talk, I will discuss our new research using cranial and dental morphology to reconstruct prenatal growth rates in

the hominid fossil record. Prenatal growth, or how quickly a fetus grows in utero, varies widely across primate species with the highest rate in humans. We recently demonstrated that prenatal growth rates increased throughout the Pleistocene, reaching ‘human-like’ rates just under 1 million years ago, before the evolution of our species. Prenatal growth is also key to healthy pregnancy and delivery. I will end by presenting some of our ongoing and future research investigating prenatal growth, and the evolution of encephalization and body size in primates.

"Fossil teeth reveal how brains developed in utero over millions of years of human evolution-new research"

Watch the seminar here!

Dr. Tesla Monson | Monson Lab

BIO:

Dr. Tesla Monson is an Assistant Professor of Anthropology at Western Washington University where she runs the Primate Evolution Lab. Her lab’s research focuses on the evolution of skeletal variation, life history, and reproduction in extant and fossil mammals. Dr. Monson recently published the first methods for reconstructing prenatal growth rates in the fossil record, one of which relies exclusively on teeth. Dr. Monson earned her PhD in Integrative Biology at UC Berkeley (2017), which is where she first became interested in science communication and research. Since then, she has developed and hosted a series of sci-comm projects, ranging from a science talk radio program called The Graduates, to a Twitter series highlighting the influence of women in early Washington State history (Washington Women).

Abstract:

The vertebrate fossil record is comprised almost entirely of the remains of bones and teeth. It is thus a key goal for evolutionary biologists to extract as much information as possible from these anatomical remains through morphological investigation. My research has demonstrated that there are significant phenotypic correlations between many anatomical traits, as well as between craniodental morphology and life history. These correlations both constrain and enable evolution, leading to the morphological diversity and disparity that we see today. In this talk, I will discuss our new research using cranial and dental morphology to reconstruct prenatal growth rates in

the hominid fossil record. Prenatal growth, or how quickly a fetus grows in utero, varies widely across primate species with the highest rate in humans. We recently demonstrated that prenatal growth rates increased throughout the Pleistocene, reaching ‘human-like’ rates just under 1 million years ago, before the evolution of our species. Prenatal growth is also key to healthy pregnancy and delivery. I will end by presenting some of our ongoing and future research investigating prenatal growth, and the evolution of encephalization and body size in primates.

"Fossil teeth reveal how brains developed in utero over millions of years of human evolution-new research"

Watch the seminar here!

Dr. Tesla Monson | Monson Lab

BIO:

Dr. Tesla Monson is an Assistant Professor of Anthropology at Western Washington University where she runs the Primate Evolution Lab. Her lab’s research focuses on the evolution of skeletal variation, life history, and reproduction in extant and fossil mammals. Dr. Monson recently published the first methods for reconstructing prenatal growth rates in the fossil record, one of which relies exclusively on teeth. Dr. Monson earned her PhD in Integrative Biology at UC Berkeley (2017), which is where she first became interested in science communication and research. Since then, she has developed and hosted a series of sci-comm projects, ranging from a science talk radio program called The Graduates, to a Twitter series highlighting the influence of women in early Washington State history (Washington Women).

Abstract:

The vertebrate fossil record is comprised almost entirely of the remains of bones and teeth. It is thus a key goal for evolutionary biologists to extract as much information as possible from these anatomical remains through morphological investigation. My research has demonstrated that there are significant phenotypic correlations between many anatomical traits, as well as between craniodental morphology and life history. These correlations both constrain and enable evolution, leading to the morphological diversity and disparity that we see today. In this talk, I will discuss our new research using cranial and dental morphology to reconstruct prenatal growth rates in

the hominid fossil record. Prenatal growth, or how quickly a fetus grows in utero, varies widely across primate species with the highest rate in humans. We recently demonstrated that prenatal growth rates increased throughout the Pleistocene, reaching ‘human-like’ rates just under 1 million years ago, before the evolution of our species. Prenatal growth is also key to healthy pregnancy and delivery. I will end by presenting some of our ongoing and future research investigating prenatal growth, and the evolution of encephalization and body size in primates.

"Fossil teeth reveal how brains developed in utero over millions of years of human evolution-new research"

Watch the seminar here!