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Marc Mangel's Home Page
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* [12]Lab Photos
Interests
I am Distinguished Professor of Mathematical Biology Emeritus in the Department
of Applied Mathematics at the University of California Santa Cruz and Professor
of Biology Emeritus in the Theoretical Ecology Group ([13]Visit the TEG) at the
University of Bergen, Norway. In my first job out of graduate school, I worked
for the Operations Evaluation Group (OEG, [14]OEG) of the Center for Naval
Analyses doing operations research for the Navy. I moved to UC Davis in 1980 with
the intention of doing OEG-style work, but with applications to fisheries and
agriculture, and to UC Santa Cruz in 1996. I retired from formal teaching and
administrative work in 2013 but continued an active research program with
extramural grant support through 2022 and continue to do research. I am broadly
interested in using mathematical methods to solve problems that arise in biology
(especially ecology, evolution, and behavior) and work in what Donald Stokes
called, in a wonderful book of the same name, Pasteur's Quadrant of use-inspired
research, where a search for fundamental understanding is motivated by an
important applied problem
Current Research Projects
In addition to a long-standing collaborative project on reproductive biology of
rockfish species, I have three current research projects.
Modeling he Organism in Its World : It is my opinion that state dependent life
history theory as implemented by stochastic dynamic programming (and illustrated
in my books and papers) will remain a very powerful tool for understanding the
behavior of organisms in their worlds. At the same time, it is not likely that
organisms do stochastic dynamic programming in their brains, and for many years I
have collaborated with colleagues at the University of Bergen to seek alternative
methods with higher fidelity to nature for modeling how organims make decisions.
Some of the papers on this topic are
[15]2003 Giske, J., Mangel, M., Jakobsen, P., Huse, G., Wilcox, C. and E. Strand.
Explicit trade-off rules in proximate adaptive agents. Evolutionary Ecology
Reseach 5:835-865.
[16]2013 Giske, J., Eliassen, S., Fiksen, O., Jakobsen, P.J., Aksnes, D.L.,
Jorgensen, C., and M. Mangel. Effects of the emotion system on adaptive behavior.
The American Naturalist 182:689-703
[17]2014 Giske,J., Eliassen, S., Fiksen,O., Jakobsen, P.J., Aksnes,D.L., Mangel,
M. and C. Jorgensen The emotion system promotes diversity and evolvability.
Proceedings of the Royal Society B 281 20141096
and (which is the best introduction to our work)
[18]2019 Budaev, S., Jorgensen, C., Mangel, M., Eliassen, S., and J. Giske.
Decision-making from the animal perspective: Bridging ecology and subjective
cognition. Frontiers in Ecology and Evolution. May 2019, Volume 7, Article 164.
There are many other papers on this topic on which I am not a co-author; they can
be found at the ([19]web site of the Theoretical Ecology Group in Bergen ).
I am working on a new version of the models with the goal of simplifying the
computational methods in order to make them more generally accessible and
applying the approach to a wider variety of organisms (including plants) to help
people see the broad sweep of these ideas. My first motivation is habitat
selection, with desert isopods as a motivating species; my second motivation is
octopuses. I am deep into the modeling work on isopod habitat selection and
learning about octopuses. In addition, with colleagues in Bergen, I am part of a
team developing a digital twin for salmon. This work started in summer 2023, so
stay tuned for results.
Seabirds as Samplers: The Inverse Behavioral/Life History Problem for Fishery
Management Assessing the current status of a fish stock will always be important
for determining catch levels in fisheries. It is my opinion that advanced
statistical methods will continue to play important roles for this question.
However, there are also opportunities to explore novel approaches. One of these
is the inverse behaviorial and life history problem. The basic idea is that with
a life history model, we specify the environment and use methods such as state
dependent life history to predict behavior and life history transitions. The
inverse problem consists of starting with the behavior or life history
transitions and inferring the environment from these, by comparing model
predictions from different environments with the observations. An example of this
is, concerning the rate of natural mortality, is this:
[20]2017 Mangel, M. The inverse life-history problem, size-dependent mortality
and two extensions of results of Holt and Beverton. Fish and Fisheries. DOI:
10.1111/faf.12247
I am now developing methods to infer the abundance of food in a three patch
model. This work also started in summer 2023, so results to come.
Population Biology and Cybersecurity : Between 2018 and 2023 , I collaborated
with colleagues at the Johns Hopkins University Applied Physics Laboratory on
using models from population biology to inform various aspects of cyber-security.
In June 2020, like many of my colleagues, I worked with colleagues at APL think
about testing for covid-19, both at APL and in Howard County, MD (where APL is
located) more generally. They cyber work with APL colleagues has appeared here:
[21]2021 Mangel, M. and J. McEver. Modeling coupled nonlinear multilayered
dynamics: Cyber attack and disruption of an electric grid. Complexity Research
Article Modeling Coupled Nonlinear Multilayered Dynamics: Cyber Attack and
Disruption of an Electric Grid doi.org/10.1155/2021/5584123
[22]2022 Mangel, M. and A. Brown. Population processes in cyber system
variability. PLoS ONE 17(12): e0279100. doi 10.1371/journal/pone.0279100
I am also writing a book for World Scientific Publications on population biology
and cyber security.
The covid-19 work appeared as two APL reports and a journal article:
[23]2021 Brown, A. and M. Mangel. Operational Analysis for Coronavirus Testing.
Recommendations for Practice. Report, National Security Analysis Division, Johns
Hopkins University Applied Physics Laboratory
[24]2021 Mangel, M. and A. Brown. Operational Analysis for Coronavirus Testsing.
Report, National Security Analysis Division, Johns Hopkins University Applied
Physics Laboratory
[25]2023 Mangel, M. COVID-19. PLos ONE 18(2) e0281710 doi
10.1371/journal/pone.0281710
My Approach to Mathematical Biology
I use mathematical models, experiments, and field observations to understand
organisms and how interact with each other and the rest of the environment. I
have worked on a variety of systems, including insect parasitoids, tephritid
fruit flies, marine mammals, southern ocean krill, steelhead trout, Pacific
rockfish, and planaria. You can find out more details about what I have done by
looking at my publications page.
Contact Information
Department of Applied Mathematics
University of California
Santa Cruz, CA 95064
Email: [26]msmangel@ucsc.edu
[27]Publications
[28]Research
[29]Biography
[30]Research group
[31]CSTAR
[32]Courses
[33]Religion and Science
[34]Consulting
[35]Books [36]Miscellaneous
skrbl now
[manypics.jpg]
[37]Home [38]Publication [39]Research [40]Biography [41]Research group [42]CSTAR
[43]Courses [44]Religion and Science [45]Consulting [46]Books [47]Miscellaneous
References
1. https://users.soe.ucsc.edu/~msmangel/index.html
2. https://users.soe.ucsc.edu/~msmangel/pubs1.html
3. https://users.soe.ucsc.edu/~msmangel/research.htm
4. https://users.soe.ucsc.edu/~msmangel/cv.htm
5. https://users.soe.ucsc.edu/~msmangel/training.htm
6. https://users.soe.ucsc.edu/~msmangel/CSTAR.html
7. https://users.soe.ucsc.edu/~msmangel/course.htm
8. https://users.soe.ucsc.edu/~msmangel/religion.htm
9. https://users.soe.ucsc.edu/~msmangel/consulting.htm
10. https://users.soe.ucsc.edu/~msmangel/books.htm
11. https://users.soe.ucsc.edu/~msmangel/miscellaneous.html
12. https://users.soe.ucsc.edu/~msmangel/pictures.html
13. http://bio.uib.no/te/
14. https://www.cna.org/centers/cna/operations-evaluation/
15. https://users.soe.ucsc.edu/~msmangel/Giske%20et%20al%202003.pdf
16. https://users.soe.ucsc.edu/~msmangel/Giske%20et%20al%20Am%20Nat%202013.pdf
17. https://users.soe.ucsc.edu/~msmangel/Giske%20et%20al%20PRSB%202014.pdf
18. https://users.soe.ucsc.edu/~msmangel/Budaev%20et%20al%202019.pdf
19. http://bio.uib.no/te/
20. https://users.soe.ucsc.edu/~msmangel/Mangel%202017%20Ghoti.pdf
21. https://downloads.hindawi.com/journals/complexity/2021/5584123.pdf
22. https://users.soe.ucsc.edu/~msmangel/Mangel%20and%20Brown%202022%20Population%20processes.pdf
23. https://users.soe.ucsc.edu/~msmangel/Brown%20and%20Mangel%202021%20Covid%20testing.pdf
24. https://users.soe.ucsc.edu/~msmangel/Mangel%20and%20Brown%202021%20Operations%20Analysis%20for%20Coronavirus%20testing.pdf
25. https://users.soe.ucsc.edu/~msmangel/Mangel%202023%20COVID-19.pdf
26. mailto:msmangel@ucsc.edu
27. https://users.soe.ucsc.edu/~msmangel/pubs1.html
28. https://users.soe.ucsc.edu/~msmangel/research.htm
29. https://users.soe.ucsc.edu/~msmangel/cv.htm
30. https://users.soe.ucsc.edu/~msmangel/training.htm
31. https://users.soe.ucsc.edu/~msmangel/CSTAR.html
32. https://users.soe.ucsc.edu/~msmangel/course.htm
33. https://users.soe.ucsc.edu/~msmangel/religion.htm
34. https://users.soe.ucsc.edu/~msmangel/consulting.htm
35. https://users.soe.ucsc.edu/~msmangel/books.htm
36. https://users.soe.ucsc.edu/~msmangel/miscellaneous.html
37. http://users.soe.ucsc.edu/~msmangel/index.html
38. http://users.soe.ucsc.edu/~msmangel/pubs1.html
39. http://users.soe.ucsc.edu/~msmangel/research.htm
40. http://users.soe.ucsc.edu/~msmangel/cv.htm
41. http://users.soe.ucsc.edu/~msmangel/training.htm
42. http://users.soe.ucsc.edu/~msmangel/CSTAR.html
43. http://users.soe.ucsc.edu/~msmangel/course.htm
44. http://users.soe.ucsc.edu/~msmangel/religion.htm
45. http://users.soe.ucsc.edu/~msmangel/consulting.htm
46. http://users.soe.ucsc.edu/~msmangel/books.htm
47. http://users.soe.ucsc.edu/~msmangel/miscellaneous.html
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