Eli P. Fenichel
480.965.4027
My interests are in feedback connections between humans and
ecosystems, thresholds, the role of risk and approaches to managing risk in natural
resource decision making, bioeconomics, natural
resource economics, populations and disease ecology, natural resource policy
and sustainability, modeling.
My office is on the first floor of Life Science A (LSA) 120 where I am affiliated with the ecoSERVICES Group.
Graduate Students:
If you are interested in working with me as a graduate
student, then please contact me via email.
Current teaching:
Bio 591 Math for Life and Sustainability Science
Bio 411 Quantitative Conservation Biology
Current projects:
1) Managing Fish Translocation Risks Using Real Options:
Colleagues and I are adapting real options analysis to help
manage risk in fisheries management decision making. We are using the
case study of sterile male sea lamprey transfers from
2) The Bioeconomics of Animal and Emerging Infectious Diseases:
I am expanding prior work on combining economic principles with
host-pathogen and population theory to improve the management of disease in
wild populations. I am currently working
on the economic management of multiple host systems, empirical approaches to
the bioeconomics of emerging infectious disease, and
the bioeconomics of human emerging and vector borne
diseases. This work is in a transitional
phase. I also lead the Synthesizing and
Prediction Infectious Disease with account for Endogenous Risk (SPIDER) working
group sponsored by the National Institute for Mathematical and Biological
Synthesis (NIMBioS) at the
3) Bioeconomic thresholds and the role human behavior in alternative stable states:
Over the last 10 years or so the idea that ecological and
biological systems can be in alternative stable states has influenced how we
think about natural resource policy.
However, human behaviors are often considered exogenous forcing
functions in these models. These part of
my research program looks at what happens when you consider endogenous human
economic behavior in these systems.
4) Dynamic models of recreational angling behavior:
There is increasing evidence that recreational angling is a
significant source of fish population declines. In order to devise efficient
recreational fisheries regulation it is imperative to develop integrated models
of the recreational angling system that accurately predict angler behavior in a
way that may be fruitfully combined with accepted models of fish population
dynamics. A long-standing barrier to the
unification of empirical recreational angling demand models and bioeconomic
models has been the lack of development of recreational demand models that can consistently
explain the seasonal demands of anglers over multiple recreational sites while
simultaneously handling the possibility of no participation at many sites (e.g.
“corner solutions”). Corner solutions
are important both for the modeling of entry-exit decisions and for providing
forecasts of visitation across sites. The ability to aggregate the
participation decisions of individuals into effort levels is important to model
how microeconomic decision making, and incentives and regulations that alter
these decisions, map through to impacts on the fish stock. This work is in collaboration with Josh
Abbott (ASU) and is supported by the NOAA Saltonstall-Kennedy
grant program.
PUBLICATIONS (If
you are interested in these publications and have trouble accessing them, then
please contact me):
Fenichel, E.P., Lupi, F., Hoehn,
J., and Kaplowitz, M. 2009. Split-sample
Tests of “No Opinion” Responses in an Attribute Based Choice Model. Land Economics: 348-362.
Fenichel, E.P., Tsao, J.I., and Jones, M., 2009. Modeling
fish health to inform research and management: Renibacterium
salmoninarum dynamics in Lake Michigan. Ecological Applications.
747-760.
Fenichel, Tsao, Jones,
and Hickling. 2008. Real
Options for Precautionary Fisheries Management. Fish and Fisheries. 9: 121-137
Fenichel, Tsao, Jones, and Hickling. 2008. Fish Pathogen Screening and its Influence on
the Likelihood of Accidental Pathogen Introduction during Fish Translocations.
Journal of Aquatic
Animal Health. 20: 19-28
Horan, Wolf, Fenichel, and Mathews. 2008. Joint
Management of Wildlife and Livestock Disease. Environmental
and Resource Economics 41:47-70.
Horan and Fenichel. 2007. Economics and Ecology of Managing Emerging Infectious Animal Diseases. The American Journal of Agricultural Economics. 89:1232-1238.
Fenichel and Horan. 2007. Gender-based
Harvesting in Wildlife Disease Management. American Journal of Agricultural
Economics. 89: 904-920.
Fenichel and Horan. 2007.
Jointly-determined ecological thresholds and economic trade-offs in wildlife
disease management. Natural Resource Modeling. 20:
511-547.
Horan, Wolf, Fenichel, and Mathews. 2005. Spatial
Management of Wildlife Disease. Review of Agricultural Economics.
27:483-490.