Mark Moritz
Institution Personal homepage Professional homepagehttps://www.researchgate.net/profile/Mark_Moritz
ORCID more infohttps://orcid.org/0000-0003-0644-0069
GitHub more infoNo associated github account.
No bio entered.
Research Interests
Pastoral systems, management of common-pool resources, coupled human and natural systems, complex adaptive systems, regime shifts, resilience, ecology of infectious diseases, herder-farmer conflicts, pastoral development, political ecology.
Peer reviewed Ideal Free Distribution of Mobile Pastoralists in the Logone Floodplain, Cameroon
Mark Moritz Ian M Hamilton Andrew Yoak Hongyang Pi Jeff Cronley Paul Maddock | Published Thu Jun 19 15:48:01 2014 | Last modified Sat Jan 6 15:29:35 2018The purpose of the model is to examine whether and how mobile pastoralists are able to achieve an Ideal Free Distribution (IFD).
Simulating the Transmission of Foot-And-Mouth Disease Among Mobile Herds in the Far North Region, Cameroon
Hyeyoung Kim Ningchuan Xiao Mark Moritz Rebecca Garabed Laura W Pomeroy | Published Wed Apr 13 14:35:33 2016This model simulates movements of mobile pastoralists and their impacts on the transmission of foot-and-mouth disease (FMD) in the Far North Region of Cameroon.
Peer reviewed Family Herd Demography
Abigail Buffington Andrew Yoak Ian M Hamilton Rebecca Garabed Mark Moritz | Published Mon Aug 15 19:41:24 2016 | Last modified Sat Jan 6 15:27:40 2018The model examines the dynamics of herd growth in African pastoral systems. We used it to examine the role of scale (herd size) stochasticity (in mortality, fertility, and offtake) on herd growth.
Peer reviewed Simulating the Economic Impact of Boko Haram on a Cameroonian Floodplain
Nathaniel Henry Sarah Laborde Mark Moritz | Published Sat Oct 22 22:43:34 2016 | Last modified Wed Jun 7 16:30:07 2017This model examines the potential impact of market collapse on the economy and demography of fishing households in the Logone Floodplain, Cameroon.
Peer reviewed Infectious diseases model for mixed-methods research chapter
Daniel C Peart Chelsea E Hunter Ian M Hamilton Mark Moritz | Published Sun Jan 30 17:51:15 2022The purpose of this curricular model is to teach students the basics of modeling complex systems using agent-based modeling. It is a simple SIR model that simulates how a disease spreads through a population as its members change from susceptible to infected to recovered and then back to susceptible. The dynamics of the model are such that there are multiple emergent outcomes depending on the parameter settings, initial conditions, and chance.
The curricular model can be used with the chapter Agent-Based Modeling in Mixed Methods Research (Moritz et al. 2022) in the Handbook of Teaching Qualitative & Mixed Methods (Ruth et al. 2022).
The instructional videos can be accessed on YouTube: Video 1 (https://youtu.be/32_JIfBodWs); Video 2 (https://youtu.be/0PK_zVKNcp8); and Video 3 (https://youtu.be/0bT0_mYSAJ8).
Under development.