Research interests
My interests center around data integration and ecological modeling, with the overarching goal of comprehending ecological and biogeographic patterns, as well as the potential impacts of global change on biodiversity. My research focuses in three areas: (1) disease ecology and biogeography, and (2) methods and tool development for predictive modeling. I am deeply committed to promoting open science via open-source software development, and through active promotion of diversity, equity, inclusion, and belonging in science.
Skills
Statistics
R
GIS
Python
Linux
AI
Projects
.js-id-biogeography
Tools for biodiversity inventory design and for the exploration of biodiversity data and patterns.
What is the role of evolutionary adaptation in species distributions
Dynamics of host-pathogen interactions in space and time.
Time-specific characterizations and predictions of ecological phenomena.
A collection of tools for ecological modeling and simulations.
Featured Publications
(2023).
Effects of occurrence data density on conservation prioritization strategies.
Biological Conservation 284: 110207.
(2023).
Broad-scale factors shaping the ecological niche and geographic distribution of Spirodela polyrhiza.
PLoS ONE 18: e0276951.
(2021).
Genome-environment association methods comparison supports omnigenic adaptation to ecological niche in malaria vector mosquitoes.
Molecular Ecology 30: 6468-6485.
(2021).
A simulation-based method for identifying accessible areas as calibration areas for ecological niche models and species distribution models.
Frontiers of Biogeography (14): e48814.
(2020).
Recognizing sources of uncertainty in disease vector ecological niche models: An example with the tick Rhipicephalus sanguineus sensu lato.
Perspectives in Ecology and Conservation (7): e6281.
Contact
A shortcut to start communications.
- marloncobos@ku.edu
- (1)785-864-3926
- 1345 Jayhawk Blvd, Lawrence, KS 66045
- Dyche Hall, 7th floor
- 09:00 to 17:00 (09:00 am to 05:00 pm)
- @Marlon_E_Cobos
- marlonecobos