Created: 09/25/2021 00:39Updated: 09/25/2021 00:39

Kilborn, Joshua  

Research Assistant Professor

Bio: In ecology, the problem of “pattern and scale” (Levin, 1992) persists where, in systems with many interacting factors and processes, the mechanisms that control the structure, function, and health of the system’s resources exist at multiple temporal and spatial scales that may change over the lifetime of the resource. Dr. Kilborn’s research focuses on describing large marine ecosystems and their associated fisheries in terms of the biological and non-biological aspects relevant to management and for moderating competing stakeholder interests. He uses parametric and non-parametric, uni/multivariate statistical methods to develop decision-support products, such as the Gulf of Mexico fisheries ecosystem model implemented using the Ecosystem-Level, Management-Indicator Selection Tool (Kilborn et al., 2018), that distill the multiple, dynamic interactions and trade-offs within an ecosystem into a more manageable format for managers and stakeholders. Dr. Kilborn also uses, and develops (Kilborn et al., 2017), state-of-the-art methods in numerical ecology to determine (1) what spatiotemporal scales are most relevant to different marine ecosystem resources, (2) what internal or external factors most affect the organization of resources over time and space, and (3) what large or small scale influences may account for or predict, shifts in those organizational states. Ultimately, the results of his work are meant to provide necessary context and perspective for those that are investigating which of the complex ecosystem dynamics should be monitored and managed, and for fostering practical and sustainable long-term use of the variety of important services that large marine ecosystems provide. Finally, Dr. Kilborn also enjoys working and mentoring students through teaching the College’s Biometry (Fall; CRN: 88449) and Applied Multivariate Statistics (Spring; CRN: 18230) courses annually.

Areas of Expertise

Marine and Earth Science:
Biological Oceanography
Marine Biology
Marine Ecology
Climate Science
Marine Conservation
Environmental Science
Complex Adaptive Systems
and Energy Policy
Social Science:
Decision Science
Digital Communication
Community Engagement
Not applicable
Mentoring and Early Career Development:
High school interns
Master’s students
Ph.D. students
Justice, Equity, Diversity, and Inclusion:
Active participation in institutional JEDI programming

Resources & Facilities

Laboratory Facilities:
Not Applicable
Computational Facilities:
Computational modeling
Remote sensing
Field-Going Resources:
Not Applicable