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Past NIMBioS Postdoctoral Fellow

Orou Gaoue

Orou Gaoue photo. Dates: June 2011 – May 2013

Project Title: Integrating new developments in stochastic demography to modeling the ecological impacts of non-timber forest products harvest

As a NIMBioS postdoctoral fellow, Orou Gaoue (Ph.D. Botany, University of Hawaii, 2008) investigated how plant populations response to non-timber forest products harvest varies between species, life form and ecological contexts. Upon completing his fellowship at NIMBioS, Dr. Gaoue accepted a position as assistant professor of ecology, evolution and conservation biology at the University of Hawaii at Manoa.

Personal website

NIMBioS Seminar: Using a matrix population model to understand the short and long-term consequences of wild plants harvest

Feature Story: Non-timber treasures of the forest and the ecological consequences of over-harvesting

Video Interview: Wild plant harvesting

Publications while at NIMBioS Gaoue OG, Jiang J, Ding W, Agusto FB, Lenhart S. 2015. Optimal harvesting strategies for timber and non-timber forest products in tropical ecosystems. Theoretical Ecology.

Gaoue OG. 2015. Transient dynamics reveal the importance of early life survival to the response of a tropical plant to harvest. Towards a mechanistic understanding of the synergistic effects of harvesting timber and non-timber forest products. Journal of Applied Ecology.

Gaoue OG, Ngonghala CN, Jiang J, Maud L. 2015. Towards a mechanistic understanding of the synergistic effects of harvesting timber and non-timber forest products. Methods in Ecology and Evolution.

Gaoue OG, Lemes MR, Ticktin T, Sinsin B, Eyog-Matig O. 2014. Non-timber forest product harvest does not affect the genetic diversity of a tropical tree despite negative effects on population fitness. Biotropica, 46(6): 756-762. [Online]

Gaoue OG, Horvitz CC, Ticktin T, Steiner UK, Tuljapurkar S. 2013. Defoliation and bark harvesting affect life-history traits of a tropical tree. Journal of Ecology, 101(6): 1563-1571. [Online]

Kakai RG, Akpona TJD, Assogbadjo AE, Gaoue OG, Chakeredza S, Gnangle PC, Mensah GA, Sinsin B. 2011. Ecological adaptation of the shea butter tree (Vitellaria paradoxa CF Gaertn.) along climatic gradient in Benin, West Africa. African Journal of Ecology, 49(4): 440-449. [Online]

Presentations while at NIMBioS

Gaoue OG, Horvitz CC, Ticktin T, Steiner UK, Tuljapurkar S. Published online 5 August 2013. Defoliation and bark harvesting affect life-history traits of a tropical tree. Journal of Ecology. [Online]

Gaoue O. December 2011. Integral projection modeling: Why, how and what for? The 1st Masamu Advanced Study Institute and Workshops in Mathematical Sciences, Livingstone, Zambia

Gaoue O. December 2011. Matrix population models: deterministic and stochastic dynamics. The 1st Masamu Advanced Study Institute and Workshops in Mathematical Sciences. Livingstone, Zambia.

Gaoue O. December 2011. Modeling the short and long term consequence of wild plant harvest by indigenous people. The 1st Masamu Advanced Study Institute and Workshops in Mathematical Sciences. Livingstone, Zambia.

Gaoue O. September 2011. Using matrix models to understand the short- and long-term consequences of plant harvest, NIMBioS Seminar Series, University of Tennessee, Knoxville, TN.

Gaoue O. July 2011. Asymptotic growth rates underestimate the transient dynamic response of a tropical tree to harvest, Workshop for Young Researchers in Mathematical Biology, Mathematical Biosciences Institute, Ohio State University.

Gaoue O. June 2011. What metric of sustainability for wild plants harvest: Population structure, reproductive performances or population growth rates? Association for Tropical Biology and Conservation Meeting, Arusha, Tanzania.


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From 2008 until early 2021, NIMBioS was supported by the National Science Foundation through NSF Award #DBI-1300426, with additional support from The University of Tennessee, Knoxville. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
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