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Yale University - post-doctoral research
Office Phone: 203-432-1597
Ph.D. Fisheries and Wildlife. 2012. Michigan State University, U.S.A.
M.S. Zoology. 2001. National Taiwan University, Taiwan.
B.S. Zoology. 1998. National Taiwan University, Taiwan.
Mao-Ning Tuanmu is a postdoctoral associate in the Department of Ecology and Evolutionary Biology at Yale University. He is interested in the spatio-temporal dynamics of species distribution and biodiversity patterns, their underlying processes and drivers, and their implications for biodiversity conservation. In particular, he is interested in how ecologically relevant information can be extracted from remotely sensed data and how the information can help us better understand biodiversity patterns and be used to guide biodiversity conservation. He received a PhD in Fisheries and Wildlife from Michigan State University in 2012. He holds M.Sc amd B.Sc in zoology from National Taiwan University, Taiwan. His dissertation research focused on the spatio-temporal dynamics of giant panda habitat and of pandas’ major food resources, understory bamboo.
Remote sensing, species distribution, habitat modeling, biological diversity, spatial patterns and temporal dynamics, conservation biogeography, spatial data analysis
|Synthesis of human-nature feedbacks||Ecology and Society||2015|
|Nonlinear effects of group size on collective action and resource outcomes||PNAS||2013|
|Climate-change impacts on understorey bamboo species and giant pandas in China’s Qinling Mountains||Nature Climate Change||2013|
|Relationship between floristic similarity and vegetated land surface phenology: Implications for the synoptic monitoring of species diversity at broad geographic regions||Remote Sensing of Environment||2012|
|Evaluating the efﬁcacy of zoning designations for protected area management||Biological Conservation||2011|
|Temporal transferability of wildlife habitat models: implications for habitat monitoring||Journal of Biogeography.||2011|
|Mapping understory vegetation using phenological characteristics derived from remotely sensed data||Remote Sensing of Environment||2010|
|Range-wide analysis of wildlife habitat: Implications for conservation||Biological Conservation||2010|