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Eben N. Broadbent is a postdoctoral fellow at the Woods Institute for the Environment at Stanford University (woods.stanford.edu) and the Conservation Biology Institute of the Smithsonian Institution (www.si.edu). His current research is based in the Osa and Golfito region of Southwest Costa Rica (inogo.info / inogo.stanford.edu) under the guidance of Prof. Dirzo (Dept. of Biology, Stanford University), where he has collaborated with an excellent team including Angelica M. Almeyda Zambrano, Lucia Morales Barquero, Sandra L. Almeyda Zambrano, Carlos Alberto Quispe Gil, and many others, for efforts related to the marine and terrestrial ecosystems. In addition to coordinating field workshops, questionnaires, surveys, and participatory mapping efforts, he lead the remote sensing and spatial analysis of the terrestrial ecosystems of the Osa Peninsula and Golfito study area, developing new techniques merging image segmentation with spectral analysis. An upcoming research focus of the project will be linking environmental changes with human health impacts, in collaboration with Dr. Gaffiken (School of Medicine, Stanford University), and developing coupled human-environment monitoring approaches. From 2012-2013, he served as a postdoctoral fellow affiliated with the Smithsonian Institution and Harvard University developing future scenarios of New England using an iterative stakeholder driven process to parameterize spatial-temporal simulations from 2010-2060 through coupled numerical models of land use change, forest succession and disturbance (LANDIS-II) and ecosystem services (InVEST). Prior to this he served as a doctoral and postdoctoral fellow in the Sustainability Science Program of the Harvard Kennedy School, based at Harvard's Department of Organismic and Evolutionary Biology where his faculty host was Prof. Holbrook. He began working in the tropics in 1998 while earning his BS in botany where he investigated niche partitioning among tree canopy cloud forest epiphytes in Monteverde, Costa Rica, advised by Drs. Masters and Prof. Barrington (Dept. of Botany, UVM). He obtained his masters in forestry from the University of Florida, where he was advised by Prof. Zarin (SFRC, UFL), linking field measurements of forest regeneration in selective logging tree fall gaps in Bolivia with spectral unmixing of ASTER satellite imagery. He then received his doctorate from the Department of Biology at Stanford University in 2012, co-advised by Dr. Asner (Dept. of Global Ecology, Carnegie Institution) and Prof. Field (Dept. of Biology, Stanford University​), where he was a Department of Energy Global Change Education Project Doctoral Research Fellow. His dissertation is titled "Forest dynamics across temporal and spatial scales". Given the broad nature of the dissertation, the study topics encompassed: (1) forest fragmentation and edge effects over the Brazilian Amazon, (2) quantifying the 3D spatial distribution of tree biomass and diversity in a lowland tropical forest in Bolivia, and (3) using airborne LiDAR – hyperspectral fusion techniques to quantify interactions among climate, species composition and forest structure in a Hawaiian rainforest. For this research he was awarded a Department of Energy Global Change Education Project Doctoral Research Fellowship, a NSF Doctoral Dissertation Improvement Grant, and a NASA Earth and Space Science Fellowship. ​ Over the last decade he has conducted research focusing on the tropics, including in the Brazilian, Bolivian, and Peruvian Amazon, Indonesia, Costa Rica, and Mexico, but also including work in California, and currently, in his childhood forests of New England. He has worked as a research ecologist in the Department of Global Ecology of the Carnegie Institution for Science at Stanford University, at the Instituto Boliviano de Investigación Forestal in Santa Cruz, Bolivia, and at Hudsonia Ltd. at Bard College. ​​He is involved in projects linking social sciences with forest ecology, conservation biology and remote sensing, including trying to understand feedbacks between soil fertility and land use decision making in the context of rapid infrastructure development in the Amazon with a goal to improve the sustainability of agricultural practices.

 

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