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My process |
Fieldwork and data science
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Remote sensing
I use camera trapping to monitor wildlife on the ground, and satellite imagery to monitor habitat alterations from above I This |
Coding
I use ArcGIS (Python), Google Earth Engine (Javascript), and R to conduct spatial analyses, perform statistics and visualize data |
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Artificial light & noise pollution Does traffic-induced noise and light disturbance alter spatiotemporal patterns of habitat use in mammals?
Do prey and/or mesopredators fear traffic noise? I am addressing these questions by monitoring wildlife movement and behavior at crossing structures and wilderness areas across California, USA. Collaborators: Fraser Shilling, Travis Longcore, Winston Vickers Click here to see wildlife images |
Light pollution at a crossing structure, highway 80, California.
Image Source: Ben Banet |
A community forest in Pemba, Tanzania
Mangrove forest in 2002 versus 2016. Satellite imagery: Google Earth
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Climate change & deforestation How effective is community-based forest management in developing countries? Do payments for ecosystem services work in Reducing Emissions from Deforestation and forest Degradation (REDD+) programs? I use remote sensing and statistical matching to provide answers to these questions.
Collaborators: Monique Borgerhoff Mulder, Tim Caro, Mark Grote, Jim Thorne, Ani Ghosh "I've got the REDD+ blues" Blog post |
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Shifting population baselines Using Hudson's Bay Company data that dates back to 1850, we look at historical population decline, and provide context for present-day species population trends.
Collaborators: Monni Bohm, Ben Collen |
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