My process |
Fieldwork and data science
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) and Google Earth Engine (Javascript) to conduct spatial analyses, and R to perform statistics and data visualisation |
Noise and light 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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Deforestation I am examining the efficacy of community-based forest management and REDD+ in developing countries. My study site is Pemba, Tanzania.
Collaborators: Monique Borgerhoff Mulder, Tim Caro, Mark Grote, Jim Thorne, Ani Ghosh "I've got the REDD+ blues" Blog post |
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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