Wetland restoration is a key strategy to sequester soil organic carbon and improve downstream water quality via nutrient retention; however, wetlands can also be potential sources of GHGs (CH4 , N2O). Furthermore, wetland restoration on cropland might not be an economically viable strategy, thus limiting widespread adoption of restoration. For wetland restoration to be successful it is necessary to explicitly consider these synergies and tradeoffs, and focus restoration in locations where synergies can be maximized. We have a new and exciting project starting up on spatial targeting of Nature-based Solutions like wetlands at regional scales to address this challenge.
The PDF and the PhD students will use a combination of remote sensing, data synthesis and process-based modeling to characterize environmental and economic tradeoffs associated with wetland restoration on agricultural landscapes. This will build on our research in the US (Cheng et al. 2020), where our team found that targeted wetland restoration in high nutrient input areas can lead to 40 times more nitrogen removal than non-targeted restoration. We will build on this work by (1) explicitly considering water quality, greenhouse gas emissions and economic trade offs related to wetland restoration, (2) expanding from the US scale to the pan Canadian and eventually North America scale. There is flexibility in project definition within this broad scope.
Please apply if you have expertise/background in remote sensing of vegetation, soil moisture and inundation datasets, and are excited about the possibility of applying these skill sets in the domain of nature based solutions for water quality and climate. The successful applicants will be working together with Dr. Nandita Basu at University of Waterloo and Dr. Kim Van Meter at Penn State University. Send a CV, a page describing your interests and backgrounds, and transcripts to Nandita Basu (email@example.com, cc firstname.lastname@example.org).