Remote assessment of locally important ecological features across landscapes: how representative of reality?
A recently published paper in Ecological Applications describes the local ecological footprinting tool (LEFT), which uses globally available databases, modelling, and algorithms to remotely assess locally important ecological features across landscapes based on five criteria: biodiversity (beta-diversity), vulnerability (threatened species), fragmentation, connectivity, and resilience. This approach can be applied to terrestrial landscapes at a 300-m resolution within a given target area. Input is minimal (latitude and longitude) and output is a computer-generated report and series of maps that both individually and synthetically depict the relative value of each ecological criteria. A key question for any such tool, however, is how representative is the remotely obtained output compared to what is on the ground. Here, we present the results from comparing remotely- vs. field-generated outputs from the LEFT tool on two distinct study areas for beta-diversity and distribution of threatened species (vulnerability), the two fields computed by LEFT for which such an approach is feasible. The comparison method consists of a multivariate measure of similarity between two fields based on discrete wavelet transforms, and reveals consistent agreement across a wide range of spatial scales. These results suggest that remote assessment tools such as LEFT hold great potential for determining key ecological features across landscapes and for being utilized in pre-planning biodiversity assessment tools.
Originally published on the website of the Oxford Long-term Ecology Lab
- OxLEL in British Society of Soil Science Annual Meeting
- Kathy Willis interview on BBC’s The Life Scientific
- New paper about extinctions in Amazonian bird communities
- Remote assessment of locally important ecological features across landscapes: how representative of reality?
- Professor Kathy Willis is the winner of the 2015 Michael Faraday Prize