Lucy G. Poley

Lucy G. Poley
Wildlife Conservation Society, Canada | WCS

Ph.D.

About

8
Publications
3,245
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190
Citations

Publications

Publications (8)
Article
Full-text available
Roads are an overwhelming component of the global human footprint and their absence helps identify intact areas with high ecological value. Road‐free areas are decreasing globally, making accurate estimation of their location and size of great importance. Identification of such regions requires accurate data, but substantial variability exists in r...
Presentation
Full-text available
Peatlands store more carbon in soils than other types of ecosystems and for longer periods of time. Northern peatlands in Canada – more than 1.1 million square kilometres – stretch across the boreal zone and are a globally important, and irreplaceable, carbon sink. But only ~10% of peatlands are formally protected in Canada despite the tremendous b...
Article
Full-text available
Shrub-dominated ecosystems support biodiversity and play an important storage role in the global carbon cycle. However, it is challenging to characterize biophysical properties of low-stature vegetation like shrubs from conventional ground-based or remotely sensed data. We used spectral and structural variables derived from high-resolution unmanned...
Article
Full-text available
Interest in the use of unmanned aerial systems (UAS) to estimate the aboveground biomass (AGB) of vegetation in agricultural and non-agricultural settings is growing rapidly but there is no standardized methodology for planning, collecting and analyzing UAS data for this purpose. We synthesized 46 studies from the peer-reviewed literature to provid...
Article
Aim We used data from aerial surveys of wolverine tracks collected in seven winters over a 10‐year period (2003–2012) within a 574,287 km² study area to evaluate the broad‐scale pattern of wolverine occurrence across a remote northern boreal forest region, identifying areas of high and low occupancy. Location Northern Ontario, Canada. Taxon Wolve...
Article
Aim An understanding of the factors that influence species distributions in heterogeneous landscapes is important when making decisions regarding conservation. Moreover, occupancy probabilities based on detection data can reveal important species–habitat relationships. Accounting for the spatial autocorrelation of detection data increases the stati...

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