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pro vyhledávání: '"Spriggs RA"'
© 2017 by the authors. We apply a spatially-implicit, allometry-based modelling approach to predict stem diameter distributions (SDDs) from low density airborne LiDAR data in a heterogeneous, temperate forest in Ontario, Canada. Using a recently pub
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef22f28eb0534a7cf2bc9c5b00ad15c1
Autor:
Spriggs RA; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom., Vanderwel MC; Department of Biology, University of Regina, Regina, Saskatchewan, Canada., Jones TA; Ontario Ministry of Natural Resources and Forestry, Forest Research and Monitoring Section, Sault Ste. Marie, Ontario, Canada., Caspersen JP; Faculty of Forestry, University of Toronto, Toronto, Ontario, Canada., Coomes DA; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom.
Publikováno v:
PloS one [PLoS One] 2019 Apr 19; Vol. 14 (4), pp. e0215238. Date of Electronic Publication: 2019 Apr 19 (Print Publication: 2019).
Autor:
Thompson RN; Department of Zoology, University of Oxford, South Parks Road, Oxford, UK.; Mathematical Institute, University of Oxford, Andrew Wiles Building, Radcliffe Observatory Quarter, Oxford, UK.; Christ Church, University of Oxford, St Aldates, Oxford, UK., Wymant C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Spriggs RA; Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge, UK., Raghwani J; Department of Zoology, University of Oxford, South Parks Road, Oxford, UK.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Fraser C; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK., Lythgoe KA; Department of Zoology, University of Oxford, South Parks Road, Oxford, UK.; Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, Nuffield Department of Medicine, University of Oxford, Oxford, UK.
Publikováno v:
Virus evolution [Virus Evol] 2019 Jan 30; Vol. 5 (1), pp. vey038. Date of Electronic Publication: 2019 Jan 30 (Print Publication: 2019).
Autor:
Powney GD; Centre for Ecology & Hydrology, Wallingford, United Kingdom ; Department of Life Sciences, Imperial College London, Ascot, United Kingdom., Brooks SJ; Life Sciences Department, Natural History Museum, London, United Kingdom., Barwell LJ; Centre for Ecology & Hydrology, Wallingford, United Kingdom ; School of Biology, University of Leeds, Leeds, United Kingdom., Bowles P; Department of Life Sciences, Imperial College London, Ascot, United Kingdom., Fitt RN; Zoology Department, University of Aberdeen, Aberdeen, United Kingdom., Pavitt A; Department of Life Sciences, Imperial College London, Ascot, United Kingdom., Spriggs RA; Department of Plant Sciences, University of Cambridge, Cambridge, United Kingdom., Isaac NJ; Centre for Ecology & Hydrology, Wallingford, United Kingdom.
Publikováno v:
Biodiversity data journal [Biodivers Data J] 2014 Jan 29 (2), pp. e1041. Date of Electronic Publication: 2014 Jan 29 (Print Publication: 2014).