Browsing School of Geography by Author "Lines, ER"
Now showing items 1-6 of 6
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Available and missing data to model impact of climate change on European forests
Ruiz-Benito, P; Vacchiano, G; Lines, ER; Reyer, CPO; Ratcliffe, S; Morin, X; Hartig, F; Makela, A; Yousefpour, R; Chaves, JE (2020-01-15) -
Can we set a global threshold age to define mature forests?
Martin, P; Jung, M; Brearley, FQ; Ribbons, RR; Lines, ER; Jacob, AL (2016-01-01)© Copyright 2016 Martin et al. Globally, mature forests appear to be increasing in biomass density (BD). There is disagreement whether these increases are the result of increases in atmospheric CO2 concentrations or a ... -
Capturing juvenile tree dynamics from count data using Approximate Bayesian Computation
Lines, ER; Zavala, MA; Ruiz-Benito, P; Coomes, DA (2020-03) -
Quantifying vegetation indices using terrestrial laser scanning: methodological complexities and ecological insights from a Mediterranean forest
Flynn, WRM; Owen, HJF; Grieve, SWD; Lines, ER (2023) -
Tree species classification from complex laser scanning data in Mediterranean forests using deep learning
Allen, MJ; Grieve, SWD; Owen, HJF; Lines, ER (2023) -
UAV-derived greenness and within-crown spatial patterning can detect ash dieback in individual trees
Flynn, WRM; Grieve, SWD; Henshaw, AJ; Owen, HJF; Buggs, RJA; Metheringham, CL; Plumb, WJ; Stocks, JJ; Lines, ER (2024-04-01)Ash Dieback (ADB) has been present in the UK since 2012 and is expected to kill up to 80% of UK ash trees. Detecting and quantifying the extent of ADB in individual tree crowns (ITCs), which is crucial to understanding ...