id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_xlqjpyyk3regxfhqqrgspukb6y	Eli K. Melaas	Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States	2016.0	14	.pdf	application/pdf	9416	678	57	Multiscale modeling of spring phenology across Deciduous Forests in the Eastern United States In this paper, we use a combination of surface meteorological data, species composition maps, remote sensing, and ground-based observations to estimate models that better remote sensing-based observations of phenology, we estimated and tested models that predict the timing of spring Our results demonstrate variability in cumulative forcing requirements and photoperiod cues across species and forest types, and show how community composition influences phenological from this analysis demonstrate how in situ observation networks and remote sensing data can be used to synergistically calibrate and assess regional parameterizations of phenology in models. eastern temperate deciduous forest biome using gridded climate data and compare our model results with USA-NPN or PhenoCam observations, models generally predicted spring onset within 8–10 days with relatively low bias and Pearson's correlation coefficients species-independent PhenoCam model showed relatively good accuracy predicting the timing of leaf emergence in deciduous forests across our study region.	./cache/work_xlqjpyyk3regxfhqqrgspukb6y.pdf	./txt/work_xlqjpyyk3regxfhqqrgspukb6y.txt