Application of the metabolic scaling theory and water-energy balance   equation to model large-scale patterns of maximum forest canopy height

doi:10.1111/geb.12503

CORC > 北京大学 > 城市与环境学院

	Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height
	Choi, Sungho ; Kempes, Christopher P. ; Park, Taejin ; Ganguly, Sangram ; Wang, Weile ; Xu, Liang ; Basu, Saikat ; Dungan, Jennifer L. ; Simard, Marc ; Saatchi, Sassan S. ; Piao, Shilong ; Ni, Xiliang ; Shi, Yuli ; Cao, Chunxiang ; Nemani, Ramakrishna R. ; Knyazikhin, Yuri ; Myneni, Ranga B.
刊名	GLOBAL ECOLOGY AND BIOGEOGRAPHY
	2016
关键词	Carbon monitoring disturbance history geospatial predictors large-scale modelling maximum forest height mechanistic understanding metabolic scaling theory prognostic applications water-energy balance GENERAL QUANTITATIVE THEORY RESOURCE LIMITATIONS MODEL WAVE-FORM LIDAR TREE GROWTH CARBON RESPIRATION DYNAMICS ECOLOGY BIOLOGY BIOMASS
DOI	10.1111/geb.12503
英文摘要	AimForest height, an important biophysical property, underlies the distribution of carbon stocks across scales. Because in situ observations are labour intensive and thus impractical for large-scale mapping and monitoring of forest heights, most previous studies adopted statistical approaches to help alleviate measured data discontinuity in space and time. Here, we document an improved modelling approach which links metabolic scaling theory and the water-energy balance equation with actual observations in order to produce large-scale patterns of forest heights. MethodsOur model, called allometric scaling and resource limitations (ASRL), accounts for the size-dependent metabolism of trees whose maximum growth is constrained by local resource availability. Geospatial predictors used in the model are altitude and monthly precipitation, solar radiation, temperature, vapour pressure and wind speed. Disturbance history (i.e. stand age) is also incorporated to estimate contemporary forest heights. ResultsThis study provides a baseline map (c. 2005; 1-km(2) grids) of forest heights over the contiguous United States. The Pacific Northwest/California is predicted as the most favourable region for hosting large trees (c. 100 m) because of sufficient annual precipitation (> 1400 mm), moderate solar radiation (c. 330 W m(-2)) and temperature (c. 14 degrees C). Our results at sub-regional level are generally in good and statistically significant (P-value<0.001) agreement with independent reference datasets: field measurements [mean absolute error (MAE)=4.0 m], airborne/spaceborne lidar (MAE=7.0 m) and an existing global forest height product (MAE=4.9 m). Model uncertainties at county level are also discussed in this study. Main conclusionsWe improved the metabolic scaling theory to address variations in vertical forest structure due to ecoregion and plant functional type. A clear mechanistic understanding embedded within the model allowed synergistic combinations between actual observations and multiple geopredictors in forest height mapping. This approach shows potential for prognostic applications, unlike previous statistical approaches.; Fulbright Program for graduate studies; Bay Area Environmental Research Institute (BAERI); NASA Earth and Space Science Fellowship Program [NNX13AP55H]; Santa Fe Institute; SCI(E); ARTICLE; schoi@bu.edu; 12; 1428-1442; 25
语种	英语
内容类型	期刊论文
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/458332]
专题	城市与环境学院
推荐引用方式 GB/T 7714	Choi, Sungho,Kempes, Christopher P.,Park, Taejin,et al. Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height[J]. GLOBAL ECOLOGY AND BIOGEOGRAPHY,2016.
APA	Choi, Sungho.,Kempes, Christopher P..,Park, Taejin.,Ganguly, Sangram.,Wang, Weile.,...&Myneni, Ranga B..(2016).Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height.GLOBAL ECOLOGY AND BIOGEOGRAPHY.
MLA	Choi, Sungho,et al."Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height".GLOBAL ECOLOGY AND BIOGEOGRAPHY (2016).