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

	Application of the metabolic scaling theory and water-energy balance equation to model large-scale patterns of maximum forest canopy height
	Choi, Sungho 1; Kempes, Christopher P.1; Park, Taejin 1; Ganguly, Sangram 1; Wang, Weile 1; Xu, Liang 1; Basu, Saikat 1; Dungan, Jennifer L.1; Simard, Marc 1; Saatchi, Sassan S.1
刊名	GLOBAL ECOLOGY AND BIOGEOGRAPHY
	2016
卷号	25 期号:12 页码:1428-1442
关键词	CLAY-MINERALS WESTERN-AUSTRALIA SOIL PROPERTIES CLIMATE-CHANGE DESERT DUST OCEAN TRANSPORT IMAGERY ASTER
通讯作者	Choi, SH (reprint author), Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA.
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.
学科主题	Environmental Sciences & Ecology; Physical Geography
类目[WOS]	Ecology ; Geography, Physical
收录类别	SCI
语种	英语
WOS记录号	WOS:000387752800003
内容类型	期刊论文
源URL	[http://ir.radi.ac.cn/handle/183411/39563]
专题	遥感与数字地球研究所_SCI/EI期刊论文_期刊论文
作者单位	1.Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA 2.CALTECH, Control & Dynam Syst, Pasadena, CA 91125 USA 3.Santa Fe Inst, Santa Fe, NM 87501 USA 4.BAERI, Moffett Field, CA 94035 USA 5.NASA Ames Res Ctr, Moffett Field, CA 94035 USA 6.Calif State Univ Monterey Bay, Div Sci & Environm Policy, Seaside, CA 93955 USA 7.NASA Ames Res Ctr, Biospher Sci Branch, Moffett Field, CA 94035 USA 8.Univ Calif Los Angeles, Inst Environm & Sustainabil, Los Angeles, CA 90095 USA 9.Louisiana State Univ, Dept Comp Sci, Baton Rouge, LA 70803 USA 10.NASA Ames Res Ctr, Div Earth Sci, Moffett Field, CA 94035 USA
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,2016,25(12):1428-1442.
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,25(12),1428-1442.
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 25.12(2016):1428-1442.