Canopy-structure effects on surface roughness parameters: Observations in a Great Lakes mixed-deciduous forest

Over forested canopies, the physical structure of vegetation interacts with wind by exerting drag on the flow, thus generating turbulent mixing that is necessary for scalar transport. We use 11 years of above-canopy wind speed measurements from spatially and temporally heterogeneous forest environments to disentangle the effects of different features of changing canopy structure on the surface roughness parameters: displacement height (d), roughness length (z0), and the aerodynamic canopy height (ha). We find a significant increasing long-term trend of dormant-season (leaf-off) ha, which closely resembles the rate of biometrically derived vertical stem growth over years. We show that the values of d and z0 trade-off with higher d and shorter z0 when leaf area is high in the growing season. Using airborne lidar measurements and a footprint model for flux-source location detection, we show that these d and z0 trade-offs also correspond with the spatial differences between taller and shorter subplot patches. We show that incorporating seasonal-scale temporal heterogeneity of d and z0 into surface-flux and ecosystem models will improve their accuracy. However, incorporating simple empirical modifications to surface-structure roughness parameters due to inter-annual variation in canopy height and leaf area did not lead to improved modeling of frictional velocity within this study. Further investigation of structure–roughness relationships is needed to incorporate these aspects. Finally, this study proposes a meteorological-based method for estimating vertical stem growth in undisturbed forest environments by tracking ha over time.

[1]  John L. Monteith,et al.  A four-layer model for the heat budget of homogeneous land surfaces , 1988 .

[2]  Gil Bohrer,et al.  A comparison of multiple phenology data sources for estimating seasonal transitions in deciduous forest carbon exchange , 2011 .

[3]  S. Wofsy,et al.  Modeling gross primary production of temperate deciduous broadleaf forest using satellite images and climate data , 2004 .

[4]  Robert E. Dickinson,et al.  An approach to deriving roughness length and zero-plane displacement height from satellite data, prototyped with BOREAS data , 2000 .

[5]  W. Oechel,et al.  A new model of gross primary productivity for North American ecosystems based solely on the enhanced vegetation index and land surface temperature from MODIS , 2008 .

[6]  M. Keller,et al.  Spatial and temporal dynamics of forest canopy gaps following selective logging in the eastern Amazon , 2004 .

[7]  P. Schwerdtfeger,et al.  Flux‐gradient relationships for momentum and heat over a rough natural surface , 1989 .

[8]  K. Price,et al.  Regional vegetation die-off in response to global-change-type drought. , 2005, Proceedings of the National Academy of Sciences of the United States of America.

[9]  J. Kaimal,et al.  Another look at sonic thermometry , 1991 .

[10]  G. Bohrer,et al.  Disturbance and the resilience of coupled carbon and nitrogen cycling in a north temperate forest , 2011 .

[11]  R. Shaw,et al.  Aerodynamic roughness of a plant canopy: A numerical experiment , 1982 .

[12]  J. Finnigan,et al.  Coherent eddies and turbulence in vegetation canopies: The mixing-layer analogy , 1996 .

[13]  P. Cellier,et al.  Flux-gradient relationships above tall plant canopies , 1992 .

[14]  L. Mahrt Computing turbulent fluxes near the surface: Needed improvements , 2010 .

[15]  Richard G. Allen,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Model , 2007 .

[16]  Andrew J. Pitman,et al.  Assessing the Sensitivity of a Land-Surface Scheme to the Parameter Values Using a Single Column Model , 1994 .

[17]  Zhongbo Su,et al.  Surface roughness analysis of a conifer forest canopy with airborne and terrestrial laser scanning techniques , 2012, Int. J. Appl. Earth Obs. Geoinformation.

[18]  A. Thom Momentum absorption by vegetation , 1971 .

[19]  W. Cohen,et al.  Scaling Gross Primary Production (GPP) over boreal and deciduous forest landscapes in support of MODIS GPP product validation , 2003 .

[20]  Pierre Aumond,et al.  Including the Drag Effects of Canopies: Real Case Large-Eddy Simulation Studies , 2012, Boundary-Layer Meteorology.

[21]  A. Dyer A review of flux-profile relationships , 1974 .

[22]  T. Foken,et al.  Organised Motion in a Tall Spruce Canopy: Temporal Scales, Structure Spacing and Terrain Effects , 2007 .

[23]  Thian Yew Gan,et al.  Modeling gross primary production of deciduous forest using remotely sensed radiation and ecosystem variables , 2009 .

[24]  K. Ridder Bulk Transfer Relations for the Roughness Sublayer , 2010 .

[25]  G. Bohrer,et al.  Maintaining high rates of carbon storage in old forests: A mechanism linking canopy structure to forest function , 2013 .

[26]  T. Meyers,et al.  THE EFFECTS OF EXTREME TURBULENT EVENTS ON THE ESTIMATION OF AERODYNAMIC VARIABLES IN A DECIDUOUS FOREST CANOPY , 1989 .

[27]  M. Moran A satellite-based approach for evaluation of the spatial distribution of evapotranspiration from agricultural lands. , 1990 .

[28]  Donald G. Leckie,et al.  Automated detection and mapping of crown discolouration caused by jack pine budworm with 2.5 m resolution multispectral imagery , 2005 .

[29]  S. Dupont,et al.  Momentum and scalar transport within a vegetation canopy following atmospheric stability and seasonal canopy changes: the CHATS experiment , 2012 .

[30]  A. Holtslag,et al.  A remote sensing surface energy balance algorithm for land (SEBAL)-1. Formulation , 1998 .

[31]  W. Massman,et al.  AN ANALYTICAL ONE-DIMENSIONAL MODEL OF MOMENTUM TRANSFER BY VEGETATION OF ARBITRARY STRUCTURE , 1997 .

[32]  G. Katul An Investigation of Higher-Order Closure Models for a Forested Canopy , 1998, Boundary-Layer Meteorology.

[33]  Hironori Yabuki,et al.  Parameterisation of aerodynamic roughness over boreal, cool- and warm-temperate forests , 2008 .

[34]  A. Lindroth Aerodynamic and canopy resistance of short-rotation forest in relation to leaf area index and climate , 1993 .

[35]  G. Bohrer,et al.  The role of canopy structural complexity in wood net primary production of a maturing northern deciduous forest. , 2011, Ecology.

[36]  C. Paulson The Mathematical Representation of Wind Speed and Temperature Profiles in the Unstable Atmospheric Surface Layer , 1970 .

[37]  A. Thom,et al.  Turbulence in and above Plant Canopies , 1981 .

[38]  T. A. Black,et al.  Assessing Tower Flux Footprint Climatology and Scaling Between Remotely Sensed and Eddy Covariance Measurements , 2009 .

[39]  M. Raupach Anomalies in flux-gradient relationships over forest , 1979 .

[40]  J. Finnigan,et al.  A Re-Evaluation of Long-Term Flux Measurement Techniques Part II: Coordinate Systems , 2004 .

[41]  G. Katul,et al.  Simplified expressions for adjusting higher-order turbulent statistics obtained from open path gas analyzers , 2007 .

[42]  Roger H. Shaw,et al.  Turbulence structure above a vegetation canopy , 2009, Journal of Fluid Mechanics.

[43]  J. Finnigan Turbulence in plant canopies , 2000 .

[44]  I. Harman The Role of Roughness Sublayer Dynamics Within Surface Exchange Schemes , 2011, Boundary-Layer Meteorology.

[45]  I. R. Cowan Mass, heat and momentum exchange between stands of plants and their atmospheric environment , 1968 .

[46]  J. Graefe Roughness layer corrections with emphasis on SVAT model applications , 2004 .

[47]  Thomas Foken,et al.  Flux contribution of coherent structures and its implications for the exchange of energy and matter in a tall spruce canopy , 2007 .

[48]  C. B. Tanner,et al.  Potential evapotranspiration estimates by the approximate energy balance method of Penman , 1960 .

[49]  A. Sumida,et al.  A comparison between various definitions of forest stand height and aerodynamic canopy height , 2010 .

[50]  D. Ingham,et al.  Estimating Aerodynamic Parameters of Urban-Like Surfaces with Heterogeneous Building Heights , 2011 .

[51]  R. Shaw,et al.  Influence of foliar density and thermal stability on profiles of Reynolds stress and turbulence intensity in a deciduous forest , 1988 .

[52]  W. Ju,et al.  Seasonal, Diurnal and Wind-Direction-Dependent Variations of the Aerodynamic Roughness Length in Two Typical Forest Ecosystems of China , 2012 .

[53]  J. Garratt,et al.  Incorporation of a high-roughness lower boundary into a mesoscale model for studies of dry deposition over complex terrain , 1995 .

[54]  G. Bohrer,et al.  Estimating plot-level tree structure in a deciduous forest by combining allometric equations, spatial wavelet analysis and airborne LiDAR , 2012 .

[55]  Gil Bohrer,et al.  Sustained carbon uptake and storage following moderate disturbance in a Great Lakes forest. , 2013, Ecological applications : a publication of the Ecological Society of America.

[56]  M. Raupach,et al.  Averaging procedures for flow within vegetation canopies , 1982 .

[57]  K. Weligepolage,et al.  Effect of sub-layer corrections on the roughness parameterization of a Douglas fir forest , 2012 .

[58]  John Finnigan,et al.  Coordinate Systems and Flux Bias Error , 2004 .

[59]  H. Schmid,et al.  Multi-year convergence of biometric and meteorological estimates of forest carbon storage , 2008 .

[60]  A. Grelle,et al.  Flux-profile relationships over a boreal forest-roughness sublayer corrections , 1999 .

[61]  A. Sumida,et al.  Aerodynamic Scaling for Estimating the Mean Height of Dense Canopies , 2008 .

[62]  M. Raupach Drag and drag partition on rough surfaces , 1992 .

[63]  Gil Bohrer,et al.  Exploring the Effects of Microscale Structural Heterogeneity of Forest Canopies Using Large-Eddy Simulations , 2009 .

[64]  J. Finnigan,et al.  A simple unified theory for flow in the canopy and roughness sublayer , 2007 .

[65]  W. Cohen,et al.  North American forest disturbance mapped from a decadal Landsat record , 2008 .

[66]  Michael R. Raupach,et al.  Simplified expressions for vegetation roughness length and zero-plane displacement as functions of canopy height and area index , 1994 .

[67]  S. Dupont,et al.  Influence of stability and seasonal canopy changes on micrometeorology within and above an orchard canopy: The CHATS experiment , 2012 .

[68]  J. Garratt Flux profile relations above tall vegetation , 1978 .

[69]  S. Wofsy,et al.  Mechanistic scaling of ecosystem function and dynamics in space and time: Ecosystem Demography model version 2 , 2009 .

[70]  J. R. Garratt,et al.  Surface influence upon vertical profiles in the atmospheric near-surface layer , 1980 .