General Site Information
LaThuid:US-UMB
Site Name:Univ. of Mich. Biological Station
Network:AmeriFlux
Sec. Network(s):Unknown
Latitude:45.5598
Longitude:-84.7138
Elevation(m):234
IGBP:DBF
DescriptionSchmid et al. 2003, JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 108, NO. D14, 4417, doi:10.1029/2002JD003011
Site Citation:
Site Acknowledgment:
Data Usage Note:TBA
Primary Contact:Peter Curtis
Curator:Tom Boden
Anc Curator:Tom Boden
Years Of Data:5 (Duration: 1999 - 2003)
Tower Status:Active (1999 - Present)
Site image(s):Image
VE Cutouts:Max Zoom :: Mid 1 Zoom :: Mid 2 Zoom :: Min Zoom

Fluxnet Research Proposals Using this Site
CoordinatorTitleCollaboratorsTopic
Rodrigo VargasA mycocentric perspective on environmental factors controlling CO2 fluxes from terrestrial ecosystemsVargas; Baldocchi; Allen; Hasselquist
May MyklebustLAI influence on bias in night time eddy covariance data during windy conditionsMyklebust; Misson; Wohlfahrt
Sonia SeneviratneMulti-scale land-atmosphere interactionsSeneviratne; Reichstein; Ciais; Buchmann; StockliBiophysical feedbacks, Drought effects
Andrew RichardsonExploring relationships among carbon exchange, foliar nitrogen, and canopy albedo at global scalesRichardson; Ollinger; Martin; Hollinger
Timothy W. HiltonWhat is the spatial and temporal coherence of flux tower signalsHilton; Davis; Ciais; DesaiUp-scaling, regional, process-oriented
Christopher A. WilliamsCarbon Dioxide and Water Flux Responses to Extreme Weather and Climate AnomaliesWilliams; Munger; Hollinger; Stoy; Richardson; Schaefer; Stockli; SchwalmTemporal variability; extremes
Christian BernhoferAnalyzing long-term FLUXNET measurements for reliable ET values across ecosystems types and across climatic regionsBernhofer; Koestner; Knohl; Lindroth; Grünwald; RiedelH2O
Andrew RichardsonEffect of spring onset and autumn senescence date on forest-atmosphere CO2 exchangeRichardson;Piao;Ciais;BreonPhenology; growing season
Mirco MigliavaccaSemi-empirical modelling of ecosystem respiration: review, improved algorithm and integration with Earth observation dataMigliavacca; Reichstein; Richardson; LasslopEcosytem respiration; spatio-temporal
Enrico TomelleriCalibration of a light use efficiency model using FLUXNET dataTomelleri;Reichstein;Papale;GornerUp-scaling, global, data-oriented
Gitta LasslopExtended hyperbolic light response curve including VPD effects to derive GPP estimates mainly based on daytime dataLasslop; Reichstein; Papale
Chuixiang YiClimate control of terrestrial carbon sequestrationYi; Ricciuto; Monson
Andrew JarvisA data-based cross-site evaluation of (optimal) carbon gain and water use strategies as expressed in FLUXNET eddy covariance dataJarvis;StauchC-H2O
ShiLong PiaoEffect of snow change on the C balance in various northern ecosystemsPiao;Ciais;Reichstein;LuyssaertSnow effects; Boreal-Tundra
Christian BeerUpscaling mean annual GPP from ecosystem level to the global land surfaceBeer; Tomelleri; Reichstein; Carvalhais; Jung; Papale; Peylin; Ciais
Philippe CiaisWhat the eddy-covariance flux measurements tell us about prior errors in CO2-flux inversion schemesChevallier; Ciais; Maignan; Wang; Reichstein
Martin JungIdentifying environmental and biophysical controls of monthly carbon and water fluxesJung; Reichstein; Papale; Tomelleri
Enrico TomelleriClimatic effects on the inter‐annual variability of net ecosystem fluxes of North America and EuropeTomelleri; Migliavacca; Carvalhais
Dario PapaleA new global spatialized estimate of NEP, GPP and TER and analysis of uncertainty and limiting factors using data driven models and eddy covariance measurementsPapale, Reichstein, TomelleriUp-scaling, global, data-oriented

Local Climate Information
Climate:Dfb
Climate Group:Temperate-Continental with hot or warm summers
Precip:803.44
TA(C):5.83
TA(C) max:11.55
TA(C) min:0.01

Instrument Information
InstrumentsBrand/modelLevels/depthsTypeFrequencyCommentReference
(Other)profile 3 levelsHank Loescher, February 2005
RTDIntercalibration Team
AG_BIOMASS_NWTPTAQ (bracken fern) is the major (>95% by mass) of the non-woody species found at UMBS. Destructive harvest of PTAQ fronds was used to develop the relationship 'frond Dry Mass (g) = 0.0044*(l*w)+1.6353' where l = frond length (cm) and w = frond width (cm), R2=0.81. PTAQ biomass was estimated in the 1.13 ha plot surrounding the flux tower by measuring frond dimensions in 36 - 1 m2 plots.
AG_BIOMASS_SFShrubs are an insignificant component of UMBS forest understory and were not measured.
AG_BIOMASS_SWShrubs are an insignificant component of UMBS forest understory and were not measured.
AG_BIOMASS_TFDetermined from autumnal leaf litter and green leaf SLA. Years 1997 - 2001, 61 plots. Years 2002 - 2003, 31 plots. Years 2004 - 2006, 51 plots.
AG_BIOMASS_TT
AG_BIOMASS_TWWoody Biomass = a*D^b where D = DBH (diam. at 1.37 m) and a and b are species specific coefficients. Multiply result by woody C concentration to obtain AG_BIOMASS_TW. Species specific coefficients for a*D^b are: ACRU a=0.03117, b=2.778; BEPA a=0.0301, b=2.8387; FAGR a=0.1892, b=2.3097; PIST a=0.0408, b=2.5735; POGR4 a=0.1387, b=2.3498; POTR a=0.0589, b=2.6235; QURU a=0.0398, b=2.7734. For years 1998 and 2001 all trees (>7700 trees) in 61 plots (1 - 1.13 ha plot + 60 - 0.08 ha plots) were directly measured for DBH. For years 1999, 2000, and 2002 DBH was estimated for all trees based on band dendrometers installed on ~ 40% of trees of DBH>= 10 cm in 31 plots. For year 2003, DBH was directly measured on an additional 20 - 0.08 ha plots and DBH estimated from band dendrometers in 31plots. For years 2004 - 2006, DBH estimated from band dendrometers installed on ~ 40% of trees of DBH>= 10 cm in 51 plots.
AG_PROD_TFsee AG_BIOMASS_TF_METHOD
AG_PROD_TWPrior year AG_BIOMASS_TW subtracted from current year AG_BIOMASS_TW
AnemometerCampbell: CSAT33-D, sonicHank Loescher, February 2005
BarometerVaisala: PTB101BHank Loescher, February 2005
CR_BIOMASSCoarse root biomass determined initially in 1999 from soil cores (18 plots with 5 pooled 5 cm dia. soil cores per site). Initial 1999 CR biomass agreed closely with regression of above biomass density versus below ground biomass density found in Cairns et al, 1997, Oecologia, 111: 1-11. A linear regression was developed using the Cairns et al data along with UMBS data where below ground biomass density (kg/ha) = 0.2523*ABD+.6923, where ABD = above ground biomass density (kg/ha).
CR_PRODPrior year CR_BIOMASS subtracted from current year CR_BIOMASS
FR_BIOMASSSee Gough et al., Agric Forest Meteorol. (2008), 148:158-170
FR_PRODSee Gough et al., Agric Forest Meteorol. (2008), 148:158-170
Gas AnalyzerLI-COR: LI-6262CO2/H2O, infraredHank Loescher, February 2005
NEPSee Gough et al., Agric Forest Meteorol. (2008), 148:158-170
Quantum sensorLI-COR: Li-190SAIntercalibration Team
RadiometerKipp & Zonen: CNR 1netHank Loescher, February 2005
REBS: Q*7.1netHank Loescher, February 2005
Rs_MEANLI_COR 6400 with 6400-09 soil chamber. Each reported value (see separate UMBS_Rs data files) is the mean of 5 - 24 individual measurements in 5 - 8 plots.
SPP_O_PERCOverstory trees defined as trees >=10cm DBH. Direct measurement of trees within a 60 m radius (1.13 ha plot) of flux tower and 60 - 0.08 ha plots within 1 km of flux tower.
SPP_U_PERCUnderstory trees defined as trees < 10cm DBH. Direct measurement of trees within a 60 m radius (1.13 ha plot) of flux tower and 60 - 0.08 ha plots within 1 km of flux tower.

Publications
Bibliography
Schmid, H. P.; Su, H.-B.; Vogel, C. S.; Curtis, P. S. 2003 Ecosystem-atmosphere exchange of carbon dioxide over a mixed hardwood forest in northern lower Michigan. J. Geophys. Res.Vol. 108, No. D14, 4417. 10.1029/2002JD003011
P. S. Curtis, C. S. Vogel, C. M. Gough, H. P. Schmid, H.-B. Su, B. D. Bovard. 2005. Respiratory carbon losses and the carbon-use efficiency of a northern hardwood forest, 1999–2003. New Phytologist. Vol 167, 437-456.
Shelley Pressley; Brian Lamb; Hal Westberg; Christoph Vogel. 2006. Relationships among canopy scale energy fluxes and isoprene flux derived from long-term, seasonal eddy covariance measurements over a hardwood forestAgricultural and Forest Meteorology. 136:3-4, 188-202.
K. A. Hibbard; B. E. Law; M. Reichstein; J. Sulzman. 2005. An analysis of soil respiration across northern hemisphere temperate ecosystemsBiogeochemistry. 73:1, 29-70.
A. J. Jarvis; V. J. Stauch; K. Schulz; P. C. Young. 2004. The seasonal temperature dependency of photosynthesis and respiration in two deciduous forestsGlobal Change Biology. 10:6, 939-950.
E. A. Davidson; K. Savage; P. Bolstad; D. A. Clark; P. S. Curtis; D. S. Ellsworth; P. J. Hanson; B. E. Law; Y. Luo; K. S. Pregitzer; J. C. Randolph; D. Zak. 2002. Belowground carbon allocation in forests estimated from litterfall and IRGA-based soil respiration measurementsAgricultural and Forest Meteorology. 113:1-4, 39-51.
P. S. Curtis; P. J. Hanson; P. Bolstad; C. Barford; J. C. Randolph; H. P. Schmid; K. B. Wilson. 2002. Biometric and eddy-covariance based estimates of annual carbon storage in five eastern North American deciduous forestsAgricultural and Forest Meteorology. 113:1-4, 3-19.
D. E. Rothstein; D. R. Zak; K. S. Pregitzer; P. S. Curtis. 2000. Kinetics of nitrogen uptake by Populus tremuloides in relation to atmospheric CO2 and soil nitrogen availabilityTree Physiology. 20:4, 265-270.

NOTE: These pages show the current information available at http://www.fluxdata.org about this tower. If any of this information is wrong or missing, please submit corrections and updates via the form at http://www.fluxdata.org/AncDataUpdate/default.aspx.