- Ph.D. Bio-Environmental Engineering University of Nebraska, Lincoln, 1982
- B.S. Atmospheric Science University of California, Davis, 1977
biometeorology, biosphere-atmosphere trace gas fluxes, ecosystem ecology, climate change
My research program focuses on studying: ‘the physical, biological and chemical processes that govern trace gas and energy exchange between the terrestrial biosphere and the atmosphere’. In layman terms, my broad objective is to understand how the terrestrial biosphere ‘breathes’; plants and microbes exchange trace gases, in and out of the atmosphere, in their quest to acquire the energy needed to support their metabolism.
The science of biometeorology involves the study of a suite of biophysical processes that exert positive and negative feedbacks upon one another, across a spectrum of time and space scales.
Many of the biophysical processes (e.g. turbulence and diffusion, photon transfer through vegetation, evaporation and transpiration, photosynthesis, plant and soil respiration, and stomatal mechanics) of interest are non-linear functions of such meteorological state variables as light, wind, temperature, humidity and CO2 concentration. In turn, that state of these meteorological variables is a function of the rates at which leaves and soils exchange mass, energy and momentum to and from the atmosphere.
The time scales of my research span events occurring on periods of seconds, hours, days, seasons, years and decades. The spatial scales of my work differ vertically and horizontally. The vertical dimensions of my work spans the scales associated with soil profile (-1 m), plant canopy (10+ m) and the planetary boundary layer (1000+ m). The horizontal dimensions of my work span the scales of a leaf (0.1 m), the fetch across a landscape (100 - 1000 m), and the continent and globe (1000-10,000 km).
‘Big Questions’ I aim to address include:
What are the influences of weather and climate, the structure and function of plants and ecosystems, biological, physical and chemical properties of soils, and land management and land use change on the trace gas (H2O, CO2, 13CO2, CH4, C5H10) exchange of ecosystems?
How do leaves and plants assemble as canopies and landscapes to capture light, maximize carbon uptake and minimize water loss in a changing world and with different amounts of available water?
What is the most parsimonious set of rules and algorithms that can be used to up-scale and integrate complex and non-linear biophysical processes, associated with mass and energy exchange, across a spectrum of time and space scales?
What are the roles complex and non-linear processes, like scale-emergent properties, pulses, lags and switches, on the prediction of biosphere-atmosphere interactions?
How can we produce accurate information about trace gas fluxes to and from the biosphere that is ‘everywhere and all of the time’?
Experimental and Theoretical Approaches
My research approach involves the coordinated use of long-term, quasi-continuous flux measurements and theoretical models to study biosphere-atmosphere interactions. The eddy covariance technique is the primary experimental method I use, and helped pioneer, to measure CO2, water vapor and methane exchange across natural ecosystems. This micrometeorological method uses sonic anemometry and infrared spectroscopy to measure the covariance between vertical wind velocity and fluctuations in the concentration of greenhouse gases (water vapor, carbon dioxide and methane) and temperature. Fluxes deduced by this method are direct, continuous, and in situ, making them representative of the integrated vegetation-soil system at the stand scale and without disturbing the underlying vegetation. To interpret these flux measurement, my field studies also involve measuring a comprehensive suite of biophysical variables. These measurements includes the physiological status of the vegetation and leaves (photosynthetic capacity, stomatal and mesophyll conductances, pre-dawn water potential, sapflow), biological activity of the soil (soil respiration, soil CO2) the physical structure of the canopy (leaf area index, canopy height, leaf area index, its vertical distribution and seasonal phenology and root population) and the physical and chemical properties of the soil and water (water table depth, texture, evaporation, heat transfer, hydraulic conductivity, carbon and nitrogen content, root distribution, oxygen concentration). To upscale our flux information in space, we rely on hyperspectral remote sensing and LIDAR, collected either at on towers at our field sites, by aircraft or from satellites circling the planet and flux footprint modeling to determine where the gases are going to or coming from.
Since coming to Berkeley, I have established nine biometeorological flux field study sites that are measuring carbon dioxide, water and energy fluxes continuously and for multiple years; four of these sites are also measuring methane fluxes. One set of sites started circa 2000/2001 and are associated with semi-arid ecosystems; one site is over an annual grassland and the other is over an oak grass savanna, near Ione, CA. The goal of this work is to examine how contrasting plant functional types (trees vs grasses) have adapted to their semi-arid climate and how their carbon metabolism and water balance responds to climate and weather forcings and seasonal drought. Because of the Mediterranean climate, this set of sites is a natural laboratory for understanding how ecosystems respond to seasonal and interannual variations in rainfall and temperature.
The second set of sites is associated with flooded and drained peatlands in the Sacramento-San Joaquin Delta. In this region we are or have collected long-term greenhouse gas flux measurements over a degraded peatland pasture, 3 newly restored wetlands, a 19 year-old restored wetland and a suite of agricultural crops (alfalfa, corn, rice, pasture). There, our goal is to study the unanticipated effects of wetland restoration, land use, land use change and weather on greenhouse gas fluxes (water vapor, carbon dioxide and methane). This project gives us an opportunity to study the scientific, management and policy aspects of this system. It is noteworthy that the Delta is the conduit of water transfer for over 20 million Californians. The Delta is vulnerable because over 10 m of peat have subsided since it was drained 100 plus years ago for agricultural. We have developed strategies to stem or reverse further soil subsidence to prevent this levee system from collapsing because much of the land is below sea level, and understand the ecosystem costs and benefits of doing so. Replacing agriculture with flooded rice or wetlands are two options.
I extend the scope of my flux measurement work to the national and global scales, by leading the global FLUXNET project (http://fluxnet.fluxdata.org/), an international network of long term eddy flux measurement sites that has grown to over 500 sites world-wide, and by being co-investigator of the AmeriFlux network (http://ameriflux.lbl.gov/). Through the FLUXNET and AmeriFlux projects, my colleagues and I have developed a functional database on flux and meteorological information from over 400 sites and 2500 site years of data. This database is proving to be a critical resource for producing the next generation of earth science synthesis studies on: 1) the differential control of carbon and water fluxes across climate and ecological gradients; 2) the upscaling of network fluxes to the region and globe with remote sensing; and 3) the validation of vegetation-land-atmosphere transfer models that compute the lower boundary condition of weather, climate and biogeochemical cycling models.
The theoretical aspect of my work involves continued development and utilization of the biophysical model family I developed, called CANVEG. The model has been developed to compute fluxes of carbon dioxide, water vapor, sensible heat, ozone, sulfur dioxide, isoprene and the stable carbon isotope, 13CO2. I use CANVEG as a tool to diagnose the complex interactions of environment and biology that affect mass and energy exchange of plant canopies. The model abstracts the canopy as a multi-layer, one-dimensional system and integrates leaf-scale fluxes to the canopy dimension. The model framework is based on an assortment of state-of-art, mechanistic algorithms that are derived from micrometeorological, eco-physiological, and biogeochemical theory. The micrometeorological modules compute leaf and soil energy exchange, turbulent diffusion, scalar concentration profiles and radiative transfer through the canopy. Environmental variables, computed with the micrometeorological module, in turn, drive the ecophysiological modules that compute leaf photosynthesis, stomatal conductance, transpiration and leaf, bole, and soil/root respiration. Because most of the incumbent processes are non-linear functions of environmental variables, the model treats trace gas fluxes, to and from, sun and shade leaves separately.
Current modeling work involves the applying the one-dimensional CANVEG model to alfalfa to interpret novel flux measurements of the stable carbon isotope (13CO2) to partition net carbon fluxes into their gross fluxes, ecosystem photosynthesis and respiration.
Moving up from the scale of landscapes to that of the globe, we developed a simpler version of CANVEG, called BESS, which can be applied at continental to global scales (Ryu et al, 2011, Global Biogeochemical Cycles). We are executing the model with remote sensing data (1 km resolution measurements from the NASA MODIS sensors on the TERRA and AQUA satellites) and are parameterizing it by using state of art ideas, algorithms and scaling rules in biometeorology and ecosystem ecology. With this model we have produced new, and in our opinion, better bottom-up estimates of global evaporation and photosynthesis. We are now interrogating model results to estimate evaporation across the state of California and evaluate the interannual variability in state-wide evaporation.
The detection of cause and effect of the huge and multifaceted datasets were are collecting is complicated by many confounding and co-varying variables in the natural environment and the super-positioning of fast, slow and slower processes upon one another. My team and I are disentangling the various time scales of variability by applying different mathematical and statistical methods to our long time series, reaching a decade. Approaches we have utilized include Fast Fourier Transforms, Wavelets, Granger Causality, Information Theory and Artificial Neural Networks. By combining wavelet and information theory and artificial neural networks we can digest huge datasets and better assess the controlling influence of biophysical drivers on trace gas fluxes, explore the roles of leads and lags and the time scales at which explanatory power may emerge or decline.
Finally, I devote a subset of my research efforts to the field of Agricultural Meteorology and Climatology. I have been examining how changes in the climate are affecting the amount of winter chill accumulated by fruit trees in the Central Valley of California. Most recently we have tested the hypothesis whether or not there is a decline in winter fog in the Central Valley and if this is changing the energy balance of dormant buds and affecting their winter chill accumulation. We conducted an area-wide study by stitching together 30 years of satellite remote sensing data to track fog extent and occurrence.
More information can be found in the Biometeorology Lab website.
Monson, R. and Baldocchi, D., 2014. Terrestrial Biosphere-Atmosphere Fluxes. Terrestrial Biosphere-Atmosphere Fluxes. Cambridge Univ Press, Cambridge, 1-487 pp. ISBN-13: 978-1107040656
Ma, S., J. L. Osuna, J. Verfaillie, and D. D. Baldocchi. 2017. Photosynthetic responses to temperature across leaf–canopy–ecosystem scales: a 15-year study in a Californian oak-grass savanna. Photosynthesis research:1-15. Doi:10.1007/s11120-017-0388-5
Chamberlain, S., Verfaillie, J, Eichelmann, E., Hemes, K. Baldocchi, D.D. Evaluation of density corrections to methane fluxes measured by open-path eddy covariance over contrasting landscapes, Boundary-Layer Meteorology. doi:10.1007/s10546-017-0275-9.
Baldocchi, Dennis; Chu, Housen; Reichstein, Markus. Inter-Annual Variability of Net and Gross Ecosystem Carbon Fluxes: A Review. Agricultural and Forest Meteorology https://doi.org/10.1016/j.agrformet.2017.05.015
Fisher, J. B., F. Melton, E. Middleton, C. Hain, M. Anderson, R. Allen, M. F. McCabe, S. Hook, D. Baldocchi, P. A. Townsend, A. Kilic, K. Tu, D. D. Miralles, J. Perret, J.-P. Lagouarde, D. Waliser, A. J. Purdy, A. French, D. Schimel, J. S. Famiglietti, G. Stephens, and E. F. Wood. 2017. The future of evapotranspiration: Global requirements for ecosystem functioning, carbon and climate feedbacks, agricultural management, and water resources. Water Resources Research 53:2618-2626. doi/10.1002/2016WR020175
Pastorello, G. Z., D. Papale, H. Chu, C. Trotta, D. A. Agarwal, E. Canfora, D. D. Baldocchi, and M. S. Torn (2017), A new data set to keep a sharper eye on land-air exchanges, Eos, 98, https://doi.org/10.1029/2017EO071597.
Liu, Y., M. J. Hill, X. Zhang, Z. Wang, A. D. Richardson, K. Hufkens, G. Filippa, D. D. Baldocchi, S. Ma, J. Verfaillie, and C. B. Schaaf. 2017. Using data from Landsat, MODIS, VIIRS and PhenoCams to monitor the phenology of California oak/grass savanna and open grassland across spatial scales. Agricultural and Forest Meteorology 237–238:311-325.
Wharton, S., S. Ma, D. D. Baldocchi, M. Falk, J. F. Newman, J. L. Osuna, and K. Bible. 2017. Influence of regional nighttime atmospheric regimes on canopy turbulence and gradients at a closed and open forest in mountain-valley terrain. Agricultural and Forest Meteorology 237–238:18-29. http://dx.doi.org/10.1016/j.agrformet.2017.01.020
Chu, H.*, D. D. Baldocchi, R. John, S. Wolf*, and M. Reichstein (2017), Fluxes All of the Time? A Primer on the Temporal Representativeness of FLUXNET, J. Geophys. Res. Biogeosci., 122, doi:10.1002/2016JG003576.
Oikawa, P. Y.*, G. D. Jenerette, S. H. Knox#, C. Sturtevant*, J. Verfaillie*, I. Dronova, C. M. Poindexter, E. Eichelmann*, and D. D. Baldocchi (2017), Evaluation of a hierarchy of models reveals importance of substrate limitation for predicting carbon dioxide and methane exchange in restored wetlands, J. Geophys. Res. Biogeosci., 122, doi:10.1002/2016JG003438.
Miner, G. L., Bauerle, W. L., and Baldocchi, D. D. (2017) Estimating the sensitivity of stomatal conductance to photosynthesis: A review. Plant, Cell & Environment, doi: 10.1111/pce.12871.
McNicol, G., Sturtevant, C. S.*, Knox, S. H#., Dronova, I., Baldocchi, D. D. and Silver, W. L. (2017), Effects of seasonality, transport pathway, and spatial structure on greenhouse gas fluxes in a restored wetland. Glob Change Biol. doi:10.1111/gcb.13580
Oikawa, P. Y.*, C. Sturtevant*, S. H. Knox#, J. Verfaillie*, Y. W. Huang, and D. D. Baldocchi. 2017. Revisiting the partitioning of net ecosystem exchange of CO2 into photosynthesis and respiration with simultaneous flux measurements of 13CO2 and CO2, soil respiration and a biophysical model, CANVEG. Agricultural and Forest Meteorology 234–235:149-163.
Ma, S.*, D. Baldocchi, S. Wolf*, and J. Verfaillie*. 2016. Slow ecosystem responses conditionally regulate annual carbon balance over 15 years in Californian oak-grass savanna. Agricultural and Forest Meteorology 228–229:252-264.
Xin, F., X. Xiao, B. Zhao, A. Miyata, D. Baldocchi, S. Knox#, M. Kang, K.-m. Shim, S. Min, B. Chen, X. Li, J. Wang, J. Dong, and C. Biradar. 2017. Modeling gross primary production of paddy rice cropland through analyses of data from CO2 eddy flux tower sites and MODIS images. Remote Sensing of Environment 190:42-55.
Baldocchi, D., Y. Ryu, and T. Keenan. 2016. Terrestrial Carbon Cycle Variability. F1000Research. http://f1000research.com/articles/5-2371/v1 DOI: 10.12688/f1000research.8962.1
Wang, J., X. M. Xiao, P. Wagle, S. Y. Ma*, D. Baldocchi, A. Carrara, Y. Zhang, J. W. Dong, and Y. W. Qin. 2016. Canopy and climate controls of gross primary production of Mediterranean-type deciduous and evergreen oak savannas. Agricultural and Forest Meteorology 226:132-147. http://dx.doi.org/10.1016/j.agrformet.2016.05.020
Wolf, S*., T. F. Keenan, J. B. Fisher, D. D. Baldocchi, A. R. Desai, A. D. Richardson, R. L. Scott, B. E. Law, M. E. Litvak, N. A. Brunsell, W. Peters, and I. T. van der Laan-Luijkx. 2016. Warm spring reduced carbon cycle impact of the 2012 US summer drought. Proceedings of the National Academy of Sciences. Doi: 10.1073/pnas.1519620113
Poindexter, C. M., D. D. Baldocchi, J. H. Matthes#, S. H. Knox#, and E. A. Variano. 2016. The contribution of an overlooked transport process to a wetland's methane emissions. Geophysical Research Letters, doi: 10.1002/2016gl068782
Baldocchi, D., S. Knox#, I. Dronova, J. Verfaillie*, P. Oikawa*, C. Sturtevant*, J. H. Matthes#, and M. Detto*. 2016. The impact of expanding flooded land area on the annual evaporation of rice. Agricultural and Forest Meteorology 223:181-193. http://dx.doi.org/10.1016/j.agrformet.2016.04.001
Knox, S#. H., J. H. Matthes#, C. Sturtevant*, P. Y. Oikawa*, J. Verfaillie*, and D. Baldocchi. 2016. Biophysical controls on interannual variability in ecosystem-scale CO2 and CH4 exchange in a California rice paddy. Journal of Geophysical Research-Biogeosciences 121:978-1001. Doi: 10.1002/2015jg003247
Anderson, F. E., B. Bergamaschi, C. Sturtevant*, S. Knox#, L. Hastings, L. Windham-Myers, M. Detto*, E. L. Hestir, J. Drexler, R. L. Miller, J. H. Matthes#, J. Verfaillie*, D. Baldocchi, R. L. Snyder, and R. Fujii. 2016. Variation of energy and carbon fluxes from a restored temperate freshwater wetland and implications for carbon market verification protocols. Journal of Geophysical, Biogeoscience DOI: 10.1002/2015JG003083
Fellow, American Geophysical Union
American Meteorological Society Award for Outstanding Achievement in Biometeorology
Thompson Reuters Highly-Cited Researcher in Agricultural Sciences, 2014, 2015, 2016, 2017, ‘in recognition of ranking among the top 1% of researchers for most cited documents, in their specific field’ http://highlycited.com/
Thompson Reuters Highly-Cited Researcher in Environmental Science/Ecology, 2015
ESPM 2, The Biosphere
ESPM 100es, Methods for Environmental Science
ESPM 111, Ecosystem Ecology
ESPM 129, Biometeorology
ESPM 228, Advanced Topics in Biometeorology and Micrometeorology
Dennis D. Baldocchi
130 Mulford Hall #3114
Berkeley, CA 94720