CCE banner
 
Funded Research

Scaling and evaluation of ecosystem carbon uptake through integration of multi-scale remote sensing with AmeriFlux and NACP field observations.

Ollinger, Scott: University of New Hampshire (Project Lead)
Hollinger, David: USDA Forest Service (Co-Investigator)
Martin, Mary: University of New Hamsphire (Co-Investigator)
Richardson, Andrew: Harvard University (Co-Investigator)
Smith, Marie-Louise (ML): US Forest Service, Northern Research Station (Co-Investigator)
Xiao, Xiangming: University of Oklahoma (Co-Investigator)
Day, Michelle: University of New Hampshire (Participant)
Jenkins, Julian: (Participant)
Lepine, Lucie: University of New Hamphire (Participant)
Silverberg Sallade, Sarah: University of New Hampshire (Participant)

Project Funding: 2005 - 2007

NRA: 2004 NASA: Carbon Cycle Science   

Funded by USDA FS, NASA

Abstract:
To date, the majority of studies addressing spatial patterns of vegetation carbon gain have focused on remote sensing of canopy leaf area index (LAI), which has been related to productivity across large resource gradients and can be estimated using spectral vegetation indices such as NDVI. However, a growing body of evidence suggests that approaches based solely on LAI may be problematic in dense plant canopies and in systems where variation in growth is driven to a greater extent by variation in leaf-level photosynthetic potential. Because photosynthetic potential is strongly related to biochemical constituents such as nitrogen and chlorophyll concentrations in foliage, the ability to incorporate canopy chemistry into large-scale carbon cycling research would represent an important contribution to NACP research goals. The work being conducted under this project is designed to address these issues by using high spectral resolution remote sensing and by focusing on canopy variables associated with photosynthetic capacity as well as leaf area. This is achieved through a series of coordinated field and remote sensing campaigns aimed at mapping canopy nitrogen and chlorophyll concentrations and associated patterns of canopy carbon exchange over a diverse network of AmeriFlux and NACP field sites. Specific tasks designed to meet these goals include the following: (1) Extend present methods for canopy chemistry remote sensing by seeking a generalizeable approach that can be applied across multiple scenes, and vegetation types; (2) Map fine-scale patterns of canopy nitrogen, chlorophyll and leaf area index over a series of AmeriFlux and NACP research sites; (3) Generate high-resolution estimates of GPP and NPP over a ~10x10 km2 area surrounding each site; (4) Use the high-resolution coverages as an intermediary for interpretation and testing of C-flux estimates from existing satellite products (MODIS GPP) and from a newly-developed production efficiency model (VPM); (5) Conduct a cross-site synthesis activity designed to examine the relative influence of canopy structure versus chemistry on broad-scale patterns of canopy CO2 exchange.


Comment: This project involves mapping canopy nitrogen concentrations in the landscapes surrounding a series of flux tower sites and extending estimates more broadly with satellite remote sensing. Data we collect at several sites may be relevant to the Mid-Continent Campaign (Bondville, Ill. Willow Creek, WI, Mead, NE, Morgan Monroe, IN), although most have been sampled in 2005 and 2006. With some coordination, we may be able to collect additional data in 2007. We'd be glad to work with MCI people if this would be useful. We may also be able to add one or two strategically located sites if information on canopy chemistry would be a useful addition to existing plans.

Publications:

Dybzinski, R., Farrior, C. E., Ollinger, S., Pacala, S. W. 2013. Interspecific vs intraspecific patterns in leaf nitrogen of forest trees across nitrogen availability gradients. New Phytologist. 200(1), 112-121. DOI: 10.1111/nph.12353

ANDERSON, J., PLOURDE, L., MARTIN, M., BRASWELL, B., SMITH, M., DUBAYAH, R., HOFTON, M., BLAIR, J. 2008. Integrating waveform lidar with hyperspectral imagery for inventory of a northern temperate forest. Remote Sensing of Environment. 112(4), 1856-1870. DOI: 10.1016/j.rse.2007.09.009

Bradford, J., Weishampel, P., Smith, M., Kolka, R., Birdsey, R. A., Ollinger, S. V., Ryan, M. G. 2009. Detrital carbon pools in temperate forests: magnitude and potential for landscape-scale assessment. Canadian Journal of Forest Research. 39(4), 802-813. DOI: 10.1139/X09-010

Bradford, J.B., P. Weishampel, M-L. Smith, R. Kolka, D.Y. Hollinger, R.A. Birdsey, S.V. Ollinger, and M.G. Ryan. 2008. Landscape-Scale Carbon Sampling Strategy - Lessons Learned. In: Hoover, C.M. (Ed.) Field Measurements for Forest Carbon Monitoring: A Landscape-Scale Approach. Springer, NY, 242p.

Jenkins, J. P., Richardson, A. D., Braswell, B. H., Ollinger, S. V., Hollinger, D. Y., Smith, M. 2007. Refining light-use efficiency calculations for a deciduous forest canopy using simultaneous tower-based carbon flux and radiometric measurements. Agricultural and Forest Meteorology. 143(1-2), 64-79. DOI: 10.1016/j.agrformet.2006.11.008

Martin, M. E., Plourde, L. C., Ollinger, S. V., Smith, M., McNeil, B. E. 2008. A generalizable method for remote sensing of canopy nitrogen across a wide range of forest ecosystems. Remote Sensing of Environment. 112(9), 3511-3519. DOI: 10.1016/j.rse.2008.04.008

Ollinger, S. V., Goodale, C. L., Hayhoe, K., Jenkins, J. P. 2007. Potential effects of climate change and rising CO2 on ecosystem processes in northeastern U.S. forests. Mitigation and Adaptation Strategies for Global Change. 13(5-6), 467-485. DOI: 10.1007/s11027-007-9128-z

Ollinger, S.V., R.N. Treuhaft, B.H. Braswell, J.E. Anderson, M.E. Martin, M-L. Smith. 2007. The Role of Remote Sensing in the Study of Terrestrial Net Primary Production. In: Fahey and Knapp (Eds.), Principles and Standards for Measuring Net Primary Production in Long-Term Ecological Studies. Oxford University Press, London.

Ollinger, S. V., Smith, M. 2005. Net Primary Production and Canopy Nitrogen in a Temperate Forest Landscape: An Analysis Using Imaging Spectroscopy, Modeling and Field Data. Ecosystems. 8(7), 760-778. DOI: 10.1007/s10021-005-0079-5

Plourde L.C., S.V. Ollinger, M.E. Martin and M-L. Smith. 2007. Estimating species abundance in a northern temperate forest using spectral mixture analysis. Photogrammetric Engineering and Remote Sensing, 73(7): 829-840.

Richardson, A. D., Braswell, B. H., Hollinger, D. Y., Jenkins, J. P., Ollinger, S. V. 2009. Near-surface remote sensing of spatial and temporal variation in canopy phenology. Ecological Applications. 19(6), 1417-1428. DOI: 10.1890/08-2022.1

Richardson, A. D., Jenkins, J. P., Braswell, B. H., Hollinger, D. Y., Ollinger, S. V., Smith, M. 2007. Use of digital webcam images to track spring green-up in a deciduous broadleaf forest. Oecologia. 152(2), 323-334. DOI: 10.1007/s00442-006-0657-z

Smith, M-L., D.Y. Hollinger, and S.V. Ollinger. 2008. Estimation of Forest Canopy Nitrogen Concentration (mg/g). In: Hoover, C.M. (Ed.) Field Measurements for Forest Carbon Monitoring: A Landscape-Scale Approach. Springer, NY, 242p.

Zhang, Q., Xiao, X., Braswell, B., Linder, E., Ollinger, S., Smith, M., Jenkins, J. P., Baret, F., Richardson, A. D., Moore, B., Minocha, R. 2006. Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data. Remote Sensing of Environment. 105(3), 189-203. DOI: 10.1016/j.rse.2006.06.013


2008 NASA Carbon Cycle & Ecosystems Joint Science Workshop Posters

  • Canopy Nitrogen, Carbon Assimilation and Surface Reflectance features in U.S. Forest Ecosystems   --   (Scott V Ollinger, David Y Hollinger, Mary E Martin, Andrew D Richardson, Steve E Frolking, Lucie C Plourde, Peter B Reich)   [abstract]
  • Tree species mapping with spectral mixture analysis: Applications for moderate- and fine-scale spatial resolution imagery   --   (Lucie C. Plourde, Jennifer H. Pontius, Scott V. Ollinger, Mary E. Martin, Richard A. Hallett)   [abstract]   [poster]

More details may be found in the following project profile(s):