Dr Benjamin Dechant

Research Interests
I am interested in the spatio-temporal patterns and dynamics of vegetation with a focus on photosynthesis, leaf/canopy traits, as well as diversity. I am using both measurements and models from the leaf over the canopy up to global scales and am working with remote sensing techniques that include reflectance-based approaches as well as those based on lidar and (sun-induced) chlorophyll fluorescence. In terms of modelling, I am using process-based models and statistical approaches (including ML) as well as their combination. Currently, I am working on the sDiv synthesis project sTRAITS: Integrating in-situ, upscaled and air- and spaceborne observations of plant traits.
Short CV
2021 - : Postdoc, German Center for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Synthesis Centre for Biodiversity Sciences (sDiv), Leipzig, Germany
2017-2021: Postdoc, Seoul National University, South Korea
2013-2017: PhD, Helmholtz Centre for Environmental Research - UFZ / Leipzig University, Leipzig, Germany
2007-2012: BSc Physics, MSc Ecology, Ecole Normale Superieure, Paris, France
(including gap year for language studies in East Asia 2009/2010)
2005-2007: Physics pre-diploma (Vordiplom), Technical University Munich (TUM), Germany
Selected Publications
Dechant, B., Ryu, Y., Badgley, G., Köhler, P., Rascher, U., Migliavacca, M., Zhang, Y., Tagliabue, G., Guan, K., Rossini, M., Goulas, Y., Zeng, Y., Frankenberg, C., Berry, J.A., 2022. NIRvP: A robust structural proxy for sun-induced chlorophyll fluorescence and photosynthesis across scales. Remote Sensing of Environment 268, 112763. https://doi.org/10.1016/j.rse.2021.112763
Hase, N., Doktor, D., Rebmann, C., Dechant, B., Mollenhauer, H., Cuntz, M., 2022. Identifying the main drivers of the seasonal decline of near-infrared reflectance of a temperate deciduous forest. Agricultural and Forest Meteorology 313, 108746. https://doi.org/10.1016/j.agrformet.2021.108746
Zeng, Y., Chen, M., Hao, D., Damm, A., Badgley, G., Rascher, U., Johnson, J.E., Dechant, B., Siegmann, B., Ryu, Y., Qiu, H., Krieger, V., Panigada, C., Celesti, M., Miglietta, F., Yang, X., Berry, J.A., 2022. Combining near-infrared radiance of vegetation and fluorescence spectroscopy to detect effects of abiotic changes and stresses. Remote Sensing of Environment 270, 112856. https://doi.org/10.1016/j.rse.2021.112856
Kim, J., Ryu, Y., Dechant, B., Lee, H., Kim, H. S., Kornfeld, A., & Berry, J. A. (2021). Solar-induced chlorophyll fluorescence is non-linearly related to canopy photosynthesis in a temperate evergreen needleleaf forest during the fall transition. Remote Sensing of Environment, 258, 112362. doi.org/10.1016/j.rse.2021.112362
Baldocchi, D. D., Ryu, Y., Dechant, B., Eichelmann, E., Hemes, K., Ma, S., Rey Sanchez, C., Shortt, R., Szutu, D., Valach, A., Verfaillie, J., Badgley, G., Zeng, Y., & Berry, J. A. (2020). Outgoing Near Infrared Radiation from Vegetation Scales with Canopy Photosynthesis Across a Spectrum of Function, Structure, Physiological Capacity and Weather. Journal of Geophysical Research: Biogeosciences. doi.org/10.1029/2019JG005534
Dechant, B., Ryu, Y., Badgley, G., Zeng, Y., Berry, J. A., Zhang, Y., Goulas, Y., Li, Z., Zhang, Q., Kang, M., Li, J., & Moya, I. (2020). Canopy structure explains the relationship between photosynthesis and sun-induced chlorophyll fluorescence in crops. Remote Sensing of Environment, 241, 111733. doi.org/10.1016/j.rse.2020.111733
Dechant, B., Ryu, Y., Kang, M. (2019) Making full use of hyperspectral data for gross primary productivity estimation with multivariate regression: Mechanistic insights from observations and process-based simulations. Remote Sensing of Environment 234, 111435. doi.org/10.1016/j.rse.2019.111435
Zeng, Y., Badgley, G., Dechant, B., Ryu, Y., Chen, M., & Berry, J. A. (2019). A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence. Remote Sensing of Environment, 232, 111209. doi.org/10.1016/j.rse.2019.05.028
Yang, K., Ryu, Y., Dechant, B., Berry, J. A., Hwang, Y., Jiang, C., … Yang, X. (2018). Sun-induced chlorophyll fluorescence is more strongly related to absorbed light than to photosynthesis at half-hourly resolution in a rice paddy. Remote Sensing of Environment, 216, 658–673. doi.org/10.1016/j.rse.2018.07.008
Dechant, B., Cuntz, M., Vohland, M., Schulz, E., & Doktor, D. (2017). Estimation of photosynthesis traits from leaf reflectance spectra: Correlation to nitrogen content as the dominant mechanism. Remote Sensing of Environment, 196, 279–292. doi.org/10.1016/j.rse.2017.05.019
Links
Google Scholar: scholar.google.com/citations
ResearchGate: https://www.researchgate.net/profile/Benjamin_Dechant
sDiv synthesis project sTRAITS: www.idiv.de/straits
iDiv publications
Dong, N., Dechant, B., Wang, H., Wright, I. J., Prentice, I. C.
(2023): Global leaf-trait mapping based on optimality theory. Global Ecology and BiogeographyKim, J., Ryu, Y., Dechant, B.
(2022): Development of a filter-based near-surface remote sensing system to retrieve far-red sun-induced chlorophyll fluorescence. Remote Sensing of EnvironmentKong, J., Ryu, Y., Liu, J., Dechant, B., Rey-Sanchez, C., Shortt, R., Szutu, D., Verfaillie, J., Houborg, R., Baldocchi, D. D.
(2022): Matching high resolution satellite data and flux tower footprints improves their agreement in photosynthesis estimates. Agricultural and Forest MeteorologyZeng, Y., Hao, D., Huete, A., Dechant, B., Berry, J., Chen, J. M., Joiner, J., Frankenberg, C., Bond-Lamberty, B., Ryu, Y., Xiao, J., Asrar, G. R.Chen, M.
(2022): Optical vegetation indices for monitoring terrestrial ecosystems globally. Nature Reviews Earth & Environment
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04103 Leipzig
Germany

A.01.02


Leipzig University