28. Richardson, A.D., Hufkens, K., Milliman, T., Aubrecht, D.M., Chen, M., Gray, J.M., Johnston, M.R., Keenan, T.F., Klosterman, S.T., Kosmala, M., Melaas, E.K., Friedl, M.A. Frolking, S. (2017) Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data. (accepted)

27. Filippa, G., Cremonese, E., Galvagno, M., Migliavacca, M., Sonnentag, O., Humphreys, E., Hufkens, K., Ryu, Y., Verfaillie, J., Mora di Cella, U., Richardson, A.D. (2017) NDVI derived from IR-enabled digital cameras : applicability across different plant functional types. Agricultural & Forest Meteorology. (accepted)

26. Liu Y., Hill M. J.,Zhang X., Wang Z.,Richardson A.D., Hufkens K., Filippa G., Baldocchi D. D., Ma S., Verfaillie J., Schaaf C.B. (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 & Forest Meteorology, 237, 311-325.


25. Kearsley E., Moonen CJ P., Hufkens K., Doetterl S., Lisingo J., Bosela B. F., Boeckx P., Beeckman H., Verbeeck H. (2016).Model performance of tree height-diameter relationships in the central Congo Basin. Annals of Forest Science (accepted).

24. Kearsley E., Verbeeck H., Hufkens K., Van de Perre F., Doetterl S., Baert G., Beeckman H., Boeckx P., Huygens D. (2016). Functional community structure of African monodominant Gilbertiodendron dewevrei forest influenced by local environmental filtering. Ecology & Evolution (early online: doi://10.1002/ece3.2589).

23. Kosmala M., Crall A., Cheng R., Hufkens K., Henderson S., Richardson A.D. (2016). Season Spotter: Using Citizen Science to validate and scale plant phenology from near-surface remote sensing. Remote Sensing 8, 726.

22. Hufkens, K., Keenan, T. F., Flanagan, L. B., Scott, R. L., Bernacchi, C. J., Joo, E., … Richardson, A. D. (2016). Productivity of North American grasslands is increased under future climate scenarios despite rising aridity. Nature Climate Change, 6, 710 – 714.


21. Veroustraete F. Verstraeten W.W., Hufkens K., et al. (2015). Physical modelling of Nikon Coolpix camera RGB responses for application in non-destructive leaf chlorophyll imaging. EC Agriculture, 4, 209.

20. Doetterl S., Kearsley E., Bauters M., Hufkens K., et al. (2015) Aboveground vs. Belowground Carbon Stocks in African Tropical Lowland Rainforest: Drivers and Implications. Plos One, 10, e0143209.

        19. Toomey M, Friedl M A, Frolking S, Hufkens K, et al. (2015) Greenness indices from digital cameras predict the timing and seasonal dynamics of canopy-scale photosynthesis. Ecological Applications, 25, 99–115.


        18. Ghehi, N. G., Werner, C., Hufkens, K., Kiese, R., Ranst, E. Van, NSabimana, D., … Boeckx, P. (2014). Estimation of N₂O and NO emission from a tropical highland forest in Rwanda. Geoderma Regional, 2-3, 41–49.

17. Friedl, M. A., Gray, J. M., Melaas, E. K., Richardson, A. D., Hufkens, K., Keenan, T. F., … Keefe, J. O. (2014). A tale of two springs : using recent climate anomalies to characterize the sensitivity of temperate forest phenology to climate change. Environmental Research Letters, 054006.

16. Verbeeck, H., Betehndoh, E., Maes, W., Hubau, W., Kearsley, E., Buggenhout, L., Hufkens, K., … Steppe, K. (2014). Functional leaf trait diversity of 10 tree species in Congolese secondary tropical forest. Journal of Tropical Forest Science, 26(3).

15. Klosterman, S. T., Hufkens, K., Gray, J. M., Melaas, E., Sonnentag, O., Lavine, I., … Richardson, a. D. (2014). Evaluating remote sensing of deciduous forest phenology at multiple spatial scales using PhenoCam imagery. Biogeosciences 11(2), 2305–2342.

14. Keenan, T., Darby, B., Felts, E., Sonnentag, O., Friedl, M., Hufkens, K., … Richardson, A. D. 2014. Tracking forest phenology and seasonal physiology using digital repeat photography: a critical assessment. Ecological Applications.


13. Kearsley E., de Haulleville T., Hufkens K., Kidimbu A., Toirambe B., Huygens D., Kebede Y., Defourny P., Bogaert J., Beeckman H., Baert G., Steppe K., Boeckx P., Verbeeck H. 2013. Conventional tree height–diameter relationships significantly overestimate aboveground carbon stocks in the Congo Basin. Nature Communications.

12. Lewis, S. L., Sonké, B., Sunderland, T., Begne, S. K., Lopez-Gonzalez, G., van der Heijden, G. M. F., … Hufkens K. … Banin, L. (2013). Above-ground biomass and structure of 260 African tropical forests. Philosophical Transactions of the Royal Society B: Biological Sciences , 368 (1625 ).


11. Keenan, T.F., I. Baker, A. Barr, P. Ciais, K. Davis, M. Dietze, D. Dragoni, C. M. Gough, R. Grant, D. Hollinger, K. Hufkens, B. Poulter, H. McCaughey, B. Rackza, Y. Ryu, K. Schaefer, H. Tian, H. Verbeeck, M. Zhao, A.D. Richardson. 2012. Terrestrial biosphere model performance for inter-annual variability of land-atmosphere CO2 exchange. Global Change Biology. 2:1971-1987.

10. Dillen S.Y., Op de Beeck M., Hufkens K., Buonanduci M., Phillips N.G. 2012. Seasonal patterns of foliar reflectance in relation to photosynthetic capacity and color index in two co-occurring tree species, Quercus rubra and Betula papyrifera. Agricultural and Forest Meteorology. 160:60-68.

9. Hufkens K., Keenan T., Richardson A. D., Sonnentag O., Melaas E., Bailey A., O’keefe J., Friedl M. 2012. Ecological Impacts of a Widespread Frost Event Following Early Spring Leaf-Out. Global Change Biology. 18:2365-2377.

8. Hufkens K., Friedl M., Sonnentag O., Braswell B. H., Milliman T., Richardson A. D. 2012. Linking near-surface and satellite remote sensing measurements of deciduous broadleaf forest phenology. Remote Sensing of Environment. 117:307-321.

7. Sonnentag O., Hufkens K.,Teshera-Sterne C., Young A. M., Friedl M., Braswell B. H.,Milliman T., O’Keefe J., Richardson A. D. Digital repeat photography for phenological research in forest ecosystems. Agricultural and Forest Meteorology. 152:159-177 (shared first author)


6. Thoonen G., Hufkens K., Vanden Borre J.,Spanhove T, Scheunders P. 2011. Accuracy assessment of contextual classification results for vegetation mapping. Journal of Applied Earth Observation and Geoinformation. 15:7-15.


5. Hufkens K., Scheunders P. and Ceulemans R. 2009. Ecotones: methodology and definitions revisited. Ecological Research: 24: 977-986.

4. Hufkens K., Scheunders P. and Ceulemans R. 2009. Validation of the sigmoid wave curve fitting algorithm on a forest-tundra ecotone in the Northwest Territories, Canada. Ecological Informatics. 4: 1-7.

3. Hufkens K., Thoonen G., Vanden Borre J., Scheunders P. and Ceulemans R. 2009. Habitat reporting of a heathland site: classification probabilities as additional information, a case study. Ecological Informatics. 5:248-255.

2. Hufkens K., Bogaert J., Dong Q.H., Lu L., Huang C.L., Ma M.G., Che T., Li X., Veroustraete F. and Ceulemans R. 2008. Impacts and uncertainties of upscaling of remote-sensing data validation for a semi-arid woodland. Journal of Arid Environments. 72: 1490-1505.


1. Hufkens K., Ceulemans R. and Scheunders P. 2008. Estimating the ecotone width in patchy ecotones using a sigmoid wave approach. Ecological Informatics 3: 97-104.

For the most recent list of publications including conference abstracts I refer to my google scholar webpage.