51. Afshar M. H. et al. (2021) Improving the Performance of Index Insurance Using Crop Models and Phenological Monitoring. Remote Sensing, 13, 924. (open access PDF)


50. Richardson A.D., Aubrecht D.M., Basler D., Hufkens. K., Muir C.D, Hanssen L. (2020) Developmental changes in the reflectance spectra of temperate deciduous tree leaves and implications for thermal emissivity and leaf temperature. New Phytologist, 229, 791-804. (open access PDF)

49. Al-Yaari A. et al. (2020) Asymmetric responses of ecosystem productivity to rainfall anomalies vary inversely with mean annual rainfall over the conterminous United States. Global Change Biology, 27, 1127-1140. (open access PDF)

48. Seyednasrollah B. et al. (2020) Seasonal variation in the canopy color of temperate evergreen conifer forests. New Phytologist, 229, 2586-2600. (open access PDF)

47. Keenan T.F., Richardson A.D. and Hufkens K. (2020) On quantifying the apparent temperature sensitivity of plant phenology. New Phytologist, 225, 1033-1040. (open access PDF)

46. Hufkens K., et al. (2020) Historical Aerial Surveys Map Long-Term Changes of Forest Cover and Structure in the Central Congo Basin. Remote Sensing, 12, 638. (open access PDF)


45. Parkes B., Higginbottom T., Hufkens K., Ceballos F., Kramer B., Foster T. (2019) Weather dataset choice introduces uncertainty to estimates of crop yield responses to climate variability and change. Environmental Research Letters, 14, 124089. (open access PDF)

44. Keenan T.F., Richardson A.D., Hufkens K. (2019) On quantifying the apparent temperature sensitivity of plant phenology. New Phytologist (

43. Schädel, C., A.D. Richardson, Hufkens K., T. Milliman, B. Seyednasrollah, W.R. Nettles, M.B. Krassovski, and P.J. Hanson. 2019. SPRUCE Vegetation Phenology in Experimental Plots from Phenocam Imagery, 2015-2018. Oak Ridge National Laboratory, TES SFA, U.S. Department of Energy, Oak Ridge, Tennessee, U.S.A. (

42. Fan, L., Wigneron, J.-P., Ciais, P., Chave, J., Brandt, M., Fensholt, R., Saatchi, S., Bastos, A., Al-Yaari, A., Hufkens K., Yuanwei, Q., Xiao, X., Chen, C., Myneni, R., Fernandez-Moran, R., Mialon, A., Rodriguez-Fernandez, N., Kerr, Y., Tian, F., Penuelas, J., (2019) Satellite-observed pantropical carbon dynamics. Nature Plants (early online)

41. Tarelkin Y, Hufkens K., Hahn S. , Van den Bulcke J. , Bastin J-F, Debeir O., Van Acker J., Beeckman H., De Cannière C. (2019) Wood anatomy variability under contrasted environmental conditions of common deciduous and evergreen species from central African forests. Trees ( PDF)

40. Kearsley E., Hufkens K., Verbeeck H., Bauters M., Beeckman H., Boeckx P., Huygens D. (2019) Large-sized rare tree species contribute disproportionately to functional diversity in resource acquisition in African tropical forest. Ecology and Evolution (open access PDF)

39. Richardson A.D., Hufkens K Li X, Ault T.R. (2018) Testing the Hopkins Law of Bioclimatics with PhenoCam data. Applications in Plant Sciences (open access PDF)


38. Kosmala M., Hufkens K., Richardson A.D. (2018) Integrating camera imagery, crowdsourcing, and deep learning to improve high-frequency automated monitoring of snow at continental-to-global scales. PloS ONE. 13, e0209649. (open access PDF)

37. Hufkens K, Melaas EK, Mann ML, Foster T, Ceballos F, Robles M, Kramer B (2019) Agricultural and Forest Meteorology Monitoring crop phenology using a smartphone based near-surface remote sensing approach. Agricultural and Forest Meteorology, 265, 327–337. (open access PDF)

36. Franz D, Acosta M, Altimir N, Arriga N, Arrouays D, Aubinet M, Aurela M ... Hufkens K ... et al. (2018) Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems : a review. International Agrophysics. 32, 439–455. (open access PDF)

35. Hufkens K, Filippa G, Cremonese E et al. (2018) Assimilating phenology datasets automatically across ICOS ecosystem stations. International Agrophysics. 32, 1–11. (open access PDF)

34. Bastin J-F, Rutishauser E, Kellner J R, ... Hufkens K. ... et al. (2018) Pan‐tropical prediction of forest structure from the largest trees. Global Ecology & Biogeography. 27, 1366–1383

33. Richardson AD, Hufkens K, Aubrecht DM, Furze ME, Seyednasrollah B, Krassovski M, Latimer JM, Nettles R, Heiderman RR, Warren JM, Hanson PJ. (2018) Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures. Nature. 560, 368–371.

32. Klosterman S, Hufkens K, Milliman T, Frolking S (2018) Later springs green-up faster: the relation between onset and completion of green-up in deciduous forests of North America. International Journal of Biometeorology.

31. Richardson AD, Hufkens K, Milliman T, Frolking S. (2018) Intercomparison of phenological transition dates derived from the PhenoCam Dataset V1.0 and MODIS satellite remote sensing. Scientific Reports. 8, 5679. (open access PDF)

30. Bowling DR,  Logan BA, Hufkens K,  Aubrecht DM,  Richardson AD,  Burns SP,  Anderegg WRL, Blanken PD, Eiriksson D (2018) Limitations to winter and spring photosynthesis of a Rocky Mountain subalpine forest. Agricultural and Forest Meteorology. 252, 241-255.

29. Hufkens K., Basler J. D., Milliman T. Melaas E., Richardson A.D. (2018) An integrated phenology modelling framework in R: Phenology modelling with phenor. Methods in Ecology & Evolution. 9,  1 - 10. (open access PDF)

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. (2018) Tracking vegetation phenology across diverse North American biomes using PhenoCam imagery. Scientific Data. 5, 180028. (open access PDF)


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.

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 conference abstracts I refer to my google scholar webpage.

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