Top-down view of a mixed forest with many dead trees, whose dead, bare branches appear white in between the green of the healthy trees.

Publications of Simon Besnard

Journal Article (9)

1.
Journal Article
Santoro, M.; Cartus, O.; Wegmüller, U.; Besnard, S.; Carvalhais, N.; Araza, A.; Herold, M.; Liang, J.; Cavlovic, J.; Engdahl, M. E.: Global estimation of above-ground biomass from spaceborne C-band scatterometer observations aided by LiDAR metrics of vegetation structure. Remote Sensing of Environment 279, 113114 (2022)
2.
Journal Article
Walther, S.; Besnard, S.; Nelson, J. A.; El-Madany, T. S.; Migliavacca, M.; Weber, U.; Carvalhais, N.; Ermida, S. L.; Brümmer, C.; Schrader, F. et al.; Prokushkin, A. S.; Panov, A. V.; Jung, M.: Technical note: A view from space on global flux towers by MODIS and Landsat: The FluxnetEO dataset. Biogeosciences 19 (11), pp. 2805 - 2840 (2022)
3.
Journal Article
Bao, S.; Wutzler, T.; Koirala, S.; Cuntz, M.; Ibrom, A.; Besnard, S.; Walther, S.; Sigut, la, L.; Moreno, A.; Weber, U. et al.; Wohlfahrt, G.; Cleverly, J.; Migliavacca, M.; Woodgate, W.; Merbold, L.; Veenendaal, E.; Carvalhais, N.: Environment-sensitivity functions for gross primary productivity in light use efficiency models. Agricultural and Forest Meteorology 312, 108708 (2022)
4.
Journal Article
Besnard, S.; Santoro, M.; Cartus, O.; Fan, N.; Linscheid, N.; Nair, R.; Weber, U.; Koirala, S.; Carvalhais, N.: Global sensitivities of forest carbon changes to environmental conditions. Global Change Biology 27 (4), pp. 6467 - 6483 (2021)
5.
Journal Article
Besnard, S.; Koirala, S.; Santoro, M.; Weber, U.; Nelson, J. A.; Gütter, J.; Herault, B.; Kassi, J.; N'Guessan, A.; Neigh, C. et al.; Poulter, B.; Zhang, T.; Carvalhais, N.: Mapping global forest age from forest inventories, biomass and climate data. Earth System Science Data 13 (10), pp. 4881 - 4896 (2021)
6.
Journal Article
Nelson, J. A.; Pérez‐Priego, O.; Zhou, S.; Poyatos, R.; Zhang, Y.; Blanken, P. D.; Gimeno, T. E.; Wohlfahrt, G.; Desai, A. R.; Gioli, B. et al.; Limousin, J.; Bonal, D.; Paul‐Limoges, E.; Scott, R. L.; Varlagin, A.; Fuchs, K.; Montagnani, L.; Wolf, S.; Delpierre, N.; Berveiller, D.; Gharun, M.; Marchesini, L. B.; Gianelle, D.; Šigut, L.; Mammarella, I.; Siebicke, L.; Black, T. A.; Knohl, A.; Hörtnagl, L.; Magliulo, V.; Besnard, S.; Weber, U.; Carvalhais, N.; Migliavacca, M.; Reichstein, M.; Jung, M.: Ecosystem transpiration and evaporation: Insights from three water flux partitioning methods across FLUXNET sites. Global Change Biology 26 (12), pp. 6916 - 6930 (2020)
7.
Journal Article
Jung, M.; Schwalm, C.; Migliavacca, M.; Walther, S.; Camps-Valls, G.; Koirala, S.; Anthoni, P.; Besnard, S.; Bodesheim, P.; Carvalhais, N. et al.; Chevallier, F.; Gans, F.; Goll, D. S.; Haverd, V.; Koehler, P.; Ichii, K.; Jain, A. K.; Liu, J.; Lombardozzi, D.; Nabel, J. E. M. S.; Nelson, J. A.; O’Sullivan, M.; Pallandt, M.; Papale, D.; Peters, W.; Pongratz, J.; Rödenbeck, C.; Sitch, S.; Tramontana, G.; Walker, A.; Weber, U.; Reichstein, M.: Scaling carbon fluxes from eddy covariance sites to globe: synthesis and evaluation of the FLUXCOM approach. Biogeosciences 17 (5), pp. 1343 - 1365 (2020)
8.
Journal Article
Besnard, S.; Carvalhais, N.; Arain, M. A.; Black, A.; Brede, B.; Buchmann, N.; Chen, J.; Clevers, J. G. P. W.; Dutrieux, L. P.; Gans, F. et al.; Herold, M.; Jung, M.; Kosugi, Y.; Knohl, A.; Law, B. E.; Paul-Limoges, E.; Lohila, A.; Merbold, L.; Roupsard, O.; Valentini, R.; Wolf, S.; Zhang, X.; Reichstein, M.: Memory effects of climate and vegetation affecting net ecosystem CO2 fluxes in global forests. PLoS One 14 (2), e0211510 (2019)
9.
Journal Article
Besnard, S.; Carvalhais, N.; Arain, A.; Black, A.; de Bruin, S.; Buchmann, N.; Cescatti, A.; Chen, J.; Clevers, J. G. P. W.; Desai, A. R. et al.; Gough, C. M.; Havrankova, K.; Herold, M.; Hörtnagl, L.; Jung, M.; Knohl, A.; Kruijt, B.; Krupkova, L.; Law, B. E.; Lindroth, A.; Noormets, A.; Roupsard, O.; Steinbrecher, R.; Varlagin, A.; Vincke, C.; Reichstein, M.: Quantifying the effect of forest age in annual net forest carbon balance. Environmental Research Letters 13, 124018 (2018)

Book Chapter (1)

10.
Book Chapter
Kraft, B.; Besnard, S.; Koirala, S.: Emulating ecological memory with recurrent neural networks. In: Deep Learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science, and Geosciences, pp. 269 - 281 (Eds. Camps-Valls, G.; Tuia, D.; Zhu, X. X.; Reichstein, M.). John Wiley & Sons Ltd, Hoboken, New Jersey (2021)

Conference Paper (1)

11.
Conference Paper
Reichstein, M.; Besnard, S.; Carvalhais, N.; Gans, F.; Jung, M.; Kraft, B.; Mahecha, M. D.: Modelling landsurface time-series with recurrent neural nets. In: 2018 IEEE International geoscience and remote sensing symposium (IGARSS), pp. 7640 - 7643. Valencia, 2018 (2018)

Thesis - PhD (1)

12.
Thesis - PhD
Besnard, S.: Controls of forest age and ecological memory effects on biosphere-atmosphere CO2 exchange. Dissertation, 198 pp., Wageningen University & Research, Wageningen (2019)
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