Articles | Volume 20, issue 6
https://doi.org/10.5194/bg-20-1113-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-20-1113-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
24 Mar 2023
Research article |
| 24 Mar 2023
| 24 Mar 2023
Environmental drivers of spatio-temporal dynamics in floodplain vegetation: grasslands as habitat for megafauna in Bardia National Park (Nepal)
Jitse Bijlmakers
CORRESPONDING AUTHOR
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
Jasper Griffioen
Copernicus Institute of Sustainable Development, Faculty of
Geosciences, Utrecht University, Utrecht, the Netherlands
TNO Geological Survey of the Netherland, Utrecht, the Netherlands
Derek Karssenberg
Department of Physical Geography, Faculty of Geosciences, Utrecht
University, Utrecht, the Netherlands
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Oriol Pomarol Moya, Madlene Nussbaum, Siamak Mehrkanoon, Philip D. A. Kraaijenbrink, Isabelle Gouttevin, Derek Karssenberg, and Walter W. Immerzeel
EGUsphere, https://doi.org/10.5194/egusphere-2025-1845, https://doi.org/10.5194/egusphere-2025-1845, 2025
This preprint is open for discussion and under review for The Cryosphere (TC).
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Two hybrid Machine Learning (ML) approaches using meteorological data and snowpack simulations from the Crocus snow model were evaluated for daily snow water equivalent (SWE) prediction at ten locations in the Northern Hemisphere, where they improved both Crocus and traditional ML approaches. In particular, a hybrid setup augmenting the measured data with Crocus simulations considerably enhanced prediction on unseen locations, paving the way for better long-term SWE monitoring.
Md Feroz Islam, Paul P. Schot, Stefan C. Dekker, Jasper Griffioen, and Hans Middelkoop
Hydrol. Earth Syst. Sci., 26, 903–921, https://doi.org/10.5194/hess-26-903-2022, https://doi.org/10.5194/hess-26-903-2022, 2022
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The potential of sedimentation in the lowest parts of polders (beels) through controlled flooding with dike breach (tidal river management – TRM) to counterbalance relative sea level rise (RSLR) in 234 beels of SW Bangladesh is determined in this study, using 2D models and multiple regression. Lower beels located closer to the sea have the highest potential. Operating TRM only during the monsoon season is sufficient to raise the land surface of most beels by more than 3 times the yearly RSLR.
M. Lu, L. Groeneveld, D. Karssenberg, S. Ji, R. Jentink, E. Paree, and E. Addink
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2021, 75–80, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-75-2021, https://doi.org/10.5194/isprs-archives-XLIII-B3-2021-75-2021, 2021
Edwin H. Sutanudjaja, Rens van Beek, Niko Wanders, Yoshihide Wada, Joyce H. C. Bosmans, Niels Drost, Ruud J. van der Ent, Inge E. M. de Graaf, Jannis M. Hoch, Kor de Jong, Derek Karssenberg, Patricia López López, Stefanie Peßenteiner, Oliver Schmitz, Menno W. Straatsma, Ekkamol Vannametee, Dominik Wisser, and Marc F. P. Bierkens
Geosci. Model Dev., 11, 2429–2453, https://doi.org/10.5194/gmd-11-2429-2018, https://doi.org/10.5194/gmd-11-2429-2018, 2018
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PCR-GLOBWB 2 is an integrated hydrology and water resource model that fully integrates water use simulation and consolidates all features that have been developed since PCR-GLOBWB 1 was introduced. PCR-GLOBWB 2 can have a global coverage at 5 arcmin resolution and supersedes PCR-GLOBWB 1, which has a resolution of 30 arcmin only. Comparing the 5 arcmin with 30 arcmin simulations using discharge data, we clearly find improvement in the model performance of the higher-resolution model.
Yasmina Loozen, Karin T. Rebel, Derek Karssenberg, Martin J. Wassen, Jordi Sardans, Josep Peñuelas, and Steven M. De Jong
Biogeosciences, 15, 2723–2742, https://doi.org/10.5194/bg-15-2723-2018, https://doi.org/10.5194/bg-15-2723-2018, 2018
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Nitrogen (N) is an essential nutrient for plant growth. It would be interesting to detect it using satellite data. The goal was to investigate if it is possible to remotely sense the canopy nitrogen concentration and content of Mediterranean trees using a product calculated from satellite reflectance data, the MERIS Terrestrial Chlorophyll Index (MTCI). The tree plots were located in Catalonia, NE Spain. The relationship between MTCI and canopy N was present but dependent on the type of trees.
N. Wanders, D. Karssenberg, A. de Roo, S. M. de Jong, and M. F. P. Bierkens
Hydrol. Earth Syst. Sci., 18, 2343–2357, https://doi.org/10.5194/hess-18-2343-2014, https://doi.org/10.5194/hess-18-2343-2014, 2014
L. V. Babel and D. Karssenberg
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hessd-10-10535-2013, https://doi.org/10.5194/hessd-10-10535-2013, 2013
Manuscript not accepted for further review
E. Vannametee, D. Karssenberg, M. R. Hendriks, and M. F. P. Bierkens
Hydrol. Earth Syst. Sci., 17, 2981–3004, https://doi.org/10.5194/hess-17-2981-2013, https://doi.org/10.5194/hess-17-2981-2013, 2013
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P. Carrillo, J. M. Medina-Sánchez, C. Durán, G. Herrera, V. E. Villafañe, and E. W. Helbling
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M. Harzhauser, O. Mandic, A. K. Kern, W. E. Piller, T. A. Neubauer, C. Albrecht, and T. Wilke
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A. C. Kraberg, E. Druzhkova, B. Heim, M. J. G. Loeder, and K. H. Wiltshire
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D. Van Damme and A. Gautier
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I. Domaizon, O. Savichtcheva, D. Debroas, F. Arnaud, C. Villar, C. Pignol, B. Alric, and M. E. Perga
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G. Kostoski, C. Albrecht, S. Trajanovski, and T. Wilke
Biogeosciences, 7, 3999–4015, https://doi.org/10.5194/bg-7-3999-2010, https://doi.org/10.5194/bg-7-3999-2010, 2010
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C. Albrecht, H. Vogel, T. Hauffe, and T. Wilke
Biogeosciences, 7, 3435–3446, https://doi.org/10.5194/bg-7-3435-2010, https://doi.org/10.5194/bg-7-3435-2010, 2010
S. Trajanovski, C. Albrecht, K. Schreiber, R. Schultheiß, T. Stadler, M. Benke, and T. Wilke
Biogeosciences, 7, 3387–3402, https://doi.org/10.5194/bg-7-3387-2010, https://doi.org/10.5194/bg-7-3387-2010, 2010
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Biogeosciences, 7, 3051–3065, https://doi.org/10.5194/bg-7-3051-2010, https://doi.org/10.5194/bg-7-3051-2010, 2010
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Short summary
At the foot of the Himalayas in Nepal, land cover time series and data of environmental drivers show changes in disturbance-dependent grasslands that serve as habitat for endangered megafauna. The changes in surface area and heterogeneity of the grassland patches are attributed to a relocation of the dominant river channel of the Karnali River and associated decline of hydromorphological disturbances and a decrease in anthropogenic disturbances after its establishment as conservation area.
At the foot of the Himalayas in Nepal, land cover time series and data of environmental drivers...
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