@article{fdi:010074486,
  title = {{M}odelling the growth of floodplain grasslands to explore the impact of changing hydrological conditions on vegetation productivity},
  author = {{L}eauthaud, {C}. and {K}ergoat, {L}. and {H}iernaux, {P}. and {G}rippa, {M}. and {M}usila, {W}. and {D}uvail, {S}t{\'e}phanie and {A}lbergel, {J}ean},
  editor = {},
  language = {{ENG}},
  abstract = {{T}his study (i) presents a coupled vegetation-soil model adapted to perennial {C}-4 seasonally flooded semi-arid grasslands; and (ii) applies the model to evaluate changes in the annual productivity of the grasslands of the {T}ana {R}iver {D}elta, {K}enya, under changing flooding conditions. {M}ain plant growth processes are modelled within coupled plant carbon balance and soil water budget modules: photosynthesis, allocation of photosynthates, respiration, translocation of root phytomass to aerial phytomass, senescence and litter production. {A}erial phytomass can also be subtracted from the system, to simulate grazing or cutting. {N}ew features concern the inclusion of effects of floods on energy conversion efficiency, photosynthate allocation, senescence and litter production. {T}he vegetation model, composed of four phytomass compartments (leaves, stems, roots, aerial dead matter), simulates three main growth phases related to flooding: floods, a post-flood phase and a non-flooded phase. {I}t was designed to be used with limited climatic data. {D}ata collected during a 14-month experiment (2010-2012) in the {T}ana {R}iver {D}elta, {K}enya, in which different irrigation and cutting treatments and flood events were recorded, were used for calibration and validation purposes. {F}ourteen parameters, selected through a sensitivity analysis, were calibrated on half of these treatments. {U}ncertainty in parameter estimation was expressed through a stochastic ensemble of simulations. {T}he remaining independent data were used for model validation. {O}verall, the model predictions are in good agreement with the experimental data. {T}his model can be used to assess the impact of rain variability, grazing or flooding patterns on the annual primary productivity of {S}ub-{S}aharan floodplain, grasslands composed mainly of {E}chinochloa stagnina ({R}etz) {P}. {B}eauv. {I}n particular, simulations for the {T}ana {R}iver {D}elta suggest that past changes in the hydrological regime of the river, as well as future changes due to the construction of hydroelectric infrastructure, have led and will certainly lead to an important decrease of the floodplain grassland productivity. {A}s local and regional livestock keeping activities rely heavily on the dry seasons' grazing resources available within the wetland, future development plans should seriously consider the negative effects of these changes on local activities and livelihoods.},
  keywords = {{E}chinochloa stagnina ({R}etz) {P}. {B}eauv. ; {T}ana {R}iver {D}elta ; {K}enya ; {P}lant growth model ; {KENYA} ; {TANA} {RIVER} {DELTA} ; {ZONE} {SEMIARIDE}},
  booktitle = {},
  journal = {{E}cological {M}odelling},
  volume = {387},
  numero = {},
  pages = {220--237},
  ISSN = {0304-3800},
  year = {2018},
  DOI = {10.1016/j.ecolmodel.2018.09.015},
  URL = {https://www.documentation.ird.fr/hor/fdi:010074486},
}