@article{fdi:010097378,
  title = {{M}angrove growth and biomass dynamics along the mud-dominated coast of {F}rench {G}uiana},
  author = {{A}gyekum, {M}. {K}. and {P}rotazio, {J}. {M}. {B}. and {S}taquet, {A}drien and {A}ugusseau, {P}. {E}. and {G}ardel, {A}. and {M}ury, {A}. and {A}nthony, {E}. {J}. and {P}roisy, {C}hristophe},
  editor = {},
  language = {{ENG}},
  abstract = {{M}angrove forests fringe the highly dynamic, mud-dominated {G}uianas coast, where wave-induced mobility of {A}mazon-derived mudbanks drives rapid coastal accretion and erosion. {I}n {F}rench {G}uiana, this geomorphic instability reorganizes mangrove distribution, creating mosaics of successional stages in which stand development rarely approaches long-term equilibrium. {H}owever, it remains uncertain whether a single age-biomass relationship can represent contrasting coastal {A}vicennia-dominated stands and heterogeneous estuarine {R}hizophora-dominated stands in this system. {T}his study evaluates how effectively stand age, reconstructed from historical imagery, predicts stem diameter at breast height ({DBH}) and aboveground biomass ({AGB}) of {A}vicennia germinans and {R}hizophora spp. along this coast, using chronosequence data spanning pioneer to mature stands. {DBH} was measured in the field, and {AGB} was estimated using locally validated allometric equations. {F}our empirical growth models (power, {G}ompertz, logistic, and monomolecular) were fitted using nonlinear least squares to describe age-structure and age-biomass relationships. {S}tand age strongly predicted {DBH} in {A}vicennia germinans but explained less variation in {AGB} and in both {DBH} and {AGB} for {R}hizophora spp., and differences among growth functions were small. {I}n this mud-dominated setting, stand-age models perform well for coastal mangroves but are less informative for estuarine mangroves. {U}nder ongoing climate and environment-driven change, this study highlights the need to complement stand age with environmental and structural covariates when modelling mangrove biomass and carbon stocks in both coastal and estuarine systems.},
  keywords = {{G}rowth models ; {A}boveground biomass ; {A}ccretion ; {M}udbanks ; {E}rosion ; {C}hronosequence ; {GUYANE} {FRANCAISE}},
  booktitle = {},
  journal = {{S}cientific {R}eports - {N}ature},
  volume = {16},
  numero = {1},
  pages = {15869 [13 p.]},
  ISSN = {2045-2322},
  year = {2026},
  DOI = {10.1038/s41598-026-53756-1},
  URL = {https://www.documentation.ird.fr/hor/fdi:010097378},
}