@article{fdi:010088603,
  title = {{A} study of dominant vegetation phenology in a sphagnum mountain peatland using in situ and {S}entinel-2 observations},
  author = {{G}arisoain, {R}. and {D}elire, {C}. and {D}echarme, {B}. and {F}errant, {S}ylvain and {G}ranouillac, {F}. and {P}ayre-{S}uc, {V}. and {G}andois, {L}.},
  editor = {},
  language = {{ENG}},
  abstract = {{P}eatlands store more than a third of the global soil organic carbon stock. {B}ryophytes, more specifically {S}phagnum mosses, play a major role in the carbon and water cycles of these ecosystems. {T}here is a need to include {S}phagnum mosses into {E}arth system models to better simulate the dynamics of peatlands in a changing environment. {L}eaf area index ({LAI}) is a key plant trait that characterizes the plant photosynthesizing capacity. {M}oreover, {LAI} is a variable calculated by land surface models used in climate models, allowing control of the exchange of matter and energy between vegetation and the environment. {T}here is extremely little data on {S}phagnum {LAI} and none on its seasonal change. {W}e monitored {S}phagnum mosses {LAI} phenology in a mountainous peatland site (altitude of 1,343 m) from {J}une to {D}ecember 2021 using two methods: 2{D} scans of monthly {S}phagnum moss samples and analysis of {S}entinel-2 images. {LAI} derived from field campaigns and the remote sensing approach show a strong seasonality, with high peak values reaching 10 and 7 m(2)<middle dot>m (-2), respectively. {T}he {S}entinel-2 images were also used to derive common vegetation indices. {T}he moisture soil index effectively discriminates {S}phagnum-dominated areas in the peatland. {S}atellite-derived {LAI} of {S}phagnum mosses is directly correlated to gross primary production monitored by gas exchange measurements ({R}-2 = 0.83) but also to physical drivers of the environment such as air temperature ({R}-2 = 0.74) or water table depth ({R}-2 = 0.61) over the 2017-2021 period. {I}t is therefore highly suitable to investigate ecosystemic functions.},
  keywords = {{FRANCE} ; {PYRENEES}},
  booktitle = {},
  journal = {{J}ournal of {G}eophysical {R}esearch : {B}iogeosciences},
  volume = {128},
  numero = {10},
  pages = {e2023{JG}007403 [16 p.]},
  ISSN = {2169-8953},
  year = {2023},
  DOI = {10.1029/2023jg007403},
  URL = {https://www.documentation.ird.fr/hor/fdi:010088603},
}