@article{fdi:010086794,
  title = {{L}ake {C}had vegetation cover and surface water variations in response to rain fall fluctuations under recent climate conditions (2000-2020) br},
  author = {{G}betkom, {P}. {G}. and {C}retaux, {J}. {F}. and {T}chilibou, {M}. and {C}arret, {A}. and {D}elhoume, {M}. and {B}erge-{N}guyen, {M}. and {S}ylvestre, {F}lorence},
  editor = {},
  language = {{ENG}},
  abstract = {{M}onitoring the evolution of the {S}ahelian environment is a major challenge because the great {S}ahelian droughts,marked by significant environmental consequences and social impacts, contributed, for example, to the drying up of{L}ake {C}had. {W}e combined remote sensing images with a water level database from the {H}ydroweb project to determinethe response of {L}ake {C}had vegetation cover and surface water variations to rainfallfluctuations in the {L}ake {C}had wa-tershed under recent climate conditions. {T}he variance in lake surface water levels was determined by computing themonthly anomaly time series of surface water height and area from the {H}ydroweb datasets. {T}he spatiotemporal vari-ability of watershed rainfall and vegetation cover of {L}ake {C}had was highlighted through multivariate statistical anal-ysis. {T}he spatial distribution of correlations between watershed rainfall and {L}ake {C}had vegetation cover wasinvestigated. {T}he results show an increase in watershed rainfall, vegetation cover, and surface water area and height,as their slopes were all positive i.e., 5.1 10-4(mm/day); 4.26 10-6(ndvi unit/day); 1.2 10-3(km2/day) and 6 10-5(m/day), respectively. {T}he rainfall variations in the watershed drive those of {L}ake {C}had vegetation cover and surfacewater, as the rainfall trend was strongly and positively correlated with those of vegetation cover (0.79), surface waterheight (0.57), and area (0.53). {T}he time lag between the watershed rainfallfluctuations and lake surface water varia-tions corresponded to approximately similar to 112 days. {B}etween rainfall variations and vegetation cover changes, the spatialdistribution of the time lag showed a response time of<16 days in the western shores of the lake and on both sides ofthe great barrier, about 16 days in the bare soils of the northern basin and the eastern part of the south basin, and>64 days in the marshlands of the southern basin. {F}or the analysis of lakes around the world, this research provides a robust method that computes the spatiotemporal variances of their trends and seasonality and correlates these withthe spatiotemporal variances of climate changes. {T}he correlations obtained have strong potential for predicting futurechanges in lake surface water worldwide},
  keywords = {{S}ahel ; {L}ake {C}had ; {R}ainfall ; {S}urface water levels ; {V}egetation cover ; {S}patiotemporal changes ; {SAHEL} ; {CAMEROUN} ; {TCHAD} ; {NIGER} ; {NIGERIA} ; {TCHAD} {LAC}},
  booktitle = {},
  journal = {{S}cience of the {T}otal {E}nvironment},
  volume = {857},
  numero = {2},
  pages = {159302 [12 p.]},
  ISSN = {0048-9697},
  year = {2023},
  DOI = {10.1016/j.scitotenv.2022.159302},
  URL = {https://www.documentation.ird.fr/hor/fdi:010086794},
}