2025-01-172025-01-172019-11Fernández Carrillo, A., Sánchez Rodríguez, E. y Rodríguez Galiano, V.F. (2019). Characterising marshland temporal dynamics using remote sensing: the case of Bolboschoenetum maritimi in Doñana National Park. Applied Geography, 112, 1-25. https://doi.org/10.1016/j.apgeog.2019.102094.0143-6228https://hdl.handle.net/11441/166863This work examines the temporal dynamics of macrophytes present in the Doñana National Park marshland (SW Spain), represented by the plant association Bolboschoenetum maritimi. The characterisation of the seasonal and inter-annual dynamics of these vegetation masses was carried out through the analysis of biweekly NDVI time series from MODIS over a 16-year period (2000–2015). The NDVI provides information regarding the status of vegetative cover. Different indicators of seasonal dynamics were obtained through the NDVI time series, such as: annual mean (NDVI-I), relative range (RREL), maximum and minimum values (MAX and MIN), and months of MAX and MIN (MMAX and MMIN), which were evaluated as indicators of the seasonal variation of the vegetation and of its response to variations in the rainfall and flooding regimes of the marshland. Results showed a strong dependence on the flooding processes of the marshland, requiring a minimum rainfall threshold (350 mm/year) for proper development. Furthermore, a strong correlation (R2=0.70; p<0.05) was found between the seasonal nature of the vegetation masses, measured using RREL, and the accumulated rainfall during the flooding period of the marshland. Slightly weaker relationships between rainfall and other indicators such as the minimum and maximum annual NDVI (R2=0.61 and R2=0.43; p<0.05, respectively) were also found. This work shows the need to preserve the marshland flooding regime in Doñana National Park, which is currently under threat due to human activity and overexploitation of the aquifer.application/pdf25 p.engAttribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/NDVIremote sensingecosystems functioningMODISrainfallmacrophytesinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccesshttps://doi.org/10.1016/j.apgeog.2019.102094