Spatiotemporal vegetation dynamics in a highly urbanized Chilean coastal wetland: Insights on long-term natural and anthropogenic influences

Ecological Indicators, 169, 112919

Autores

Munizaga, J; Rojas, O; Lagos, B; Rojas, C; Yépez, S; Hernández, E; Ureta, F; et al.

Año Publicación

2024

Keywords

Coastal wetland vegetation; Natural disturbances; Anthropogenic stressors; Remote sensing

Resumen

This study analyzes the spatiotemporal dynamics of the vegetation of a highly urbanized coastal wetland in the 2000–2020 period, considering natural disturbances and anthropogenic stressors. The wetland system was stratified into four domains: Coastal, Intertidal, Freshwater, and Urban, differentiated by their geomorphological, topographical, and water salinity characteristics, which were validated by ground vegetation sampling. In these domains, spectral indicators of vegetation were used on 884 Landsat images in the Google Earth Engine to determine vegetation types, trends, and phenology. The start of the growing season coincides with the beginning of the Austral winter, exhibiting seasonal behavior, which was interrupted by abrupt natural disturbances such as floods and tsunamis. In addition, a progressive trend associated with the replacement of native species by exotic species was reported in areas with significant anthropogenic stressors (e.g., highways, city edges, and grazing areas), with 45 % presenting an increase in the normalized difference vegetation index. Areas far from anthropogenic stressors maintained their behavior, which is explained by natural factors such as precipitation, temperature, and evapotranspiration. The proposed method strengthens our understanding of the interrelationship between factors that modify the behavior of vegetation in coastal wetlands pressured by anthropogenic stressors and contributes to their management and protection.

Financiamiento

Beca Nacional de Doctorado 2020, Chile (Beca Nº 21201439), FONDECYT N° 1212032, N° 1190251, N° 1221091, N° 1231859 y ANID, Chile – Programa Millennium Science Initiative SECOS - ICN2019_015

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