Data for: Understanding saltmarsh distribution and mangrove co-occurrence at tropical estuaries

Description

The dataset comprises two main components: (1) estuarine salinity data and (2) spatial delineation of salt marsh areas in estuaries of the Bay of All Saints (Bahia, Brazil). Salinity data were collected during field campaigns conducted in the Jaguaripe, Paraguaçu, and Subaé estuaries between 2004 and 2019. Measurements were made using different instruments, primarily analog refractometers. In some campaigns, HORIBA multiparameter probes were used in combination with HOBO dataloggers. Spatial interpolation of the measurements was performed using the Inverse Distance Weighting (IDW) method in QGIS software. Additionally, salinity data for the Bay of All Saints were extracted from the study by Lessa et al. (2009). Salt marsh areas were delineated from in situ identification and georeferencing of vegetation patches, whose spectral signatures were used to create vector polygons. This approach allowed for accurate representation of the distribution and extent of salt marshes in the studied estuaries.

Steps to reproduce

Salinity data were collected between 2004 and 2019 during field campaigns conducted in the Jaguaripe, Paraguaçu, and Subaé estuaries. Measurements were obtained using a variety of instruments, predominantly analog refractometers. In some cases, salinity was also measured using HORIBA multiparameter probes in combination with refractometers and HOBO data loggers. Spatial interpolation of the estuarine data was carried out using the Inverse Distance Weighting (IDW) method implemented in QGIS. Additionally, salinity data for the Bay of All Saints were derived from Lessa et al (2007). Lessa, G. C., Cirano, M., Genz, F., Tanajura, C. A. S., & Silva, R. R. da. (2009). Oceanografia física. In V. Hatje & J. B. de Andrade (Eds.), Baía de Todos os Santos: aspectos oceanográficos (pp. 69–119). Salvador: EDUFBA. Available from SciELO Books <http://books.scielo.org>. The marsh areas were obtained through polygons created based on the spectral signature of marshes identified and georeferenced in situ.

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