An open-source geospatial framework for beach litter monitoring

被引:10
|
作者
Schattschneider, Jessica L. [1 ,2 ]
Daudt, Nicholas W. [3 ,4 ]
Mattos, Mariana P. S. [2 ,5 ]
Bonetti, Jarbas [1 ,2 ]
Rangel-Buitrago, Nelson [6 ]
机构
[1] Univ Fed Santa Catarina UFSC, Ctr Ciencias Fis & Matemat, Lab Oceanog Costeira, Florianopolis, SC, Brazil
[2] Univ Fed Santa Catarina UFSC, Ctr Ciencias Fis & Matemat, Programa Posgrad Oceanog, Florianopolis, SC, Brazil
[3] Univ Fed Rio Grande FURG, Inst Oceanog, Programa Posgrad Oceanog Biol, Rio Grande, RS, Brazil
[4] Univ Fed Rio Grande Sul UFRGS, Museu Ciencias Nat MUCIN, Imbe, RS, Brazil
[5] Univ Fed Santa Catarina UFSC, Ctr Ciencias Fis & Matemat, Lab Gestao Costeira Integrada, Florianopolis, SC, Brazil
[6] Univ Atlantico, Fac Ciencias Basicas, Dept Fis & Biol, Barranquilla, Atlantico, Colombia
关键词
Environmental monitoring; FOSS; GIS; Marine debris; Plastic; Polluting sources; CITIZEN SCIENCE; PLASTIC DEBRIS; MARINE LITTER; ACCUMULATION; TOOL;
D O I
10.1007/s10661-020-08602-w
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Here, we present a framework for a beach litter monitoring process, based on free and open-source software (FOSS), which allows customization for any sampling design. The framework was developed by means of a GIS project (QGIS), a GIS collector (QField), and an R code, allowing further adjustments according to the area to be surveyed and research questions. The aim is to improve data collection, accessibility, and interoperability, as well as to help to fill the currently existing gap between fieldwork and data analysis, preventing typos and allowing better data processing. Therefore, it is expected to take less than an hour from ending fieldwork to obtaining up-to-date products. To test the developed open-source geospatial framework, it was applied in different sectors and dates on an important southern Brazilian touristic beach. Results obtained from the open-source geospatial framework application produce baseline information on beach litter issues, such as amounts, sources, and spatial and temporal patterns. Adoption of the framework can facilitate data collection by local and regional stakeholders, and the results obtained from it can be applied to support management strategies. For researchers, it produces spatialized data for each item in an already tidy format, which can be used for robust and complex models. A series of supplementary files support reproducibility and provide a guide to future users.
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页数:14
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