Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Analysis and Quantification of the Distribution of Marabou (Dichrostachys cinerea L. Wight & Arn.) in Valle de Los Ingenios, Cuba: A Remote Sensing Approach

Version 1 : Received: 22 January 2024 / Approved: 23 January 2024 / Online: 23 January 2024 (07:15:48 CET)

A peer-reviewed article of this Preprint also exists.

Moreno, E.; Gonzalez, E.; Alvarez, R.; Menendez, J. Analysis and Quantification of the Distribution of Marabou (Dichrostachys cinerea (L.) Wight & Arn.) in Valle de los Ingenios, Cuba: A Remote Sensing Approach. Remote Sens. 2024, 16, 752. Moreno, E.; Gonzalez, E.; Alvarez, R.; Menendez, J. Analysis and Quantification of the Distribution of Marabou (Dichrostachys cinerea (L.) Wight & Arn.) in Valle de los Ingenios, Cuba: A Remote Sensing Approach. Remote Sens. 2024, 16, 752.

Abstract

Cuba is struggling with a growing environmental problem: the uncontrolled spread of the allochthonous weed species marabou (Dichrostachys cinerea) throughout the country. Over the last 70 years, marabou has become a formidable invasive species that poses a threat to Cuban biodiversity and agricultural productivity. In this paper, we present a free and affordable method for regularly mapping the spatial distribution of the marabou based on the Google Earth Engine platform and ecological surveys. To test its accuracy, we develop an 18-year analysis (2000–2018) of marabou dynamics using the Valle de los Ingenios, a Cuban UNESCO World Heritage Site, as an experimental model. Our spatial analysis reveals clear patterns of marabou distribution and highlights areas of concentrated growth. Temporal trends illustrate the dynamic nature of the species, identifying periods of expansion and decline. In addition, our system is able to detect specific, large-scale human interventions against the marabou plague in the area. The results highlight the urgent need for remedial strategies to maintain the fragile balance in the region.

Keywords

Google Earth Engine (GEE); invasive species; phenology; Landsat 8; marabou

Subject

Engineering, Other

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