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Prospects for crowdsourced information on the geomorphic ‘engineering’ by the invasive Coypu (Myocastor coypus)

Authors :
Paolo Tarolli
Giulia Sofia
Roberta Masin
Source :
Earth Surface Processes and Landforms. 42:365-377
Publication Year :
2016
Publisher :
Wiley, 2016.

Abstract

Among the most invasive species, the Coypu (Myocastor coypus) best exemplifies the widespread effect of alien species to ecosystems. Among the impacts, the induced erosion in riverbanks has an increasing economic and social importance. Despite its significance, this type of erosion is rarely quantified, and the available information is limited to local knowledge, grey literature, and maintenance reports. This research shows the potential of freely and instantly available structure-from-motion (SfM) photogrammetry to obtain crowdsourced information based on smartphone images. The results highlight how it is possible to provide a rough estimate of the damages with a relative low or null cost of application, and a limited expert knowledge and expenditure of time, depending on the scale of analysis. The proposed technique provides a fresh approach to a known long-standing issue, offering a new source of information for farmers, researchers, wildlife managers, as well as for land managers and planners. The potential applications of such technique and its unprecedented ease of use and very low cost offer effective tools for management plans and scientific research, providing a basis to relate eroded volumes to the functioning of the drainage system and the connected agroecosystem. The method would also enable the opportunity of participatory and opportunistic crowd-sourced sensing. Further scientific research on the crowd-based data on erosion should encourage standardisation of data gathering and accessibility, together with a public involvement in information exchange, to generate a better understanding and awareness of erosion problems also for other fields of research. This article is protected by copyright. All rights reserved.

Details

ISSN :
01979337
Volume :
42
Database :
OpenAIRE
Journal :
Earth Surface Processes and Landforms
Accession number :
edsair.doi...........92d8f1ddfabe51b30975c217958a3af2
Full Text :
https://doi.org/10.1002/esp.4081