How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools
Open Access
- 11 September 2020
- journal article
- research article
- Published by Wiley in Ecological Solutions and Evidence
- Vol. 1 (2)
Abstract
1. Successful monitoring and management of plant resources worldwide needs the involvement of civil society to support natural reserve managers. Because it is difficult to correctly and quickly identify plant species for non‐specialists, the development of recent techniques based on automatic visual identification should facilitate and increase public engagement in citizen science initiatives.2. Automatic identification platforms are new to most citizen scientists and land managers. Pl@ntNet is such a platform, available since 2013 on web and mobile environments, and now included in several workflows such as invasive alien species management, endemic species monitoring, educational activities and eco‐tourism practices. The successful development of such platforms needs to identify their strengths and weaknesses in order to improve and facilitate their use in all aspects of ecosystem management.3. Here we present two Pl@ntNet citizen science initiatives used by conservation practitioners in Europe (France) and Africa (Kenya). We discuss various perspectives, including benefits and limitations. Based on the experiences of field managers, we formulate several recommendations for future initiatives. The recommendations are aimed at a diverse group of conservation managers and citizen science practitioners.Keywords
Funding Information
- Agropolis Fondation (Pl@ntNet flagship program)
This publication has 24 references indexed in Scilit:
- Bias in presence-only niche models related to sampling effort and species niches: Lessons for background point selectionPLOS ONE, 2020
- Opportunities and Risks for Citizen Science in the Age of Artificial IntelligenceCitizen Science: Theory and Practice, 2019
- Tradeoffs and tools for data quality, privacy, transparency, and trust in citizen scienceBiological Conservation, 2019
- Applications for deep learning in ecologyMethods in Ecology and Evolution, 2019
- Species distribution modeling based on the automated identification of citizen observationsApplications in Plant Sciences, 2018
- Narratives as a mode of research evaluation in citizen science: understanding broader science communication impactsJournal of Science Communication, 2017
- Contribution of citizen science towards international biodiversity monitoringBiological Conservation, 2017
- Pl@ntNet Mobile 20142014
- The imageCLEF plant identification task 20132013
- Pl@ntNet mobile app2013