Accéder directement au contenu Accéder directement à la navigation
Article dans une revue

How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools

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.
Liste complète des métadonnées

Littérature citée [37 références]  Voir  Masquer  Télécharger

https://hal.inrae.fr/hal-02937618
Déposant : Yannick Brohard <>
Soumis le : lundi 14 septembre 2020 - 11:47:02
Dernière modification le : mardi 15 septembre 2020 - 10:42:04

Fichier

Bonnet_etal_Ecological_Solutio...
Fichiers éditeurs autorisés sur une archive ouverte

Identifiants

Citation

Pierre Bonnet, Alexis Joly, Jean-Michel Faton, Susan Brown, David Kimiti, et al.. How citizen scientists contribute to monitor protected areas thanks to automatic plant identification tools. Ecological Solutions and Evidence, Wiley, 2020, 1 (2), ⟨10.1002/2688-8319.12023⟩. ⟨hal-02937618⟩

Partager

Métriques

Consultations de la notice

21

Téléchargements de fichiers

4