Overcoming obstacles to sharing data on tree allometric equations
Advances in ecology face the complexity of ecosystems with dynamics longer than a single scientist’s career. In forestry and REDD+ practice, in particular, our ability to understand forest ecosystem dynamics and to manage them for mitigation and adaptation strongly relies on the combination of long-...
| Autores Principales: | Cifuentes-Jara, Miguel, Matieu, Henry, Réjou-Méchain, Maxime, López, Omar, Wayson, Craig, Michel-Fuentes, José María, Castellanos-López, Edwin, Zapata-Cuartas, Mauricio, Piotto, Daniel, Alice-Guier, Federico, Castañeda-Lombis, Héctor |
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| Formato: | Artículo |
| Idioma: | Español |
| Publicado: |
Springer-Verlag France
2017
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| Acceso en línea: |
https://www.scopus.com/inward/record.url?eid=2-s2.0-84938584361&partnerID=40&md5=f0d17ffb2b16cc7b8a98f34386020faa https://hdl.handle.net/2238/7116 |
| Sumario: |
Advances in ecology face the complexity of ecosystems with dynamics longer than a single scientist’s career. In forestry and REDD+ practice, in particular, our ability to understand forest ecosystem dynamics and to manage them for mitigation and adaptation strongly relies on the combination of long-term research efforts and on data sharing. However, data collected by many measurement campaigns are regularly lost because of a lack of capacity to archive and maintain such information. Much progress would be achieved by encouraging researchers to provide access to primary data or publish “data-papers” (Chavan and Penev 2011; Cifuentes Jara et al. 2013; Fady et al. 2014). |
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