|Publicado en||Frontiers in Ecology and the Environment Vol. 14(2), pp. 84-93|
Brown, T.B., Hultine, K.R., Steltzer, H., Denny, E.G., Denslow, M.W., Granados, J., Henderson, S., Moore, D., Nagai, S., SanClements, M., Sánchez-Azofeifa, G.A., Sonnentag, O., Tazik, D. and Richardson, A.D.
|Año de publicación||2016|
• Automated digital time-lapse cameras (phenocams) are powerful tools for recording and understanding ecological responses to global environmental change
• Documenting such changes in the environment is critical for informed decision making and to reduce or counteract negative outcomes
• Advances in digital imaging, computing, and networking technologies provide new opportunities for phenological monitoring, and the availability of low-cost, easy-to-use camera hardware brings the goal of developing a global environmental monitoring network within reach of most researchers
• Standardization of practices and metadata recording will improve the utility of phenocams and facilitate their integration with other monitoring methods
Rapid changes to the biosphere are altering ecological processes worldwide. Developing informed policies for mitigating the impacts of environmental change requires an exponential increase in the quantity, diversity, and resolution of field-collected data, which, in turn, necessitates greater reliance on innovative technologies to monitor ecological processes across local to global scales. Automated digital time-lapse cameras -"phenocams"- can monitor vegetation status and environmental changes over long periods of time. Phenocams are ideal for documenting changes in phenology, snow cover, fire frequency, and other disturbance events. However, effective monitoring of global environmental change with phenocams requires adoption of data standards. New continental-scale ecological research networks, such as the USNational Ecological Observatory Network ( NEON ) and the European Union&rsquos Integrated Carbon Observation System ( ICOS ), can serve as templates for developing rigorous data standards and extending the utility of phenocam data through standardized ground-truthing. Open-source tools for analysis, visualization, and collaboration will make phenocam data more widely usable.