Abstract
This paper reviews the currently available optical sensors, their limitations and opportunities for deployment at Eddy Covariance (EC) sites in Europe. This review is based on the results obtained from an online survey designed and disseminated by the Co-cooperation in Science and Technology (COST) Action ESO903—“Spectral Sampling Tools for Vegetation Biophysical Parameters and Flux Measurements in Europe” that provided a complete view on spectral sampling activities carried out within the different research teams in European countries. The results have highlighted that a wide variety of optical sensors are in use at flux sites across Europe, and responses further demonstrated that users were not always fully aware of the key issues underpinning repeatability and the reproducibility of their spectral measurements. The key findings of this survey point towards the need for greater awareness of the need for standardisation and development of a common protocol of optical sampling at the European EC sites.
Highlights
The Need for a Standardized Spectral Measuring System for Deployment atEddy Covariance SitesUnderstanding the impacts of climate change on ecosystem structure and functions and predicting ecosystem responses to climate change is one of science’s great challenges
Questionnaire were received responses from researchers working at 40 different eddy covariance sites located across the cooperation in Science and Technology (COST) countries (Figure 1): one site was located in Austria, one in Denmark, one in Finland, six in France, twelve in Italy, three in Poland, one in Portugal, five in Spain, four in Sweden, one in The Netherlands, one in Turkey and two in the United Kingdom
Two researchers of Eddy Covariance (EC) sites located in countries outside Europe (Africa and Australia) that signed an agreement with the COST Action filled in the questionnaire
Summary
The Need for a Standardized Spectral Measuring System for Deployment atEddy Covariance SitesUnderstanding the impacts of climate change on ecosystem structure and functions and predicting ecosystem responses to climate change is one of science’s great challenges. It is critical to understand the dynamics of ecosystem carbon fluxes through monitoring of vegetation seasonal changes that depend on the complex flux responses to environmental drivers, mainly linked to soil water, temperature, light and nutrient availability. Water (H2O) fluxes at eddy covariance (EC) sites and through indirect modelling approaches for predicting photosynthetic function. Remote sensing (RS) offers a unique opportunity to address this issue by providing a method for monitoring ecosystems at synoptic temporal and spatial scales through measurements of carbon-related spectral response: from local scale in situ measurements to the global scale by integrating RS data (e.g., MODIS) into ecological models [1,2,3,4,5,6].
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