Search

Your search keyword '"DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy"' showing total 3 results
Start Over Author "DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy" Topic 7. clean energy
3 results on '"DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy"'

1. Ground-based optical measurements at European flux sites: a review of methods, instruments and current controversies

Author

Manuela Balzarolo 1, Karen Anderson 2, Caroline Nichol 3, Micol Rossini 4, Loris Vescovo 5, Nicola Arriga 1, Georg Wohlfahrt 6, Jean-Christophe Calvet 7, Arnaud Carrara 8, Sofia Cerasoli 9, Sergio Cogliati 4, Fabrice Daumard 10, Lars Eklundh 11, Jan A. Elbers 12, Fatih Evrendilek 13, Rebecca N. Handcock 14, Joerg Kaduk 15, Katja Klumpp 16, Bernard Longdoz 17, Giorgio Matteucci 18, Michele Meroni 4, Lenoardo Montagnani 20, Jean-Marc Ourcival 22, Enrique P. Sánchez-Cañete 23, Jean-Yves Pontailler 24, Radoslaw Juszczak 25, Bob Scholes 26, M. Pilar Martín 27, DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy, Department of Geography, University of Exeter, Rennes Drive, Exeter, United Kingdom, School of Geosciences [Edinburgh], University of Edinburgh, DISAT, University of Milan-Bicocca, piazza della Scienza 1, 20126 Milano, Italy, CRI, Fondazione E. Mach, Viote del Monte Bondone, Trento, Italy, Institut für Ökologie, Universität Innsbruck, Sternwartestr. 15, 6020 Innsbruck, Austria, Groupe d'étude de l'atmosphère météorologique (CNRM-GAME), Institut national des sciences de l'Univers (INSU - CNRS)-Météo France-Centre National de la Recherche Scientifique (CNRS), Fundacion CEAM, Parque Tecnologico, Calle C.R. Darwin, Paterna, SP-46980, Valencia, Spain, Forest Research Centre, School of Agriculture, Technical University of Lisbon, Tapada da Ajuda, 1349-017, Lisboa, Portugal, Laboratoire de Météorologie Dynamique (UMR 8539) (LMD), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut national des sciences de l'Univers (INSU - CNRS)-École polytechnique (X)-École des Ponts ParisTech (ENPC)-Centre National de la Recherche Scientifique (CNRS)-Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris)-École normale supérieure - Paris (ENS Paris), Department of Earth and Ecosystem Sciences [Lund], Lund University [Lund], Alterra, ESS-CC Group, PO Box 47, 6700 AA Wageningen, Netherlands, Department of Environmental Engineering, Abant Izzet Baysal University, Gölköy Campus, 14280 Bolu, Turkey, CSIRO, Private Bag 5, Wembley, WA, 6913, Australia, Department of Geography [Leicester], University of Leicester, INRA, Grassland Ecosystem Research Unite, UR874, 63100 Clermont Ferrand, France, Ecologie et Ecophysiologie Forestières [devient SILVA en 2018] (EEF), Institut National de la Recherche Agronomique (INRA)-Université de Lorraine (UL), CNR, Institute for Agricultural and Forestry Systems in the Mediterranean, Via Cavour, 4-6 I-87036, Rende, Italy, JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC), Forest Services and Agency for the Environment, Autonomous Province of Bolzano, Bolzano, Italy, Faculty of Science and Technology, Free University of Bolzano, Bolzano, Italy, Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UM3)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Instituto de Astrofísica de Andalucía (IAA), Consejo Superior de Investigaciones Científicas [Spain] (CSIC), Laboratoire d'Ecologie Végétale, Université Paris Sud-Orsay, CNRS URA 1492 Bât. 362, 91405 Orsay Cedex, France, Dept. of Meteorology, Poznan University of Life Sciences, Piatkowska 94, 60-649 Poznan, Poland, CSIR, Ecosystem Processes and Dynamics, PO Box 395, 0001 Pretoria, South Africa, Centro de Ciencias Humanas y Sociales (CCHS), Balzarolo, Manuela, University of Exeter, Università degli Studi di Milano-Bicocca = University of Milano-Bicocca (UNIMIB), Centre national de recherches météorologiques (CNRM), Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université de Toulouse (UT)-Université de Toulouse (UT)-Institut national des sciences de l'Univers (INSU - CNRS)-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS)-Météo-France -Centre National de la Recherche Scientifique (CNRS), École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS-PSL), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL), Unité de recherche sur l'Ecosystème Prairial (UREP), Institut National de la Recherche Agronomique (INRA), Université Paul-Valéry - Montpellier 3 (UPVM)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-École Pratique des Hautes Études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD [France-Sud])-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Consejo Superior de Investigaciones Científicas [Madrid] (CSIC), Council for Scientific and Industrial Research [Pretoria] (CSIR), Fundación Centro de Estudios Ambientales del Mediterráneo, University of Innsbruck, Austrian Science Fund, Tyrolean Science Fund, Natural Environment Research Council (UK), European Commission, European Cooperation in Science and Technology, Martín, M. Pilar [0000-0002-5563-8461], Balzarolo, Manuela [0000-0002-7888-1501], Rossini, Micol [0000-0002-6052-3140], Arriga, Nicola [0000-0001-5321-3497], Carrara, Arnaud [0000-0002-9095-8807], Cerasoli, Sofia [0000-0002-9118-193X], Eklundh, Lars [0000-0001-7644-6517], Elbers, Jan A. [0000-0002-0631-3505], Handcock, Rebecca N. [0000-0001-5903-6620], Sánchez-Cañete, Enrique P. [0000-0003-0482-6726], Juszczak, Radoslaw [0000-0002-5212-7383], Università degli Studi di Milano-Bicocca [Milano] (UNIMIB), Département des Géosciences - ENS Paris, École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École normale supérieure - Paris (ENS Paris), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre National de la Recherche Scientifique (CNRS)-École des Ponts ParisTech (ENPC)-École polytechnique (X)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre National de la Recherche Scientifique (CNRS)-Université de Montpellier (UM)-École pratique des hautes études (EPHE), Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Université Paul-Valéry - Montpellier 3 (UPVM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro), Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut national d'enseignement supérieur pour l'agriculture, l'alimentation et l'environnement (Institut Agro)-Institut de Recherche pour le Développement (IRD [France-Sud]), Balzarolo, M, Anderson, K, Nichol, C, Rossini, M, Vescovo, L, Arriga, N, Wohlfahrt, G, Calvet, J, Carrara, A, Cerasoli, S, Cogliati, S, Daumard, F, Eklundh, L, Elbers, J, Evrendilek, F, Handcock, R, Kaduk, J, Klumpp, K, Longdoz, B, Matteucci, G, Meroni, M, Montagnani, L, Ourcival, J, Sanchez Canete, E, Pontailler, J, Juszczak, R, Scholes, B, Martin, M, Martín, M. Pilar, Rossini, Micol, Arriga, Nicola, Carrara, Arnaud, Cerasoli, Sofia, Eklundh, Lars, Elbers, Jan A., Handcock, Rebecca N., Sánchez-Cañete, Enrique P., and Juszczak, Radoslaw

Subjects
Optics and Photonics, Time Factors, Light, 010504 meteorology & atmospheric sciences, Computer science, Climate, Cost-Benefit Analysis, International Cooperation, resolution ndvi, 0211 other engineering and technologies, standardisation, Review, 02 engineering and technology, lcsh:Chemical technology, spectral reflectance, sensors, 7. Clean energy, 01 natural sciences, Biochemistry, Analytical Chemistry, european flux networks, protocol standardization, optical measurements, vegetation indexes, co2 fluxes, photosynthetic efficiency, ndvi measurements, carbon dioxide, ecosystem, calibration, validation, CARBON-DIOXIDE, sensor, Surveys and Questionnaires, Environmental monitoring, lcsh:TP1-1185, Instrumentation, protocole, [PHYS.PHYS.PHYS-OPTICS]Physics [physics]/Physics [physics]/Optics [physics.optics], efficience photosynthétique, Sampling (statistics), NDVI MEASUREMENTS, Atomic and Molecular Physics, and Optics, Variety (cybernetics), Europe, indice de végétation, Protocol standardisation, European flux networks, Environmental Monitoring, Underpinning, Conservation of Natural Resources, PHOTOSYNTHETIC EFFICIENCY, Climate Change, Eddy covariance, Biophysics, Climate change, [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, protocol standardisation, Optical measurements, écosystème, VALIDATION, dioxyde de carbone, Settore BIO/07 - ECOLOGIA, optical measurement, Electrical and Electronic Engineering, Radiometry, SPECTRAL REFLECTANCE, Remote sensing, 021101 geological & geomatics engineering, 0105 earth and related environmental sciences, Protocol (science), FOOTPRINT, Electronic Data Processing, VEGETATION INDEXES, CO2 FLUXES, Sensors, mesure optique, flux de co2, Reproducibility of Results, Data science, reflectance spectrale, GEO/10 - GEOFISICA DELLA TERRA SOLIDA, Software deployment, Autre (Sciences de l'ingénieur), capteur, ndvi, RESOLUTION NDVI, ECOSYSTEM
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., This work was supported by the EU COST Office in the framework of the Action ES0903. C.Nichol’s project on spectral sensing is funded through a UK Natural Environment Research Council standard grant (NE/F017294/1). G.W. acknowledges financial support by the Austrian National Science Fund and the Tyrolean Science Fund through grants P17560-B16 and P19849-B16 and Uni-404/33 and Uni-404/486, respectively, as well as the University of Innsbruck. A.C. acknowledges financial support provide to Foundation CEAM by the programs CONSOLIDER- INGENIO 2010 (GRACCIE), and CARBORED-II (CGL2010-22193-C04-01).

Published
2011
Full Text
View/download PDF

2. Terrestrial Gross Carbon Dioxide Uptake: Global Distribution and Covariation with Climate

Author

Keith W. Oleson, Christian Beer, Mark R. Lomas, Dennis D. Baldocchi, Alessandro Cescatti, Anders Lindroth, Philippe Ciais, Dario Papale, F. Ian Woodward, Gordon B. Bonan, Christian Rödenbeck, Elmar Veenendaal, Enrico Tomelleri, Olivier Roupsard, Hank A. Margolis, M. Altaf Arain, Sebastiaan Luyssaert, Markus Reichstein, Nuno Carvalhais, Martin Jung, Nicolas Viovy, Gitta Lasslop, Alberte Bondeau, Christopher M. Williams, Systems Ecology, Department of Biogeochemical Integration [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Laboratoire des Sciences du Climat et de l'Environnement [Gif-sur-Yvette] (LSCE), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), ICOS-ATC (ICOS-ATC), Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Faculdade de Ciências e Tecnologia = School of Science & Technology (FCT NOVA), Universidade Nova de Lisboa = NOVA University Lisbon (NOVA), Max-Planck-Gesellschaft, McMaster University [Hamilton, Ontario], Department of Environmental Science, Policy, and Management [Berkeley] (ESPM), University of California [Berkeley] (UC Berkeley), University of California (UC)-University of California (UC), National Center for Atmospheric Research [Boulder] (NCAR), Potsdam Institute for Climate Impact Research (PIK), Climate Change Unit [Ispra], JRC Institute for Environment and Sustainability (IES), European Commission - Joint Research Centre [Ispra] (JRC)-European Commission - Joint Research Centre [Ispra] (JRC), Department of Earth and Ecosystem Sciences [Lund], Lund University [Lund], Department of Animal and Plant Sciences [Sheffield], University of Sheffield [Sheffield], Universiteit Antwerpen = University of Antwerpen [Antwerpen], Centre d'Etude de la Forêt (Faculté de foresterie, de géographie et de géomatique), Université Laval [Québec] (ULaval), Département Performances des systèmes de production et de transformation tropicaux (Cirad-PERSYST), Centre de Coopération Internationale en Recherche Agronomique pour le Développement (Cirad), Centro Agronómico Tropical de Investigación y Enseñanza - Tropical Agricultural Research and Higher Education Center (CATIE), Nature Conservation and Plant Ecology Group, Wageningen University and Research [Wageningen] (WUR), Modélisation des Surfaces et Interfaces Continentales (MOSAIC), Graduate School of Geography, Clark University, DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy, Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ)-Institut national des sciences de l'Univers (INSU - CNRS)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université de Versailles Saint-Quentin-en-Yvelines (UVSQ), University of California [Berkeley], University of California-University of California, and Universiteit Antwerpen [Antwerpen]

Subjects
0106 biological sciences, 010504 meteorology & atmospheric sciences, Climate, Flux, forêt tropicale, Atmospheric sciences, 7. Clean energy, 01 natural sciences, Trees, FluxNet, K01 - Foresterie - Considérations générales, SDG 13 - Climate Action, Photosynthesis, Savane, database, Multidisciplinary, Geography, Ecology, U10 - Informatique, mathématiques et statistiques, Temperature, Uncertainty, Biosphere, Vegetation, Plants, PE&RC, products, [SDE]Environmental Sciences, Plantenecologie en Natuurbeheer, P01 - Conservation de la nature et ressources foncières, ecosystems, Engineering sciences. Technology, Écosystème, biosphere, P40 - Météorologie et climatologie, Eddy covariance, Climatic Processes, Plant Ecology and Nature Conservation, 010603 evolutionary biology, Models, Biological, Oxygen Consumption, Artificial Intelligence, vegetation, fraction, Ecosystem, Precipitation, 0105 earth and related environmental sciences, Changement climatique, atmospheric co2, Models, Statistical, WIMEK, sulfide, Atmosphere, Primary production, Water, Modèle de simulation, 15. Life on land, Carbon Dioxide, Végétation, Plant Leaves, radiation, 13. Climate action, network, Neural Networks, Computer, Cycle du carbone, Dioxyde de carbone
Abstract

Terrestrial gross primary production (GPP) is the largest global CO2 °ux driving several ecosystem functions. We provide an observation- based estimate of this °ux at 123§8 PgCa¡1 using eddy covariance °ux data and various diagnostic models. Tropical forests and sa- vannahs account for 60%. GPP over 40% of the vegetated land is associated with precipitation. State-of-the-art process-oriented bio- sphere models used for climate predictions exhibit a large between- model variation of GPP's latitudinal patterns and show higher spa- tial correlations between GPP and precipitation, suggesting the ex- istence of missing processes or feedback mechanisms which attenu- ate the vegetation response to climate. Our estimates of spatially distributed GPP and its co-variation with climate can help improve coupled climate-carbon cycle process models., JRC.H.2-Air and Climate

Published
2010
Full Text
View/download PDF

3. Partitioning net carbon dioxide fluxes into photosynthesis and respiration using neural networks

Author

Gustau Camps-Valls, G. Tramontana, Trevor F. Keenan, Markus Reichstein, Dario Papale, Mirco Migliavacca, Jérôme Ogée, Martin Jung, Jochem Verrelst, Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Department of Biogeochemical Integration [Jena], Max Planck Institute for Biogeochemistry (MPI-BGC), Max-Planck-Gesellschaft-Max-Planck-Gesellschaft, Max-Planck-Gesellschaft, Lawrence Berkeley National Laboratory [Berkeley] (LBNL), Universitat de València (UV), Interactions Sol Plante Atmosphère (UMR ISPA), Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Image Processing Laboratory (IPL), and DIBAF, University of Tuscia, Via S.C. de Lellis, 01100 Viterbo, Italy

Subjects
0106 biological sciences, ecosystem respiration, 010504 meteorology & atmospheric sciences, net ecosystem exchange, neural network, Eddy covariance, Climate change, Atmospheric sciences, Photosynthesis, 01 natural sciences, 7. Clean energy, Carbon Cycle, Atmosphere, Flux (metallurgy), FluxNet, Respiration, eddy covariance, Environmental Chemistry, Ecosystem, Primary Research Article, 0105 earth and related environmental sciences, General Environmental Science, Global and Planetary Change, Ecology, carbon dioxide fluxes partitioning, gross primary production (GPP), Carbon Dioxide, Biological Sciences, 15. Life on land, gross primary production, machine learning, 13. Climate action, [SDE]Environmental Sciences, Environmental science, Neural Networks, Computer, Seasons, ecosystem respiration (RECO), Environmental Sciences, 010606 plant biology & botany
Abstract

The eddy covariance (EC) technique is used to measure the net ecosystem exchange (NEE) of CO2 between ecosystems and the atmosphere, offering a unique opportunity to study ecosystem responses to climate change. NEE is the difference between the total CO2 release due to all respiration processes (RECO), and the gross carbon uptake by photosynthesis (GPP). These two gross CO2 fluxes are derived from EC measurements by applying partitioning methods that rely on physiologically based functional relationships with a limited number of environmental drivers. However, the partitioning methods applied in the global FLUXNET network of EC observations do not account for the multiple co‐acting factors that modulate GPP and RECO flux dynamics. To overcome this limitation, we developed a hybrid data‐driven approach based on combined neural networks (NNC‐part). NNC‐part incorporates process knowledge by introducing a photosynthetic response based on the light‐use efficiency (LUE) concept, and uses a comprehensive dataset of soil and micrometeorological variables as fluxes drivers. We applied the method to 36 sites from the FLUXNET2015 dataset and found a high consistency in the results with those derived from other standard partitioning methods for both GPP (R 2 > .94) and RECO (R 2 > .8). High consistency was also found for (a) the diurnal and seasonal patterns of fluxes and (b) the ecosystem functional responses. NNC‐part performed more realistic than the traditional methods for predicting additional patterns of gross CO2 fluxes, such as: (a) the GPP response to VPD, (b) direct effects of air temperature on GPP dynamics, (c) hysteresis in the diel cycle of gross CO2 fluxes, (d) the sensitivity of LUE to the diffuse to direct radiation ratio, and (e) the post rain respiration pulse after a long dry period. In conclusion, NNC‐part is a valid data‐driven approach to provide GPP and RECO estimates and complementary to the existing partitioning methods., In this paper, we present an innovative neural network (NNC‐part) for partitioning net ecosystem exchange of CO2, measured by eddy covariance over land ecosystems, into ecosystem respiration (RECO) and gross primary production (GPP). NNC‐part has a hybrid nature for assimilating the light‐use efficiency (LUE) concept. The GPP and RECO produced by NNC‐part resulted consistent with estimates provided in FLUXNET2015 and patterns of fluxes very realistic, being the method able to reproduce: the GPP and RECO response to meteorological forces; hysteresis in the diel cycle of fluxes; effect of diffuse to direct radiation ratio on LUE, respiration pulse.

Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results