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2. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown

Author

Tang, A. C. I., Flechard, C. R., Arriga, N., Papale, D., Stoy, P. C., Buchmann, N., Cuntz, M., Douros, J., Fares, S., Knohl, A., Sigut, L., Simioni, G., Timmermans, R., Grunwald, T., Ibrom, A., Loubet, B., Mammarella, I., Belelli Marchesini, L., Nilsson, M., Peichl, M., Rebmann, C., Schmidt, M., Bernhofer, C., Berveiller, D., Cremonese, E., El-Madany, T. S., Gharun, M., Gianelle, D., Hortnagl, L., Roland, M., Varlagin, A., Fu, Z., Heinesch, B., Janssens, I., Kowalska, N., Dusek, J., Gerosa, Giacomo Alessandro, Molder, M., Tuittila, E. -S., Loustau, D., Gerosa G. (ORCID:0000-0002-5352-3222), Tang, A. C. I., Flechard, C. R., Arriga, N., Papale, D., Stoy, P. C., Buchmann, N., Cuntz, M., Douros, J., Fares, S., Knohl, A., Sigut, L., Simioni, G., Timmermans, R., Grunwald, T., Ibrom, A., Loubet, B., Mammarella, I., Belelli Marchesini, L., Nilsson, M., Peichl, M., Rebmann, C., Schmidt, M., Bernhofer, C., Berveiller, D., Cremonese, E., El-Madany, T. S., Gharun, M., Gianelle, D., Hortnagl, L., Roland, M., Varlagin, A., Fu, Z., Heinesch, B., Janssens, I., Kowalska, N., Dusek, J., Gerosa, Giacomo Alessandro, Molder, M., Tuittila, E. -S., Loustau, D., and Gerosa G. (ORCID:0000-0002-5352-3222)

Abstract

Carbon dioxide (CO2) uptake by plant photosynthesis, referred to as gross primary production (GPP) at the ecosystem level, is sensitive to environmental factors, including pollutant exposure, pollutant uptake, and changes in the scattering of solar shortwave irradiance (SWin) − the energy source for photosynthesis. The 2020 spring lockdown due to COVID-19 resulted in improved air quality and atmospheric transparency, providing a unique opportunity to assess the impact of air pollutants on terrestrial ecosystem functioning. However, detecting these effects can be challenging as GPP is influenced by other meteorological drivers and management practices. Based on data collected from 44 European ecosystem-scale CO2 flux monitoring stations, we observed significant changes in spring GPP at 34 sites during 2020 compared to 2015–2019. Among these, 14 sites showed an increase in GPP associated with higher SWin, 10 sites had lower GPP linked to atmospheric and soil dryness, and seven sites were subjected to management practices. The remaining three sites exhibited varying dynamics, with one experiencing colder and rainier weather resulting in lower GPP, and two showing higher GPP associated with earlier spring melts. Analysis using the regional atmospheric chemical transport model (LOTOS-EUROS) indicated that the ozone (O3) concentration remained relatively unchanged at the research sites, making it unlikely that O3 exposure was the dominant factor driving the primary production anomaly. In contrast, SWin increased by 9.4 % at 36 sites, suggesting enhanced GPP possibly due to reduced aerosol optical depth and cloudiness. Our findings indicate that air pollution and cloudiness may weaken the terrestrial carbon sink by up to 16 %. Accurate and continuous ground-based observations are crucial for detecting and attributing subtle changes in terrestrial ecosystem functioning in response to environmental and anthropogenic drivers.

Published
2023

3. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown

Author

Tang, A.C.I., Flechard, C.R., Arriga, N., Papale, D., Stoy, P.C., Buchmann, N., Cuntz, M., Douros, J., Fares, S., Knohl, A., Šigut, L., Simioni, G., Timmermans, R., Grünwald, T., Ibrom, A., Loubet, B., Mammarella, I., Marchesini, L.B., Nilsson, M., Peichl, M., Rebmann, Corinna, Schmidt, M., Bernhofer, C., Berveiller, D., Cremonese, E., El-Madany, T.S., Gharun, M., Gianelle, D., Hörtnagl, L., Roland, M., Varlagin, A., Fu, Z., Heinesch, B., Janssens, I., Kowalska, N., Dušek, J., Gerosa, G., Mölder, M., Tuittila, E.-S., Loustau, D., Tang, A.C.I., Flechard, C.R., Arriga, N., Papale, D., Stoy, P.C., Buchmann, N., Cuntz, M., Douros, J., Fares, S., Knohl, A., Šigut, L., Simioni, G., Timmermans, R., Grünwald, T., Ibrom, A., Loubet, B., Mammarella, I., Marchesini, L.B., Nilsson, M., Peichl, M., Rebmann, Corinna, Schmidt, M., Bernhofer, C., Berveiller, D., Cremonese, E., El-Madany, T.S., Gharun, M., Gianelle, D., Hörtnagl, L., Roland, M., Varlagin, A., Fu, Z., Heinesch, B., Janssens, I., Kowalska, N., Dušek, J., Gerosa, G., Mölder, M., Tuittila, E.-S., and Loustau, D.

Abstract

Carbon dioxide (CO2) uptake by plant photosynthesis, referred to as gross primary production (GPP) at the ecosystem level, is sensitive to environmental factors, including pollutant exposure, pollutant uptake, and changes in the scattering of solar shortwave irradiance (SWin) − the energy source for photosynthesis. The 2020 spring lockdown due to COVID-19 resulted in improved air quality and atmospheric transparency, providing a unique opportunity to assess the impact of air pollutants on terrestrial ecosystem functioning. However, detecting these effects can be challenging as GPP is influenced by other meteorological drivers and management practices. Based on data collected from 44 European ecosystem-scale CO2 flux monitoring stations, we observed significant changes in spring GPP at 34 sites during 2020 compared to 2015–2019. Among these, 14 sites showed an increase in GPP associated with higher SWin, 10 sites had lower GPP linked to atmospheric and soil dryness, and seven sites were subjected to management practices. The remaining three sites exhibited varying dynamics, with one experiencing colder and rainier weather resulting in lower GPP, and two showing higher GPP associated with earlier spring melts. Analysis using the regional atmospheric chemical transport model (LOTOS-EUROS) indicated that the ozone (O3) concentration remained relatively unchanged at the research sites, making it unlikely that O3 exposure was the dominant factor driving the primary production anomaly. In contrast, SWin increased by 9.4 % at 36 sites, suggesting enhanced GPP possibly due to reduced aerosol optical depth and cloudiness. Our findings indicate that air pollution and cloudiness may weaken the terrestrial carbon sink by up to 16 %. Accurate and continuous ground-based observations are crucial for detecting and attributing subtle changes in terrestrial ecosystem functioning in response to environmental and anthropogenic drivers.

Published
2023

4. Are all people with diabetes and cardiovascular risk factors or microvascular complications at very high risk? Findings from the Risk and Prevention Study

Author

Marzona, Irene, Avanzini, Fausto, Lucisano, Giuseppe, Tettamanti, Mauro, Baviera, Marta, Nicolucci, Antonio, Roncaglioni, Maria Carla, Tombesi, M., Tognoni, G., Massa, E., Marrocco, W., Micalella, M., Caimi, V., Longoni, P., Avanzini, F., Franzosi, M. G., Roncaglioni, M. C., Marzona, I., Baviera, M., Monesi, L., Pangrazzi, I., Barlera, S., Milani, V., Nicolis, E., Casola, C., Clerici, F., Palumbo, A., Sgaroni, G., Marchioli, R., Silletta, M. G., Pioggiarella, R., Scarano, M., Marfisi, R. M., Flamminio, A., Macino, L., Ferri, B., Pera, C., Polidoro, A., Abbatino, D., Acquati, M., Addorisio, G., Adinolfi, D., Adreani, L., Agistri, M. R., Agneta, A., Agnolio, M. L., Agostini, N., Agostino, G., Airò, A., Alaimo, N., Albano, M., Albano, N., Alecci, G., Alemanno, S., Alexanian, A., Alfarano, M., Alfè, L., Alonzo, N., Alvino, S., Ancora, A., Andiloro, S., Andreatta, E., Angeli, S., Angiari, F., Angilletti, V., Annicchiarico, C., Anzivino, M., Aprea, R., Aprile, A., Aprile, E., Aprile, I., Aprile, L., Armellani, V., Arnetoli, M., Aronica, A., Autiero, V., Bacca, G., Baccalaro, A. M., Bacci, M., Baglio, G., Bagnani, M., Baiano, A., Baldari, A., Ballarini, L., Banchi, G., Bandera, R., Bandini, F., Baratella, M., Barbieri, A., Barbieri Vita, A., Bardi, M., Barlocchi, M., Baron, P., Bartoli, M., Basile, A., Basile, F., Basile, S., Battaggia, A., Battaglia, A., Baù, A., Beconcini, G., Beggio, R., Belfiore, P. A., Belicchi, M., Bellamoli, S., Bellini, C., Bellomo, M., Benetollo, C., Benetti, R., Beretta, E., Bertalero, P., Bertaso, F. G., Bertolani, U., Bettelli, G., Biagiotti, G., Bianchi, S., Bianco, G., Biccari, F., Bigioli, F., Bindi, M., Bisanti, G., Bitetti, E. M., Blasetti, M. P., Blesi, F., Boato, V., Boga, S., Boidi, E., Boldrin, G., Bollati, A., Bolzan, L., Bolzonella, S., Bonardi, P., Bonato, G. B., Bonci, M., Bonfitto, G., Bonincontro, E., Boninsegna, F., Bonissone, D., Bono, L., Bonollo, E., Borghi, M., Borioli, N., Borsatto, M., Bosco, T., Bosisio Pioltelli, M., Botarelli, C., Botassis, S., Bottini, F., Bottos, C., Bova, G., Bova, V., Bozzani, A., Bozzetto, R. M., Braga, V. T., Braglia, M., Bramati, E., Brazzoli, C., Breglia, G., Brescia, A., Briganti, D., Brigato, G., Brocchi, A., Brosio, F. A., Bruni, E., Buscaglia, E., Bussini, M. D., Bussotti, A., Buzzaccarini, F., Buzzatti, A., Caccamo, G., Cacciavillani, C., Caggiano, G., Caimi, V., Calciano, F. P., Calderisi, M., Calienno, S., Caltagirone, P., Calzolari, I., Cammisa, M., Campanaro, M., Campanella, G. B., Campese, F., Canali, G., Candiani, D. E. L., Canepa, R., Canini, D., Canino, A., Cantoro, E. A., Capilupi, V., Capotosto, P., Cappelli, B., Capraro, G., Carafa, F. A., Carano, Q., Carcaterra, V., Carriero, D., Carrozzo, G., Cartanese, M., Casalena, M., Casarola, M., Caso, C., Casotto, M., Castaldi, F., Castegnaro, R., Castellani, G., Castri, S., Catalano, E., Catinello, N., Caturano, G., Cavallaro, R., Cavallo, A. M., Cavallo, G., Cavion, M. T., Cavirani, G., Cazzaniga, F., Cazzetta, D., Cecconi, V., Cefalo, A., Celebrano, M., Celora, A., Centonze, P., Cerati, D., Cesaretti, D., Checchia, G., Checchin, A., Cherubini, M., Chianese, L., Chiappa, A., Chiappa, M. V., Chiariello, G., Chiavini, G., Chicco, M., Chiumeo, F., Ciacciarelli, A., Ciaci, D., Ciancaglini, R., Cicale, C., Cicale, S., Cipolla, A., Ciruolo, A., Citeri, A. L., Citterio, G., Clerici, M., Coazzoli, E., Collecchia, G., Colletta, F., Colombo, I., Colorio, P., Coluccia, S., Comerio, M., Comoretto, P., Compagni, M., Conte, O., Contri, S., Contrisciani, A., Coppetti, T., Corasaniti, F., Corradi, M. T., Corsano, A., Corsini, A., Corti, N., Costantini, G., Costantino, A., Cotroneo, S., Cozzi, D., Cravello, M. G., Cristiano, E., Cucchi, R., Cusmai, L., D’Errico, G. B., D’Agostino, P., Dal Bianco, L., Dal Mutto, U., Dal Pozzo, G., Dallapiccola, P., Dallatorre, G., Dalle Molle, G., Dalloni, E., D’Aloiso, A., D’Amicis, G., Danese, R., Danieli, D., Danisi, G., D’Anna, M. A., Danti, G., D’Ascanio, S., Davidde, G., De Angeli, D., De Bastiani, R., De Battisti, A., De Bellis, A., De Berardinis, G., De Carlo, F., De Giorgi, D., De Gobbi, R., De Lorenzis, E., De Luca, P., De Martini, G., De Marzi, M., De Matteis, D., De Padova, S., De Polo, P., De Sabato, N., De Stefano, T., De Vita, M. T., De Vito, U., De Zolt, V., Debernardi, F., Del Carlo, A., Del Re, G., Del Zotti, F., D’Elia, R., Della Giovanna, P., Dell’Acqua, L., Dell’Orco, R. L., Demaria, G., Di Benedetto, M. G., Di Chiara, G., Di Corcia, V., Di Domizio, O., Di Donato, P., Di Donato, S., Di Fermo, G., Di Franco, M., Di Giovannantonio, G., Di Lascio, G., Di Lecce, G., Di Lorenzo, N., Di Maro, T., Di Mattia, Q., Di Michele, E., Di Modica, R. S., Di Murro, D., Di Noi, M. C., Di Paoli, V., Di Santi, M., Di Sanzo, A., Di Turi, C., Diazzi, A., Dileo, I., D’Ingianna, A. P., Dolci, A., Donà, G., Donato, C., Donato, P., Donini, A., Donna, M. E., Donvito, T. V., Esposito, L., Esposito, N., Evangelista, M., Faita, G., Falco, M., Falcone, D. A., Falorni, F., Fanciullacci, A., Fanton, L., Fasolo, L., Fassina, R., Fassone, A., Fatarella, P., Fedele, F., Fera, I., Fera, L., Ferioli, S., Ferlini, M. G., Ferlino, R., Ferrante, G., Ferrara, F. N., Ferrarese, M. F., Ferrari, G., Ferrari, O., Ferreri, A., Ferroni, M., Fezzi, G., Figaroli, C., Fina, M. G., Fioretta, A., Fiorucci, C., Firrincieli, R., Fischetti, M., Fischietti, G., Fiume, D. C., Flecchia, G., Forastiere, G., Fossati, B., Franceschi, P. L., Franchi, L., Franzoso, F., Frapporti, G., Frasca, G., Frisotti, A., Fumagalli, G., Fusco, D., Gabriele, P., Gabrieli, A., Gagliano, D., Galimberti, G., Galli, A., Gallicchio, N., Gallio, F., Gallipoli, T., Gallo, P., Galopin, T., Gambarelli, L., Garbin, A., Garozzo, G. M., Gasparri, R., Gastaldo, M., Gatti, E., Gazzaniga, P., Gennachi, N., Gentile, R. V., Germani, P., Gesualdi, F., Gherardi, E., Ghezzi, C., Ghidini, M. G., Ghionda, F., Giacci, L., Gialdini, D., Giampaolo, C., Giancane, R., Giannanti, A., Giannese, S., Giannini, L., Giaretta, M., Giaretta, R., Giavardi, L., Giordano, P., Giordano, E., Giordano, B., Gioria, G. M., Giugliano, R., Grassi, E. A., Greco, A., Greco, L., Grilletti, N., Grimaldi, N., Grisetti, G., Groppelli, G., Gualtieri, L., Guarducci, M., Guastella, G., Guerra, M., Guerrini, F., Guglielmini, A., Guido, A., Gulotta, P., Iacono, E., Iadarola, G., Ianiro, G., Iarussi, V., Ieluzzi, M. L., Ierardi, C., Ingaldi, F., Interlandi, S., Iocca, M., Iorno, A., Ioverno, E., Iurato, R., La Pace, L., La Piscopia, C., La Selva, R., Lafratta, M., Lamparelli, M., Lanaro, G., Lancerotto, R., Larcher, M., Lassandro, M., Lattuada, G., Laurino, P., Lefons, C., Legrottaglie, F., Lemma, A., Leone, D., Leone, F., Leso, A., Leuzzi, G., Levato, G., Libardi, L., Libralesso, N., Licini, P. I., Licursi, G., Lidonnici, F., Lillo, C., Liveri, L., Livio, A., Loiero, R. A., Loison, M., Lombardo, G., Lombardo, T., Lomunno, V., Lomuscio, S., Lonedo, A., Longo, E., Longoni, P., Lora, L., Lotterio, A., Lucatello, L., Luongo, A., Lupoli, M., Macchia, C., Macri, G., Mafessanti, M., Maggialetti, V., Maggioni, A., Magnani, M., Maiellaro, G., Mancuso, A., Maniglio, A. R., Mannari, G. L., Manni, A., Manocchio, B., Mao, M., Maranò, A., Maraone, E., Marascio, D., Marcheselli, P., Marchetto, B., Marchetto, S., Marchi, A., Marchi, G. L., Mariano, C., Marinacci, S., Marinelli, S., Marini, G., Marra, V. C., Marrali, F., Marseglia, C., Martello, G., Martino, C., Martino, G., Martino, M., Marulli, C. F., Maruzzi, G., Marzotti, A., Mascheroni, G., Mascolo, P., Masoch, G., Masone, R., Massa, E., Massa, L., Massafra, M., Massi, M., Massignani, D. M., Matarese, A. M., Matini, G., Mauro, R., Mazzi, M., Mazzillo, A., Mazzocato, E., Mazzoleni, N. S., Mazzone, A., Melacci, A., Mele, E., Meliota, P., Menaspà, S., Meneghello, F., Merola, G., Merone, L., Metrucci, A., Mezzina, V., Micchi, A., Michielon, A., Migliore, N., Minero, G., Minotta, F., Mirandola, C., Mistrorigo, S., Modafferi, L., Moitre, R., Mola, E., Monachese, C., Mongiardini, C., Montagna, F., Montani, M., Montemurno, I., Montolli, R., Montorsi, S., Montresor, M., Monzani, M. G., Morabito, F., Mori, G., Moro, A., Mosca, M. F., Motti, F., Muddolon, L., Mugnai, M., Muscas, F., Naimoli, F., Nanci, G., Nargi, E., Nasorri, R., Nastrini, G., Negossi, M., Negrini, A., Negroni, A., Neola, V., Niccolini, F., Niro, C. M., Nosengo, C., Novella, G., Nuti, C., Obici, F., Olita, C., Oliverio, S. S., Olivieri, I., Oriente, S., Orlando, G., Paci, C., Pagano, G., Pagliara, C., Paita, G., Paladini, G., Paladino, G., Palano, T., Palatella, A., Palermo, P., Palmisano, M., Pando, P., Panessa, P., Panigo, F., Panozzo, G., Panvini, F., Panzieri, F., Panzino, A., Panzitta, F., Paoli, N., Papagna, R., Papaleo, M. G., Papalia, G., Parisi, R., Parotti, N., Parravicini, D., Passarella, P., Pastore, G. A., Patafio, M., Pavone, P., Pedroli, W., Pedroni, M., Pelligra, G., Pellizzari, M., Penati, A., Perlot, M., Perrone, A., Perrone, G., Peruzzi, P., Peselli, C., Petracchini, L., Petrera, L., Petrone, S., Peverelli, C., Pianorsi, F., Piazza, G. P., Piazzolla, G., Picci, A., Pienabarca, G., Pietronigro, T. P., Pignocchino, P., Pilone, R., Pinto, D., Pirovano, E., Pirrotta, D., Pisante, V., Pitotto, P., Pittari, L., Piva, A., Pizzoglio, A., Plantera, O. R., Plebani, W., Plessi, S., Podrecca, D., Poerio, V., Poggiani, F., Pogliani, W., Poli, L., Poloni, F. G., Porcelli, R., Porto, S., Pranzo, L., Prevedello, C., Profeta, C., Profico, D., Punzi, A., Quaglia, G. M., Racano, M., Raccone, A., Radice, F., Raho, C. A., Raimondi, R., Rainò, M., Ramponi, R., Ramunni, A., Ramunni, A. L., Ravasio, F., Ravera, M., Re Sartò, G., Rebustello, G., Regazzoli, S., Restelli, C., Rezzonico, M., Ricchiuto, F., Rigo, S., Rigon, G., Rigon, R., Rinaldi, O. V., Rinaldi, M., Risplendente, P. G., Rispoli, M., Riundi, R., Riva, M. G., Rizzi, A. L., Rizzi, D., Rizzo, L. D., Rocchi, L., Rondinone, B., Rosa, B., Rosati, F., Roselli, F., Rossetti, A., Rossetti, C., Rossi, R., Rossi, P. R., Rossi, A., Rossi, C. L., Rossitto, A., Ruffini, R., Ruffo, A., Ruggio, S., Ruo, M., Russo, B., Russo, L., Russo, R., Russo, S., Russo, U., Russo, V., Ruta, G., Sacchi, F., Sacco Botto, F., Saia, A., Salladini, G., Salmoiraghi, S., Saluzzo, F., Salvatore, C., Salvatori, E., Salvio, G., Sandri, P., Sandrini, T., Sangermano, V., Santoni, N., Saracino, A. D., Saracino, A., Sarasin, P., Sardo Infirri, C., Sarrì, B., Sartori, G., Sartori, N., Sauro, C., Scaglioni, M., Scalfi, C., Scamardella, A. M., Scandale, G., Scandone, L., Scannavini, G., Scarati, R., Scardi, A., Scarpa, F. M., Scazzi, P., Schifone, A., Schiroso, G., Scigliano, G., Scilla, A., Sciortino, M., Scolaro, G., Scollo, E., Scorretti, G., Sellitti, R., Selmo, A., Selvaggio, G., Sempio, A., Seren, F., Serio, L., Serra, C., Serra, L., Siciliano, D., Sideri, A., Sighele, M., Signore, R., Siliberto, F., Silvestro, M., Simioni, G., Simmini, G., Simonato, L., Sinchetto, F., Sizzano, E., Smajato, G., Smaldone, M., Sola, G., Sordillo, L., Sovran, C. S., Spagnul, P., Spanò, F., Sproviero, S., Squintani, A., Stella, L., Stilo, V., Stocchiero, B., Stornello, M. C., Stracka, G., Strada, S., Stranieri, G., Stucci, N., Stufano, N., Suppa, A., Susca, V. G., Sutti, M., Taddei, M., Tagliabue, E., Tagliente, G., Talato, F., Talerico, P., Talia, R., Taranto, R., Tartaglia, M., Tauro, N., Tedesco, A., Tieri, P., Tirelli, M., Tocci, L., Todesco, P., Tognolo, M., Tomba, A., Tonello, P., Tonon, R., Toscano, L., Tosi, A., Tosi, G., Toso, S., Travaglio, P., Tremul, L., Tresso, C., Triacchini, P., Triggiano, L., Trigilio, A., Trimeloni, J., Tripicchio, G., Tritto, G. S., Trono, F., Trotta, E., Trotta, G., Tubertini, A., Turri, C., Turri, L., Tuttolani, M. P., Urago, M., Ursini, G., Valcanover, F., Valente, L., Valenti, M., Valentini, F., Vallone, G., Valz, P., Valzano, L., Vanin, V., Vatteroni, M., Vegetti, L., Vendrame, D., Veramonti, I., Veronelli, G., Vesco, A., Vicariotto, G., Vignale, G., Villa, P. L., Vinciguerra, R., Visco, A., Visentin, G., Visonà, E., Vitali, E., Vitali, S., Vitti, F., Volpone, D. A., Zambon, N., Zammarrelli, A., Zanaboni, A., Zane, D., Zanetti, B., Zanibellato, R., Zappetti, M., Zappone, P., Zerilli, G., Zirino, V., Zoccali, R., Zuin, F., Altomonte, M., Anelli, N., Angiò, F., Annale, P., Antonacci, S., Anzilotta, R., Bano, F., Basadonna, O., Beduschi, L., Becagli, P., Bellotti, G., Blotta, C., Bruno, G., Cappuccini, A., Caramatti, S., Cariolato, M. P., Castellana, M., Castellani, L., Catania, R., Chielli, A., Chinellato, A., Ciaccia, A., Clerici, E., Cocci, A., Costanzo, G., D’Ercole, F., De Stefano, G., Decè, F., Di Cicco, N., Di Marco, A., Donati Sarti, C., Draghi, E., Dusi, G., Esposito, V., Ferraro, L., Ferretti, A., Ferri, E., Foggetti, L., Foglia, A., Fonzi, E., Frau, G., Fuoco, M. R., Furci, G., Gallo, L., Garra, V., Giannini, A., Gris, A., Iacovino, R., Interrigi, R., Joppi, R., Laner, B., La Fortezza, G., La Padula, A., Lista, M. R., Lupi, G., Maffei, D., Maggioni, G., Magnani, L., Marrazzo, E., Marcon, L., Marinò, V., Maroni, A., Martinelli, C., Mastandrea, E., Mastropierro, F., Meo, A. T., Mero, P., Minesso, E., Moschetta, V., Mosele, E., Nanni, C., Negretti, A., Nisticò, C., Orsini, A., Osti, M., Pacilli, M. C., Pennestre, C., Picerno, G., Piol, K., Pivano, L., Pizzuti, E., Poggi, L., Poidomani, I., Pozzetto, M., Presti, M. L., Ravani, R., Recalenda, V., Romagnuolo, F., Rossignoli, S., Rossin, E., Sabatella, C., Sacco, F., Sanità, F., Sansone, E., Servadei, F., Sisto, M. T., Sorio, A., Sorrentino, A., Spinelli, E., Spolaor, A., Squillacioti, A., Stella, P., Talerico, A., Todisco, C., Vadino, M., Zuliani, C., and Risk & Prevention Collaborative Group

Published
2017
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5. Retrieval and validation of forest background reflectivity from daily Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF) data across European forests

Author

Pisek, J., Erb, A., Korhonen, L., Biermann, T., Carrara, A., Cremonese, E., Cuntz, M., Fares, S., Gerosa, G., Grünwald, T., Hase, Jan Niklas, Heliasz, M., Ibrom, A., Knohl, A., Kobler, J., Kruijt, B., Lange, H., Leppänen, L., Limousin, J.-M., Lopez Serrano, F.R., Loustau, D., Lukeš, P., Lundin, L., Marzuoli, R., Mölder, M., Montagnani, L., Neirynck, J., Peichl, M., Rebmann, Corinna, Rubio, E., Santos-Reis, M., Schaaf, C., Schmidt, M., Simioni, G., Soudani, K., Vincke, C., Pisek, J., Erb, A., Korhonen, L., Biermann, T., Carrara, A., Cremonese, E., Cuntz, M., Fares, S., Gerosa, G., Grünwald, T., Hase, Jan Niklas, Heliasz, M., Ibrom, A., Knohl, A., Kobler, J., Kruijt, B., Lange, H., Leppänen, L., Limousin, J.-M., Lopez Serrano, F.R., Loustau, D., Lukeš, P., Lundin, L., Marzuoli, R., Mölder, M., Montagnani, L., Neirynck, J., Peichl, M., Rebmann, Corinna, Rubio, E., Santos-Reis, M., Schaaf, C., Schmidt, M., Simioni, G., Soudani, K., and Vincke, C.

Abstract

Information about forest background reflectance is needed for accurate biophysical parameter retrieval from forest canopies (overstory) with remote sensing. Separating under- and overstory signals would enable more accurate modeling of forest carbon and energy fluxes. We retrieved values of the normalized difference vegetation index (NDVI) of the forest understory with the multi-angular Moderate Resolution Imaging Spectroradiometer (MODIS) bidirectional reflectance distribution function (BRDF)/albedo data (gridded 500 m daily Collection 6 product), using a method originally developed for boreal forests. The forest floor background reflectance estimates from the MODIS data were compared with in situ understory reflectance measurements carried out at an extensive set of forest ecosystem experimental sites across Europe. The reflectance estimates from MODIS data were, hence, tested across diverse forest conditions and phenological phases during the growing season to examine their applicability for ecosystems other than boreal forests. Here we report that the method can deliver good retrievals, especially over different forest types with open canopies (low foliage cover). The performance of the method was found to be limited over forests with closed canopies (high foliage cover), where the signal from understory becomes too attenuated. The spatial heterogeneity of individual field sites and the limitations and documented quality of the MODIS BRDF product are shown to be important for the correct assessment and validation of the retrievals obtained with remote sensing.

Published
2021

6. Impact des condition locales de sol et sou-sol sur le variabilité inter-individuelle de réponse à la sécheresse : apport de la tomographie de résistivité électrique

Author

Carrière, S. D., Ruffault, J., Pimont, F., Doussan, C., Simioni, G, CHALIKAKIS, Konstantinos, Limousin, J.-M, Scotti, I, Courdier, F, Cakpo, C.-B, Davi, H, Martin St-Paul, N. K., Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Avignon Université (AU), Service National d'Observation sur le KARST (SNO Karst), Institut national des sciences de l'Univers (INSU - CNRS), Risques, Ecosystèmes, Vulnérabilité, Environnement, Résilience (RECOVER), Aix Marseille Université (AMU)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Institut National de la Recherche Agronomique (INRA), Unité de Recherches Forestières Méditerranéennes (URFM), Centre d’Ecologie Fonctionnelle et Evolutive (CEFE), Université Paul-Valéry - Montpellier 3 (UPVM)-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 de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Institut Agro - 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), Unité de recherche Plantes et Systèmes de Culture Horticoles (PSH), 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), Institut de Recherche pour le Développement (IRD [France-Sud])-Centre National de la Recherche Scientifique (CNRS)-École pratique des hautes études (EPHE)-Université de Montpellier (UM)-Institut national d’études supérieures agronomiques de Montpellier (Montpellier SupAgro)-Institut National de la Recherche Agronomique (INRA)-Centre international d'études supérieures en sciences agronomiques (Montpellier SupAgro)-Université Paul-Valéry - Montpellier 3 (UM3), Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Aix Marseille Université (AMU), 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), and 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])

Subjects
leaf traits, [SDV.EE]Life Sciences [q-bio]/Ecology, environment, Mediterranean forests, [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], hydrogeophysics, tree water status, ERT, drought response, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, [SDV.SA.SDS]Life Sciences [q-bio]/Agricultural sciences/Soil study, [SDU.STU.AG]Sciences of the Universe [physics]/Earth Sciences/Applied geology
Abstract

International audience; Inter-individual variability of tree drought responses within a stand has received little attention. Here we explore whether the spatial variations in soil/subsoil properties assessed through electrical resistivity tomography (ERT) could explain variations in drought response traits among trees.We used ERT to compute the percent variation in resistivity (PVR) between dry and wet conditions as an indicator of spatial variability in total available water content. PVR was computed in two different depth ranges (0-2 and 2-5 m) for eleven Quercus ilex stools in a Mediterranean forest stand. PVR values were compared to biological traits, including tree water status (predawn water potential (Ψ)), leaf traits (δ 13 C, leaf mass area (LMA)), and canopy defoliation measured after intense drought.We found significant correlations between PVR and biological variables. For Ψ , the nature and strength of the correlations vary according to the level of drought intensity. The correlation between Ψ and PVR was positive during well-watered conditions in the upper layer (0-2 m) and during water-limited conditions in the deeper layer (2-5 m). During most severe droughts, however, the Ψ was negatively correlated with PVR in the upper layer. Trees with lower PVR in the upper layer were also associated with water use efficiency (higher δ 13 C), higher LMA, and a lower level of defoliation after extreme drought.Overall, our results indicate that local differences in soil/subsoil properties affect tree response to drought and suggest that less favorable soil/subsoil conditions (lower PVR) can lead to lower water stress during the driest period and to lower defoliation after extreme drought. Plausible explanations for this better acclimation include higher stomatal regulation and improved deep soil and subsoil water exploration by trees located in more adverse conditions. We encourage the development of ERT in ecological studies to further explore the interrelated relationships between soil/subsoil, climate, and tree functioning.

Published
2020
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7. Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and laser spectrometry : a dataset to explore tree response to drought [Data paper]

Author

Carrière, S. D., Martin-StPaul, N. K., Cakpo, C. B., Patris, Nicolas, Gillon, M., Chalikakis, K., Doussan, C., Olioso, A., Babic, M., Jouineau, A., Simioni, G., and Davi, H.

Subjects
H-2, Xylem isotopes, O-18, Tree
Abstract

Water isotopes from plant xylem and surrounding environment are increasingly used in eco- hydrological studies. Carriere et al. [1] analyzed a dataset of water isotopes in (i) the xylem of three different tree species, (ii) the surrounding soil and drainage water and (iii) the underlying karst groundwater, to understand tree water uptake during drought in two different Mediterranean forests on karst setting. The xylem and soil water were extracted by cryogenic distillation. The full dataset was obtained with Isotope Ratio Mass Spectrometry (IRMS) and Isotope Ratio Infrared Spectrometer (IRIS), and included 219 measurements of d2H and d18O. Prompted by unexpected isotopic data characterized by a very negative deuterium excess, a subsample of 46 xylem samples and 9 soil water samples were double checked with both analytical techniques. IRMS and IRIS analyses yielded similar data. Therefore, the results reveal that laser spectrometry allows an accurate estimation of xylem and soil water isotopes. The dataset highlights a strong 2H depletion in xylem water for all species. Deuterium does not seem adequate to interpret ecological processes in this dataset given the strong fractionation.

Published
2020

8. Monitoring evapotranspiration from remote sensing data for groundwater resources evaluation

Author

Olioso, Albert, Allies, A., Ollivier, C., Boulet, G., Demarty, Jérôme, Weiss, M., Leblanc, M., Martin-StPaul, N., Marloie, O., Simioni, G., Cappelaere, Bernard, Huard, F., Environnement Méditerranéen et Modélisation des Agro-Hydrosystèmes (EMMAH), Avignon Université (AU)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE), Hydrosciences Montpellier (HSM), Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut Parisien de Chimie Moléculaire (IPCM), Centre National de la Recherche Scientifique (CNRS)-Université Pierre et Marie Curie - Paris 6 (UPMC), Centre d'études spatiales de la biosphère (CESBIO), Institut de Recherche pour le Développement (IRD)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Observatoire Midi-Pyrénées (OMP), Université Fédérale Toulouse Midi-Pyrénées-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Institut des Molécules et Matériaux du Mans (IMMM), Le Mans Université (UM)-Centre National de la Recherche Scientifique (CNRS), UE Agroclim (UE AGROCLIM), Institut National de la Recherche Agronomique (INRA), Hibade, Monique, Institut national des sciences de l'Univers (INSU - CNRS)-Institut de Recherche pour le Développement (IRD)-Université Montpellier 2 - Sciences et Techniques (UM2)-Université de Montpellier (UM)-Centre National de la Recherche Scientifique (CNRS), Institut de Chimie du CNRS (INC)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Centre National de la Recherche Scientifique (CNRS), Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Institut National de Recherche pour l’Agriculture, l’Alimentation et l’Environnement (INRAE)-Université Toulouse III - Paul Sabatier (UT3), Université Fédérale Toulouse Midi-Pyrénées-Université Fédérale Toulouse Midi-Pyrénées-Institut national des sciences de l'Univers (INSU - CNRS)-Observatoire Midi-Pyrénées (OMP), Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Université Fédérale Toulouse Midi-Pyrénées-Centre National de la Recherche Scientifique (CNRS)-Institut de Recherche pour le Développement (IRD)-Météo France-Centre National d'Études Spatiales [Toulouse] (CNES)-Centre National de la Recherche Scientifique (CNRS), Le Mans Université (UM)-Institut de Chimie du CNRS (INC)-Centre National de la Recherche Scientifique (CNRS), and Agroclim (AGROCLIM)

Subjects
[SDU.STU.HY] Sciences of the Universe [physics]/Earth Sciences/Hydrology, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, ComputingMilieux_MISCELLANEOUS
Abstract

International audience

Published
2019

10. Towards long-term standardised carbon and greenhouse gas observations for monitoring Europe’s terrestrial ecosystems: a review

Author

Franz, D., Acosta, M., Altimir, N., Arriga, N., Arrouays, D., Aubinet, M., Aurela, M., Ayres, E., López-Ballesteros, A., Barbaste, M., Berveiller, D., Biraud, S., Boukir, H., Brown, T., Brümmer, C., Buchmann, N., Burba, G., Carrara, A., Cescatti, A., Ceschia, E., Clement, R., Cremonese, E., Crill, E., Darenova, E., Dengel, S., D’Odorico, P., Filippa, G., Fleck, S., Fratini, G., Fuß, R., Gielen, B., Gogo, S., Grace, J., Graf, A., Grelle, A., Gross, P., Grünwald, T., Haapanala, S., Hehn, M., Heinesch, B., Heiskanen, J., Herbst, M., Herschlein, C., Hörtnagl, L., Hufkens, K., Ibrom, A., Jolivet, C., Joly, L., Jones, M., Migliavacca, M., Mölder, M., Montagnani, L., Moureaux, C., Nelson, D., Nemitz, E., Nicolini, G., Nilsson, M.B., Op de Beeck, M., Osborne, B., Löfvenius, M.O., Pavelka, M., Peichl, M., Peltola, O., Pihlatie, M., Pitacco, A., Pokorný, R., Pumpanen, J., Ratié, C., Rebmann, Corinna, Roland, M., Sabbatini, S., Saby, N.P.A., Saunders, M., Schmid, H.P., Schrumpf, M., Sedlák, P., Serrano Ortiz, P., Siebicke, L., Šigut, L., Silvennoinen, H., Simioni, G., Skiba, U., Sonnentag, O., Soudani, K., Soulé, P., Steinbrecher, R., Tallec, T., Thimonier, A., Tuittila, E.-S., Tuovinen, J.-P., Vestin, P., Vincent, G., Vincke, C., Vitale, D., Waldner, P., Weslien, P., Wingate, L., Wohlfahrt, G., Zahniser, M., Vesala, T., Franz, D., Acosta, M., Altimir, N., Arriga, N., Arrouays, D., Aubinet, M., Aurela, M., Ayres, E., López-Ballesteros, A., Barbaste, M., Berveiller, D., Biraud, S., Boukir, H., Brown, T., Brümmer, C., Buchmann, N., Burba, G., Carrara, A., Cescatti, A., Ceschia, E., Clement, R., Cremonese, E., Crill, E., Darenova, E., Dengel, S., D’Odorico, P., Filippa, G., Fleck, S., Fratini, G., Fuß, R., Gielen, B., Gogo, S., Grace, J., Graf, A., Grelle, A., Gross, P., Grünwald, T., Haapanala, S., Hehn, M., Heinesch, B., Heiskanen, J., Herbst, M., Herschlein, C., Hörtnagl, L., Hufkens, K., Ibrom, A., Jolivet, C., Joly, L., Jones, M., Migliavacca, M., Mölder, M., Montagnani, L., Moureaux, C., Nelson, D., Nemitz, E., Nicolini, G., Nilsson, M.B., Op de Beeck, M., Osborne, B., Löfvenius, M.O., Pavelka, M., Peichl, M., Peltola, O., Pihlatie, M., Pitacco, A., Pokorný, R., Pumpanen, J., Ratié, C., Rebmann, Corinna, Roland, M., Sabbatini, S., Saby, N.P.A., Saunders, M., Schmid, H.P., Schrumpf, M., Sedlák, P., Serrano Ortiz, P., Siebicke, L., Šigut, L., Silvennoinen, H., Simioni, G., Skiba, U., Sonnentag, O., Soudani, K., Soulé, P., Steinbrecher, R., Tallec, T., Thimonier, A., Tuittila, E.-S., Tuovinen, J.-P., Vestin, P., Vincent, G., Vincke, C., Vitale, D., Waldner, P., Weslien, P., Wingate, L., Wohlfahrt, G., Zahniser, M., and Vesala, T.

Abstract

Research infrastructures play a key role in launching a new generation of integrated long-term, geographically distributed observation programmes designed to monitor climate change, better understand its impacts on global ecosystems, and evaluate possible mitigation and adaptation strategies. The pan-European Integrated Carbon Observation System combines carbon and greenhouse gas (GHG; CO2, CH4, N2O, H2O) observations within the atmosphere, terrestrial ecosystems and oceans. High-precision measurements are obtained using standardised methodologies, are centrally processed and openly available in a traceable and verifiable fashion in combination with detailed metadata. The Integrated Carbon Observation System ecosystem station network aims to sample climate and land-cover variability across Europe. In addition to GHG flux measurements, a large set of complementary data (including management practices, vegetation and soil characteristics) is collected to support the interpretation, spatial upscaling and modelling of observed ecosystem carbon and GHG dynamics. The applied sampling design was developed and formulated in protocols by the scientific community, representing a trade-off between an ideal dataset and practical feasibility. The use of open-access, high-quality and multi-level data products by different user communities is crucial for the Integrated Carbon Observation System in order to achieve its scientific potential and societal value.

Published
2018

11. Are all people with diabetes and cardiovascular risk factors or microvascular complications at very high risk? Findings from the Risk and Prevention Study

Author

Marzona, I., Avanzini, F., Lucisano, G., Tettamanti, M., Baviera, M., Nicolucci, A., Roncaglioni, M. C., Tombesi, M., Tognoni, G., Massa, E., Marrocco, W., Micalella, M., Caimi, V., Longoni, P., Franzosi, M. G., Monesi, L., Pangrazzi, I., Barlera, S., Milani, V., Nicolis, E., Casola, C., Clerici, F., Palumbo, A., Sgaroni, G., Marchioli, R., Silletta, M. G., Pioggiarella, R., Scarano, M., Marfisi, R. M., Flamminio, A., Macino, L., Ferri, B., Pera, C., Polidoro, A., Abbatino, D., Acquati, M., Addorisio, G., Adinolfi, D., Adreani, L., Agistri, M. R., Agneta, A., Agnolio, M. L., Agostini, N., Agostino, G., Airo, A., Alaimo, N., Albano, M., Albano, N., Alecci, G., Alemanno, S., Alexanian, A., Alfarano, M., Alfe, L., Alonzo, N., Alvino, S., Ancora, A., Andiloro, S., Andreatta, E., Angeli, S., Angiari, F., Angilletti, V., Annicchiarico, C., Anzivino, M., Aprea, R., Aprile, A., Aprile, E., Aprile, I., Aprile, L., Armellani, V., Arnetoli, M., Aronica, A., Autiero, V., Bacca, G., Baccalaro, A. M., Bacci, M., Baglio, G., Bagnani, M., Baiano, A., Baldari, A., Ballarini, L., Banchi, G., Bandera, R., Bandini, F., Baratella, M., Barbieri, A., Barbieri Vita, A., Bardi, M., Barlocchi, M., Baron, P., Bartoli, M., Basile, A., Basile, F., Basile, S., Battaggia, A., Battaglia, A., Bau, A., Beconcini, G., Beggio, R., Belfiore, P. A., Belicchi, M., Bellamoli, S., Bellini, C., Bellomo, M., Benetollo, C., Benetti, R., Beretta, E., Bertalero, P., Bertaso, F. G., Bertolani, U., Bettelli, G., Biagiotti, G., Bianchi, S., Bianco, G., Biccari, F., Bigioli, F., Bindi, M., Bisanti, G., Bitetti, E. M., Blasetti, M. P., Blesi, F., Boato, V., Boga, S., Boidi, E., Boldrin, G., Bollati, A., Bolzan, L., Bolzonella, S., Bonardi, P., Bonato, G. B., Bonci, M., Bonfitto, G., Bonincontro, E., Boninsegna, F., Bonissone, D., Bono, L., Bonollo, E., Borghi, M., Borioli, N., Borsatto, M., Bosco, T., Bosisio Pioltelli, M., Botarelli, C., Botassis, S., Bottini, F., Bottos, C., Bova, G., Bova, V., Bozzani, A., Bozzetto, R. M., Braga, V. T., Braglia, M., Bramati, E., Brazzoli, C., Breglia, G., Brescia, A., Briganti, D., Brigato, G., Brocchi, A., Brosio, F. A., Bruni, E., Buscaglia, E., Bussini, M. D., Bussotti, A., Buzzaccarini, F., Buzzatti, A., Caccamo, G., Cacciavillani, C., Caggiano, G., Calciano, F. P., Calderisi, M., Calienno, S., Caltagirone, P., Calzolari, I., Cammisa, M., Campanaro, M., Campanella, G. B., Campese, F., Canali, G., Candiani, D. E. L., Canepa, R., Canini, D., Canino, A., Cantoro, E. A., Capilupi, V., Capotosto, P., Cappelli, B., Capraro, G., Carafa, F. A., Carano, Q., Carcaterra, V., Carriero, D., Carrozzo, G., Cartanese, M., Casalena, M., Casarola, M., Caso, C., Casotto, M., Castaldi, F., Castegnaro, R., Castellani, G., Castri, S., Catalano, E., Catinello, N., Caturano, G., Cavallaro, R., Cavallo, A. M., Cavallo, G., Cavion, M. T., Cavirani, G., Cazzaniga, F., Cazzetta, D., Cecconi, V., Cefalo, A., Celebrano, M., Celora, A., Centonze, P., Cerati, D., Cesaretti, D., Checchia, G., Checchin, A., Cherubini, M., Chianese, L., Chiappa, A., Chiappa, M. V., Chiariello, G., Chiavini, G., Chicco, M., Chiumeo, F., Ciacciarelli, A., Ciaci, D., Ciancaglini, R., Cicale, C., Cicale, S., Cipolla, A., Ciruolo, A., Citeri, A. L., Citterio, G., Clerici, M., Coazzoli, E., Collecchia, G., Colletta, F., Colombo, I., Colorio, P., Coluccia, S., Comerio, M., Comoretto, P., Compagni, M., Conte, O., Contri, S., Contrisciani, A., Coppetti, T., Corasaniti, F., Corradi, M. T., Corsano, A., Corsini, A., Corti, N., Costantini, G., Costantino, A., Cotroneo, S., Cozzi, D., Cravello, M. G., Cristiano, E., Cucchi, R., Cusmai, L., D'Errico, G. B., D'Agostino, P., Dal Bianco, L., Dal Mutto, U., Dal Pozzo, G., Dallapiccola, P., Dallatorre, G., Dalle Molle, G., Dalloni, E., D'Aloiso, A., D'Amicis, G., Danese, R., Danieli, D., Danisi, G., D'Anna, M. A., Danti, G., D'Ascanio, S., Davidde, G., De Angeli, D., De Bastiani, R., De Battisti, A., De Bellis, A., De Berardinis, G., De Carlo, F., De Giorgi, D., De Gobbi, R., De Lorenzis, E., De Luca, P., De Martini, G., De Marzi, M., De Matteis, D., De Padova, S., De Polo, P., De Sabato, N., De Stefano, T., De Vita, M. T., De Vito, U., De Zolt, V., Debernardi, F., Del Carlo, A., Del Re, G., Del Zotti, F., D'Elia, R., Della Giovanna, P., Dell'Acqua, L., Dell'Orco, R. L., Demaria, G., Di Benedetto, M. G., Di Chiara, G., Di Corcia, V., Di Domizio, O., Di Donato, P., Di Donato, S., Di Fermo, G., Di Franco, M., Di Giovannantonio, G., Di Lascio, G., Di Lecce, G., Di Lorenzo, N., Di Maro, T., Di Mattia, Q., Di Michele, E., Di Modica, R. S., Di Murro, D., Di Noi, M. C., Di Paoli, V., Di Santi, M., Di Sanzo, A., Di Turi, C., Diazzi, A., Dileo, I., D'Ingianna, A. P., Dolci, A., Dona, G., Donato, C., Donato, P., Donini, A., Donna, M. E., Donvito, T. V., Esposito, L., Esposito, N., Evangelista, M., Faita, G., Falco, M., Falcone, D. A., Falorni, F., Fanciullacci, A., Fanton, L., Fasolo, L., Fassina, R., Fassone, A., Fatarella, P., Fedele, F., Fera, I., Fera, L., Ferioli, S., Ferlini, M. G., Ferlino, R., Ferrante, G., Ferrara, F. N., Ferrarese, M. F., Ferrari, G., Ferrari, O., Ferreri, A., Ferroni, M., Fezzi, G., Figaroli, C., Fina, M. G., Fioretta, A., Fiorucci, C., Firrincieli, R., Fischetti, M., Fischietti, G., Fiume, D. C., Flecchia, G., Forastiere, G., Fossati, B., Franceschi, P. L., Franchi, L., Franzoso, F., Frapporti, G., Frasca, G., Frisotti, A., Fumagalli, G., Fusco, D., Gabriele, P., Gabrieli, A., Gagliano, D., Galimberti, G., Galli, A., Gallicchio, N., Gallio, F., Gallipoli, T., Gallo, P., Galopin, T., Gambarelli, L., Garbin, A., Garozzo, G. M., Gasparri, R., Gastaldo, M., Gatti, E., Gazzaniga, P., Gennachi, N., Gentile, R. V., Germani, P., Gesualdi, F., Gherardi, E., Ghezzi, C., Ghidini, M. G., Ghionda, F., Giacci, L., Gialdini, D., Giampaolo, C., Giancane, R., Giannanti, A., Giannese, S., Giannini, L., Giaretta, M., Giaretta, R., Giavardi, L., Giordano, P., Giordano, E., Giordano, B., Gioria, G. M., Giugliano, R., Grassi, E. A., Greco, A., Greco, L., Grilletti, N., Grimaldi, N., Grisetti, G., Groppelli, G., Gualtieri, L., Guarducci, M., Guastella, G., Guerra, M., Guerrini, F., Guglielmini, A., Guido, A., Gulotta, P., Iacono, E., Iadarola, G., Ianiro, G., Iarussi, V., Ieluzzi, M. 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Subjects
Male, medicine.medical_specialty, Endocrinology, Diabetes and Metabolism, Population, 030209 endocrinology & metabolism, 030204 cardiovascular system & hematology, Overweight, 03 medical and health sciences, 0302 clinical medicine, Endocrinology, Prediction model, Internal medicine, Diabetes mellitus, Internal Medicine, Diabetes Mellitus, Medicine, Humans, Multicenter Studies as Topic, Myocardial infarction, Risk factor, education, Stroke, Aged, Randomized Controlled Trials as Topic, education.field_of_study, Lifestyle habits, business.industry, Major cardiovascular events, Atrial fibrillation, General Medicine, Middle Aged, medicine.disease, Cardiovascular Diseases, Heart failure, Physical therapy, Female, medicine.symptom, business, Diabetic Angiopathies
Abstract

To verify whether it is possible, in people with diabetes mellitus (DM) considered at very high cardiovascular (CV) risk, stratify this risk better and identify significant modifiable risk factor (including lifestyle habits) to help patients and clinicians improve CV prevention. People with DM and microvascular diseases or one or more CV risk factors (hypertension, hyperlipidemia, smoking, poor dietary habits, overweight, physical inactivity) included in the Risk and Prevention study were selected. We considered the combined endpoint of non-fatal acute myocardial infarction and stroke and CV death. A multivariate Cox proportional analysis was carried out to identify relevant predictors. We also used the RECPAM method to identify subgroups of patients at higher risk. In our study, the rate of major CV events was lower than expected (5 % in 5 years). Predictors of CV events were age, male, sex, heart failure, previous atherosclerotic disease, atrial fibrillation, insulin treatment, high HbA1c, heart rate and other CV diseases while being physically active was protective. RECPAM analysis indicated that history of atherosclerotic diseases and a low BMI defined worse prognosis (HR 4.51 95 % CI 3.04–6.69). Among subjects with no previous atherosclerotic disease, men with HbA1c more than 8 % were at higher CV risk (HR 2.77; 95 % CI 1.86–4.14) with respect to women. In this population, the rate of major CV events was lower than expected. This prediction model could help clinicians identify people with DM at higher CV risk and support them in achieving goals of physical activity and HbA1c.

Published
2016

12. N-3 fatty acids in patients with multiple cardiovascular risk factors

Author

Roncaglioni, Maria Carla, Avanzini, Fausto, Barlera, Simona, Marzona, Irene, Milani, Valentina, Tombesi, Massimo, Caimi, Vittorio, Longoni, Paolo, Silletta, Maria Giuseppina, Tognoni, Gianni, Marchioli, Avanzini F, Roberto., Caimi, V, Longoni, P, Marchioli, R, Roncaglioni, Mc, Silletta, Mg, Tognoni, G, Tombesi, M, Barlera, S, Milani, V, Nicolis, Eb, Casola, C, Marzona, I, Massa, E, Marrocco, W, Micalella, M, Avanzini, F, Franzosi, Mg, Geraci, E, Giansiracusa, N, Rocchetti, L, Decarli, A, Satolli, R, Alli, C, Beghi, E, Bertele', V, Volpi, A, Baviera, M, Monesi, L, Pangrazzi, I, Nicolis, E, Clerici, F, Palumbo, A, Sgaroni, G, Pioggiarella, R, Scarano, M, Marfisi, Rm, Flamminio, A, Macino, L, Ferri, B, Pera, C, Polidoro, A, Abbatino, D, Acquati, M, Addorisio, G, Adinolfi, D, Adreani, L, Agistri, Mr, Agneta, A, Agnolio, Ml, Agostini, N, Agostino, G, Airò, A, Alaimo, N, Albano, M, Albano, N, Alecci, G, Alemanno, S, Alexanian, A, Alfarano, M, Alfè, L, Alonzo, N, Alvino, S, Ancora, A, 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Ferroni, M, Fezzi, G, Figaroli, C, Fina, Mg, Fioretta, A, Fiorucci, C, Firrincieli, R, Fischetti, M, Fischietti, G, Fiume, Dc, Flecchia, G, Forastiere, G, Fossati, B, Franceschi, Pl, Franchi, L, Franzoso, F, Frapporti, G, Frasca, G, Frisotti, A, Fumagalli, G, Fusco, D, Gabriele, P, Gabrieli, A, Gagliano, D, Galimberti, G, Galli, A, Gallicchio, N, Gallio, F, Gallipoli, T, Gallo, P, Galopin, T, Gambarelli, L, Garbin, A, Garozzo, Gm, Gasparri, R, Gastaldo, M, Gatti, E, Gazzaniga, P, Gennachi, N, Gentile, Rv, Germani, P, Gesualdi, F, Gherardi, E, Ghezzi, C, Ghidini, Mg, Ghionda, F, Giacci, L, Gialdini, D, Giampaolo, C, Giancane, R, Giannanti, A, Giannese, S, Giannini, L, Giaretta, M, Giaretta, R, Giavardi, L, Giordano, P, Giordano, E, Giordano, B, Gioria, Gm, Giugliano, R, Grassi, Ea, Greco, A, Greco, L, Grilletti, N, Grimaldi, N, Grisetti, G, Groppelli, G, Gualtieri, L, Guarducci, M, Guastella, G, Guerra, M, Guerrini, F, Guglielmini, A, Guido, A, Gulotta, P, Iacono, E, Iadarola, G, Ianiro, G, Iarussi, V, Ieluzzi, Ml, Ierardi, C, Ingaldi, F, Interlandi, S, Iocca, M, Iorno, A, Ioverno, E, Iurato, R, La Pace, L, La Piscopia, C, La Selva, R, Lafratta, M, Lamparelli, M, Lanaro, G, Lancerotto, R, Larcher, M, Lassandro, M, Lattuada, G, Laurino, P, Lefons, C, Legrottaglie, F, Lemma, A, Leone, D, Leone, F, Leso, A, Leuzzi, G, Levato, G, Libardi, L, Libralesso, N, Licini, Pi, Licursi, G, Lidonnici, F, Lillo, C, Liveri, L, Livio, A, Loiero, Ra, Loison, M, Lombardo, G, Lombardo, T, Lomunno, V, Lomuscio, S, Lonedo, A, Longo, E, Lora, L, Lotterio, A, Lucatello, L, Luongo, A, Lupoli, M, Macchia, C, Macri, G, Mafessanti, M, Maggialetti, V, Maggioni, A, Magnani, M, Maiellaro, G, Mancuso, A, Maniglio, Ar, Mannari, Gl, Manni, A, Manocchio, B, Mao, M, Maranò, A, Maraone, E, Marascio, D, Marcheselli, P, Marchetto, B, Marchetto, S, Marchi, A, Marchi, Gl, Mariano, C, Marinacci, S, Marinelli, S, Marini, G, Marra, Vc, Marrali, F, Marseglia, C, Martello, G, Martino, C, Martino, G, Martino, M, Marulli, Cf, Maruzzi, G, Marzotti, A, Mascheroni, G, Mascolo, P, Masoch, G, Masone, R, Massa, L, Massafra, M, Massi, M, Massignani, Dm, Matarese, Am, Matini, G, Mauro, R, Mazzi, M, Mazzillo, A, Mazzocato, E, Mazzoleni, Ns, Mazzone, A, Melacci, A, Mele, E, Meliota, P, Menaspà, S, Meneghello, F, Merola, G, Merone, L, Metrucci, A, Mezzina, V, Micchi, A, Michielon, A, Migliore, N, Minero, G, Minotta, F, Mirandola, C, Mistrorigo, S, Modafferi, L, Moitre, R, Mola, E, Monachese, C, Mongiardini, C, Montagna, F, Montani, M, Montemurno, I, Montolli, R, Montorsi, S, Montresor, M, Monzani, Mg, Morabito, F, Mori, G, Moro, A, Mosca, Mf, Motti, F, Muddolon, L, Mugnai, M, Muscas, F, Naimoli, F, Nanci, G, Nargi, E, Nasorri, R, Nastrini, G, Negossi, M, Negrini, A, Negroni, A, Neola, V, Niccolini, F, Niro, Cm, Nosengo, C, Novella, G, Nuti, C, Obici, F, Olita, C, Oliverio, Ss, Olivieri, I, Oriente, S, Orlando, G, Paci, C, Pagano, G, Pagliara, C, Paita, G, Paladini, G, Paladino, G, Palano, T, Palatella, A, Palermo, P, Palmisano, M, Pando, P, Panessa, P, Panigo, F, Panozzo, G, Panvini, F, Panzieri, F, Panzino, A, Panzitta, F, Paoli, N, Papagna, R, Papaleo, Mg, Papalia, G, Parisi, R, Parotti, N, Parravicini, D, Passarella, P, Pastore, Ga, Patafio, M, Pavone, P, Pedroli, W, Pedroni, M, Pelligra, G, Pellizzari, M, Penati, A, Perlot, M, Perrone, A, Perrone, G, Peruzzi, P, Peselli, C, Petracchini, L, Petrera, L, Petrone, S, Peverelli, C, Pianorsi, F, Piazza, Gp, Piazzolla, G, Picci, A, Pienabarca, G, Pietronigro, Tp, Pignocchino, P, Pilone, R, Pinto, D, Pirovano, E, Pirrotta, D, Pisante, V, Pitotto, P, Pittari, L, Piva, A, Pizzoglio, A, Plantera, Or, Plebani, W, Plessi, S, Podrecca, D, Poerio, V, Poggiani, F, Pogliani, W, Poli, L, Poloni, Fg, Porcelli, R, Porto, S, Pranzo, L, Prevedello, C, Profeta, C, Profico, D, Punzi, A, Quaglia, Gm, Racano, M, Raccone, A, Radice, F, Raho, Ca, Raimondi, R, Rainò, M, Ramponi, R, Ramunni, A, Ramunni, Al, Ravasio, F, Ravera, M, Re Sartò, G, Rebustello, G, Regazzoli, S, Restelli, C, Rezzonico, M, Ricchiuto, F, Rigo, S, Rigon, G, Rigon, R, Rinaldi, Ov, Rinaldi, M, Risplendente, Pg, Rispoli, M, Riundi, R, Riva, Mg, Rizzi, Al, Rizzi, D, Rizzo, Ld, Rocchi, L, Rondinone, B, Rosa, B, Rosati, F, Roselli, F, Rossetti, A, Rossetti, C, Rossi, R, Rossi, Pr, Rossi, A, Rossi, Cl, Rossitto, A, Ruffini, R, Ruffo, A, Ruggio, S, Ruo, M, Russo, B, Russo, L, Russo, R, Russo, S, Russo, U, Russo, V, Ruta, G, Sacchi, F, Sacco Botto, F, Saia, A, Salladini, G, Salmoiraghi, S, Saluzzo, F, Salvatore, C, Salvatori, E, Salvio, G, Sandri, P, Sandrini, T, Sangermano, V, Santoni, N, Saracino, Ad, Saracino, A, Sarasin, P, Sardo Infirri, C, Sarrì, B, Sartori, G, Sartori, N, Sauro, C, Scaglioni, M, Scalfi, C, Scamardella, Am, Scandale, G, Scandone, L, Scannavini, G, Scarati, R, Scardi, A, Scarpa, Fm, Scazzi, P, Schifone, A, Schirosa, G, Scigliano, G, Scilla, A, Sciortino, M, Scolaro, G, Scollo, E, Scorretti, G, Sellitti, R, Selmo, A, Selvaggio, G, Sempio, A, Seren, F, Serio, L, Serra, C, Serra, L, Siciliano, D, Sideri, A, Sighele, M, Signore, R, Siliberto, F, Silvestro, M, Simioni, G, Simmini, G, Simonato, L, Sinchetto, F, Sizzano, E, Smajato, G, Smaldone, M, Sola, G, Sordillo, L, Sovran, Cs, Spagnul, P, Spanò, F, Sproviero, S, Squintani, A, Stella, L, Stilo, V, Stocchiero, B, Stornello, Mc, Stracka, G, Strada, S, Stranieri, G, Stucci, N, Stufano, N, Suppa, A, Susca, Vg, Sutti, M, Taddei, M, Tagliabue, E, Tagliente, G, Talato, F, Talerico, P, Talia, R, Taranto, R, Tartaglia, M, Tauro, N, Tedesco, A, Tieri, P, Tirelli, M, Tocci, L, Todesco, P, Tognolo, M, Tomba, A, Tonello, P, Tonon, R, Toscano, L, Tosi, A, Tosi, G, Toso, S, Travaglio, P, Tremul, L, Tresso, C, Triacchini, P, Triggiano, L, Trigilio, A, Trimeloni, J, Tripicchio, G, Tritto, Gs, Trono, F, Trotta, E, Trotta, G, Tubertini, A, Turri, C, Turri, L, Tuttolani, Mp, Urago, M, Ursini, G, Valcanover, F, Valente, L, Valenti, M, Valentini, F, Vallone, G, Valz, P, Valzano, L, Vanin, V, Vatteroni, M, Vegetti, L, Vendrame, D, Veramonti, I, Veronelli, G, Vesco, A, Vicariotto, G, Vignale, G, Villa, Pl, Vinciguerra, R, Visco, A, Visentin, G, Visonà, E, Vitali, E, Vitali, S, Vitti, F, Volpone, Da, Zambon, N, Zammarrelli, A, Zanaboni, A, Zane, D, Zanetti, B, Zanibellato, R, Zappetti, M, Zappone, P, Zerilli, G, Zirino, V, Zoccali, R, Zuin, F, Altomonte, M, Anelli, N, Angiò, F, Annale, P, Antonacci, S, Anzilotta, R, Bano, F, Basadonna, O, Beduschi, L, Becagli, P, Bellotti, G, Blotta, C, Bruno, G, Cappuccini, A, Caramatti, S, Cariolato, Mp, Castellana, M, Castellani, L, Catania, R, Chielli, A, Chinellato, A, Ciaccia, A, Clerici, E, Cocci, A, Costanzo, G, D'Ercole, F, De Stefano, G, Decè, F, Di Cicco, N, Di Marco, A, Donati Sarti, C, Draghi, E, Dusi, G, Esposito, V, Ferraro, L, Ferretti, A, Ferri, E, Foggetti, L, Foglia, A, Fonzi, E, Frau, G, Fuoco, Mr, Furci, G, Gallo, L, Garra, V, Giannini, A, Gris, A, Iacovino, R, Interrigi, R, Joppi, R, Laner, B, La Fortezza, G, La Padula, A, Lista, Mr, Lupi, G, Maffei, D, Maggioni, G, Magnani, L, Marrazzo, E, Marcon, L, Marinò, V, Maroni, A, Martinelli, C, Mastandrea, E, Mastropierro, F, Meo, At, Mero, P, Minesso, E, Moschetta, V, Mosele, E, Nanni, C, Negretti, A, Nisticò, C, Orsini, A, Osti, M, Pacilli, Mc, Pennestre, C, Picerno, G, Piol, K, Pivano, L, Pizzuti, E, Poggi, L, Poidomani, I, Pozzetto, M, Presti, Ml, Ravani, R, Recalenda, V, Romagnuolo, F, Rossignoli, S, Rossin, E, Sabatella, C, Sacco, F, Sanità, F, Sansone, E, Servadei, F, Sisto, Mt, Sorio, A, Sorrentino, A, Spinelli, E, Spolaor, A, Squillacioti, A, Stella, P, Talerico, A, Todisco, C, Vadino, M, and Zuliani, C.

Subjects
Male, medicine.medical_specialty, General Practice, Kaplan-Meier Estimate, Placebo, Double-Blind Method, Risk Factors, Internal medicine, Fatty Acids, Omega-3, Clinical endpoint, medicine, Humans, Myocardial infarction, Treatment Failure, Aged, Proportional Hazards Models, chemistry.chemical_classification, Omega-3, business.industry, Proportional hazards model, Medicine (all), Hazard ratio, Fatty Acids, General Medicine, Middle Aged, medicine.disease, Hospitalization, Primary Prevention, chemistry, Cardiovascular Diseases, Heart failure, Cohort, Female, business, Polyunsaturated fatty acid
Abstract

Background Trials have shown a beneficial effect of n-3 polyunsaturated fatty acids in patients with a previous myocardial infarction or heart failure. We evaluated the potential benefit of such therapy in patients with multiple cardiovascular risk factors or atherosclerotic vascular disease who had not had a myocardial infarction. Methods In this double-blind, placebo-controlled clinical trial, we enrolled a cohort of patients who were followed by a network of 860 general practitioners in Italy. Eligible patients were men and women with multiple cardiovascular risk factors or atherosclerotic vascular disease but not myocardial infarction. Patients were randomly assigned to n-3 fatty acids (1 g daily) or placebo (olive oil). The initially specified primary end point was the cumulative rate of death, nonfatal myocardial infarction, and nonfatal stroke. At 1 year, after the event rate was found to be lower than anticipated, the primary end point was revised as time to death from cardiovascular causes or admission to the hospital for cardiovascular causes. Results Of the 12,513 patients enrolled, 6244 were randomly assigned to n-3 fatty acids and 6269 to placebo. With a median of 5 years of follow-up, the primary end point occurred in 1478 of 12,505 patients included in the analysis (11.8%), of whom 733 of 6239 (11.7%) had received n-3 fatty acids and 745 of 6266 (11.9%) had received placebo (adjusted hazard ratio with n-3 fatty acids, 0.97; 95% confidence interval, 0.88 to 1.08; P=0.58). The same null results were observed for all the secondary end points. Conclusions In a large general-practice cohort of patients with multiple cardiovascular risk factors, daily treatment with n-3 fatty acids did not reduce cardiovascular mortality and morbidity. (Funded by Societa Prodotti Antibiotici and others; ClinicalTrials.gov number, NCT00317707.).

Published
2013

13. Le site d'étude à long terme de Fontblanche

Author

Simioni, G., Huc, R., and Service irevues, irevues

Subjects
CHANGEMENT CLIMATIQUE, RECHERCHE FORESTIERE, BOUCHES DU RHONE (13), PINUS HALEPENSIS (Pin d'Alep ou Pin blanc), [SDV.SA.SF] Life Sciences [q-bio]/Agricultural sciences/Silviculture, forestry, QUERCUS ILEX (Chêne vert)
Abstract

Le site expérimental de Fontblanche est l'un des trois sites d'expérimentation de la région méditerranéenne française, avec celui de Puéchabon dans l'Hérault et celui de Haute-Provence. Il suit l'évolution d'une forêt mélangée à pins d'Alep et à chênes verts soumise au changement climatique et complète ainsi les deux autres sites qui étudient les écosystèmes à chênaie verte (Puéchabon) et à chênaie blanche (O3HP).

Published
2011

15. Forêts et changement climatique

Author

Courbet, François, Doussan, Claude, Limousin, Jean-Marc, Martin-StPaul, Nicolas, and Simioni, Guillaume

Subjects
tree, biology, climate, water, forest, modelling, plant production, drought, soil, bic Book Industry Communication::R Earth sciences, geography, environment, planning::RG Geography::RGB Physical geography & topography::RGBL Forests, rainforests
Abstract

Among the observed climate changes, the increase in the frequency and intensity of droughts is at the heart of foresters' concerns. The speed and extent of these changes, the long life span of trees, and the impossibility of irrigation are all constraints that make it difficult to meet the challenge of forest adaptation. Although there are many causes, lack of water often plays a central role in the deterioration of tree health. How does a tree function with water? How does it react to drought? What are the means to assess its sensitivity to drought? What is a functioning model and what purpose does it serve? This book answers these questions. To facilitate dialogue between ecophysiological researchers and users of research results, it also presents indicators of the effects of drought on trees and functioning models, with a description of each model developed and used by researchers in France. Above all pedagogical and abundantly illustrated, this summary provides us with all the knowledge we need to understand, observe and anticipate the effects of climate change on forests. It is an indispensable tool for students, teachers, foresters, researchers, development and public policy actors, etc.

Published
2022
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16. UN INSOLITO DIFETTO DEL CAVIALE SALATO

Author

Alberghini, Leonardo, Giaccone, Valerio, Simioni, G., Antonetti, P., Ferioli, M., Bissacco, E., and MIOTTI SCAPIN, Riccardo

Published
2006

18. Response of grass dry-matter- and nitrogen- yields to clipping in an Affrican savanna : an experimental test of the herbivory optimization hypothesis

Author

Leriche , H., Le Roux , Xavier, Desnoyers , F., Benest , D., Simioni , G., Abbadie , Luc, Laboratoire d'Ecologie Microbienne - UMR 5557 (LEM), Institut National de la Recherche Agronomique (INRA)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Ecole Nationale Vétérinaire de Lyon (ENVL), Biogéochimie et écologie des milieux continentaux (Bioemco), Centre National de la Recherche Scientifique (CNRS)-AgroParisTech-Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Recherche Agronomique (INRA)-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)-Ecole Nationale Vétérinaire de Lyon (ENVL)-Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique (INRA)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS), Université de Lyon-Université de Lyon-Ecole Nationale Vétérinaire de Lyon (ENVL)-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-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)-Institut de Recherche pour le Développement (IRD)-Institut National de la Recherche Agronomique (INRA)-Université Pierre et Marie Curie - Paris 6 (UPMC)-AgroParisTech-Centre National de la Recherche Scientifique (CNRS), Ecologie microbienne ( EM ), Centre National de la Recherche Scientifique ( CNRS ) -Ecole Nationale Vétérinaire de Lyon ( ENVL ) -Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Institut National de la Recherche Agronomique ( INRA ) -VetAgro Sup ( VAS ), Biogéochimie et écologie des milieux continentaux ( Bioemco ), and École normale supérieure - Paris ( ENS Paris ) -Institut National de la Recherche Agronomique ( INRA ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -AgroParisTech-Université Paris-Est Créteil Val-de-Marne - Paris 12 ( UPEC UP12 ) -Centre National de la Recherche Scientifique ( CNRS )

Subjects
[SDV.EE]Life Sciences [q-bio]/Ecology, environment, [ SDV.EE ] Life Sciences [q-bio]/Ecology, environment
Published
2003

19. Changing scale in ecological modelling: A bottom up approach with an individual based vegetation model

Author

Boulain, N, Simioni, G, Gignoux, J, Boulain, N, Simioni, G, and Gignoux, J

Abstract

Net primary production (NPP) depends crucially on the sun radiation absorption, and hence its prediction on the modelling of the radiation. In heterogeneous systems such as savannas, the photosynthetically active radiation (PAR) absorption is more difficult to predict than in homogeneous systems, due to the presence of tree clumps and open grass areas. Using a detailed 3D model, we propose new formulations of PAR absorption derived from the Beer-Lambert law for heterogeneous vegetation. To account for intra-plot vegetation heterogeneity we assume an intra-plot partition of space into two or three zones, based on tree location. We develop two models derived model from the Beer-Lambert law: (1) a simple partition of space below and outside trees, (2) a partition in three zones, including the tree shading area. The only model to predict PAR interception for all types of spatial patterns was the most complex one (including tree + tree shading zone + open grass areas). In this model, extinction coefficients can be derived from vegetation structural parameters like tree cover, and tree shading area. Tree shading area could be computed from geometric site parameters (latitude, longitude, tree height). With increasing satellite resolution it can be possible to obtain these structural parameters of vegetation (cover, overlap, tree height) needed by this Beer-Lambert derived model. Such an absorption model could then be used as a basis for a Monteith-style model of vegetation functioning for heterogeneous vegetation. © 2006 Elsevier B.V. All rights reserved.

Published
2007

24. Oxidative stress: role of physical exercise and antioxidant nutraceuticals in adulthood and aging

Author

Luca M. Neri, Arianna Gonelli, Carolina Simioni, Alberto M. Martelli, Gianni Sacchetti, Marco Vitale, Giorgio Zauli, and C. Simioni, G. Zauli, A.M. Martelli, M. Vitale, G. Sacchetti, A. Gonelli, L.M. Neri.

Subjects
0301 basic medicine, Antioxidant, medicine.medical_treatment, Physical exercise, Inflammation, Review, Resveratrol, Bioinformatics, medicine.disease_cause, flavonoids intake, NO, 03 medical and health sciences, chemistry.chemical_compound, Nutraceutical, Medicine, nutraceuticals, Muscle fatigue, business.industry, aging, medicine.disease, 030104 developmental biology, Oncology, chemistry, Sarcopenia, exercise training, nutraceuticals, flavonoids intake, aging, antioxidant supplementation, antioxidant supplementation, medicine.symptom, business, exercise training, Oxidative stress
Abstract

Physical exercise is considered to be one of the beneficial factors of a proper lifestyle and is nowadays seen as an indispensable element for good health, able to lower the risk of disorders of the cardiovascular, endocrine and osteomuscular apparatus, immune system diseases and the onset of potential neoplasms. A moderate and programmed physical exercise has often been reported to be therapeutic both in the adulthood and in aging, since capable to promote fitness. Regular exercise alleviates the negative effects caused by free radicals and offers many health benefits, including reduced risk of all-cause mortality, sarcopenia in the skeletal muscle, chronic disease, and premature death in elderly people. However, physical performance is also known to induce oxidative stress, inflammation, and muscle fatigue. Many efforts have been carried out to identify micronutrients and natural compounds, also known as nutraceuticals, able to prevent or attenuate the exercise-induced oxidative stress and inflammation. The aim of this review is to discuss the benefits deriving from a constant physical activity and by the intake of antioxidant compounds to protect the body from oxidative stress. The attention will be focused mainly on three natural antioxidants, which are quercetin, resveratrol and curcumin. Their properties and activity will be described, as well as their benefits on physical activity and on aging, which is expected to increase through the years and can get favorable benefits from a constant exercise activity.

Published
2018

25. Physical training interventions for children and teenagers affected by acute lymphoblastic leukemia and related treatment impairments

Author

Luca M. Neri, Marco Vitale, Alberto M. Martelli, Giorgio Zauli, Simona Ultimo, Carolina Simioni, Daniela Milani, and C. Simioni, G. Zauli, A.M. Martelli, M. Vitale, S. Ultimo, D. Milani, L.M. Neri.

Subjects
medicine.medical_specialty, Physical fitness, Psychological intervention, Physical exercise, physical assessment test, Disease, Review, cancer treatment, NO, 03 medical and health sciences, 0302 clinical medicine, acute lymphoblastic leukemia (ALL), Quality of life, physical exercise, medicine, 030212 general & internal medicine, Young adult, childhood, business.industry, Cancer, physical assessment tests, medicine.disease, Obesity, acute lymphoblastic leukemia (ALL), cancer treatments, childhood, physical assessment tests, physical exercise, Oncology, 030220 oncology & carcinogenesis, Physical therapy, cancer treatments, business
Abstract

A decreased physical fitness has been reported in patients and survivors of acute lymphoblastic leukemia (ALL). This is influenced by the negative effects of the disease and by the treatments of childhood cancer. In the past, children were advised to recover in bed, and to take as much relax as possible. Nowadays, it is considered that too much immobility may result in a further decrease of physical fitness and functioning. Exercise training for ALL children has frequently been reported to improve physical fitness and the well-being of the children, since it prevents the negative effects of a sedentary life-style, such as obesity and a poor skeletal health. In recent years, different studies and protocols on this subject has become available for children and young adults with cancer, both during and after treatment. The efficacy of recent physical exercise training interventions, that act on several ALL impairments in children such as skeletal, musculoskeletal, neuromuscular, cardiopulmonary and cardiovascular systems, fatigue, body balance disorders and metabolism alterations have been examined. These side effects might be prevented or significantly reduced by introducing a physical exercise program during or shortly after cancer treatment. Several interventions are discussed and presented for each impairment, reducing their level caused by the disease and thus suggesting the importance of physical training activity in ameliorating the children quality of life.

Published
2018

26. Hydraulic plasticity and water use regulation act to maintain the hydraulic safety margins of Mediterranean trees in rainfall exclusion experiments.

Author

Moreno M, Limousin JM, Simioni G, Badel E, Rodríguez-Calcerrada J, Cochard H, Torres-Ruiz JM, Dupuy JL, Ruffault J, Ormeno E, Delzon S, Fernandez C, Ourcival JM, and Martin-StPaul N

Subjects
Droughts, Mediterranean Region, Plant Transpiration physiology, Plant Leaves physiology, Quercus physiology, Water physiology, Water metabolism, Trees physiology, Pinus physiology, Rain, Xylem physiology
Abstract

Hydraulic failure due to xylem embolism has been identified as one of the main mechanisms involved in drought-induced forest decline. Trees vulnerability to hydraulic failure depends on their hydraulic safety margin (HSM). While it has been shown that HSM globally converges between tree species and biomes, there is still limited knowledge regarding how HSM can adjust locally to varying drought conditions within species. In this study, we relied on three long-term partial rainfall exclusion experiments to investigate the plasticity of hydraulic traits and HSM for three Mediterranean tree species (Quercus ilex L., Quercus pubescens Willd., and Pinus halepensis Mill.). For all species, a homeostasis of HSM in response to rainfall reduction was found, achieved through different mechanisms. For Q. ilex, the convergence in HSM is attributed to the adjustment of both the turgor loss point (Ψtlp) and the water potential at which 50% of xylem conductivity is lost due to embolism (P50). In contrast, the maintenance of HSM for P. halepensis and Q. pubescens is related to its isohydric behavior for the first and leaf area adjustment for the latter. It remains to be seen whether this HSM homeostasis can be generalized and if it will be sufficient to withstand extreme droughts expected in the Mediterranean region., (© 2024 John Wiley & Sons Ltd.)

Published
2024
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27. Tree drought-mortality risk depends more on intrinsic species resistance than on stand species diversity.

Author

Decarsin R, Guillemot J, le Maire G, Blondeel H, Meredieu C, Achard E, Bonal D, Cochard H, Corso D, Delzon S, Doucet Z, Druel A, Grossiord C, Torres-Ruiz JM, Bauhus J, Godbold DL, Hajek P, Jactel H, Jensen J, Mereu S, Ponette Q, Rewald B, Ruffault J, Sandén H, Scherer-Lorenzen M, Serrano-León H, Simioni G, Verheyen K, Werner R, and Martin-StPaul N

Subjects
Europe, Climate Change, Xylem physiology, Droughts, Biodiversity, Trees physiology, Forests
Abstract

Increasing tree diversity is considered a key management option to adapt forests to climate change. However, the effect of species diversity on a forest's ability to cope with extreme drought remains elusive. In this study, we assessed drought tolerance (xylem vulnerability to cavitation) and water stress (water potential), and combined them into a metric of drought-mortality risk (hydraulic safety margin) during extreme 2021 or 2022 summer droughts in five European tree diversity experiments encompassing different biomes. Overall, we found that drought-mortality risk was primarily driven by species identity (56.7% of the total variability), while tree diversity had a much lower effect (8% of the total variability). This result remained valid at the local scale (i.e within experiment) and across the studied European biomes. Tree diversity effect on drought-mortality risk was mediated by changes in water stress intensity, not by changes in xylem vulnerability to cavitation. Significant diversity effects were observed in all experiments, but those effects often varied from positive to negative across mixtures for a given species. Indeed, we found that the composition of the mixtures (i.e., the identities of the species mixed), but not the species richness of the mixture per se, is a driver of tree drought-mortality risk. This calls for a better understanding of the underlying mechanisms before tree diversity can be considered an operational adaption tool to extreme drought. Forest diversification should be considered jointly with management strategies focussed on favouring drought-tolerant species., (© 2024 John Wiley & Sons Ltd.)

Published
2024
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28. Isohydricity and hydraulic isolation explain reduced hydraulic failure risk in an experimental tree species mixture.

Author

Moreno M, Simioni G, Cochard H, Doussan C, Guillemot J, Decarsin R, Fernandez-Conradi P, Dupuy JL, Trueba S, Pimont F, Ruffault J, Jean F, Marloie O, and Martin-StPaul NK

Subjects
Plant Roots physiology, Plant Leaves physiology, Plant Transpiration physiology, Models, Biological, Species Specificity, Dehydration, Quercus physiology, Pinus physiology, Water metabolism, Trees physiology, Droughts, Plant Stomata physiology, Soil chemistry
Abstract

Species mixture is promoted as a crucial management option to adapt forests to climate change. However, there is little consensus on how tree diversity affects tree water stress, and the underlying mechanisms remain elusive. By using a greenhouse experiment and a soil-plant-atmosphere hydraulic model, we explored whether and why mixing the isohydric Aleppo pine (Pinus halepensis, drought avoidant) and the anisohydric holm oak (Quercus ilex, drought tolerant) affects tree water stress during extreme drought. Our experiment showed that the intimate mixture strongly alleviated Q. ilex water stress while it marginally impacted P. halepensis water stress. Three mechanistic explanations for this pattern are supported by our modeling analysis. First, the difference in stomatal regulation between species allowed Q. ilex trees to benefit from additional soil water in mixture, thereby maintaining higher water potentials and sustaining gas exchange. By contrast, P. halepensis exhibited earlier water stress and stomatal regulation. Second, P. halepensis trees showed stable water potential during drought, although soil water potential strongly decreased, even when grown in a mixture. Model simulations suggested that hydraulic isolation of the root from the soil associated with decreased leaf cuticular conductance was a plausible explanation for this pattern. Third, the higher predawn water potentials for a given soil water potential observed for Q. ilex in mixture can-according to model simulations-be explained by increased soil-to-root conductance, resulting from higher fine root length. This study brings insights into the mechanisms involved in improved drought resistance of mixed species forests., Competing Interests: Conflict of interest statement. None declared., (© The Author(s) 2024. Published by Oxford University Press on behalf of American Society of Plant Biologists.)

Published
2024
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29. Letter to the editor regarding "Associations between paraspinal muscle characteristics and spinal curvature in conservatively treated adolescent idiopathic scoliosis: a systematic review" by Chan et al.

Author

Coraci D, Maccarone MC, Simioni G, Ragazzo L, and Masiero S

Subjects
Humans, Adolescent, Scoliosis therapy, Paraspinal Muscles diagnostic imaging
Abstract

Competing Interests: Declaration of competing interest The authors declared no potential conflicts of interest with respect to the research, authorship, and publication of this article.

Published
2024
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30. Detection and attribution of an anomaly in terrestrial photosynthesis in Europe during the COVID-19 lockdown.

Author

Tang ACI, Flechard CR, Arriga N, Papale D, Stoy PC, Buchmann N, Cuntz M, Douros J, Fares S, Knohl A, Šigut L, Simioni G, Timmermans R, Grünwald T, Ibrom A, Loubet B, Mammarella I, Belelli Marchesini L, Nilsson M, Peichl M, Rebmann C, Schmidt M, Bernhofer C, Berveiller D, Cremonese E, El-Madany TS, Gharun M, Gianelle D, Hörtnagl L, Roland M, Varlagin A, Fu Z, Heinesch B, Janssens I, Kowalska N, Dušek J, Gerosa G, Mölder M, Tuittila ES, and Loustau D

Abstract

Carbon dioxide (CO 2 ) uptake by plant photosynthesis, referred to as gross primary production (GPP) at the ecosystem level, is sensitive to environmental factors, including pollutant exposure, pollutant uptake, and changes in the scattering of solar shortwave irradiance (SW in ) - the energy source for photosynthesis. The 2020 spring lockdown due to COVID-19 resulted in improved air quality and atmospheric transparency, providing a unique opportunity to assess the impact of air pollutants on terrestrial ecosystem functioning. However, detecting these effects can be challenging as GPP is influenced by other meteorological drivers and management practices. Based on data collected from 44 European ecosystem-scale CO 2 flux monitoring stations, we observed significant changes in spring GPP at 34 sites during 2020 compared to 2015-2019. Among these, 14 sites showed an increase in GPP associated with higher SW in , 10 sites had lower GPP linked to atmospheric and soil dryness, and seven sites were subjected to management practices. The remaining three sites exhibited varying dynamics, with one experiencing colder and rainier weather resulting in lower GPP, and two showing higher GPP associated with earlier spring melts. Analysis using the regional atmospheric chemical transport model (LOTOS-EUROS) indicated that the ozone (O 3 ) concentration remained relatively unchanged at the research sites, making it unlikely that O 3 exposure was the dominant factor driving the primary production anomaly. In contrast, SW in increased by 9.4 % at 36 sites, suggesting enhanced GPP possibly due to reduced aerosol optical depth and cloudiness. Our findings indicate that air pollution and cloudiness may weaken the terrestrial carbon sink by up to 16 %. Accurate and continuous ground-based observations are crucial for detecting and attributing subtle changes in terrestrial ecosystem functioning in response to environmental and anthropogenic drivers., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Published
2023
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31. Amplified Drought Alters Leaf Litter Metabolome, Slows Down Litter Decomposition, and Modifies Home Field (Dis)Advantage in Three Mediterranean Forests.

Author

Quer E, Pereira S, Michel T, Santonja M, Gauquelin T, Simioni G, Ourcival JM, Joffre R, Limousin JM, Aupic-Samain A, Lecareux C, Dupouyet S, Orts JP, Bousquet-Mélou A, Gros R, Sagova-Mareckova M, Kopecky J, Fernandez C, and Baldy V

Abstract

In Mediterranean ecosystems, the projected rainfall reduction of up to 30% may alter plant-soil interactions, particularly litter decomposition and Home Field Advantage (HFA). We set up a litter transplant experiment in the three main forests encountered in the northern part of the Medi-terranean Basin (dominated by either Quercus ilex , Quercus pubescens , or Pinus halepensis ) equipped with a rain exclusion device, allowing an increase in drought either throughout the year or concentrated in spring and summer. Senescent leaves and needles were collected under two precipitation treatments (natural and amplified drought plots) at their "home" forest and were left to decompose in the forest of origin and in other forests under both drought conditions. MS-based metabolomic analysis of litter extracts combined with multivariate data analysis enabled us to detect modifications in the composition of litter specialized metabolites, following amplified drought treatment. Amplified drought altered litter quality and metabolomes, directly slowed down litter decomposition, and induced a loss of home field (dis)advantage. No indirect effect mediated by a change in litter quality on decomposition was observed. These results may suggest major alterations of plant-soil interactions in Mediterranean forests under amplified drought conditions.

Published
2022
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32. Drought acclimation of Quercus ilex leaves improves tolerance to moderate drought but not resistance to severe water stress.

Author

Limousin JM, Roussel A, Rodríguez-Calcerrada J, Torres-Ruiz JM, Moreno M, Garcia de Jalon L, Ourcival JM, Simioni G, Cochard H, and Martin-StPaul N

Subjects
Acclimatization, Dehydration, Droughts, Plant Leaves physiology, Trees, Quercus physiology
Abstract

Increasing temperature and drought can result in leaf dehydration and defoliation even in drought-adapted tree species such as the Mediterranean evergreen Quercus ilex L. The stomatal regulation of leaf water potential plays a central role in avoiding this phenomenon and is constrained by a suite of leaf traits including hydraulic conductance and vulnerability, hydraulic capacitance, minimum conductance to water vapour, osmotic potential and cell wall elasticity. We investigated whether the plasticity in these traits may improve leaf tolerance to drought in two long-term rainfall exclusion experiments in Mediterranean forests. Osmotic adjustment was observed to lower the water potential at turgor loss in the rainfall-exclusion treatments, thus suggesting a stomatal closure at more negative water potentials and a more anisohydric behaviour in drier conditions. Conversely, leaf hydraulic conductance and vulnerability did not exhibit any plasticity between treatments so the hydraulic safety margins were narrower in the rainfall-exclusion treatments. The sequence of leaf responses to seasonal drought and dehydration was conserved among treatments and sites but trees were more likely to suffer losses of turgor and hydraulic functioning in the rainfall-exclusion treatments. We conclude that leaf plasticity might help the trees to tolerate moderate drought but not to resist severe water stress., (© 2022 John Wiley & Sons Ltd.)

Published
2022
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33. Tree xylem water isotope analysis by Isotope Ratio Mass Spectrometry and laser spectrometry: A dataset to explore tree response to drought.

Author

Carrière SD, Martin-StPaul NK, Cakpo CB, Patris N, Gillon M, Chalikakis K, Doussan C, Olioso A, Babic M, Jouineau A, Simioni G, and Davi H

Abstract

Water isotopes from plant xylem and surrounding environment are increasingly used in eco-hydrological studies. Carrière et al. [1] analyzed a dataset of water isotopes in (i) the xylem of three different tree species, (ii) the surrounding soil and drainage water and (iii) the underlying karst groundwater, to understand tree water uptake during drought in two different Mediterranean forests on karst setting. The xylem and soil water were extracted by cryogenic distillation. The full dataset was obtained with Isotope Ratio Mass Spectrometry (IRMS) and Isotope Ratio Infrared Spectrometer (IRIS), and included 219 measurements of δ 2 H and δ 18 O. Prompted by unexpected isotopic data characterized by a very negative deuterium excess, a subsample of 46 xylem samples and 9 soil water samples were double checked with both analytical techniques. IRMS and IRIS analyses yielded similar data. Therefore, the results reveal that laser spectrometry allows an accurate estimation of xylem and soil water isotopes. The dataset highlights a strong 2 H depletion in xylem water for all species. Deuterium does not seem adequate to interpret ecological processes in this dataset given the strong fractionation., (© 2020 The Author(s).)

Published
2020
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34. The role of deep vadose zone water in tree transpiration during drought periods in karst settings - Insights from isotopic tracing and leaf water potential.

Author

Carrière SD, Martin-StPaul NK, Cakpo CB, Patris N, Gillon M, Chalikakis K, Doussan C, Olioso A, Babic M, Jouineau A, Simioni G, and Davi H

Subjects
Droughts, Forests, Plant Leaves, Seasons, Soil, Water, Xylem, Fagus physiology, Quercus physiology
Abstract

Karst environments are unusual because their dry, stony and shallow soils seem to be unfavorable to vegetation, and yet they are often covered with forests. How can trees survive in these environments? Where do they find the water that allows them to survive? This study uses midday and predawn water potentials and xylem water isotopes of branches to assess tree water status and the origin of transpired water. Monitoring was conducted during the summers of 2014 and 2015 in two dissimilar plots of Mediterranean forest located in karst environments. The results show that the three monitored tree species (Abies alba Mill, Fagus sylvatica L, and Quercus ilex L.) use deep water resources present in the karst vadose zone (unsaturated zone) more intensively during drier years. Quercus ilex, a species well- adapted to water stress, which grows at the drier site, uses the deep water resource very early in the summer season. Conversely, the two other species exploit the deep water resource only during severe drought. These results open up new perspectives to a better understanding of ecohydrological equilibrium and to improved water balance modeling in karst forest settings., (Copyright © 2019 Elsevier B.V. All rights reserved.)

Published
2020
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35. Looking for Local Adaptation: Convergent Microevolution in Aleppo Pine ( Pinus halepensis ).

Author

Ruiz Daniels R, Taylor RS, González-Martínez SC, Vendramin GG, Fady B, Oddou-Muratorio S, Piotti A, Simioni G, Grivet D, and Beaumont MA

Subjects
Altitude, Pinus physiology, Selection, Genetic, Acclimatization, Evolution, Molecular, Pinus genetics, Polymorphism, Single Nucleotide
Abstract

Finding outlier loci underlying local adaptation is challenging and is best approached by suitable sampling design and rigorous method selection. In this study, we aimed to detect outlier loci (single nucleotide polymorphisms, SNPs) at the local scale by using Aleppo pine ( Pinus halepensis ), a drought resistant conifer that has colonized many habitats in the Mediterranean Basin, as the model species. We used a nested sampling approach that considered replicated altitudinal gradients for three contrasting sites. We genotyped samples at 294 SNPs located in genomic regions selected to maximize outlier detection. We then applied three different statistical methodologies-Two Bayesian outlier methods and one latent factor principal component method-To identify outlier loci. No SNP was an outlier for all three methods, while eight SNPs were detected by at least two methods and 17 were detected only by one method. From the intersection of outlier SNPs, only one presented an allelic frequency pattern associated with the elevational gradient across the three sites. In a context of multiple populations under similar selective pressures, our results underline the need for careful examination of outliers detected in genomic scans before considering them as candidates for convergent adaptation.

Published
2019
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36. Allocation strategies of savanna and forest tree seedlings in response to fire and shading: outcomes of a field experiment.

Author

Gignoux J, Konaté S, Lahoreau G, Le Roux X, and Simioni G

Abstract

The forest-savanna ecotone may be very sharp in fire-prone areas. Fire and competition for light play key roles in its maintenance, as forest and savanna tree seedlings are quickly excluded from the other ecosystem. We hypothesized a tradeoff between seedling traits linked to fire resistance and to competition for light to explain these exclusions. We compared growth- and survival-related traits of two savanna and two forest species in response to shading and fire in a field experiment. To interpret the results, we decomposed our broad hypothesis into elementary tradeoffs linked to three constraints, biomass allocation, plant architecture, and shade tolerance, that characterize both savanna and adjacent forest ecosystems. All seedlings reached similar biomasses, but forest seedlings grew taller. Savanna seedlings better survived fire after topkill and required ten times less biomass than forest seedlings to survive. Finally, only savanna seedlings responded to shading. Although results were consistent with the classification of our species as mostly adapted to shade tolerance, competition for light in the open, and fire tolerance, they raised new questions: how could savanna seedlings survive better with a 10-times lower biomass than forest seedlings? Is their shade intolerance sufficient to exclude them from forest understory?

Published
2016
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37. On the importance of including soil nutrient feedback effects for predicting ecosystem carbon exchange.

Author

Kirschbaum MUF, Simioni G, Medlyn BE, and McMurtrie RE

Abstract

To grow, plants need both carbon, which is fixed in photosynthesis, and inorganic nutrients, which are generally obtained from the soil. Much interest currently exists in trying to understand the uptake and storage of carbon by terrestrial ecosystems. This paper investigates to what extent carbon gain and storage are modified by soil nutrient availability. This issue is investigated in relation to both short-term carbon fluxes on the time scale of interannual variability and long-term ecosystem carbon stocks on time scales of several thousand years.We conclude from simulations with an ecosystem model (CenW) that interannual variations in carbon gain can be significantly affected by feedback effects through the nutrient cycle. This feedback effect operates principally through an imbalance between carbon and nutrient dynamics. In years that allow high carbon gain, nutrient supply typically does not match the increased carbon supply so that foliar nutrient concentrations are reduced. This lowers productivity below that which could be expected if foliar nutrient concentration remained the same. The importance of these feedback effects is shown to be greatest at intermediate levels of water availability and nutrient supply, and is relatively more important for net ecosystem carbon exchange than for net primary production.We conclude that the long-term build-up of carbon stocks in ecosystems is often controlled by the rate at which nutrients can be gained. This conclusion is based on data from published studies showing that the slow build-up of carbon matches the gain in nitrogen, phosphorus and sulfur, and on our simulations of system carbon stocks in response to fertiliser addition.The paper concludes with a discussion of the importance and feasibility of including these processes into models at different scales, including the broad continental scale. For modelling net ecosystem exchange for Australia, it is regarded as feasible and desirable to use models that are constrained by these system-internal feedback effects. Such models have already been used for large-scale simulations in Australia and other countries.

Published
2003
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38. [Health demands in adolescence. The results of 2 epidemiological studies in the Padua area in 1990-1992].

Author

Zanon A, Formentin PA, Omizzolo G, Simioni G, Zorzato P, Anello G, Cafà C, D'Amato G, Fabris F, and Fassina R

Subjects
Adolescent, Age Distribution, Ambulatory Care statistics & numerical data, Female, Humans, Italy epidemiology, Male, Morbidity trends, Seasons, Sex Distribution, Adolescent Health Services statistics & numerical data, Health Services Needs and Demand statistics & numerical data, Health Surveys
Abstract

Unlabelled: In order to make a detailed analysis of the specific requirements of adolescent health in this country, local health unit n. 19 in Padua performed an epidemiological survey with the collaboration of 15 general physicians who were asked to record all ambulatory visits by 13-24 year olds on a special form. The survey, which lasted two years, revealed that of a total of 4748 records, 2112 (44.48%) were male and 2636 (55.51%) were female. The age at which the greatest number of visits was recorded was 18. The majority of adolescents attended alone (68.48%) and this pattern tended to increase with age. The frequency of annual attendance was 86.64%. In order of frequency, diagnoses included: requests for certificates and prescriptions (21.76%); respiratory disease and influenza (21.61%); obstetric and gynecological problems (8.61% of the total and 15.52% of female attendance) which together with auxoendocrinological problems amounted to a frequency of 10.55%; psychological problems (6.53%); dermatological diseases (6.324%); problems involving the osteomuscular structure, problem of the digestive tract (4.93%); nervous disorders and diseases of the sense organs (4.87%); medication and requests for information (3.60%); nephro-uro-andrological problems (3.26%)., In Conclusion: the high rate of attendance at medical clinics does not show that adolescents are an often ill population but that the doctor has been selected as the prime interlocutor for all health-related problems. It should also be pointed out that the majority of problems tend to be reported as somatic, whereas only a minimum part (6.53%) are classified as psychological. This analysis confirms, however, that the health requirements presented as somatic often involve a psychological component.

Published
1994

39. Cisplatin plus vindesine versus cisplatin plus VP16 versus doxorubicin plus cytoxan in non-small-cell carcinoma of the lung. A randomized study.

Author

Paccagnella A, Brandes A, Pappagallo GL, Simioni G, Fosser VP, Vinante O, Salvagno L, De Besi P, Chiarion Sileni V, and Fornasiero A

Subjects
Adult, Aged, Antineoplastic Combined Chemotherapy Protocols adverse effects, Carcinoma, Non-Small-Cell Lung mortality, Cisplatin administration & dosage, Clinical Trials as Topic, Cyclophosphamide administration & dosage, Doxorubicin administration & dosage, Humans, Lung Neoplasms mortality, Middle Aged, Podophyllotoxin administration & dosage, Random Allocation, Vindesine administration & dosage, Antineoplastic Combined Chemotherapy Protocols therapeutic use, Carcinoma, Non-Small-Cell Lung drug therapy, Lung Neoplasms drug therapy
Abstract

From March 1981 to January 1984, 116 patients with advanced non-small-cell carcinoma of the lung (NSCCL) were randomly assigned to 3 combinations as follows: CDDP + DVA, CDDP + VP16 and DXR + CTX. 94 patients were evaluable for response, 106 for toxicity and survival. Of 31 patients, 15 (48%; 3 CRs and 12 PRs) responded to CDDP + DVA; of 33 patients, 12 (36%, 2 CRs and 10 PRs) responded to CDDP + VP16; of 30 patients, 3 (10%) obtained a PR with DXR + CTX (CDDP + DVA vs DXR + CTX, P less than 0.005; CDDP + VP16 vs DXR + CTX, P less than 0.05; CDDP + DVA vs CDDP + VP16, P = NS). The median duration of response was 22 weeks in the CDDP-DVA group, 17 weeks in the CDDP-VP16 group, and 16 weeks in the DXR + CTX group. No significant difference in survival was observed among the 3 groups (median: 43, 47, 41 weeks, respectively). Hematologic and neurologic toxicities were significantly higher in the DVA-containing regimen. Despite the lack of improvement of overall survival with the CDDP-containing combinations over the DXR + CTX control group, the good response rate makes them suitable to be used in combined therapeutic strategies.

Published
1986
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