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18 results on '"Institute for World Forestry"'

1. Revision of the Gothenburg protocol : use of new and old effect indicators for atmospheric pollution [A WGE analysis of the achievements, potential benefits and damages on health, materials and the environment of Gothenburg Protocol scenarios]

Author

Le Gall, Anne-Christine, Doytchinov, S., Fischer, R., Forsius, M., Harmens, H., Hettelingh, Jean-Paul, Jenkins, A., Krzyzanowski, Michal, Kvaeven, B., Lorenz, M., Lundin, L., Mills, G.E., Moldan, F., Posh, M., Skjelkvale, B.L., Tidblad, J., Wright, R.F., Civs, Gestionnaire, Institut National de l'Environnement Industriel et des Risques (INERIS), Italian National agency for new technologies, Energy and sustainable economic development, Institute for World Forestry, Johann Heinrich von Thünen Institute, Finnish Environment Institute (SYKE), Centre for Ecology and Hydrology, Natural Environment Research Council (NERC), Coordination Centre for Effects, National Institute for Public Health and the Environment [Bilthoven] (RIVM), European Centre for Environment and Health, Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Climate and Pollution Agency, Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences (SLU), Swedish Environmental Research Institute Ltd., Norwegian Institute for Water Research (NIVA), and Swerea KIMAB

Subjects
INDICATORS, [SDE] Environmental Sciences, EMISSION SCENARIO, SULPHUR, ATMOSPHERE, NITROGEN, PARTICULATE MATTER, EUTROPHICATION, [SDE]Environmental Sciences, ECOSYSTEMS, POLLUTION ATMOSPHERIQUE, TRANSPORT DES POLLUANTS SUR LES LONGUES DISTANCES, CHARGES CRITIQUES---ACIDIFICATION, ACIDIFICATION
Published
2011

2. Implications des caractéristiques des taillis sur la fonction de protection contre les chutes de pierres

Author

Michael Köhl, Luuk Dorren, Frédéric Berger, Marc Fuhr, Oliver Jancke, Ecosystèmes montagnards (UR EMGR), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), FOEN FEDERAL OFFICE ENVIRONMENT BERNE CHE, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), VTI INSTITUTE OF WORLD FORESTRY HAMBURG DEU, and Irstea Publications, Migration

Subjects
[SDE] Environmental Sciences, 021110 strategic, defence & security studies, geography, geography.geographical_feature_category, 010504 meteorology & atmospheric sciences, Ecology, Spatial structure, Simulation modeling, 0211 other engineering and technologies, Forestry, 02 engineering and technology, Function (mathematics), 15. Life on land, Management, Monitoring, Policy and Law, 01 natural sciences, Basal area, Coppicing, Rockfall, Forest ecology, [SDE]Environmental Sciences, Environmental science, 0105 earth and related environmental sciences, Nature and Landscape Conservation
Abstract

International audience; Coppice forest stands can play a key protective role on active rockfall slopes in mountainous regions. This paper aims at quantifying their protection function and at explaining the role of different stand parameters in this function. To achieve these objectives we first made field inventories focussing on the dendrometric and spatial characteristics of 13 coppice stands. Then, we developed a 2D simulation model, called RockCop, to quantify their protective function against rockfall. The simulations show that the predominant size of the falling rocks conditions which of the dendrometric stand parameters mainly determine the protective function of a coppice stand. In the case of small rocks (20 cmØ), we conclude that a higher stand density improves the protective function. Thus, for those rocks, young stands are most adequate. An acceptable level of protection against medium sized rocks (50 cmØ) is only fulfilled by few coppice stands and determined by specific combinations of stand density, stem diameters, basal area and species composition. None of the investigated stands offer sufficient protection against large rocks (1 mØ).

Published
2009

3. Spatial Influence of Conservation Sites (Natura 2000) on Land Cover Changes

Author

Mücher, C., Gerard, F., Olschofsky, K., Hazeu, G., Luque, Sandra, Pino, J., Gregor, M., Wachowicz, M., Halada, L., Tompo, E., Köhler, R., Petit, S., Smith, Grace, Kolar, J., Irstea Publications, Migration, WANINGEN UNIV ALTERRA NLD, Partenaires IRSTEA, Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)-Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA), Centre for Ecology and Hydrology [Bangor] (CEH), Natural Environment Research Council (NERC), INSTITUTE WORLD FORESTRY HAMBURG DEU, Ecosystèmes montagnards (UR EMGR), Centre national du machinisme agricole, du génie rural, des eaux et forêts (CEMAGREF), CREAF ESP, GIM LUX, ILE SAS SVK, METLA FIN, INSTITUTE FOR WORLD FORESTRY HAMBURG DEU, and GISAT CZE

Subjects
[SDE] Environmental Sciences, [SDE]Environmental Sciences
Abstract

This paper presents the research carried out for the spatial analysis of historic land cover changes in relation to the exact location of Natura2000 sites within the framework of the BIOPRESS project. The project has been implemented within the EC-FP5 framework to support GMES Global Moni-toring for Environment and Security'. It was the only GMES project realized under the priority theme "Land cover change in Europe. The BIOPRESS consortium consisted of eight international partners and aimed to provide the EU-user community with quantitative information on how changes in land cover and land use have affected the environment and biodiversity in Europe. Our main stakeholder was the European Environment Agency, through its Topic Centres on Biological Diversity (ETC-BD) and the Terrestrial Environment (ETC-TE). The project produced consistent and coherent sets of historical (1950 1990 2000) land cover change information in and around ca. 100 Natura-2000 sites located from the boreal to the Mediterranean, and from the Atlantic to the continental zones of Europe (http://www.creaf.uab.es/biopress/). The paper will focus on the discussion of the results obtained from analysing historic land cover changes in relation to the distance to Natura 2000 sites in order to determine the relevance of protecting precarious habitats. Results obtained already for the Netherlands point out that conservation measurements have a significant influence on the location, extent and types of land cover changes (Hazeu & Mücher, 2005).

Published
2006

4. Overview of ASDEX Upgrade results

Author

Kallenbach, A., Aguiam, D., Aho-Mantila, L., Angioni, C., Arden, N., Parra, R. Arredondo, Asunta, O., Baar, M., Balden, M., Behler, K., Bergmann, A., Bernardo, J., Bernert, M., Beurskens, M., Biancalani, A., Bilato, R., Birkenmeier, G., Bobkov, V., Bock, A., Bogomolov, A., Bolzonella, T., Boswirth, B., Bottereau, C., Bottino, A., Brand, H., Brezinsek, S., Brida, D., Brochard, F., Bruhn, C., Buchanan, J., Buhler, A., Burckhart, A., Cambon-Silva, D., Camenen, Y., Carvalho, P., Carrasco, G., Cazzaniga, C., Carr, M., Carralero, D., Casali, L., Castaldo, C., Cavedon, M., Challis, C., Chankin, A., Chapman, I., Clairet, F., Classen, I., Coda, S., Coelho, R., Coenen, J. W., Colas, L., Conway, G., Costea, S., Coster, D. P., Croci, G., Cseh, G., Czarnecka, A., D Arcangelo, O., Day, C., Delogu, R., Marne, P., Denk, S., Denner, P., Dibon, M., D Inca, R., Di Siena, A., Douai, D., Drenik, A., Drube, R., Dunne, M., Duval, B. P., Dux, R., Eich, T., Elgeti, S., Engelhardt, K., Erdos, B., Erofeev, I., Esposito, B., Fable, E., Faitsch, M., Fantz, U., Faugel, H., Felici, F., Fietz, S., Figueredo, A., Fischer, R., Ford, O., Frassinetti, L., Freethy, S., Froschle, M., Fuchert, G., Fuchs, J. C., Funfgelder, H., Galazka, K., Galdon-Quiroga, J., Gallo, A., Gao, Y., Garavaglia, S., Garcia-Munoz, M., Geiger, B., Cianfarani, C., Giannone, L., Giovannozzi, E., Gleason-Gonzalez, C., Gloggler, S., Gobbin, M., Gorler, T., Goodman, T., Gorini, G., Gradic, D., Grater, A., Granucci, G., Greuner, H., Griener, M., Groth, M., Gude, A., Gunter, S., Guimarais, L., Haas, G., Hakola, A. H., Ham, C., Happel, T., Harrison, J., Hatch, D., Hauer, V., Hayward, T., Heinemann, B., Heinzel, S., Hellsten, T., Henderson, S., Hennequin, P., Herrmann, A., Heyn, E., Hitzler, F., Hobirk, J., Holzl, M., Hoschen, T., Holm, J. H., Hopf, C., Hoppe, F., Horvath, L., Houben, A., Huber, A., Igochine, V., Ilkei, T., Ivanova-Stanik, I., Jacob, W., Jacobsen, A. S., Jacquot, J., Janky, F., Jardin, A., Jaulmes, F., Jenko, F., Jensen, T., Joffrin, E., Kasemann, C., Kalvin, S., Kantor, M., Kappatou, A., Kardaun, O., Karhunen, J., Kasilov, S., Kernbichler, W., Kim, D., Kimmig, S., Kirk, A., Klingshirn, H. -J, Koch, F., Kocsis, G., Kohn, A., Kraus, M., Krieger, K., Krivska, A., Kramer-Flecken, A., Kurki-Suonio, T., Kurzan, B., Lackner, K., Laggner, F., Lang, P. T., Lauber, P., Lazanyi, N., Lazaros, A., Lebschy, A., Li, L., Li, M., Liang, Y., Lipschultz, B., Liu, Y., Lohs, A., Luhmann, N. C., Lunt, T., Lyssoivan, A., Madsen, J., Maier, H., Maj, O., Mailloux, J., Maljaars, E., Manas, P., Mancini, A., Manhard, A., Manso, M. -E, Mantica, P., Mantsinen, M., Manz, P., Maraschek, M., Martens, C., Martin Oberkofler, Marrelli, L., Martitsch, A., Mastrostefano, S., Mayer, A., Mayer, M., Mazon, D., Mccarthy, P. J., Mcdermott, R., Meisl, G., Meister, H., Medvedeva, A., Merkel, P., Merkel, R., Merle, A., Mertens, V., Meshcheriakov, D., Meyer, H., Meyer, O., Miettunen, J., Milanesio, D., Mink, F., Mlynek, A., Monaco, F., Moon, C., Nazikian, R., Nemes-Czopf, A., Neu, G., Neu, R., Nielsen, A. H., Nielsen, S. K., Nikolaeva, V., Nocente, M., Noterdaeme, J. -M, Nowak, S., Oberkofler, M., Oberparleiter, M., Ochoukov, R., Odstrcil, T., Olsen, J., Orain, F., Palermo, F., Papp, G., Perez, I. Paradela, Pautasso, G., Enzel, F., Petersson, P., Pinzon, J., Piovesan, P., Piron, C., Plaum, B., Plockl, B., Plyusnin, V., Pokol, G., Poli, E., Porte, L., Potzel, S., Prisiazhniuk, D., Putterich, T., Ramisch, M., Rapson, C., Rasmussen, J., Raupp, G., Refy, D., Reich, M., Reimold, F., Ribeiro, T., Riedl, R., Rittich, D., Rocchi, G., Rodriguez-Ramos, M., Rohde, V., Ross, A., Rott, M., Rubel, M., Ryan, D., Ryter, F., Saarelma, S., Salewski, M., Salmi, A., Sanchis-Sanchez, L., Santos, G., Santos, J., Sauter, O., Scarabosio, A., Schall, G., Schmid, K., Schmitz, O., Schneider, P. A., Schneller, M., Schrittwieser, R., Schubert, M., Schwarz-Selinger, T., Schweinzer, J., Scott, B., Sehmer, T., Sertoli, M., Shabbir, A., Shalpegin, A., Shao, L., Sharapov, S., Siccinio, M., Sieglin, B., Sigalov, A., Silva, A., Silva, C., Simon, P., Simpson, J., Snicker, A., Sommariva, C., Sozzi, C., Spolaore, M., Stejner, M., Stober, J., Stobbe, F., Stroth, U., Strumberger, E., Suarez, G., Sugiyama, K., Sun, H. -J, Suttrop, W., Szepesi, T., Tal, B., Tala, T., Tardini, G., Tardocchi, M., Terranova, D., Tierens, W., Told, D., Tudisco, O., Trevisan, G., Treutterer, W., Trier, E., Tripsky, M., Valisa, M., Valovic, M., Vanovac, B., Varela, P., Varoutis, S., Verdoolaege, G., Vezinet, D., Vianello, N., Vicente, J., Vierle, T., Viezzer, E., Toussaint, U., Wagner, D., Wang, N., Wang, X., Weidl, M., Weiland, M., White, A. E., Willensdorfer, M., Wiringer, B., Wischmeier, M., Wolf, R., Wolfrum, E., Xiang, L., Yang, Q., Yang, Z., Yu, Q., Zagorski, R., Zammuto, I., Zarzoso, D., Zhang, W., Zeeland, M., Zehetbauer, T., Zilker, M., Zoletnik, S., Zohm, H., Team, Asdex Upgrade, Team, Eurofusion Mst, Institute of Forest Botany, Georg-August-University [Göttingen], Dutch Institute for Fundamental Energy Research [Eindhoven] (DIFFER), Institute of Applied Physics (IFA - CSIC), GRIDSEN, IPFN, Instituto Superior Técnico, Universidade Técnica de Lisboa (IST), Institut de biologie et chimie des protéines [Lyon] (IBCP), Université Claude Bernard Lyon 1 (UCBL), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique (CNRS), Univ Tennessee, Dept Mat Sci & Engn, The University of Tennessee [Knoxville], Technical Research Centre of Finland, VTT Technical Research Centre of Finland (VTT), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI), CEA Cadarache, Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Department of Information Technology (INTEC), Universiteit Gent = Ghent University [Belgium] (UGENT), Institut für Geophysik [Clausthal-Zellerfeld], Technische Universität Clausthal (TU Clausthal), Association EURATOM-ÖAW, University of Innsbruck, Institut für Plasmaforschung [Stuttgart] (IPF), Universität Stuttgart [Stuttgart], Institute of Plasma Physics, Association Euratom/IPP.CR (IPP PRAGUE), Czech Academy of Sciences [Prague] (CAS), Department of Cancer Biology, University of Massachusetts Medical School [Worcester] (UMASS), University of Massachusetts System (UMASS)-University of Massachusetts System (UMASS), Institut de Recherche sur la Fusion par confinement Magnétique (IRFM), Dipartimento di Fisica Università di Torino and INFN (DF_TORINO), Dipartimento di Fisica infi & Università di Torino, Forschungszentrum Jülich GmbH | Centre de recherche de Juliers, Helmholtz-Gemeinschaft = Helmholtz Association, Institut d'Electronique du Solide et des Systèmes (InESS), Centre National de la Recherche Scientifique (CNRS), Institut Jean Lamour (IJL), Institut de Chimie du CNRS (INC)-Université de Lorraine (UL)-Centre National de la Recherche Scientifique (CNRS), Laboratoire des Sciences des Procédés et des Matériaux (LSPM), Université Paris 13 (UP13)-Institut Galilée-Université Sorbonne Paris Cité (USPC)-Centre National de la Recherche Scientifique (CNRS), Institute for World Forestry, Johann Heinrich von Thünen Institute, Sygen International Plc, Genus Plc, Institut de biologie moléculaire des plantes (IBMP), Centre National de la Recherche Scientifique (CNRS)-Université de Strasbourg (UNISTRA), Institut für Experimentelle und Angewandte Physik [Kiel] (IEAP), Christian-Albrechts-Universität zu Kiel (CAU), Department of Experimental Medical Science, AUTRES, Max-Planck-Institut für Plasmaphysik [Garching] (IPP), Department of Obstetrics and Gynecology, Goethe-Universität Frankfurt am Main, Euratom/CCFE Fusion Association, Atomic Energy Research Institute [Budapest], Centre for Energy Research [Budapest] (MTAE), Hungarian Academy of Sciences (MTA)-Hungarian Academy of Sciences (MTA), Science et Ingénierie des Matériaux et Procédés (SIMaP), Université Joseph Fourier - Grenoble 1 (UJF)-Centre National de la Recherche Scientifique (CNRS)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut de Chimie du CNRS (INC)-Institut National Polytechnique de Grenoble (INPG), ENEA C.R. Frascati, Via E. Fermi, 45, 00044 Frascati, Roma, Italy, affiliation inconnue, Department of Radiology, St. James's Hospital, Dept of Mechanical and Process Engineering, Eidgenössische Technische Hochschule - Swiss Federal Institute of Technology [Zürich] (ETH Zürich), Database group, Computer Science and engeenering Department [San Diego] (DB CSE UCSD), University of California [San Diego] (UC San Diego), University of California-University of California, F. Hoffmann-La RocheAG, Dutch Institute for Fundamental Energy Research [Eindhoven] ( DIFFER ), Institute of Applied Physics ( IFA - CSIC ), Instituto Superior Técnico, Universidade Técnica de Lisboa ( IST ), Institut de Microélectronique, Electromagnétisme et Photonique - Laboratoire d'Hyperfréquences et Caractérisation ( IMEP-LAHC ), Centre National de la Recherche Scientifique ( CNRS ) -Université Savoie Mont Blanc ( USMB [Université de Savoie] [Université de Chambéry] ) -Institut National Polytechnique de Grenoble ( INPG ) -Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Université Grenoble Alpes ( UGA ), Institut de biologie et chimie des protéines [Lyon] ( IBCP ), Université Claude Bernard Lyon 1 ( UCBL ), Université de Lyon-Université de Lyon-Centre National de la Recherche Scientifique ( CNRS ), VTT Technical Research Centre of Finland ( VTT ), Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung ( AWI ), Laboratoire de Science et Génie des Matériaux et de Métallurgie ( LSG2M ), Université Henri Poincaré - Nancy 1 ( UHP ) -Institut National Polytechnique de Lorraine ( INPL ) -Centre National de la Recherche Scientifique ( CNRS ), Commissariat à l'énergie atomique et aux énergies alternatives ( CEA ), Department of Information Technology ( INTEC ), Ghent University [Belgium] ( UGENT ), Institut fur Geophysical, IPF, Institute of Plasma Physics, Association Euratom/IPP.CR ( IPP PRAGUE ), Czech Academy of Sciences [Prague] ( ASCR ), University of Massachusetts Medical School [Worcester] ( UMASS ), Institut de Recherche sur la Fusion par confinement Magnétique ( IRFM ), Dipartimento di Fisica Università di Torino and INFN ( DF_TORINO ), Forschungszentrum Jülich GmbH, Institut d'Electronique du Solide et des Systèmes ( InESS ), Centre National de la Recherche Scientifique ( CNRS ), Institut Jean Lamour ( IJL ), Centre National de la Recherche Scientifique ( CNRS ) -Université de Lorraine ( UL ), Laboratoire des Sciences des Procédés et des Matériaux ( LSPM ), Université Paris 13 ( UP13 ) -Université Sorbonne Paris Cité ( USPC ) -Institut Galilée-Centre National de la Recherche Scientifique ( CNRS ), Institut de biologie moléculaire des plantes ( IBMP ), Université de Strasbourg ( UNISTRA ) -Centre National de la Recherche Scientifique ( CNRS ), IEAP, Christian-Albrechts-Universität zu Kiel ( CAU ), Max-Planck-Institut für Plasmaphysik [Garching] ( IPP ), J. W. Goethe-University, Hungarian Academy of Sciences KFKI Atomic Energy Research Institute, Science et Ingénierie des Matériaux et Procédés ( SIMaP ), Université Joseph Fourier - Grenoble 1 ( UJF ) -Institut polytechnique de Grenoble - Grenoble Institute of Technology ( Grenoble INP ) -Institut National Polytechnique de Grenoble ( INPG ) -Centre National de la Recherche Scientifique ( CNRS ) -Université Grenoble Alpes ( UGA ), Laboratoire de Physique Corpusculaire - Clermont-Ferrand ( LPC ), Université Blaise Pascal - Clermont-Ferrand 2 ( UBP ) -Institut National de Physique Nucléaire et de Physique des Particules du CNRS ( IN2P3 ) -Centre National de la Recherche Scientifique ( CNRS ), university college cork, University College Cork ( UCC ), Eidgenössische Technische Hochschule [Zürich] ( ETH Zürich ), Database group, Computer Science and engeenering Department [San Diego] ( DB CSE UCSD ), University of California [San Diego] ( UC San Diego ), Aguiam, D, Aho-Mantila, L, Angioni, C, Arden, N, Parra, R, Asunta, O, Debaar, M, Balden, M, Behler, K, Bergmann, A, Bernardo, J, Bernert, M, Beurskens, M, Biancalani, A, Bilato, R, Birkenmeier, G, Bobkov, V, Bock, A, Bogomolov, A, Bolzonella, T, Boeswirth, B, Bottereau, C, Bottino, A, Van den Brand, H, Brezinsek, S, Brida, D, Brochard, F, Bruhn, C, Buchanan, J, Buhler, A, Burckhart, A, Cambon-Silva, D, Camenen, Y, Carvalho, P, Carrasco, G, Cazzaniga, C, Carr, M, Carralero, D, Casali, L, Castaldo, C, Cavedon, M, Challis, C, Chankin, A, Chapman, I, Clairet, F, Classen, I, Coda, S, Coelho, R, Coenen, J, Colas, L, Conway, G, Costea, S, Coster, D, Croci, G, Cseh, G, Czarnecka, A, D'Arcangelo, O, Day, C, Delogu, R, de Marne, P, Denk, S, Denner, P, Dibon, M, D'Inca, R, Disiena, A, Douai, D, Drenik, A, Drube, R, Dunne, M, Duval, B, Dux, R, Eich, T, Elgeti, S, Engelhardt, K, Erdos, B, Erofeev, I, Esposito, B, Fable, E, Faitsch, M, Fantz, U, Faugel, H, Felici, F, Fietz, S, Figueredo, A, Fischer, R, Ford, O, Frassinetti, L, Freethy, S, Froeschle, M, Fuchert, G, Fuchs, J, Fuenfgelder, H, Galazka, K, Galdon-Quiroga, J, Gallo, A, Gao, Y, Garavaglia, S, Garcia-Munoz, M, Geiger, B, Cianfarani, C, Giannone, L, Giovannozzi, E, Gleason-Gonzalez, C, Gloeggler, S, Gobbin, M, Goerler, T, Goodman, T, Gorini, G, Gradic, D, Graeter, A, Granucci, G, Greuner, H, Griener, M, Groth, M, Gude, A, Guenter, S, Guimarais, L, Haas, G, Hakola, A, Ham, C, Happel, T, Harrison, J, Hatch, D, Hauer, V, Hayward, T, Heinemann, B, Heinzel, S, Hellsten, T, Henderson, S, Hennequin, P, Herrmann, A, Heyn, E, Hitzler, F, Hobirk, J, Hoelzl, M, Hoeschen, T, Holm, J, Hopf, C, Hoppe, F, Horvath, L, Houben, A, Huber, A, Igochine, V, Ilkei, T, Ivanova-Stanik, I, Jacob, W, Jacobsen, A, Jacquot, J, Janky, F, Jardin, A, Jaulmes, F, Jenko, F, Jensen, T, Joffrin, E, Kaesemann, C, Kallenbach, A, Kalvin, S, Kantor, M, Kappatou, A, Kardaun, O, Karhunen, J, Kasilov, S, Kernbichler, W, Kim, D, Kimmig, S, Kirk, A, Klingshirn, H, Koch, F, Kocsis, G, Koehn, A, Kraus, M, Krieger, K, Krivska, A, Kraemr-Flecken, A, Kurki-Suonio, T, Kurzan, B, Lackner, K, Laggner, F, Lang, P, Lauber, P, Lazanyi, N, Lazaros, A, Lebschy, A, Li, L, Li, M, Liang, Y, Lipschultz, B, Liu, Y, Lohs, A, Luhmann, N, Lunt, T, Lyssoivan, A, Madsen, J, Maier, H, Maj, O, Mailloux, J, Maljaars, E, Manas, P, Mancini, A, Manhard, A, Manso, M, Mantica, P, Mantsinen, M, Manz, P, Maraschek, M, Martens, C, Martin, P, Marrelli, L, Martitsch, A, Mastrostefano, S, Mayer, A, Mayer, M, Mazon, D, Mccarthy, P, Mcdermott, R, Meisl, G, Meister, H, Medvedeva, A, Merkel, P, Merkel, R, Merle, A, Mertens, V, Meshcheriakov, D, Meyer, H, Meyer, O, Miettunen, J, Milanesio, D, Mink, F, Mlynek, A, Monaco, F, Moon, C, Nazikian, R, Nemes-Czopf, A, Neu, G, Neu, R, Nielsen, A, Nielsen, S, Nikolaeva, V, Nocente, M, Noterdaeme, J, Nowak, S, Oberkofler, M, Oberparleiter, M, Ochoukov, R, Odstrcil, T, Olsen, J, Orain, F, Palermo, F, Papp, G, Paradela Perez, I, Pautasso, G, Enzel, F, Petersson, P, Pinzon, J, Piovesan, P, Piron, C, Plaum, B, Ploeckl, B, Plyusnin, V, Pokol, G, Poli, E, Porte, L, Potzel, S, Prisiazhniuk, D, Puetterich, T, Ramisch, M, Rapson, C, Rasmussen, J, Raupp, G, Refy, D, Reich, M, Reimold, F, Ribeiro, T, Riedl, R, Rittich, D, Rocchi, G, Rodriguez-Ramos, M, Rohde, V, Ross, A, Rott, M, Rubel, M, Ryan, D, Ryter, F, Saarelma, S, Salewski, M, Salmi, A, Sanchis-Sanchez, L, Santos, G, Santos, J, Sauter, O, Scarabosio, A, Schall, G, Schmid, K, Schmitz, O, Schneider, P, Schneller, M, Schrittwieser, R, Schubert, M, Schwarz-Selinger, T, Schweinzer, J, Scott, B, Sehmer, T, Sertoli, M, Shabbir, A, Shalpegin, A, Shao, L, Sharapov, S, Siccinio, M, Sieglin, B, Sigalov, A, Silva, A, Silva, C, Simon, P, Simpson, J, Snicker, A, Sommariva, C, Sozzi, C, Spolaore, M, Stejner, M, Stober, J, Stobbe, F, Stroth, U, Strumberger, E, Suarez, G, Sugiyama, K, Sun, H, Suttrop, W, Szepesi, T, Tal, B, Tala, T, Tardini, G, Tardocchi, M, Terranova, D, Tierens, W, Told, D, Tudisco, O, Trevisan, G, Treutterer, W, Trier, E, Tripsky, M, Valisa, M, Valovic, M, Vanovac, B, Varela, P, Varoutis, S, Verdoolaege, G, Vezinet, D, Vianello, N, Vicente, J, Vierle, T, Viezzer, E, von Toussaint, U, Wagner, D, Wang, N, Wang, X, Weidl, M, Weil, White, A, Willensdorfer, M, Wiringer, B, Wischmeier, M, Wolf, R, Wolfrum, E, Xiang, L, Yang, Q, Yang, Z, Yu, Q, Zagorski, R, Zammuto, I, Zarzoso, D, Zhang, W, van Zeeland, M, Zehetbauer, T, Zilker, M, Zoletnik, S, Zohm, H, Physique des interactions ioniques et moléculaires (PIIM), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Ecole Polytechnique Fédérale de Lausanne (EPFL), Laboratoire de Physique des Plasmas (LPP), Université Paris-Sud - Paris 11 (UP11)-Université Pierre et Marie Curie - Paris 6 (UPMC)-Observatoire de Paris, Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École polytechnique (X)-Sorbonne Université (SU)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), York Plasma Institute (YPI), University of York [York, UK], EURATOM/CCFE Fusion Association, Culham Science Centre [Abingdon], Istituto di Fisica del Plasma, EURATOM-ENEA-CNR Association, Consiglio Nazionale delle Ricerche [Roma] (CNR), Leopold Franzens Universität Innsbruck - University of Innsbruck, Institute of Plasma Physics [Praha], Association EURATOM-TEKES, Helsinki University of Technology, Finland, Instituto de Plasmas e Fusão Nuclear [Lisboa] (IPFN), Institute of Atomic Physics, Université de Roumanie, FOM Institute for Atomic and Molecular Physics (AMOLF), FOM Institute DIFFER - Dutch Institute for Fundamental Energy Research, The Netherlands, Culham Centre for Fusion Energy (CCFE), University College Cork (UCC), Italian National agency for new technologies, Energy and sustainable economic development [Frascati] (ENEA), KFKI Research Institute for Particle and Nuclear Physics (KFKI-RMKI), National Technical University of Athens [Athens] (NTUA), Danmarks Tekniske Universitet = Technical University of Denmark (DTU), Department of Mechanical and Aerospace Engineering [Univ California San Diego] (MAE - UC San Diego), University of California (UC)-University of California (UC), National Research Council of Italy | Consiglio Nazionale delle Ricerche (CNR), General Atomics [San Diego], Ricerca Formazione Innovazione (Consorzio RFX), Warsaw University of Technology [Warsaw], Physique des interactions ioniques et moléculaires ( PIIM ), Aix Marseille Université ( AMU ) -Centre National de la Recherche Scientifique ( CNRS ), Max Planck Institute for Plasma Physics, Ecole Polytechnique Fédérale de Lausanne ( EPFL ), Laboratoire de Physique des Plasmas ( LPP ), Université Paris-Sud - Paris 11 ( UP11 ) -Université Pierre et Marie Curie - Paris 6 ( UPMC ) -Observatoire de Paris-École polytechnique ( X ) -Sorbonne Universités-PSL Research University ( PSL ) -Université Paris-Saclay-Centre National de la Recherche Scientifique ( CNRS ), York Plasma Institute ( YPI ), Culham Science Centre, Consiglio Nazionale delle Ricerche [Roma] ( CNR ), Universidad de Sevilla. Departamento de Física Atómica, Molecular y Nuclear, Universidad de Sevilla. RNM138: Física Nuclear Aplicada, IST, VTT Technical Research Centre of Finland, Max Planck Inst Astrophys, Max Planck Society, Department of Applied Physics, TEC, JET EFDA, Culham Sci Ctr, Technische Universität München, Consorzio RFX, IRFM, Assoc EURATOM FZJ, Euratom, Julich Research Center, Forschungszentrum Julich, Inst Energy & Climate Res, University of Lorraine, ENEA, Istituto Fisica del Plasma 'Piero Caldirola' (IFP-CNR), Swiss Federal Institute of Technology Lausanne, Innsbruck Medical University, Hungarian Academy of Sciences, Institute of Plasma Physics & Laser Microfusion (IFPiLM), Karlsruhe Institute of Technology, Eindhoven University of Technology, Swedish Research Council (VR), General Atomics & Affiliated Companies, University of Sevilla, University of Texas at Austin, Max Planck Comp & Data Facil, Ecole Polytechnique, Hochschule der Medien, Technical University of Denmark, Budapest University of Technology and Economics, University of California at Santa Barbara, School services, SCI, LPP-ERM/KMS EURATOM Association, Vienna University of Technology, Assoc EURATOM Hellen Republ, NCSR Demokritos, IPP, York University, CCFE Fusion Assoc, BSC, Univ Coll Cork UCC, Princeton University, Ghent University, Chinese Acad Sci, Chinese Academy of Sciences, Natl Astron Observ, Department of Radio Science and Engineering, Massachusetts Institute of Technology, Chinese Academy of Sciences, Univ Aix Marseille 1, Centre National de la Recherche Scientifique (CNRS), University of Aix-Marseille, Universite de Provence - Aix-Marseille I, UMR 6098, CNRS, Aalto-yliopisto, Aalto University, Massachusetts Institute of Technology. Plasma Science and Fusion Center, White, Anne E., Université Paris sciences et lettres (PSL)-Université Paris sciences et lettres (PSL)-École polytechnique (X)-Université Paris-Saclay-Centre National de la Recherche Scientifique (CNRS), Arslanbekov, R, Atanasiu, C, Becker, G, Becker, W, Behringer, K, Bolshukhin, D, Borrass, K, Brambilla, M, Braun, F, Carlson, A, Egorov, S, Fahrbach, H, Finken, K, Foley, M, Franzen, P, Gafert, J, Fournier, K, Gantenbein, G, Gehre, O, Geier, A, Gernhardt, J, Gruber, O, Gunter, S, Hartmann, D, Heger, B, Hofmeister, F, Hohenocker, H, Horton, L, Jacchia, A, Jakobi, M, Kaufmann, M, Keller, A, Kendl, A, Kim, J, Kirov, K, Kochergov, R, Kollotzek, H, Kraus, W, Lasnier, C, Laux, M, Leonard, A, Leuterer, F, Lorenz, A, Lorenzini, R, Maggi, C, Mank, K, Martines, E, Mast, K, Meisel, D, Meo, F, Merkl, D, Muck, A, Muller, H, Munich, M, Murmann, H, Na, Y, Neuhauser, J, Nguyen, F, Nishijima, D, Nishimura, Y, Nunes, I, Peeters, A, Pereverzev, G, Pinches, S, Proschek, M, Pugno, R, Quigley, E, Roth, J, Sandmann, W, Savtchkov, A, Schade, S, Schilling, H, Schneider, W, Schramm, G, Schwarz, E, Schweizer, S, Seidel, U, Serra, F, Sesnic, S, Sihler, C, Sips, A, Speth, E, Stabler, A, Steuer, K, Streibl, B, Tabasso, A, Tanga, A, Tichmann, C, Troppmann, M, Urano, H, Vollmer, O, Wenzel, U, Wesner, F, Westerhof, E, Wursching, E, Yoon, S, Zasche, D, Zehrfeld, H, Barcelona Supercomputing Center, ASDEX Upgrade Team, Max Planck Institute for Plasma Physics, Max Planck Society, EUROfusion MST1 Team, Adamek, J, Aho Mantila, L, Akaslompolo, S, Amdor, C, Bardin, S, Orte, L, Belonohy, E, Boom, J, Brochard, T, Bruedgam, M, Casson, F, Curran, D, da Silva, F, Eixenberger, H, Endstrasser, N, Gal, K, Munoz, M, da Graca, S, Hangan, D, Haertl, T, Hauff, T, Hoehnle, H, Ionita, C, Janzer, A, Kasparek, W, Kocan, M, Konz, C, Koslowski, R, Kubic, M, Kurki Suonio, T, Leipold, F, Lindig, S, Lisgo, S, Makkonen, T, Mehlmann, F, Menchero, L, Merz, F, Mueller, S, Mueller, H, Muenich, M, Neuwirth, D, Nold, B, Podoba, Y, Pompon, F, Polozhiy, K, Pueschel, M, Rathgeber, S, Rooij, G, Sauter, P, Sempf, M, Sommer, F, Staebler, A, Teschke, M, Tsalas, M, Van Zeeland, M, Veres, G, Viola, B, Vorpahl, C, Wachowski, M, Wauters, T, Weller, A, Wenninger, R, Wieland, B, Wuersching, E, Zhang, Y, Science and Technology of Nuclear Fusion, Max Planck IPP-EURATOM Assoziation, Universidade de Lisboa, Dutch Institute for Fundamental Energy Research, Technical University of Munich, IRFM-CEA, Forschungszentrum Jülich, Université de Lorraine, and École Polytechnique Fedérale de Lausanne

Subjects
Nuclear and High Energy Physics, Tokamak, Materials science, Energies [Àrees temàtiques de la UPC], 114 Physical sciences, 7. Clean energy, 01 natural sciences, Electron cyclotron resonance, H-MODE DISCHARGES, 010305 fluids & plasmas, law.invention, ASDEX Upgrade, overview, ASDEX Upgrade, law, [PHYS.PHYS.PHYS-PLASM-PH]Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], Physics::Plasma Physics, ITER, 0103 physical sciences, Fusió nuclear, [SPI.GPROC]Engineering Sciences [physics]/Chemical and Process Engineering, 010306 general physics, tokamak, DEMO, tokamak physic, Fusion reactions, nuclear fusion, Divertor, Magnetic confinement fusion, [ SPI.GPROC ] Engineering Sciences [physics]/Chemical and Process Engineering, [ PHYS.PHYS.PHYS-PLASM-PH ] Physics [physics]/Physics [physics]/Plasma Physics [physics.plasm-ph], Fusion power, Condensed Matter Physics, ___, Plasma parameter, Plasma diagnostics, Atomic physics, tokamak physics
Abstract

The ASDEX Upgrade (AUG) programme is directed towards physics input to critical elements of the ITER design and the preparation of ITER operation, as well as addressing physics issues for a future DEMO design. Since 2015, AUG is equipped with a new pair of 3-strap ICRF antennas, which were designed for a reduction of tungsten release during ICRF operation. As predicted, a factor two reduction on the ICRF-induced W plasma content could be achieved by the reduction of the sheath voltage at the antenna limiters via the compensation of the image currents of the central and side straps in the antenna frame. There are two main operational scenario lines in AUG. Experiments with low collisionality, which comprise current drive, ELM mitigation/suppression and fast ion physics, are mainly done with freshly boronized walls to reduce the tungsten influx at these high edge temperature conditions. Full ELM suppression and non-inductive operation up to a plasma current of I p = 0.8 MA could be obtained at low plasma density. Plasma exhaust is studied under conditions of high neutral divertor pressure and separatrix electron density, where a fresh boronization is not required. Substantial progress could be achieved for the understanding of the confinement degradation by strong D puffing and the improvement with nitrogen or carbon seeding. Inward/outward shifts of the electron density profile relative to the temperature profile effect the edge stability via the pressure profile changes and lead to improved/decreased pedestal performance. Seeding and D gas puffing are found to effect the core fueling via changes in a region of high density on the high field side (HFSHD). The integration of all above mentioned operational scenarios will be feasible and naturally obtained in a large device where the edge is more opaque for neutrals and higher plasma temperatures provide a lower collisionality. The combination of exhaust control with pellet fueling has been successfully demonstrated. High divertor enrichment values of nitrogen E N ⩾ 10 have been obtained during pellet injection, which is a prerequisite for the simultaneous achievement of good core plasma purity and high divertor radiation levels. Impurity accumulation observed in the all-metal AUG device caused by the strong neoclassical inward transport of tungsten in the pedestal is expected to be relieved by the higher neoclassical temperature screening in larger devices.

5. The global distribution and drivers of wood density and their impact on forest carbon stocks.

Author

Mo L, Crowther TW, Maynard DS, van den Hoogen J, Ma H, Bialic-Murphy L, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Phillips OL, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Boonman CCF, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hietz P, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Li Y, Lopez-Gonzalez G, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, McCarthy JK, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poorter L, Poulsen AD, Poulsen JR, Pretzsch H, Arevalo FR, Restrepo-Correa Z, Richardson SJ, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Da Silva AC, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Sosinski EE Jr, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, Van Bodegom PM, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Zohner CM

Abstract

The density of wood is a key indicator of the carbon investment strategies of trees, impacting productivity and carbon storage. Despite its importance, the global variation in wood density and its environmental controls remain poorly understood, preventing accurate predictions of global forest carbon stocks. Here we analyse information from 1.1 million forest inventory plots alongside wood density data from 10,703 tree species to create a spatially explicit understanding of the global wood density distribution and its drivers. Our findings reveal a pronounced latitudinal gradient, with wood in tropical forests being up to 30% denser than that in boreal forests. In both angiosperms and gymnosperms, hydrothermal conditions represented by annual mean temperature and soil moisture emerged as the primary factors influencing the variation in wood density globally. This indicates similar environmental filters and evolutionary adaptations among distinct plant groups, underscoring the essential role of abiotic factors in determining wood density in forest ecosystems. Additionally, our study highlights the prominent role of disturbance, such as human modification and fire risk, in influencing wood density at more local scales. Factoring in the spatial variation of wood density notably changes the estimates of forest carbon stocks, leading to differences of up to 21% within biomes. Therefore, our research contributes to a deeper understanding of terrestrial biomass distribution and how environmental changes and disturbances impact forest ecosystems., (© 2024. The Author(s).)

Published
2024
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6. Integrated global assessment of the natural forest carbon potential.

Author

Mo L, Zohner CM, Reich PB, Liang J, de Miguel S, Nabuurs GJ, Renner SS, van den Hoogen J, Araza A, Herold M, Mirzagholi L, Ma H, Averill C, Phillips OL, Gamarra JGP, Hordijk I, Routh D, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Amaral I, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon RL, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Frizzera L, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Hillers A, Honorio Coronado EN, Hui C, Ibanez T, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Mendoza-Polo I, Miscicki S, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Picard N, Piedade MTF, Piotto D, Pitman NCA, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, Gann GD, and Crowther TW

Subjects
Biodiversity, Human Activities, Environmental Restoration and Remediation trends, Sustainable Development trends, Global Warming prevention & control, Carbon analysis, Carbon metabolism, Carbon Sequestration, Conservation of Natural Resources statistics & numerical data, Conservation of Natural Resources trends, Forests
Abstract

Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system 1 . Remote-sensing estimates to quantify carbon losses from global forests 2-5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced 6 and satellite-derived approaches 2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151-363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea 2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets., (© 2023. The Author(s).)

Published
2023
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7. The global biogeography of tree leaf form and habit.

Author

Ma H, Crowther TW, Mo L, Maynard DS, Renner SS, van den Hoogen J, Zou Y, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Niinemets Ü, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brearley FQ, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Cazzolla Gatti R, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Valverde FC, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Finér L, Fischer M, Fletcher C, Fridman J, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Kucher D, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Monteagudo Mendoza A, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTF, Piotto D, Pitman NCA, Mendoza-Polo I, Poulsen AD, Poulsen JR, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schelhaas MJ, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miścicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Van Do T, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Westerlund B, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Zohner CM

Subjects
Humans, Forests, Plant Leaves metabolism, Habits, Carbon metabolism, Trees metabolism, Ecosystem
Abstract

Understanding what controls global leaf type variation in trees is crucial for comprehending their role in terrestrial ecosystems, including carbon, water and nutrient dynamics. Yet our understanding of the factors influencing forest leaf types remains incomplete, leaving us uncertain about the global proportions of needle-leaved, broadleaved, evergreen and deciduous trees. To address these gaps, we conducted a global, ground-sourced assessment of forest leaf-type variation by integrating forest inventory data with comprehensive leaf form (broadleaf vs needle-leaf) and habit (evergreen vs deciduous) records. We found that global variation in leaf habit is primarily driven by isothermality and soil characteristics, while leaf form is predominantly driven by temperature. Given these relationships, we estimate that 38% of global tree individuals are needle-leaved evergreen, 29% are broadleaved evergreen, 27% are broadleaved deciduous and 5% are needle-leaved deciduous. The aboveground biomass distribution among these tree types is approximately 21% (126.4 Gt), 54% (335.7 Gt), 22% (136.2 Gt) and 3% (18.7 Gt), respectively. We further project that, depending on future emissions pathways, 17-34% of forested areas will experience climate conditions by the end of the century that currently support a different forest type, highlighting the intensification of climatic stress on existing forests. By quantifying the distribution of tree leaf types and their corresponding biomass, and identifying regions where climate change will exert greatest pressure on current leaf types, our results can help improve predictions of future terrestrial ecosystem functioning and carbon cycling., (© 2023. The Author(s).)

Published
2023
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8. Author Correction: Native diversity buffers against severity of non-native tree invasions.

Author

Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS

Published
2023
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9. Native diversity buffers against severity of non-native tree invasions.

Author

Delavaux CS, Crowther TW, Zohner CM, Robmann NM, Lauber T, van den Hoogen J, Kuebbing S, Liang J, de-Miguel S, Nabuurs GJ, Reich PB, Abegg M, Adou Yao YC, Alberti G, Almeyda Zambrano AM, Alvarado BV, Alvarez-Dávila E, Alvarez-Loayza P, Alves LF, Ammer C, Antón-Fernández C, Araujo-Murakami A, Arroyo L, Avitabile V, Aymard GA, Baker TR, Bałazy R, Banki O, Barroso JG, Bastian ML, Bastin JF, Birigazzi L, Birnbaum P, Bitariho R, Boeckx P, Bongers F, Bouriaud O, Brancalion PHS, Brandl S, Brienen R, Broadbent EN, Bruelheide H, Bussotti F, Gatti RC, César RG, Cesljar G, Chazdon R, Chen HYH, Chisholm C, Cho H, Cienciala E, Clark C, Clark D, Colletta GD, Coomes DA, Cornejo Valverde F, Corral-Rivas JJ, Crim PM, Cumming JR, Dayanandan S, de Gasper AL, Decuyper M, Derroire G, DeVries B, Djordjevic I, Dolezal J, Dourdain A, Engone Obiang NL, Enquist BJ, Eyre TJ, Fandohan AB, Fayle TM, Feldpausch TR, Ferreira LV, Fischer M, Fletcher C, Frizzera L, Gamarra JGP, Gianelle D, Glick HB, Harris DJ, Hector A, Hemp A, Hengeveld G, Hérault B, Herbohn JL, Herold M, Hillers A, Honorio Coronado EN, Hui C, Ibanez TT, Amaral I, Imai N, Jagodziński AM, Jaroszewicz B, Johannsen VK, Joly CA, Jucker T, Jung I, Karminov V, Kartawinata K, Kearsley E, Kenfack D, Kennard DK, Kepfer-Rojas S, Keppel G, Khan ML, Killeen TJ, Kim HS, Kitayama K, Köhl M, Korjus H, Kraxner F, Laarmann D, Lang M, Lewis SL, Lu H, Lukina NV, Maitner BS, Malhi Y, Marcon E, Marimon BS, Marimon-Junior BH, Marshall AR, Martin EH, Martynenko O, Meave JA, Melo-Cruz O, Mendoza C, Merow C, Mendoza AM, Moreno VS, Mukul SA, Mundhenk P, Nava-Miranda MG, Neill D, Neldner VJ, Nevenic RV, Ngugi MR, Niklaus PA, Oleksyn J, Ontikov P, Ortiz-Malavasi E, Pan Y, Paquette A, Parada-Gutierrez A, Parfenova EI, Park M, Parren M, Parthasarathy N, Peri PL, Pfautsch S, Phillips OL, Picard N, Piedade MTTF, Piotto D, Pitman NCA, Polo I, Poorter L, Poulsen AD, Pretzsch H, Ramirez Arevalo F, Restrepo-Correa Z, Rodeghiero M, Rolim SG, Roopsind A, Rovero F, Rutishauser E, Saikia P, Salas-Eljatib C, Saner P, Schall P, Schepaschenko D, Scherer-Lorenzen M, Schmid B, Schöngart J, Searle EB, Seben V, Serra-Diaz JM, Sheil D, Shvidenko AZ, Silva-Espejo JE, Silveira M, Singh J, Sist P, Slik F, Sonké B, Souza AF, Miscicki S, Stereńczak KJ, Svenning JC, Svoboda M, Swanepoel B, Targhetta N, Tchebakova N, Ter Steege H, Thomas R, Tikhonova E, Umunay PM, Usoltsev VA, Valencia R, Valladares F, van der Plas F, Do TV, van Nuland ME, Vasquez RM, Verbeeck H, Viana H, Vibrans AC, Vieira S, von Gadow K, Wang HF, Watson JV, Werner GDA, Wiser SK, Wittmann F, Woell H, Wortel V, Zagt R, Zawiła-Niedźwiecki T, Zhang C, Zhao X, Zhou M, Zhu ZX, Zo-Bi IC, and Maynard DS

Subjects
Databases, Factual, Human Activities, Phylogeny, Rain, Temperature, Biodiversity, Introduced Species statistics & numerical data, Introduced Species trends, Trees classification, Trees physiology, Environment
Abstract

Determining the drivers of non-native plant invasions is critical for managing native ecosystems and limiting the spread of invasive species 1,2 . Tree invasions in particular have been relatively overlooked, even though they have the potential to transform ecosystems and economies 3,4 . Here, leveraging global tree databases 5-7 , we explore how the phylogenetic and functional diversity of native tree communities, human pressure and the environment influence the establishment of non-native tree species and the subsequent invasion severity. We find that anthropogenic factors are key to predicting whether a location is invaded, but that invasion severity is underpinned by native diversity, with higher diversity predicting lower invasion severity. Temperature and precipitation emerge as strong predictors of invasion strategy, with non-native species invading successfully when they are similar to the native community in cold or dry extremes. Yet, despite the influence of these ecological forces in determining invasion strategy, we find evidence that these patterns can be obscured by human activity, with lower ecological signal in areas with higher proximity to shipping ports. Our global perspective of non-native tree invasion highlights that human drivers influence non-native tree presence, and that native phylogenetic and functional diversity have a critical role in the establishment and spread of subsequent invasions., (© 2023. The Author(s).)

Published
2023
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10. Interaction Effect between Elevated CO₂ and Fertilization on Biomass, Gas Exchange and C/N Ratio of European Beech (Fagus sylvatica L.).

Author

Lotfiomran N, Köhl M, and Fromm J

Abstract

The effects of elevated CO₂ and interaction effects between elevated CO₂ and nutrient supplies on growth and the C/N ratio of European beech (Fagus sylvatica L.) saplings were studied. One-year-old beech saplings were grown in a greenhouse at ambient (385 ppm) and elevated CO₂ (770 ppm/950 ppm), with or without fertilization for two growing seasons. In this study, emphasis is placed on the combined fertilization including phosphorus, potassium and nitrogen with two level of elevated CO₂. The fertilized plants grown under elevated CO₂ had the highest net leaf photosynthesis rate (Ac). The saplings grown under elevated CO₂ had a significantly lower stomatal conductance (gs) than saplings grown under ambient air. No interaction effect was found between elevated CO₂ and fertilization on Ac. A interaction effect between CO₂ and fertilization, as well as between date and fertilization and between date and CO₂ was detected on gs. Leaf chlorophyll content index (CCI) and leaf nitrogen content were strongly positively correlated to each other and both of them decreased under elevated CO₂. At the end of both growing seasons, stem dry weight was greater under elevated CO₂ and root dry weight was not affected by different treatments. No interaction effect was detected between elevated CO₂ and nutrient supplies on the dry weight of different plant tissues (stems and roots). However, elevated CO₂ caused a significant decrease in the nitrogen content of plant tissues. Nitrogen reduction in the leaves under elevated CO₂ was about 10% and distinctly higher than in the stem and root. The interaction effect of elevated CO₂ and fertilization on C/N ratio in plants tissues was significant. The results led to the conclusion that photosynthesis and the C/N ratio increased while stomatal conductance and leaf nitrogen content decreased under elevated CO₂ and nutrient-limited conditions. In general, under nutrient-limited conditions, the plant responses to elevated CO₂ were decreased., Competing Interests: The authors declare no conflict of interest.

Published
2016
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11. Avoiding treatment bias of REDD+ monitoring by sampling with partial replacement.

Author

Köhl M, Scott CT, Lister AJ, Demon I, and Plugge D

Abstract

Background: Implementing REDD+ renders the development of a measurement, reporting and verification (MRV) system necessary to monitor carbon stock changes. MRV systems generally apply a combination of remote sensing techniques and in-situ field assessments. In-situ assessments can be based on 1) permanent plots, which are assessed on all successive occasions, 2) temporary plots, which are assessed only once, and 3) a combination of both. The current study focuses on in-situ assessments and addresses the effect of treatment bias, which is introduced by managing permanent sampling plots differently than the surrounding forests. Temporary plots are not subject to treatment bias, but are associated with large sampling errors and low cost-efficiency. Sampling with partial replacement (SPR) utilizes both permanent and temporary plots., Results: We apply a scenario analysis with different intensities of deforestation and forest degradation to show that SPR combines cost-efficiency with the handling of treatment bias. Without treatment bias permanent plots generally provide lower sampling errors for change estimates than SPR and temporary plots, but do not provide reliable estimates, if treatment bias occurs, SPR allows for change estimates that are comparable to those provided by permanent plots, offers the flexibility to adjust sample sizes in the course of time, and allows to compare data on permanent versus temporary plots for detecting treatment bias. Equivalence of biomass or carbon stock estimates between permanent and temporary plots serves as an indication for the absence of treatment bias while differences suggest that there is evidence for treatment bias., Conclusions: SPR is a flexible tool for estimating emission factors from successive measurements. It does not entirely depend on sample plots that are installed at the first occasion but allows for the adjustment of sample sizes and placement of new plots at any occasion. This ensures that in-situ samples provide representative estimates over time. SPR offers the possibility to increase sampling intensity in areas with high degradation intensities or to establish new plots in areas where permanent plots are lost due to deforestation. SPR is also an ideal approach to mitigate concerns about treatment bias.

Published
2015
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12. Exploring continental-scale stand health - N : P ratio relationships for European forests.

Author

Veresoglou SD, Peñuelas J, Fischer R, Rautio P, Sardans J, Merilä P, Tabakovic-Tosic M, and Rillig MC

Subjects
Climate, Color, Europe, Nitrogen metabolism, Phosphorus metabolism, Plant Leaves metabolism, Stress, Physiological, Tracheophyta metabolism, Trees metabolism
Abstract

Understanding the relationship between nitrogen (N) availability and stand health in forest ecosystems is crucial, because a large proportion of European forests is subjected to N-deposition levels beyond their retention capacity. We used data from a long-term forest monitoring programme (ICP Forests) to test the relationship between an index of N availability, foliar nitrogen : phosphorus (N : P) ratios, tree defoliation and discoloration. We hypothesized a segmented response of stand health to N : P ratios and an improved model-fit after correcting for climatic covariates. In accordance with the hypothesis, we found a segmented response with a breakpoint for conifer defoliation at N : P ratios as low as 7.3. Inclusion of climatic variables improved the fit of the models, but there was significant collinearity with N : P. Increases in N availability appear, at least for conifers, to have a negative effect on tree health even under N-limiting conditions. Regulation of N-deposition levels is consequently as timely as ever. We propose that increases in tree defoliation, other than resulting in serious plant fitness issues, may represent early diagnostic symptoms of N-addition related imbalances., (© 2014 The Authors. New Phytologist © 2014 New Phytologist Trust.)

Published
2014
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13. Revaluing unmanaged forests for climate change mitigation.

Author

Krug J, Koehl M, and Kownatzki D

Abstract

Background: Unmanaged or old-growth forests are of paramount importance for carbon sequestration and thus for the mitigation of climate change among further implications, e.g. biodiversity aspects. Still, the importance of those forests for climate change mitigation compared to managed forests is under controversial debate. We evaluate the adequacy of referring to CO2 flux measurements alone and include external impacts on growth (nitrogen immissions, increasing temperatures, CO2 enrichment, changed precipitation patterns) for an evaluation of central European forests in this context., Results: We deduce that the use of CO2 flux measurements alone does not allow conclusions on a superiority of unmanaged to managed forests for mitigation goals. This is based on the critical consideration of uncertainties and the application of system boundaries. Furthermore, the consideration of wood products for material and energetic substitution obviously overrules the mitigation potential of unmanaged forests. Moreover, impacts of nitrogen immissions, CO2 enrichment of the atmosphere, increasing temperatures and changed precipitation patterns obviously lead to a meaningful increase in growth, even in forests of higher age., Conclusions: An impact of unmanaged forests on climate change mitigation cannot be valued by CO2 flux measurements alone. Further research is needed on cause and effect relationships between management practices and carbon stocks in different compartments of forest ecosystems in order to account for human-induced changes. Unexpected growth rates in old-growth forests - managed or not - can obviously be related to external impacts and additionally to management impacts. This should lead to the reconsideration of forest management strategies.

Published
2012
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14. Combating the effects of climatic change on forests by mitigation strategies.

Author

Köhl M, Hildebrandt R, Olschofksy K, Köhler R, Rötzer T, Mette T, Pretzsch H, Köthke M, Dieter M, Abiy M, Makeschin F, and Kenter B

Abstract

Background: Forests occur across diverse biomes, each of which shows a specific composition of plant communities associated with the particular climate regimes. Predicted future climate change will have impacts on the vulnerability and productivity of forests; in some regions higher temperatures will extend the growing season and thus improve forest productivity, while changed annual precipitation patterns may show disadvantageous effects in areas, where water availability is restricted. While adaptation of forests to predicted future climate scenarios has been intensively studied, less attention was paid to mitigation strategies such as the introduction of tree species well adapted to changing environmental conditions., Results: We simulated the development of managed forest ecosystems in Germany for the time period between 2000 and 2100 under different forest management regimes and climate change scenarios. The management regimes reflect different rotation periods, harvesting intensities and species selection for reforestations. The climate change scenarios were taken from the IPCC's Special Report on Emission Scenarios (SRES). We used the scenarios A1B (rapid and successful economic development) and B1 (high level of environmental and social consciousness combined with a globally coherent approach to a more sustainable development). Our results indicate that the effects of different climate change scenarios on the future productivity and species composition of German forests are minor compared to the effects of forest management., Conclusions: The inherent natural adaptive capacity of forest ecosystems to changing environmental conditions is limited by the long life time of trees. Planting of adapted species and forest management will reduce the impact of predicted future climate change on forests.

Published
2010
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15. Reduced emissions from deforestation and forest degradation (REDD): a climate change mitigation strategy on a critical track.

Author

Köhl M, Baldauf T, Plugge D, and Krug J

Abstract

Background: Following recent discussions, there is hope that a mechanism for reduction of emissions from deforestation and forest degradation (REDD) will be agreed by the Parties of the UNFCCC at their 15th meeting in Copenhagen in 2009 as an eligible action to prevent climate changes and global warming in post-2012 commitment periods. Countries introducing a REDD-regime in order to generate benefits need to implement sound monitoring and reporting systems and specify the associated uncertainties. The principle of conservativeness addresses the problem of estimation errors and requests the reporting of reliable minimum estimates (RME). Here the potential to generate benefits from applying a REDD-regime is proposed with reference to sampling and non-sampling errors that influence the reliability of estimated activity data and emission factors., Results: A framework for calculating carbon benefits by including assessment errors is developed. Theoretical, sample based considerations as well as a simulation study for five selected countries with low to high deforestation and degradation rates show that even small assessment errors (5% and less) may outweigh successful efforts to reduce deforestation and degradation., Conclusion: The generation of benefits from REDD is possible only in situations where assessment errors are carefully controlled.

Published
2009
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16. Options for accounting carbon sequestration in German forests.

Author

Krug J, Koehl M, Riedel T, Bormann K, Rueter S, and Elsasser P

Abstract

Background: The Accra climate change talks held from 21-27 August 2008 in Accra, Ghana, were part of an ongoing series of meetings leading up to the Copenhagen meeting in December 2009. During the meeting a set of options for accounting carbon sequestration in forestry on a post-2012 framework was presented. The options include gross-net and net-net accounting and approaches for establishing baselines., Results: This article demonstrates the embedded consequences of Accra Accounting Options for the case study of German national GHG accounting. It presents the most current assessment of sequestration rates by forest management for the period 1990 - 2007, provides an outlook of future emissions and removals (up to the year 2042) as related to three different management scenarios, and shows that implementation of some Accra options may reverse sources to sinks, or sinks to sources., Conclusion: The results of the study highlight the importance of elaborating an accounting system that would prioritize the climate convention goals, not national preferences.

Published
2009
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17. Characterization of microsatellites in wild and sweet cherry (Prunus avium L.)--markers for individual identification and reproductive processes.

Author

Schueler S, Tusch A, Schuster M, and Ziegenhagen B

Subjects
Genetic Linkage, Genetic Markers, Pollen genetics, Seeds genetics, Microsatellite Repeats, Prunus genetics
Abstract

Nuclear microsatellites were characterized in Prunus avium and validated as markers for individual and cultivar identification, as well as for studies of pollen- and seed-mediated gene flow. We used 20 primer pairs from a simple sequence repeat (SSR) library of Prunus persica and identified 7 loci harboring polymorphic microsatellite sequences in P. avium. In a natural population of 75 wild cherry trees, the number of alleles per locus ranged from 4 to 9 and expected heterozygosity from 0.39 to 0.77. The variability of the SSR markers allowed an unambiguous identification of individual trees and potential root suckers. Additionally, we analyzed 13 sweet cherry cultivars and differentiated 12 of them. An exclusion probability of 0.984 was calculated, which indicates that the seven loci are suitable markers for paternity analysis. The woody endocarp was successfully used for resolution of all microsatellite loci and exhibited the same multilocus genotype as the mother tree, as shown in a single seed progeny. Hence, SSR fingerprinting of the purely maternal endocarp was also successful in this Prunus species, allowing the identification of the mother tree of the dispersed seeds. The linkage of microsatellite loci with PCR-amplified alleles of the self-incompatibility locus was tested in two full-sib families of sweet cherry cultivars. From low recombination frequencies, we inferred that two loci are linked with the S locus. The present study provides markers that will significantly facilitate studies of spatial genetic variation and gene flow in wild cherry, as well as breeding programs in sweet cherry.

Published
2003
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18. Perspectives on secondary forest management in tropical humid lowland America.

Author

Kammesheidt L

Subjects
Animals, Animals, Wild, Caribbean Region, Cattle, Central America, Population Dynamics, South America, Tropical Climate, Agriculture, Conservation of Natural Resources, Forestry
Abstract

Secondary forests regrowing on abandoned agricultural land constitute an important, albeit widely overlooked, component in the landscape matrix of tropical lowland America. These 'new' forest resources on private land-holdings derive either from unsustainable cattle-ranching practices of better-off farmers or are part of the crop/fallow system of resource-poor farmers. If previous land use was light, secondary forest management may offer an interesting use option to better-off farmers, providing that subsidies for stand improvement are given. Improved fallow systems using partly the successional vegetation may be a way to establish sustainable small-scale agriculture for resource-poor farmers. Given some technical and financial input, land-use systems based on secondary vegetation could play a vital role both in sustainable landscape management and biodiversity conservation.

Published
2002
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