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001-es BibID:	BIBFORM081373
Első szerző:	Cailleret, Maxime
Cím:	A synthesis of radial growth patterns preceding tree mortality / Maxime Cailleret, Steven Jansen, Elisabeth M. R. Robert, Lucía Desoto, Tuomas Aakala, Joseph A. Antos, Barbara Beikircher, Christof Bigler, Harald Bugmann, Marco Caccianiga, Vojtěch Čada, Jesus J. Camarero, Paolo Cherubini, Hervé Cochard, Marie R. Coyea, Katarina Čufar, Adrian J. Das, Hendrik Davi, Sylvain Delzon, Michael Dorman, Guillermo Gea-Izquierdo, Sten Gillner, Laurel J. Haavik, Henrik Hartmann, Ana-Maria Hereş, Kevin R. Hultine, Pavel Janda, Jeffrey M. Kane, Vyacheslav I. Kharuk, Thomas Kitzberger, Tamir Klein, Koen Kramer, Frederic Lens, Tom Levanic, Juan C. Linares Calderon, Francisco Lloret, Raquel Lobo-Do-Vale, Fabio Lombardi, Rosana López Rodríguez, Harri Mäkinen, Stefan Mayr, Ilona Mészáros, Juha M. Metsaranta, Francesco Minunno, Walter Oberhuber, Andreas Papadopoulos, Mikko Peltoniemi, Any M. Petritan, Brigitte Rohner, Gabriel Sangüesa-Barreda, Dimitrios Sarris, Jeremy M. Smith, Amanda B. Stan, Frank Sterck, Dejan B. Stojanović, Maria L. Suarez, Miroslav Svoboda, Roberto Tognetti, José M. Torres-Ruiz, Volodymyr Trotsiuk, Ricardo Villalba, Floor Vodde, Alana R. Westwood, Peter H. Wyckoff, Nikolay Zafirov, Jordi Martínez-Vilalta
Dátum:	2017
ISSN:	1354-1013
Megjegyzések:	Tree mortality is a key factor influencing forest functions and dynamics, but our understanding of the mechanisms leading to mortality and the associated changes in tree growth rates are still limited. We compiled a new pan?continental tree?ring width database from sites where both dead and living trees were sampled (2970 dead and 4224 living trees from 190 sites, including 36 species), and compared early and recent growth rates between trees that died and those that survived a given mortality event. We observed a decrease in radial growth before death in ca. 84% of the mortality events. The extent and duration of these reductions were highly variable (1-100 years in 96% of events) due to the complex interactions among study species and the source(s) of mortality. Strong and long?lasting declines were found for gymnosperms, shade? and drought?tolerant species, and trees that died from competition. Angiosperms and trees that died due to biotic attacks (especially bark?beetles) typically showed relatively small and short?term growth reductions. Our analysis did not highlight any universal trade-off between early growth and tree longevity within a species, although this result may also reflect high variability in sampling design among sites. The intersite and interspecific variability in growth patterns before mortality provides valuable information on the nature of the mortality process, which is consistent with our understanding of the physiological mechanisms leading to mortality. Abrupt changes in growth immediately before death can be associated with generalized hydraulic failure and/or bark?beetle attack, while long?term decrease in growth may be associated with a gradual decline in hydraulic performance coupled with depletion in carbon reserves. Our results imply that growth?based mortality algorithms may be a powerful tool for predicting gymnosperm mortality induced by chronic stress, but not necessarily so for angiosperms and in case of intense drought or bark?beetle outbreaks.
Tárgyszavak:	Természettudományok Biológiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk angiosperms death drought growth gymnosperms pathogens ring-width tree mortality
Megjelenés:	Global Change Biology. - 23 : 4 (2017), p. 1675-1690. -
További szerzők:	Jansen, Steven Robert, Elisabeth M. R. Desoto, Lucía Aakala, Tuomas Antos, Joseph A. Beikircher, Barbara Bigler, Christof Bugmann, Harald Caccianiga, Marco Čada, Vojtěch Camarero, Jesús Julio Cherubini, Paolo Cochard, Hervé Coyea, Marie R. Čufar, Katarina Das, Adrian J. Davi, Hendrik Delzon, Sylvain Dorman, Michael Gea-Izquierdo, Guillermo Gillner, Sten Haavik, Laurel J. Hartmann, Henrik Hereş, Ana-Maria Hultine, Kevin R. Janda, Pavel Kane, Jeffrey M. Kharuk, Vyacheslav I. Kitzberger, Thomas Klein, Tamir Kramer, Koen Lens, Frederic Levanic, Tom Linares Calderon, Juan C. Lloret, Francisco Lobo-Do-Vale, Raquel Lombardi, Fabio López Rodríguez, Rosana Mäkinen, Harri Mayr, Stefan Mészáros Ilona (1952-) (biológus) Metsaranta, Juha M. Minunno, Francesco Oberhuber, Walter Papadopoulos, Andreas Peltoniemi, Mikko Petritan, Any M. Rohner, Brigitte Sangüesa-Barreda, Gabriel Sarris, Dimitrios Smith, Jeremy M. Stan, Amanda B. Sterck, Frank Stojanović, Dejan B. Suarez, María Laura Svoboda, Miroslav Tognetti, Roberto Torres-Ruiz, José M. Trotsiuk, Volodymyr Villalba, Ricardo Vodde, Floor Westwood, Alana R. Wyckoff, Peter H. Zafirov, Nikolay Martínez-Vilalta, Jordi
Pályázati támogatás:	OTKA K101552 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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001-es BibID:	BIBFORM081338
Első szerző:	Cailleret, Maxime
Cím:	Towards a common methodology for developing logistic tree mortality models based on ring-width data / Maxime Cailleret, Christof Bigler, Harald Bugmann, Jesús Julio Camarero, Katarina Čufar, Hendrik Davi, Ilona Mészáros, Francesco Minunno, Mikko Peltoniemi, Elisabeth M. R. Robert, María Laura Suarez, Roberto Tognetti, Jordi Martínez-Vilalta
Dátum:	2016
ISSN:	1051-0761
Megjegyzések:	Tree mortality is a key process shaping forest dynamics. Thus, there is a growing need for indicators of the likelihood of tree death. During the last decades, an increasing number of tree-ring based studies have aimed to derive growth-mortality functions, mostly using logistic models. The results of these studies, however, are difficult to compare and synthesize due to the diversity of approaches used for the sampling strategy (number and characteristics of alive and death observations), the type of explanatory growth variables included (level, trend, etc.), and the length of the time window (number of years preceding the alive/death observation) that maximized the discrimination ability of each growth variable. We assess the implications of key methodological decisions when developing tree-ring based growth-mortality relationships using logistic mixed-effects regression models. As examples, we use published tree-ring datasets from Abies alba (13 different sites), Nothofagus dombeyi (one site), and Quercus petraea (one site). Our approach is based on a constant sampling size and aims at (1) assessing the dependency of growth-mortality relationships on the statistical sampling scheme used, (2) determining the type of explanatory growth variables that should be considered, and (3) identifying the best length of the time window used to calculate them. The performance of tree-ring-based mortality models was reasonably high for all three species (area under the receiving operator characteristics curve, AUC > 0.7). Growth level variables were the most important predictors of mortality probability for two species (A. alba, N. dombeyi), while growth-trend variables need to be considered for Q. petraea. In addition, the length of the time window used to calculate each growth variable was highly uncertain and depended on the sampling scheme, as some growth-mortality relationships varied with tree age. The present study accounts for the main sampling-related biases to determine reliable species-specific growth-mortality relationships. Our results highlight the importance of using a sampling strategy that is consistent with the research question. Moving towards a common methodology for developing reliable growth-mortality relationships is an important step towards improving our understanding of tree mortality across species and its representation in dynamic vegetation models.
Tárgyszavak:	Természettudományok Biológiai tudományok idegen nyelvű folyóiratközlemény külföldi lapban folyóiratcikk growth-mortality relationship logistic model sampling survival tree mortality tree ring Abies alba Nothofagus dombeyi Quercus petraea
Megjelenés:	Ecological Applications. - 26 : 6 (2016), p. 1827-1841. -
További szerzők:	Bigler, Christof Bugmann, Harald Camarero, Jesús Julio Čufar, Katarina Davi, Hendrik Mészáros Ilona (1952-) (biológus) Minunno, Francesco Peltoniemi, Mikko Robert, Elisabeth M. R. Suarez, María Laura Tognetti, Roberto Martínez-Vilalta, Jordi
Pályázati támogatás:	OTKA-K68397 OTKA OTKA-K101552 OTKA
Internet cím:	Szerző által megadott URL DOI Intézményi repozitóriumban (DEA) tárolt változat
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