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Global trait–environment relationships of plant communities ArchiMer
Bruelheide, Helge; Dengler, Juergen; Purschke, Oliver; Lenoir, Jonathan; Jimenez-alfaro, Borja; Hennekens, Stephan M.; Botta-dukat, Zoltan; Chytry, Milan; Field, Richard; Jansen, Florian; Kattge, Jens; Pillar, Valerio D.; Schrodt, Franziska; Mahecha, Miguel D.; Peet, Robert K.; Sandel, Brody; Van Bodegom, Peter; Altman, Jan; Alvarez-davila, Esteban; Khan, Mohammed A. S. Arfin; Attorre, Fabio; Aubin, Isabelle; Baraloto, Christopher; Barroso, Jorcely G.; Bauters, Marijn; Bergmeier, Erwin; Biurrun, Idoia; Bjorkman, Anne D.; Blonder, Benjamin; Carni, Andraz; Cayuela, Luis; Cerny, Tomas; Cornelissen, J. Hans C.; Craven, Dylan; Dainese, Matteo; Derroire, Geraldine; De Sanctis, Michele; Diaz, Sandra; Dolezal, Jiri; Farfan-rios, William; Feldpausch, Ted R.; Fenton, Nicole J.; Garnier, Eric; Guerin, Greg R.; Gutierrez, Alvaro G.; Haider, Sylvia; Hattab, Tarek; Henry, Greg; Herault, Bruno; Higuchi, Pedro; Hoelzel, Norbert; Homeier, Juergen; Jentsch, Anke; Juergens, Norbert; Kacki, Zygmunt; Karger, Dirk N.; Kessler, Michael; Kleyer, Michael; Knollova, Ilona; Korolyuk, Andrey Y.; Kuehn, Ingolf; Laughlin, Daniel C.; Lens, Frederic; Loos, Jacqueline; Louault, Frederique; Lyubenova, Mariyana, I; Malhi, Yadvinder; Marceno, Corrado; Mencuccini, Maurizio; Mueller, Jonas, V; Munzinger, Jerome; Myers-smith, Isla H.; Neill, David A.; Niinemets, Ulo; Orwin, Kate H.; Ozinga, Wim A.; Penuelas, Josep; Perez-haase, Aaron; Petrik, Petr; Phillips, Oliver L.; Partel, Meelis; Reich, Peter B.; Roemermann, Christine; Rodrigues, Arthur, V; Sabatini, Francesco Maria; Sardans, Jordi; Schmidt, Marco; Seidler, Gunnar; Silva Espejo, Javier Eduardo; Silveira, Marcos; Smyth, Anita; Sporbert, Maria; Svenning, Jens-christian; Tang, Zhiyao; Thomas, Raquel; Tsiripidis, Ioannis; Vassilev, Kiril; Violle, Cyrille; Virtanen, Risto; Weiher, Evan; Welk, Erik; Wesche, Karsten; Winter, Marten; Wirth, Christian; Jandt, Ute.
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Ano: 2018 URL: https://archimer.ifremer.fr/doc/00469/58091/60553.pdf
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Reply to: "Global conservation of phylogenetic diversity captures more than just functional diversity" ArchiMer
Mazel, Florent; Pennell, Matthew W.; Cadotte, Marc W.; Diaz, Sandra; Dalla Riva, Giulio Valentino; Grenyer, Richard; Leprieur, Fabien; Mooers, Arne O.; Mouillot, David; Tucker, Caroline M.; Pearse, William D..
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Ano: 2019 URL: https://archimer.ifremer.fr/doc/00626/73772/75175.pdf
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Prioritizing phylogenetic diversity captures functional diversity unreliably ArchiMer
Mazel, Florent; Pennell, Matthew W.; Cadotte, Marc W.; Diaz, Sandra; Dalla Riva, Giulio Valentino; Grenyer, Richard; Leprieur, Fabien; Mooers, Arne O.; Mouillot, David; Tucker, Caroline M.; Pearse, William D..
In the face of the biodiversity crisis, it is argued that we should prioritize species in order to capture high functional diversity (FD). Because species traits often reflect shared evolutionary history, many researchers have assumed that maximizing phylogenetic diversity (PD) should indirectly capture FD, a hypothesis that we name the "phylogenetic gambit". Here, we empirically test this gambit using data on ecologically relevant traits from >15,000 vertebrate species. Specifically, we estimate a measure of surrogacy of PD for FD. We find that maximizing PD results in an average gain of 18% of FD relative to random choice. However, this average gain obscures the fact that in over one-third of the comparisons, maximum PD sets contain less FD than...
Tipo: Text
Ano: 2018 URL: https://archimer.ifremer.fr/doc/00626/73780/74960.pdf
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Predictive systems ecology ArchiMer
Evans, Matthew R.; Bithell, Mike; Cornell, Stephen J.; Dall, Sasha R. X.; Diaz, Sandra; Emmott, Stephen; Ernande, Bruno; Grimm, Volker; Hodgson, David J.; Lewis, Simon L.; Mace, Georgina M.; Morecroft, Michael; Moustakas, Aristides; Murphy, Eugene; Newbold, Tim; Norris, K. J.; Petchey, Owen; Smith, Matthew; Travis, Justin M. J.; Benton, Tim G..
Human societies, and their well-being, depend to a significant extent on the state of the ecosystems that surround them. These ecosystems are changing rapidly usually in response to anthropogenic changes in the environment. To determine the likely impact of environmental change on ecosystems and the best ways to manage them, it would be desirable to be able to predict their future states. We present a proposal to develop the paradigm of predictive systems ecology, explicitly to understand and predict the properties and behaviour of ecological systems. We discuss the necessary and desirable features of predictive systems ecology models. There are places where predictive systems ecology is already being practised and we summarize a range of terrestrial and...
Tipo: Text Palavras-chave: Modelling; Systems ecology; Climate change; Ecosystem assessment.
Ano: 2013 URL: http://archimer.ifremer.fr/doc/00177/28816/27291.pdf
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