Resultats globals: 4 registres trobats en 0.03 segons.
Articles, 4 registres trobats
Articles 4 registres trobats  
1.
A global method for calculating plant CSR ecological strategies applied across biomes world-wide / Pierce, Simon (Università degli Studi di Milano. Dipartimento di Scienze Agrarie e Ambientali) ; Negreiros, Daniel (Universidade Federal de Minas Gerais) ; Cerabolini, Bruno E. L. (Università degli Studi dell’Insubria. Dipartimento di Scienze Teoriche e Applicate) ; Kattge, Jens (Max Planck Institute for Biogeochemistry) ; Díaz, Sandra (Universidad Nacional de Córdoba e IMBIV-CONICET (Instituto Multidisciplinario de Investigaciones Científicas y Técnicas)) ; Kleyer, Michael (Oldenburg Universität. Fachbereich Biologie, Erd- und Umweltwissenschaften) ; Shipley, Bill (Université de Sherbrooke. Département de Biologie) ; Wright, Stuart Joseph (Smithsonian Tropical Research Institute (Panamà)) ; Soudzilovskaia, Nadejda A. (Universiteit Leiden. Centrum voor Milieuwetenschappen) ; Onipchenko, Vladimir G. (Moskovskiĭ gosudarstvennyĭ universitet im. M. V. Lomonosova) ; Van Bodegom, Peter (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen) ; Frenette-Dussault, Cedric (Université de Sherbrooke. Département de Biologie) ; Weiher, Evan (University of Wisconsin. Department of Biology) ; Pinho, Bruno X. (Universidade Federal de Pernambuco. Departamento de Botânica) ; Cornelissen, Johannes H. C. (Vrije Universiteit Amsterdam. Deptartment of Ecological Science) ; Grime, John Philip (University of Sheffield. Department of Animal and Plant Sciences) ; Thompson, Ken (University of Sheffield. Department of Animal and Plant Sciences) ; Hunt, Roderick (University of Exeter (Gran Bretanya). College of Life and Environmental Sciences) ; Wilson, Peter J. (University of Sheffield. Department of Animal and Plant Sciences) ; Buffa, Gabriella (Università Ca'Foscari Venezia. Dipartimento di Scienze Ambientali, Informatica e Statistica) ; Nyakunga, Oliver C. (Università Ca'Foscari Venezia. Dipartimento di Scienze Ambientali, Informatica e Statistica) ; Reich, Peter B. (University of Minnesota. Department of Forest Resources) ; Caccianiga, Marco (Università degli Studi di Milano. Dipartimento di Bioscienze) ; Mangili, Federico (Università degli Studi di Milano. Dipartimento di Bioscienze) ; Ceriani, Roberta M. (Centro Flora Autoctona) ; Luzzaro, Alessandra (Università degli Studi di Milano. Dipartimento di Scienze Agrarie e Ambientali) ; Brusa, Guido (Università degli Studi dell’Insubria. Dipartimento di Scienze Teoriche e Applicate) ; Siefert, Andrew (University of California, Department of Evolution and Ecology) ; Barbosa, Newton P. U. (Universidade Federal de Minas Gerais) ; III, Francis Stuart Chapin (University of Alaska Fairbanks. Department of Biology and Wildlife) ; Cornwell, William K. (University of New South Wales. School of Biological, Earth and Environmental Sciences) ; Jingyun, Fang (Zhongguo ke xue yuan. Institute of Botany) ; Fernandes, Geraldo Wilson (Universidade Federal de Minas Gerais) ; Garnier, Eric (Centre national de la recherche scientifique (França). Centre d’Écologie Fonctionnelle et Évolutive) ; Le Stradic, Soizig (Université de Liège (Bèlgica). Gembloux Agro-Bio Tech) ; Melo, Felipe P. L. (Universidade Federal de Pernambuco. Departamento de Botânica) ; Slaviero, Antonio (Università Ca'Foscari Venezia. Dipartimento di Scienze Ambientali, Informatica e Statistica) ; Tabarelli, Marcelo (Universidade Federal de Pernambuco. Departamento de Botânica) ; Tampucci, Duccio (Università degli Studi di Milano. Dipartimento di Bioscienze) ; Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia)
1. Competitor, stress-tolerator, ruderal (CSR) theory is a prominent plant functional strategy scheme previously applied to local floras. Globally, the wide geographic and phylogenetic coverage of available values of leaf area (LA), leaf dry matter content (LDMC) and specific leaf area (SLA) (representing, respectively, interspecific variation in plant size and conservative vs. [...]
2017 - 10.1111/1365-2435.12722
Functional ecology, Vol. 31, issue 2 (Feb. 2017) , p. 444-457  
2.
Predicting habitat affinities of plant species using commonly measured functional traits / Shipley, Bill (Université de Sherbrooke. Département de Biologie) ; Belluau, Michael (Université de Sherbrooke. Département de Biologie) ; Kühn, Ingolf (UFZ-Helmholtz Centre for Environmental Research. Department of Community Ecology) ; Soudzilovskaia, Nadejda A. (Universiteit Leiden. Centrum voor Milieuwetenschappen) ; Bahn, Michael (Universität Innsbruck. Institut für Ökologie) ; Penuelas, Josep (Centre de Recerca Ecològica i Aplicacions Forestals) ; Kattge, Jens (Max Planck Institute for Biogeochemistry) ; Sack, Lawren (University of California. Department of Ecology and Evolutionary Biology) ; Cavender-Bares, Jeannine (University of Minnesota. Department of Ecology, Evolution and Behavior) ; Ozinga, Wim A. (Wageningen University. Team Vegetation, Forest and Landscape Ecology) ; Blonder, Benjamin (University of Oxford. Environmental Change Institute) ; Van Bodegom, Peter M. (Universiteit Leiden. Centrum voor Milieuwetenschappen) ; Manning, Peter (Senckenberg Biodiversität und Klima Forschungszentrum (SBIK-F)) ; Hickler, Thomas (Senckenberg Biodiversität und Klima Forschungszentrum (SBIK-F)) ; Sosinski, Enio (Embrapa Clima Temperado) ; De Patta Pillar, Valerio (Universidade Federal do Rio Grande do Sul. Departmento de Ecologia) ; Onipchenko, Vladimir (Universität Regensburg) ; Poschlod, Peter (Universität Regensburg)
Questions: Heinz Ellenberg classically defined “indicator” scores for species representing their typical positions along gradients of key environmental variables, and these have proven very useful for designating ecological distributions. [...]
2017 - 10.1111/jvs.12554
Journal of vegetation science, Vol. 28, issue 5 (Sep. 2017) , p. 1082-1095
2 documents
3.
19 p, 2.1 MB Geothermal ecosystems as natural climate change experiments : the ForHot research site in Iceland as a case study / Sigurdsson, Djarni D. (Agricultural University of Iceland) ; Leblans, Niki I. W. (Agricultural University of Iceland) ; Dauwe, Steven (Agricultural University of Iceland) ; Guðmundsdóttir, Elín (Náttúrustofa Norðausturlands) ; Gundersen, Per (Københavns universitet. Institut for Geovidenskab of Naturforvaltning) ; Gunnarsdóttir, Gunnhildur E. (Agricultural University of Iceland) ; Holmstrup, Martin (Aarhus Universitet. Institut for Bioscience. Jordfaunaøkologi og økotoksikologi) ; Ilieva-Makulec, Krassimira (Uniwersytet Warszawski. Instytut Ekologii i Bioetyki) ; Kätterer, Thomas (Swedish University of Agricultural Sciences. Department of Ecology) ; Marteinsdóttir, Bryndís (University of Iceland. Institute of Life and Environmental Sciences) ; Maljanen, Marja (Itä-Suomen yliopisto) ; Oddsdóttir, Edda S. (Icelandic Forest Research) ; Ostonen, Ivika (Tartu Ülikool) ; Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ; Poeplau, Christopher (Institut für Agrarklimaschutz) ; Richter, Andreas (Universität Wien. Institut für Mikrobiologie und Ecosystem Wissenschaft) ; Sigurðsson, Páll (Agricultural University of Iceland) ; Van Bodegom, Peter (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen) ; Wallander, Håkan (Lunds universitet. Biologiska institutionen) ; Weedon, James (Vrije Universiteit Amsterdam. Department of Ecological Science) ; Janssens, Ivan A. (Universiteit Antwerpen. Departement Biologie)
This article describes how natural geothermal soil temperature gradients in Iceland have been used to study terrestrial ecosystem responses to soil warming. The experimental approach was evaluated at three study sites in southern Iceland; one grassland site that has been warm for at least 50 years (GO), and another comparable grassland site (GN) and a Sitka spruce plantation (FN) site that have both been warmed since an earthquake took place in 2008. [...]
2016 - 10.16886/IAS.2016.05
Icelandic agricultural science, Vol 29 (2016) , p. 53-71  
4.
26 p, 4.4 MB Improved representation of plant functional types and physiology in the Joint UK Land Environment Simulator (JULES v4.2) using plant trait information / Harper, Anna B. (University of Exeter. College of Engineering, Mathematics, and Physical Science) ; Cox, Peter M. (University of Exeter. College of Engineering, Mathematics, and Physical Science) ; Friedlingstein, Pierre (University of Exeter. College of Engineering, Mathematics and Physical Sciences) ; Wiltshire (Great Britain. Meteorological Office) ; Jones, Chris D. (Great Britain. Meteorological Office) ; Sitch, Stephen (University of Exeter. College of Life and Environmental Sciences) ; Mercado, Lina M. (University of Exeter. College of Life and Environmental Sciences) ; Groenendijk, Margriet (University of Exeter. College of Life and Environmental Sciences) ; Robertson, Eddy (Great Britain. Meteorological Office) ; Kattge, Jens (Max Planck Institute for Biogeochemistry) ; Bönisch, G. (Max-Planck-Institut für Biogeochemie) ; Atkin, Owen K. (Australian National University. Research School of Biology) ; Bahn, Michael (Universität Innsbruck. Institut für Ökologie) ; Cornelissen, Johannes (Vrije Universiteit Amsterdam. Deptartment of Ecological Science) ; Niinemets, Ülo (Eesti Teaduste Akadeemia) ; Onipchenko, Vladimir (Moskovskiĭ gosudarstvennyĭ universitet im. M.V. Lomonosova) ; Peñuelas, Josep (Universitat Autònoma de Barcelona. Departament de Biologia Animal, de Biologia Vegetal i d'Ecologia) ; Poorter, Lourens (Wageningen University. Forest Ecology and Forest Management Group) ; Reich, Peter B. (University of Minnesota. Department of Forest Resources) ; Soudzilovskaia, Nadjeda A. (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen) ; Van Bodegom, Peter (Rijksuniversiteit te Leiden. Centrum voor Milieuwetenschappen)
Dynamic global vegetation models are used to predict the response of vegetation to climate change. They are essential for planning ecosystem management, understanding carbon cycle–climate feedbacks, and evaluating the potential impacts of climate change on global ecosystems. [...]
2016 - 10.5194/gmd-9-2415-201
Geoscientific model development, Vol. 9 (2016) , p. 2415-2440  

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