Vegetation and the terrestrial carbon cycle : modelling the first 400 million years / / D.J. Beerling & F.I. Woodward

• Record Nr.: UNINA9910820956703321
• Autore: Beerling D. J
• Pubbl/distr/stampa: Cambridge, : Cambridge University Press, 2001
• ISBN: 1-107-12290-2; 1-280-43315-9; 0-511-15475-5; 0-511-17473-X; 0-511-04772-X; 9786610433155; 0-511-54194-5; 0-511-30373-4
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (x, 405 pages) : digital, PDF file(s)
• Altri autori (Persone): WoodwardF. I
• Disciplina: 577.144015118
• Soggetti: Carbon cycle (Biogeochemistry) - Mathematical models; Plant ecology - Mathematical models; Paleoclimatology - Mathematical models
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 05 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Acknowledgements -- Preface -- Introduction -- Investigating the past from the present -- Climate and terrestrial vegetation of the present -- The global climate system and terrestrial carbon cycle -- The late Carboniferous -- The Jurassic -- The Cretaceous -- The Eocene -- The late Quaternary -- Climate and terrestrial vegetation in the future -- Endview -- References -- Index.
• Sommario/riassunto: Plants have colonised and modified the World's surface for the last 400 million years. In this book the authors demonstrate that an understanding of the role of vegetation in the terrestrial carbon cycle during this time can be gained by linking the key mechanistic elements of present day vegetation processes to models of the global climate during different geological eras. The resulting interactive simulations of climate and vegetation processes tie in with observable geological data, ; such as the distributions of coals and evaporites, supporting the validity of the authors' approach. Simulation of possible conditions in future centuries are also presented, providing valuable predictions of the status of the Earth's vegetation and carbon cycle at a time of global warming.