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    Author(s): Ronald P. Neilson; Louis F. Pitelka; Allen M. Solomon; Ran Nathan; Guy F. Midgley; Jóse M. Fragoso; Heike Lischke; Ken Thompson
    Date: 2005
    Source: Bioscience. 55(9): 749-759
    Publication Series: Scientific Journal (JRNL)
    PDF: Download Publication  (2.34 MB)


    The rate of future climate change is likely to exceed the migration rates of most plant species. The replacement of dominant species by locally rare species may require decades, and extinctions may occur when plant species cannot migrate fast enough to escape the consequences of climate change. Such lags may impair ecosystem services, such as carbon sequestration and clean waterproduction. Thus, to assess global change, simulation of plant migration and local vegetation change by dynamic global vegetation models (DGVMs) is critical, yet fraught with challenges. Global vegetation models cannot simulate all species, necessitating their aggregation into plant functional types (PFTs). Yet most PFTs encompass the full spectrum of migration rates. Migration processes span scales of time and space far beyond what can be confidently simulated in DGVMs. Theories about climate change and migration are limited by inadequate data for key processes at short and long time scales and at small and large spatial scales. These theories must be enhanced to incorporate species-level migration and succession processes into a more comprehensive definition of PFTs.

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    Neilson, Ronald P.; Pitelka, Louis F.; Solomon, Allen M.; Nathan, Ran; Midgley, Guy F.; Fragoso, Jóse M.; Lischke, Heike; Thompson, Ken. 2005. Forecasting regional to global plant migration in response to climate change. Bioscience. 55(9): 749-759


    climate change, dispersal, migration, long-distance dispersal, dynamic global vegetation models

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