The relative importance of biotic and abiotic processes for structuring plant communities through time. (21st January 2015)

• Record Type: Journal Article
• Authors: Jeffers, Elizabeth S.; Bonsall, Michael B.; Froyd, Cynthia A.; Brooks, Stephen J.; Willis, Katherine J.; McGlone, Matt
• Is Part Of: Journal of ecology. Volume 103:Number 2(2015:Mar.)
• Page Start: 459
• Page End: 472
• Publication Date: 2015-01-21
• Subjects: Plant ecology -- Periodicals; 577.05
• DOI: 10.1111/1365-2745.12365
• Languages: English
• ISSNs: 0022-0477

Abstract

<abstract abstract-type="main" id="jec12365-abs-0001"> <title>Summary</title> <p> <list id="jec12365-list-0001" list-type="order"> <list-item> <p>The question of the relative importance of biotic interactions versus abiotic drivers for structuring plant communities is highly debated but largely unresolved. Here, we investigate the relative importance of mean July air temperature, nitrogen (N) availability and direct plant interactions in determining the millennial‐scale population dynamics through the Holocene (10 700–5200 cal. years <sc>bp</sc>) for four temperate tree taxa in the Scottish Highlands.</p> </list-item> <list-item> <p>A variety of dynamic population models were fitted to our palaeoecological time‐series data to determine the mechanism(s) by which each driver affected the population biomass dynamics of <italic>Betula</italic> (birch), <italic>Pinus</italic> (pine), <italic>Alnus</italic> (alder) and <italic>Quercus</italic> (oak). Akaike information criterion weights identified the best model(s) for describing the relationship between each population and driver. The relative importance of these drivers was then assessed by the ability of each model to predict the observed population biomass dynamics. We also measured the change in goodness‐of‐fit of each model over time.</p> </list-item> <list-item> <p>We found that models of intra‐ and interspecific plant interactions described the plant population dynamics better than temperature‐ or N‐dependent population growth models over the 5000‐year study period. The best‐fitting models were constant over time for pine, alder and oak. However, the plant–N availability and plant–temperature models provided a progressively better fit to the birch data when temperatures rose and N availability declined, suggesting increasing importance of these abiotic factors coincident with changing conditions.</p> </list-item> <list-item> <p> <italic>Synthesis</italic>. Multiple mechanistic models were applied to palaeoecological data to infer the most likely processes driving millennial‐scale plant biomass dynamics in a woodland ecosystem. Direct plant interactions provided a better explanation for population biomass dynamics than growing season temperature or N availability over the full study period. The relative importance of all drivers we assessed here varied by species and – in the case of birch – over time in response to warming and reduced N availability.</p> </list-item> </list> </p> </abstract>