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ScienceDaily (Apr. 4, 2011) — An 18-year study of 27,000 individual trees by National Science Foundation (NSF)-funded scientists finds that tree growth and fecundity--the ability to produce viable seeds--are more sensitive to climate change than previously thought.

The results, published April 5 in the journal Global Change Biology, identify earlier spring warming as one of several factors that affect tree reproduction and growth.

They also show summer drought as an important but overlooked risk factor for tree survival, and that species in four types of trees--pine, elm,Microsoft Office Home And Student, beech, and magnolia--are especially vulnerable to climate change.

The findings may help scientists and policymakers better predict which species are vulnerable to climate change and why.

"In a sense, what we've done is an epidemiological study on trees to better understand how and why certain species, or demographics, are sensitive to variation and in what ways," says James Clark of Duke University, lead author of the paper.

To conduct the study, Clark and colleagues measured and recorded the growth, mortality and fecundity of each of your 27,000 trees at least once every three years, ultimately compiling an archive of more than 280,000 tree-years of data.

Using a specially designed bioinformatic analysis, they quantified the effects of climate change on tree species over time.

"This work demonstrates the limitations of current modeling approaches to predict which species are vulnerable to climate change and illustrates the importance of incorporating ecological factors such as species competition," says Alan Tessier, program director in NSF's Division of Environmental Biology, which funded the research.

The approach allowed the scientists to calculate the relative importance of various factors, alone and in combination, including the effects of localized variables such as competition with other trees for light, or the impact of summer drought.

"As climate continues to change, we know forests will respond," says Clark.

"The problem is, the models scientists have used to predict forest responses focus almost solely on spatial variation in tree species abundance--their distribution and density over geographic range."

If all trees of a species grew in the same conditions--the same light, moisture, soil and competition for resources--this generalized, species-wide spatial analysis might suffice, Clark says.

Then scientists wouldn't will need to worry about demographic variables and risk factors when trying to predict biodiversity losses due to climate change.

"But in the real world, we do," Clark says. "That's where the new concept of climate and resource tracking of demographic rates comes in.

"Trees are much more sensitive to climate variation than can be interpreted from regional climate averages."

The trees studied included 40 species,Office Enterprise 2007 Key, located in eleven different forest stands in three geographic regions from the Southeast--the southern Appalachians, the Piedmont and the coastal plain.

They were subjected to both natural and experimental variations.

"By quantifying the effects and relative importance of competition [between species] and climate variables," says Clark,Office 2010 Key Sale, "including impacts on fecundity, over both time and space, the model we've developed addresses this require and can be used to guide planning."

Clark's co-authors are Duke University doctoral student David Bell and research associate Lauren Nicholas, and Michelle Hersh, a postdoctoral researcher at Bard College and the Cary Institute of Ecosystem Studies.

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The above tale is reprinted (with editorial adaptations by ScienceDaily staff) from materials provided by National Science Foundation.
Journal Reference:
James S. Clark, David M. Bell, Michelle H. Hersh, Lauren Nichols. Climate change vulnerability of forest biodiversity: climate and competition tracking of demographic rates. Global Change Biology,Office 2007 Ultimate Product Key, 2011; 17 (5): 1834 DOI: 10.1111/j.1365-2486.2010.02380.x
Disclaimer: Views expressed in this article do not necessarily reflect those of ScienceDaily or its staff.

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