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Seeing The Tree From The Forest: Predicting The Future Of Plant Communities
ScienceDaily (Aug. 21, 2009) — The ability to envisage the future may be closer than you would think. A recent paper by Sean Hammond and Karl Niklas in the August 2009 issue of the American Journal of Botany presents an algorithm that may be used to predict the future dynamics of plant communities, an increasingly interesting area of study as significant environmental changes, such as global climate change and invasive species, are affecting current plant communities.
See also:
Plants & Animals
* Endangered Plants
* Botany
Earth & Climate
* Exotic Species
* Ecology
Computers & Math
* Computer Modeling
* Communications
Reference
* Ecological succession
* Seed predation
* Vegetation
* Deciduous
Similar ecological factors, such as nutrient availability and habitat stability, play a role in the growth and development of both an individual plant and a community of plants, like a forest; however, the length of time that these factors effect change differs between individual plants that may live for decades and plant communities that may exist for thousands of years. A goal of plant ecology has been to find ways to predict plant behavior in communities based on observed properties of a few representative members.
Hammond and Niklas have developed an algorithm—spatially explicit, reiterative algorithm, or SERA—that explores whether changes occurring in plant communities, such as self-thinning and the competitive displacement of one species by another, can be attributed to the characteristics of the individual plants that comprise the community.
"Our model predicts how a plant population or community will behave when plant-plant interactions are predicated exclusively on the constraints imposed by a few physical principles and by competition for physical space and light," stated Dr. Niklas.
Recent empirical studies have shown that a variety of plant communities in different environments exhibit some of the same size-dependent and age-dependent trends. One example is the relationship between the mass of tree canopies and the diameter of the tree trunks. In the simulations of plant growth within a community performed by SERA, various trends emerged as a result of competition for light and space among the individual plants, and these trends are in agreement with the trends found empirically in plant populations.
Other results of SERA simulations were also found to be in agreement with empirical data. Although a few million years late, SERA predicted that angiosperms would outcompete gymnosperms as the dominant land plants, and it was able to accurately predict the age at which a variety of plant species would reach reproductive maturity.
"Remarkably, our model predicts the behavior of real plant populations, and thus suggests to us that many 'complex' ecological interactions emerge as a result of a few very 'simple' processes," commented Dr. Niklas. SERA may be very useful in predicting changes in community development and composition as environmental and climatic variability increases.
Journal reference:
1. Hammond, Sean T., Niklas, Karl J. Emergent properties of plants competing in silico for space and light: Seeing the tree from the forest. American Journal of Botany, 2009; 96 (8): 1430 DOI: 10.3732/ajb.0900063
Adapted from materials provided by American Journal of Botany, via EurekAlert!, a service of AAAS.
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American Journal of Botany (2009, August 21). Seeing The Tree From The Forest: Predicting The Future Of Plant Communities. ScienceDaily. Retrieved August 24, 2009, from http://www.sciencedaily.com /releases/2009/08/090821135026.htm
enlarge
Numerous complex mathematical theories have been proposed to explain why annual growth rates of plants scale as the 3/4 power of total body mass, why total leaf mass per plant scales as the square of trunk diameter, and why a host of other widely reported ecological phenomena occur. In the August issue of the American Journal of Botany, Hammond and Niklas unveil a new computer model, called SERA (for spatially explicit reiterative algorithm), which accurately predicts these and many other scaling relationships as plants are forced to conform mathematically to a few very simple physical principles while they compete for light and space. In each SERA simulation, tree canopies are depicted as thinshelled hemispheres and trunks are modeled as simple, untapered cylinders that increase in girth as simulated plants age. A hypothetical landscape is randomly seeded with a specified number of propagules and monitored during every growing season to assess biomass- and age-dependent allometric relationships. A graphic module allows a population or community to be observed at any stage in its growth as old plants die and new ones propagate. In this image, the observer is standing at ground level and looking up into a forest composed of a single species mathematically modeled to mimic the allometry of a population of Abies alba. (Credit: Sean T. Hammond)
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Applying Ecological Laws To Bacteria (Aug. 2, 2005) — Researchers have obtained further evidence that one of the oldest biological laws can also be applied to bacteria living in the sump tank reservoirs of machines in an engineering workshop in Oxford, ... > read more
Pollination Networks Key To Ecosystem Sustainability (Jan. 4, 2006) — Manipulating plant and pollinator communities provides experimental evidence that the persistence of a plant community can be affected by a loss of diversity among its pollinating fauna, according to ... > read more
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Seeing The Tree From The Forest: Predicting The Future Of Plant Communities
ScienceDaily (Aug. 21, 2009) — The ability to envisage the future may be closer than you would think. A recent paper by Sean Hammond and Karl Niklas in the August 2009 issue of the American Journal of Botany presents an algorithm that may be used to predict the future dynamics of plant communities, an increasingly interesting area of study as significant environmental changes, such as global climate change and invasive species, are affecting current plant communities.
See also:
Plants & Animals
* Endangered Plants
* Botany
Earth & Climate
* Exotic Species
* Ecology
Computers & Math
* Computer Modeling
* Communications
Reference
* Ecological succession
* Seed predation
* Vegetation
* Deciduous
Similar ecological factors, such as nutrient availability and habitat stability, play a role in the growth and development of both an individual plant and a community of plants, like a forest; however, the length of time that these factors effect change differs between individual plants that may live for decades and plant communities that may exist for thousands of years. A goal of plant ecology has been to find ways to predict plant behavior in communities based on observed properties of a few representative members.
Hammond and Niklas have developed an algorithm—spatially explicit, reiterative algorithm, or SERA—that explores whether changes occurring in plant communities, such as self-thinning and the competitive displacement of one species by another, can be attributed to the characteristics of the individual plants that comprise the community.
"Our model predicts how a plant population or community will behave when plant-plant interactions are predicated exclusively on the constraints imposed by a few physical principles and by competition for physical space and light," stated Dr. Niklas.
Recent empirical studies have shown that a variety of plant communities in different environments exhibit some of the same size-dependent and age-dependent trends. One example is the relationship between the mass of tree canopies and the diameter of the tree trunks. In the simulations of plant growth within a community performed by SERA, various trends emerged as a result of competition for light and space among the individual plants, and these trends are in agreement with the trends found empirically in plant populations.
Other results of SERA simulations were also found to be in agreement with empirical data. Although a few million years late, SERA predicted that angiosperms would outcompete gymnosperms as the dominant land plants, and it was able to accurately predict the age at which a variety of plant species would reach reproductive maturity.
"Remarkably, our model predicts the behavior of real plant populations, and thus suggests to us that many 'complex' ecological interactions emerge as a result of a few very 'simple' processes," commented Dr. Niklas. SERA may be very useful in predicting changes in community development and composition as environmental and climatic variability increases.
Journal reference:
1. Hammond, Sean T., Niklas, Karl J. Emergent properties of plants competing in silico for space and light: Seeing the tree from the forest. American Journal of Botany, 2009; 96 (8): 1430 DOI: 10.3732/ajb.0900063
Adapted from materials provided by American Journal of Botany, via EurekAlert!, a service of AAAS.
Email or share this story:
| More
Need to cite this story in your essay, paper, or report? Use one of the following formats:
APA
MLA
American Journal of Botany (2009, August 21). Seeing The Tree From The Forest: Predicting The Future Of Plant Communities. ScienceDaily. Retrieved August 24, 2009, from http://www.sciencedaily.com /releases/2009/08/090821135026.htm
enlarge
Numerous complex mathematical theories have been proposed to explain why annual growth rates of plants scale as the 3/4 power of total body mass, why total leaf mass per plant scales as the square of trunk diameter, and why a host of other widely reported ecological phenomena occur. In the August issue of the American Journal of Botany, Hammond and Niklas unveil a new computer model, called SERA (for spatially explicit reiterative algorithm), which accurately predicts these and many other scaling relationships as plants are forced to conform mathematically to a few very simple physical principles while they compete for light and space. In each SERA simulation, tree canopies are depicted as thinshelled hemispheres and trunks are modeled as simple, untapered cylinders that increase in girth as simulated plants age. A hypothetical landscape is randomly seeded with a specified number of propagules and monitored during every growing season to assess biomass- and age-dependent allometric relationships. A graphic module allows a population or community to be observed at any stage in its growth as old plants die and new ones propagate. In this image, the observer is standing at ground level and looking up into a forest composed of a single species mathematically modeled to mimic the allometry of a population of Abies alba. (Credit: Sean T. Hammond)
Ads by Google
Advertise here
PhytoTechnology Labs
Plant Tissue Culture Media/Supplies Unmatched quality, service & prices
www.phytotechlab.eu
Pericole sexuale
Lipsa de informare poate duce la deces. Afla mai mult!
www.informarehpv.ro
USED Astec Asphalt Plant
12000# Complete w/ tanks, rap, BH Coldfeed, Controls ...GREAT BUY!
www.crossroadsequipment.net
Crusher Machines Plant
Crusher mining, quarry, spare parts ROC IMPACT - French Company
www.concasseur.com
Levemir®
Info for health care professionals on Levemir® and reduced weight gain
www.NovoNordisk.com
Related Stories
Applying Ecological Laws To Bacteria (Aug. 2, 2005) — Researchers have obtained further evidence that one of the oldest biological laws can also be applied to bacteria living in the sump tank reservoirs of machines in an engineering workshop in Oxford, ... > read more
Pollination Networks Key To Ecosystem Sustainability (Jan. 4, 2006) — Manipulating plant and pollinator communities provides experimental evidence that the persistence of a plant community can be affected by a loss of diversity among its pollinating fauna, according to ... > read more
Squeezing Out Dune Plants: Coastal Erosion, Global Sea-level Rise, And The Loss Of Sand Dune Plant Habitats (Sep. 23, 2005) — Researchers from Texas A&M University created a model to better understand the impacts of development and coastal erosion on plant communities, including plants that grow in the ever-shrinking ... > read more
Aquatic Plants May Hold Key To Advancing Plant Disease Management (July 13, 2005) — The way aquatic plants respond to plant disease and climate change may have applications for managing land-based agriculture, say plant pathologists with The American Phytopathological Society ... > read more
Species Extinction Could Reduce Productivity Of Plants On Earth By Half (Nov. 6, 2007) — A new analysis shows that as plant species around the world go extinct, natural habitats become less productive and contain fewer total plants -- a situation that could ultimately compromise ... > read more
Search ScienceDaily
Number of stories in archives: 44,032
Find with keyword(s):
Enter a keyword or phrase to search ScienceDaily's archives for related news topics,
the latest news stories, reference articles, science videos, images, and books.
Ads by Google
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Int. Diabetes Monitor
A free online review journal on trends in clinical diabetes.
InternationalDiabetesMonitor.com
Hydrogenation Reactor
High performance reactor technology Safe scale-up. Worldwide supply
www.biazzi.com
4th BTLtec 2009
Biomass to Liquids Forum 24-25 September Graz Austria
www.cmtevents.com
Just In:
Lightning's Mirror Image ... Only Much Bigger
Using Light To Teach Magnets New Tricks
Microchip Does 1,000 Chemical Reactions At Once
Naming Evolution's Winners And Losers
Inner 'Fingerprint' For Personal Medical Care
Why Sleep? To Boost Efficiency, Minimize Risk
Ultrathin LEDs: New Class Of Displays
Oxycholesterol: Greatest Heart Disease Risk?
Oxycholesterol: Greatest Heart Disease Risk?
Science Video News
Our Changing Climate
Geographers have projected temperature increases due to greenhouse gas emissions to reach a not-so-chilling conclusion: climate zones will shift and. ... > full story
* Environmental Scientists Find Tree Combo For Carbon Sequestration
* Climate Change Researchers Ask Amateur Botanists To Record Signs Of Spring
* Horticulture Engineers Take Years to Carefully Grow Bulbs
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* Gene swap experiment makes altering bugs easier
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* Fire-fighters, planes battle wildfires near Athens
* Justice Dept advises pursuing CIA abuses: report
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