03 OCT 2011: REPORT
This summer, high above the Amazon rainforest in
Conceived by Greg Asner, a scientist at the Carnegie Institution for Science, the new system — known as AToMS, or the Airborne Taxonomic Mapping System— has the potential to transform how tropical forest research is done.
Asner’s new system, a significant advance on the so-called Carnegie Airborne Observatory (CAO) that he originally developed in 2006, could also play a vital role in global forestry in the decades ahead. The technology could help alleviate uncertainty about carbon emissions from deforestation and different forms of forest management, both of which are critical to the emerging policy of REDD(Reducing Emissions form Deforestation and
“The whole idea was to measure each of the things plant ecologists measure on the ground to evaluate biodiversity,” said Asner, as he flew over the Amazonian cloud forest. Asner is now helping the National Science Foundation develop an airplane with this suite of monitoring technologies, and is in talks with NASA about equipping a satellite with the system.
One of the key technologies Asner uses is known as LiDAR, which employs two powerful lasers to blast through canopy vegetation, reach the forest floor, and return a wealth of information about the forest’s structure. Depending on the aircraft’s altitude, sensors can map the forest at resolutions ranging from 10 centimeters to one meter, fine enough to “see” understory shrubs and epiphytes in tree crowns. LiDAR is also very good for measuring aboveground biomass, or the amount of carbon stored in a forest’s vegetation.
To truly understand an ecosystem, however, scientists need to know more about its characteristics, including aspects that can’t be been with the naked eye. This is where Asner’s CAO really sets itself apart, using newly developed sensors — built by engineers at NASA’s Jet Propulsion Laboratory — that can detect dozens of signals, including photosynthetic pigment concentrations, water content of leaves, defense compounds like phenols, structural compounds such as lignin and cellulose, as well as phosphorous and other micronutrients — all of which can be used to build signatures to distinguish individual plant species, as well as other measures of forest condition. The result, using the so-called VSWIR Imaging Spectrometer, is a system that can map the chemical and spectral attributes of a forest that may have more than 200 species of trees in a single hectare.
“When leaves interact with sunlight, the compounds bend, stretch, and vibrate at different patterns and rates,” said Asner. “These different rates led to different scattering of light. The spectrometer picks up on this and we’ve been able to deduce chemicals from these signatures.”
But for the CAO to accurately assess biodiversity, Asner’s team has to first do the groundwork by creating a database of the chemical and spectral properties of various plants, which are then fed into the CAO’s library of information on individual plant species. These are then correlated with the data collected by the CAO’s various sensors.
The aircraft that carries the system allows Asner’s team to map very large areas, sometimes more than 49,000 hectares (120,000 acres) a day. In 2009, using an older, less sophisticated version of the system, Asner mapped 4.3 million hectares of
“We’re looking at biodiversity in regions that have never been put down on the science map,” said Asner.