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Mapping Grasslands for Biofuel Potential


Mapping Grasslands for Biofuel Potential

USGS scientists have developed a new method for mapping grasslands that demonstrate high potential for growing biofuel crops with relatively little energy input and environmental impact.    

The pioneering investigation used remote sensing data from satellites to identify detailed areas of the Greater Platte River Basin (most of Nebraska, parts of adjacent states) that are best suited for producing cellulosic (from the cell walls of plants) biofuel derived from hardy switchgrass, a native plant that grows wild or is easily cultivated. 

“This innovative scientific study takes some of the guesswork out of deciding whether it could be feasible to raise a potentially high value crop for biofuels on America’s grasslands,” said USGS Director Marcia McNutt. “Using non-food crops for fuel grown on land not now under cultivation is a low-impact step towards America’s energy independence.” 

The maps of areas with high biofuel production potential were produced by combining satellite-derived vegetation data with weather data, soil types, terrain, and other physical data. An analytical method developed by the authors helps separate the influence of long-term year-to-year weather changes (e.g. drought) from short-term disturbance changes (e.g. fire or overgrazing) in order to identify suitable areas more accurately. The maps can be used to optimize land use decisions for biofuel development and sustainability. 

Demand for biofuel products is expected to increase as the world seeks alternatives to fossil fuels. Critical considerations concerning the broader production of biofuels include issues of how much energy we get from the biofuel compared to the amount of energy required to grow and process it; its environmental impact; and the effect of biofuel production on prices of human food,  livestock feed, and agricultural land.  

Cellulosic-based production of biofuel uses the inedible structural material of plants which can be supplied from sources such as grasses (commonly switchgrass and miscanthus), woody biomass, and agricultural and municipal wastes. 

Currently, ethanol produced from corn is the most common biofuel product in the United States. The negative environmental effects resulting from corn-based biofuel development often include soil erosion, water quality impairment from pesticides and fertilizer, and demand for irrigation water. 

Deep-rooted switchgrass, one of the dominant plant species of the central North American tallgrass prairie, helps limit soil erosion and can be grown on land considered unsuitable for row crop production (including corn) as well as in sandy and gravelly soils that typically produce low yields of conventional farm crops. 

As solutions to the technical challenges of producing cellulosic-based biofuel efficiently begin to move this energy source toward a competitive market position, demand for cellulosic feedstocks such as switchgrass is expected to increase.    

The study was published in the January 2012 issue of Global Change Biology Bioenergy. 

USGS Newsroom


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Parameter Value Description
Magnitude mb The magnitude for the event.
Longitude ° East Decimal degrees longitude. Negative values for western longitudes.
Latitude ° North Decimal degrees latitude. Negative values for southern latitudes.
Depth km Depth of the event in kilometers.
Place Textual description of named geographic region near to the event. This may be a city name, or a Flinn-Engdahl Region name.
Time 1970-01-01 00:00:00 Time when the event occurred. UTC/GMT
Updated 1970-01-01 00:00:00 Time when the event was most recently updated. UTC/GMT
Timezone offset Timezone offset from UTC in minutes at the event epicenter.
Felt The total number of felt reports
CDI The maximum reported intensity for the event.
MMI The maximum estimated instrumental intensity for the event.
Alert Level The alert level from the PAGER earthquake impact scale. Green, Yellow, Orange or Red.
Review Status Indicates whether the event has been reviewed by a human.
Tsunami This flag is set to "1" for large events in oceanic regions and "0" otherwise. The existence or value of this flag does not indicate if a tsunami actually did or will exist.
SIG A number describing how significant the event is. Larger numbers indicate a more significant event.
Network The ID of a data contributor. Identifies the network considered to be the preferred source of information for this event.
Sources A comma-separated list of network contributors.
Number of Stations Used The total number of Number of seismic stations which reported P- and S-arrival times for this earthquake.
Horizontal Distance Horizontal distance from the epicenter to the nearest station (in degrees).
Root Mean Square sec The root-mean-square (RMS) travel time residual, in sec, using all weights.
Azimuthal Gap The largest azimuthal gap between azimuthally adjacent stations (in degrees).
Magnitude Type The method or algorithm used to calculate the preferred magnitude for the event.
Event Type Type of seismic event.
Event ID Id of event.
Event Code An identifying code assigned by, and unique from, the corresponding source for the event.
Event IDS A comma-separated list of event ids that are associated to an event.

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