Identifying grasslands suitable for cellulosic feedstock crops in the greater platte river basin: Dynamic modeling of ecosystem performance with 250 m eMODIS

GCB Bioenergy

Volumn 4, Issue 1, 2012, Pages 96-106

  Gu, Yingxin ^a   Boyte, Stephen P ^a   Wylie, Bruce K ^a   Tieszen, Larry L ^a  

^a EARTH RESOURCES OBSERVATION AND SCIENCE EROS CENTER   (United States)

Author keywords

Cellulosic biofuel; Cellulosic feedstock crops; Ecosystem performance models; EMODIS NDVI; Greater platte river basin; Land management; Satellite remote sensing; Weather data

Indexed keywords

CARBON; CLIMATE MODELS; CROPS; DECISION MAKING; DECISION SUPPORT SYSTEMS; ECOSYSTEMS; FEEDSTOCKS; LAND USE; METEOROLOGY; ORGANIC CARBON; RADIOMETERS; REMOTE SENSING; RIVERS; STREAM FLOW; VEGETATION; WATERSHEDS;

CELLULOSIC BIOFUELS; CELLULOSIC FEEDSTOCKS; EMODIS NDVI; GREATER PLATTE RIVER BASINS; LAND MANAGEMENTS; PERFORMANCE MODEL; SATELLITE REMOTE SENSING; WEATHER DATA;

ECOLOGY;

PANICUM VIRGATUM;

EID: 84866500333     PISSN: 17571693     EISSN: 17571707     Source Type: Journal    
DOI: 10.1111/j.1757-1707.2011.01113.x     Document Type: Article

References (53)

1. Asner GP, Elmore AJ, Olander LP, Martin RE, Harris T (2004) Grazing systems, ecosystem responses, and global change. Annual Review of Environment and Resources, 29, 261-299.
2. Becker-Reshef I, Vermote E, Lindeman M, Justice C (2010) A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment, 114, 1312-1323.
3. Blanco-Canqui H (2010) Energy crops and their implications on soil and environment. Agronomy Journal, 102, 403-419.
4. Bracmort K (2010) Meeting the Renewable Fuel Standard (RFS) mandate for cellulosic biofuels: questions and answers. CRS (Congressional Research Service) Report for Congress, Washington, DC, USA. RL41106.
5. Bracmort K, Schnepf R, Stubbs M, Yacobucci BD(2010) Cellulosic biofuels: analysis of policy issues for congress. CRS Report for Congress, Washington, DC, USA. RL34738.
6. Bunn AG, Goetz SJ, Fiske GJ (2005) Observed and predicted responses of plant growth to climate across Canada. Geophysical Research Letters, 32, 1-4.
7. Cubist Software (2009) RuleQuest Research Pty Ltd, NSW, Australia. Available at: http://www.rulequest.com (accessed 18 July 2009).
8. Dunn AL, Barford CC, Wofsy SC, Goulden ML, Daube BC (2007) A long-term record of carbon exchange in a boreal black spruce forest: means, responses to interannual variability, and decadal trends. Global Change Biology, 13, 577-590.
9. Funk C, Budde ME (2009) Phenologically-tuned MODIS NDVIbased production anomaly estimates for Zimbabwe. Remote Sensing of Environment, 113, 115-125.
10. Gelfand I, Snapp SS, Robertson GP (2010) Energy efficiency of conventional, organic, and alternative cropping systems for food and fuel at a site in the U.S. Midwest. Environmental Science & Technology, 44, 4006-4011.
11. Gitelson AA, Viñ a A, Verma SB, et al. (2006) Relationship between gross primary production and chlorophyll content in crops: implications for the synoptic monitoring of vegetation productivity. Journal of Geophysical Research, 111, D08S11.
12. Gu Y, Wylie BK (2010) Detecting ecosystem performance anomalies for land management in the Upper Colorado River Basin using satellite observations, climate data, and ecosystem models. Remote Sensing, 2, 1880-1891.
13. Guretzky JA, Biermacher JT, Cook BJ, Kering MK, Mosali J (2011) Switchgrass for forage and bioenergy: harvest and nitrogen rate effects on biomass yields and nutrient composition. Plant and Soil, 339, 69-81.
14. Hobbs TJ (1995) The use of NOAA-AVHRR NDVI data to assess herbage production in the arid rangelands of central Australia. International Journal of Remote Sensing, 16, 1289-1302.
15. Homer C, Huang C, Yang L, Wylie B, Coan M (2004) Development of a 2001 National Land-Cover Database for the United States. Photogrammetric Engineering and Remote Sensing, 70, 829-840.
16. Jenkerson CB, Maiersperger TK, Schmidt GL (2010) eMODIS -a user-friendly data source. U.S. Geological Survey (USGS) Open-File Report, Reston, VA, USA. 2010-1055.
17. Kang S, Kimball JS, Running SW (2006) Simulating effects of fire disturbance and climate change on boreal forest productivity and evapotranspiration. Science of the Total Environment, 362, 85-102.
18. Kimball JS, Zhao M, Mcdonald KC, Running SW (2006) Satellite remote sensing of terrestrial net primary production for the pan-Arctic basin and Alaska. Mitigation and Adaptation Strategies for Global Change, 11, 783-804.
19. Launchbaugh K, Brammer B, Brooks ML et al. (2008) Interactions among livestock grazing, vegetation type, and fire behavior in the Murphy Wildland Fire Complex in Idaho and Nevada, July 2007. USGS Open-File Report, Reston, VA, USA. 2008-1214.
20. Liebig MA (2006) USDA and DOE favor switchgrass for biomass fuel. Industrial Bioprocessing, 28, 7.
21. Liebig MA, Schmer MR, Vogel KP, Mitchell RB (2008) Soil carbon storage by switchgrass grown for bioenergy. Bioenergy Research, 1, 215-222.
22. Mclaughlin SB, Kszos LA (2005) Development of switchgrass (Panicum virgatum) as a bioenergy feedstock in the United States. Biomass and Bioenergy, 28, 515-535.
23. Milbrandt A (2005) A geographic perspective on the current biomass resource availability in the United States, TP-560-39181, National Renewable Energy Laboratory (NREL), Golden, CO, USA.
24. Olson DM, Dinerstein E, Wikramanayake ED, et al. (2001) Terrestrial ecoregions of the world: a new map of life on Earth. BioScience, 51, 933-938.
25. Pala C (2010) Study finds using food grain to make ethanol is energy-inefficient. Environmental Science & Technology, 44, 3648.
26. Pimentel D (2010) Corn and cellulosic etanol problems and soil erosion. In: Soil quality and biofuel production (ed. Lal R, Stewart BA), pp. 119-135. CRC Press, Taylor & Francis Group,Boca Raton, FL, USA.
27. PRISM Climate Group, Oregon State University. Available at: http://www.prismclimate.org (accessed 1 March 2010).
28. Rupp TS, Chapin FS III, Starfield AM (2000) Response of subarctic vegetation to transient climatic change on the Seward Peninsula in north-west Alaska. Global Change Biology, 6, 541-555.
29. Sand Hills Ecoregion, National Geographic. Nebraska Sand Hills mixed grasslands. Available at: http://www.nationalgeographic.com/wildworld/profiles/terrestrial/na/na0809.html (accessed 21 January 2011).
30. Sanderson MA, Adler PR, Boateng AA, Casler MD, Sarath G (2006) Switchgrass as a biofuels feedstock in the USA. Canadian Journal of Plant Science, 86, 1315-1325.
31. Saxon E, Baker B, Hargrove W, Hoffman F, Zganjar C (2005) Mapping environments at risk under different global climate change scenarios. Ecology Letters, 8, 53-60.
32. Schmer MR, Vogel KP, Mitchell RB, Perrin RK (2008) Net energy of cellulosic ethanol from switchgrass. Proceedings of the National Academy of Sciences of the United States of America, 105, 464-469.
33. Schmer MR, Mitchell RB, Vogel KP, Schacht WH, Marx DB (2010) Spatial and temporal effects on switchgrass stands and yield in the Great Plains. Bioenergy Research, 3, 159-171.
34. Schnepf R, Yacobucci BD (2010) Selected issues related to an expansion of the Renewable Fuel Standard (RFS). CRS Report for Congress, Washington, DC, USA. R40155.
35. Simpson T (2009) Biofuels: the past, present, and a new vision for the future. BioScience, 59, 926-927.
36. Solomon BD, Barnes JR, Halvorsen KE (2007) Grain and cellulosic ethanol: history, economics, and energy policy. Biomass and Bioenergy, 31, 416-425.
37. Swets DL, Reed BC, Rowland JR, Marko SE(1999) A weighted least-squares approach to temporal smoothing of NDVI. ASPRS Annual Conference, From Image to Information, Portland, OR, USA.
38. Thomson AM, Izarrualde RC, West TO, Parrish DJ, Tyler DD, Williams JR (2009). Simulating potential switchgrass production in the United States, Pacific Northwest National Laboratory, Richland, WA, USA. PNNL-19072.
39. 4 production, and distributions in Great Plains grassland land cover classes. Ecological Applications, 7, 59-78.
40. Trostle R (2008) Global agricultural supply and demand: factors contributing to the recent increase in food commodity prices. Economic Research Service, WRS-0801. US Department of Agriculture, Washington, DC, USA.
41. Tucker CJ, Vanpraet CL, Sharman MJ, Van Ittersum G (1985) Satellite remote sensing of total herbaceous biomass production in the Senegalese Sahel: 1980-1984. Remote Sensing of Environment, 17, 233-249.
42. U.S. Drought Monitor Data Archives (2006). Available at: http://drought.unl.edu/dm/archive.html (accessed 20 October 2010).
43. USDA Natural Resources Conservation Service. 1998. Soil Quality Information Sheet, Soil Quality Resource Concerns: Available Water Capacity. Available at: http://soils.usda.gov/sqi/publications/files/avwater.pdf (accessed 21 January 2011).
44. USGS Digital Elevation Model data. Available at: http://eros.usgs.gov/#Find_Data/Products_and_Data_Available/DEMs (accessed 20 March 2010).
45. USGS LANDFIRE Data (2009) LANDFIRE Data Distribution Site. Available at http://landfire.cr.usgs.gov/viewer/ (accessed 20 June 2009).
46. Vadas PA, Barnett KH, Undersander DJ (2008) Economics and energy of ethanol production from alfalfa, corn, and switchgrass in the Upper Midwest, USA. Bioenergy Research, 1, 44-55.
47. Viereck LA, Van Cleve K, Dyrness CT (1984) Some aspects of vegetation and temperature relationships in the Alaska taiga. In: The Potential Effects of Carbon-dioxide-Induced Climate Changes In Alaska (ed. Mcbeath JH), pp. 129-142. University of Alaska, Fairbanks, AK, USA.
48. Viereck LA, Dyrness CT, Batten AR, Wenzlick KJ (1992) The Alaskan vegetation classification. USDA Pacific Northwest Research Station General Technical Report, Portland, OR, USA. PNW-GTR-286.
49. Wang Q, Adiku S, Tenhunen J, Granier A (2005) On the relationship of NDVI with leaf area index in a deciduous forest site. Remote Sensing of Environment, 94, 244-255.
50. White AB, Kumar P, Tcheng D (2005) A data mining approach for understanding topographic control on climate-induced inter-annual vegetation variability over the United States. Remote Sensing of Environment, 98, 1-20.
51. Wylie BK, Fosnight EA, Gilmanov TG, Frank AB, Morgan JA, Haferkamp MR, Meyers TP (2007) Adaptive data-driven models for estimating carbon fluxes in the northern Great Plains. Remote Sensing of Environment, 106, 399-413.
52. Wylie BK, Zhang L, Bliss NB, Ji L, Tieszen LL, Jolly WM (2008) Integrating modelling and remote sensing to identify ecosystem performance anomalies in the boreal forest, Yukon River Basin, Alaska. International Journal of Digital Earth, 1, 196-220.
53. Zhang L, Wylie BK, Ji L, Gilmanov TG, Tieszen LL (2010) Climate-driven interannual variability in net ecosystem exchange in the northern Great Plains grasslands. Rangeland Ecology and Management, 63, 40-50.