Short rotation woody crop trials for energy production in north central U.S.

Hansen, Ebbe Stender; Netzer, Daniel A.; Ostry, Michael E.; Tolsted, David N.; Ward, K. B.

doi:10.2172/368274

Cited by 2 publications

(3 citation statements)

References 3 publications

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“…The backcast of afforestation activities in the prairie region (Hall et al 2004) provided an indicator of the ranges of the selected environmental variables associated with afforestation sites. A literature review of similar work (Hansen et al 1993(Hansen et al , 1995Berguson 1994;Agri-Food Canada 1998, 2003;Johnson and Wene 2002;Shock et al 2002;Stanturf et al 2002;Gustafson et al 2003;Miller 2004) and input from regional afforestation experts was used to refine the value attribute ranges for each of the environmental variables. Determining these attribute values, however, is not a definitive science.…”

Section: Environmental Attribute Rangesmentioning

confidence: 99%

“…Statistical methods tend to be empirical, involving regression-based prediction of suitability (which is often represented by a surrogate variable such as growth or yield) as a function of environmental variables. These methods cannot be employed successfully when quantitative data is either not available, or much of the information is qualitative in nature (Berguson 1994;Hansen et al 1995). Even when sufficient data is available, the sample data utilized may not accurately represent or capture the relationships that exist between variables throughout the entire area being assessed (Berguson 1994;Hansen et al 1995).…”

Section: Introductionmentioning

confidence: 99%

“…These methods cannot be employed successfully when quantitative data is either not available, or much of the information is qualitative in nature (Berguson 1994;Hansen et al 1995). Even when sufficient data is available, the sample data utilized may not accurately represent or capture the relationships that exist between variables throughout the entire area being assessed (Berguson 1994;Hansen et al 1995). Consequently, statistical models may be limited from the lack of empirical data, and results generated may be unrealistic, differ from expectations, or vary in accuracy (McBratney and Odeh 1997).…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy-logic modeling of land suitability for hybrid poplar across the Prairie Provinces of Canada

Joss

Hall

Sidders

et al. 2007

Environ Monit Assess

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Determining the feasibility of a large-scale afforestation program is one approach being investigated by the Government of Canada to increase Canada's potential to sequester carbon from the atmosphere. Large-scale afforestation, however, requires knowledge of where it is suitable to establish and grow trees. Spatial models based on Boolean logic and/or statistical models within a geographic information system may be used for this purpose, but empirical environmental data are often lacking, and the association of these data to land suitability is most often a subjective process. As a solution to this problem, this paper presents a fuzzy-logic modeling approach to assess land suitability for afforestation of hybrid poplar (Populus spp.) over the Prairie Provinces of Canada. Expert knowledge regarding the selection and magnitudes of environmental variables were integrated into fuzzy rule sets from which estimates of land suitability were generated and presented in map form. The environmental variables selected included growing season precipitation, climate moisture index, growing degree days, and Canada Land Inventory capability for agriculture and elevation. Approximately 150,000 km2, or 28% of the eligible land base within the Prairie Provinces was found to be suitable for afforestation. Accuracy assessments conducted with fuzzy accuracy methods provided a more descriptive assessment of the resulting land suitability map than figures generated from a more conventional Boolean-based accuracy measure. Modeling, mapping and accuracy assessment issues were identified for future extension of this work to map hybrid poplar land suitability over Canada.

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Section: Environmental Attribute Rangesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%