A geographically weighted regression analysis of Douglas-fir site index in north central Idaho

Forest Science

Volumn 54, Issue 3, 2008, Pages 356-366

  Kimsey Jr , Mark J ^a   Moore, James ^a   McDaniel, Paul ^a  

^a UNIVERSITY OF IDAHO   (United States)

Author keywords

GIS; Multiple linear regression; Volcanic ash

Indexed keywords

EIGENVALUES AND EIGENFUNCTIONS; ELECTRIC POTENTIAL; FOOD PROCESSING; LOUDSPEAKERS; PASSENGER CARS; REGRESSION ANALYSIS; SILICON; STANDARDS; VOLCANOES;

DOUGLAS FIRS; GEOGRAPHICALLY WEIGHTED REGRESSION (GWR); MULTIPLE LINEAR REGRESSION (MLR); PREDICTOR VARIABLES; PSEUDOTSUGA MENZIESII (DOUGLAS-FIR); REGRESSION (R2); SITE INDEX; VOLCANIC ASH (VA);

LINEAR REGRESSION;

PSEUDOTSUGA; PSEUDOTSUGA MENZIESII;

EID: 45749096577     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (47)

1. BELSLEY, D.A., E. KUH, AND R.E. WELSCH. 1980. Regression diagnostics: Identifying influential data and sources of collinearity. John Wiley & Sons, New York, NY. 292 p.
2. BREIMAN, L. 2001. Statistical modeling: The two cultures. Stat. Sci. 16:199-231.
3. BROADFOOT, W.M. 1969. Problems in relating soil to site index for southern hardwoods. For. Sci. 15:354-364.
4. BROWN, H.G., AND H. LOEWENSTEIN. 1978. Predicting site productivity of mixed conifer stands in northern Idaho from soil and topographic variables. Soil Sci. Soc. Am. J. 42:967-971.
5. BURGER, J.A., AND D.L. KELTING. 1999. Using soil quality indicators to assess forest stand management. For. Ecol. Manag. 122:155-166.
6. COOPER, S.V., K.E. NEIMAN, R. STEELE, AND D.W. ROBERTS. 1991. Forest habitat types of northern Idaho: a second approximation. US For. Serv. Gen. Tech. Rep. INT-236. 143 p.
7. CORONA, P., R. SCOTTI, AND N. TARCHIANI. 1998. Relationship between environmental factors and site index in Douglas-fir plantations in central Italy. For. Ecol. Manag. 110:195-207.
8. CURT, T. 1999. Predicting yield of Norway spruce and Douglas-fir using a morphopedological approach in the granitic landscapes of French Massif Central. Can. J. Soil Sci. 79:491-500.
9. CURT, T., M. BOUCHAUD, AND G. AGRECH. 2001. Predicting site index of Douglas-fir plantations from ecological variables in the Massif Central area of France. For. Ecol. Manag. 149:61-74.
10. DAHLGREN, R., S. SHOJI, AND M. NANZYO. 1993. Mineralogical characteristics of volcanic ash soils. P. 101-104 in Volcanic ash soils - Genesis, properties, and utilization, Shoji, S., M. Nanzyo, and R.A. Dahlgren (eds.). Elsevier, Amsterdam.
11. FOODY, G.M. 2003. Geographical weighting as a further refinement to regression modelling: An example focused on the NDVI-rainfall relationship. Remote Sens. Environ. 88(3):283-293.
12. FOTHERINGHAM, A.S., C. BRUNSDON, AND M. CHARLTON. 2002. Geographically weighted regression: The analysis of spatially varying relationships. John Wiley & Sons, New York, NY. 265 p.
13. GARRISON-JOHNSTON, M.T., R. LEWIS, AND T. FROST. 2003. Geologic controls on tree nutrition and forest health in the Inland Northwest. Abstracts with Programs. Geol. Soc. Am. 35(6):433.
14. GRANEY, D.L. 1977. Site index predictions for red oaks and white oak in the Boston mountains of Arkansas. US For. Serv. Res. Pap. SO-139. 9 p.
15. GREEN, R.N., P.L. MARSHALL, AND K. KLINKA. 1989. Estimating site index of Douglas-fir (Pseudotsuga menziesii [Mirb.] Franko) from ecological variables in southwestern British Columbia. For. Sci. 35:50-63.
16. GWR. 2005. Geographically weighted regression software 3.0. National Centre for Geocomputation, National University of Ireland. Maynooth, Ireland.
17. HOPE, A. 1968. A simplified Monte Carlo significance test procedure. J. R. Stat. Soc. Ser. B 30:582-598.
18. IDAHO STATE CLIMATE SERVICES. 2000. Digital precipitation for Idaho: Average, monthly, and annual (1961-1990). Idaho State Climate Services, Moscow, ID.
19. KABZEMS, R.D., AND K. KLINKA. 1987. Initial quantitative characterization of soil nutrient regimes. II. Relationships among soils, vegetation, and site index. Can. J. For. Res. 17:1565-1571.
20. KAYAHARA, G.J., K. KLINKA, AND P.L. MARSHALL. 1998. Testing site index - Site-factor relationships for predicting Pinus conforta and Picea engelmannii X P. glauca productivity in central British Columbia, Canada. For. Ecol. Manag. 110:141-150.
21. KIMSEY, M.J., B. GARDNER, AND A. BUSACCA. 2007. Ecological and topographic features of volcanic ash-influenced forest soils. P. 7-21 in Proc. of conf. on Volcanic-ash-derived forest soils of the Inland Northwest: Properties and implications for management and restoration, Page-Dumroese, D., R. Miller, J. Mital, P. McDaniel, and D. Miller (tech. eds.). US For. Serv. Proc. RMRS-P-044. Fort Collins, CO.
22. MCDANIEL, P.A., R.W. GABEHART., A.L. FALEN, J.E. HAMMEL, AND R.J. REUTER. 2001. Perched water tables on argixeroll and fragixeralf hillslopes. Soil Sci. Soc. Am. J. 65:805-810.
23. MCDANIEL, P.A., M.A. WILSON., R. BURT, D. LAMMERS, T.D. THORSON, C.L. MCGRATH, AND N. PETERSON. 2005. Andic soils of the Inland Pacific Northwest, USA: Properties and ecological significance. Soil Sci. 170:300-311.
24. MCKENNEY, D.W., AND J.H. PEDLAR. 2003. Spatial models of site index based on climate and soil properties for two boreal tree species in Ontario, Canada. For. Ecol. Manag. 175:497-507.
25. MCLEOD, S.D., AND S.W. RUNNING. 1988. Comparing site quality indices and productivity in ponderosa pine stands of western Montana. Can. J. For. Res. 18:346-352.
26. MONSERUD, R.A. 1984. Height growth and site index curves for inland Douglas-fir based on stem analysis data and forest habitat type. For. Sci. 30:943-965.
27. MONSERUD, R.A. 1985. Comparison of Douglas-fir site index and height growth curves in the Northwest. Can. J. For. Res. 15:673-679.
28. MONSERUD, R.A., U. MOODY, AND D. BREUER. 1990. A soil-site study for inland Douglas-fir. Can. J. For. Res. 20:686-695.
29. MONSERUD, R.A., AND G.E. REHFELDT. 1990. Genetic and environmental components of variation of site index in Douglas-fir. For. Sci. 36:1-9.
30. MYERS, R.H. 1990. Classical and modern regression with applications, 2nd ed. Duxbury, Pacific Grove, CA. 488 p.
31. REICHE, P. 1943. Graphic representation of chemical weathering. J. Sed. Petrol. 13(2):58-68.
32. ROCKEFELLER, S.L., P.A. MCDANIEL, AND A.L. FALEN. 2004. Perched water table responses to forest clearing in northern Idaho. Soil Sci. Soc. Am. J. 68:168-174.
33. ROISE, J.P., AND D.R. BETTERS. 1981. An aspect transformation with regard to elevation for site productivity models. For. Sci. 27:483-486.
34. SAS INSTITUTE, INC. 1990. SAS/STAT user's guide. SAS Institute Inc., Cary, NC. 1686 p.
35. SÁNCHEZ-RODRÍGUEZ, F., R. RODRÍGUEZ-SOALLEIRO, E. ESPAÑOL, C.A. LÓPEZ, AND A. MERINO. 2002. Influence of edaphic factors and tree nutritive status on the productivity of Pinus radiata D. Don plantations in northwestern Spain. For. Ecol. Manag. 171:181-189.
36. SCHOENHOLTZ, S.H., H. VAN MIEGROET, AND J.A. BURGER. 2000. A review of chemical and physical properties as indictors of forest soil quality: Challenges and opportunities. For. Ecol. Manag. 138:335-356.
37. SOIL SURVEY STAFF. 1999. Soil taxonomy. A basic system of soil classification for making and interpreting soil surveys, 2nd ed. US Natl. Res. Conserv. Serv. Agricultural Handbook No. 436. U.S. Govt. Printing Office, Washington, DC.
38. SPURR, S.H., AND B.V. BARNES. 1980. Forest ecology, 3rd ed. John Wiley & Sons, New York, NY. 687 p.
39. STAGE, A.R. 1976. An expression for the effect of aspect, slope, and habitat type on tree growth. For. Sci. 22:457-460.
40. STEELE, R., R.D. PFISTER, R.A. RYKER, AND J.A. KITTAMS. 1981. Forest habitat types of central Idaho. US For. Serv. Gen. Tech. Rep. INT-114. 137 p.
41. STENDAHL, J., S. SNÄLL, M.T. OLSSON, AND P. HOLMGREN. 2002. Influence of soil mineralogy and chemistry on site quality within geological regions in Sweden. For. Ecol. Manag. 170:75-88.
42. UZOH, F.C.C. 2001. A height increment equation for young ponderosa pine plantations using precipitation and soil factors. For. Ecol. Manag. 142:193-203.
43. VANDER PLOEG, J.L., AND J.A. MOORE. 1989. Comparison and development of height growth and site index curves for Douglas-fir in the Inland Northwest. West. J. Appl. For. 4(3):85-88.
44. WANG, G.G., AND K. KLINKA. 1996. Use of synoptic variables in predicting white spruce site index. For. Ecol. Manag. 80:95-105.
45. WANG, Y., F. RAULIER, AND C.H. UNG. 2005a. Evaluation of spatial predictions of site index obtained by parametric and nonparametric methods - A case study of lodgepole pine productivity. For. Ecol. Manag. 214:201-211.
46. WANG, Q., J. NI, AND J. TENHUNEN. 2005b. Application of a geographically-weighted regression analysis to estimate net primary production of Chinese forest ecosystems. Global Ecol. Biogeogr. 14(4):379-393.
47. WILSON, J.P., AND J.C. GALLANT. 2000. Digital terrain analysis. P. 7-8 in Terrain analysis: Principles and applications. Wilson, J.P., and J.C. Gallant (eds.). John Wiley & Sons, New York, NY.