Local Analysis of Tree Competition and Growth

Forest Science

Volumn 49, Issue 6, 2003, Pages 938-955

  Shi, Haijin ^a   Zhang, Lianjun ^a  

^a STATE UNIVERSITY OF NEW YORK   (United States)

Author keywords

Forest growth and yield modeling; Geographic information system (GIS); Spatial autocorrelation; Tree competition

Indexed keywords

REGRESSION ANALYSIS; SIMULATORS;

SPATIAL AUTOREGRESSION;

FORESTRY;

EID: 0348011428     PISSN: 0015749X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (97)

1. ANDERSEN, M. 1992. Spatial analysis of two-species interactions. Oecologia 91:134-140.
2. ANDERSON, S.C., J.A. KUPFER, R.R. WILSON, AND R.J. COOPER. 2000. Estimating forest crown area removed by selection cutting: a linked regression-GIS approach based on stump diameters. For. Ecol. Manage. 137:171-177.
3. ANSELIN, L. 1993. Discrete space autoregressive models. P 454-469 in Environmental modeling with GIS. Goodchild, M.F. (eds.). Oxford University Press, Oxford, United Kingdom.
4. ANSELIN, L. 1995. Local indicator of spatial association - LISA. Geogr. Anal. 27:93-115.
5. ARNEY, J.D. 1973. Tables for quantifying competitive stress on individual trees. Can. For. Serv., Pac. For. Res. Cent. Inf. Rep. BC-X-78.
6. BAO, S., AND M.S. HENRY. 1996. Heterogeneity issues in local measures of spatial association. Geogr. Syst. 31-13.
7. BATEMAN, I.J., AND A.A. LOVETT. 1998. Using geographical information system (GIS) and large area databases to predict yield class: A study of sitka spruce in Wales. Forestry 71:147-168.
8. BATISTA, J.L.F., AND D.A. MAGURE. 1998. Modeling the spatial structure of tropical forests. For. Ecol. Manage. 110:293-314.
9. BELLA, L.E. 1971. A new competition model for individual trees. For. Sci. 17:364-372.
10. BERRY, J.K., D.J. BUCKLEY, AND R.M. TECK. 1997. Seamlessly linking ARC/INFO to landscape analysis and forest growth model. P. 21-29 in Proc.: Forest vegetation simulator conference. USDA For. Serv. Gen. Tech. Rep INT-GTR-373.
11. BIGING, G.S., AND M. DOBBERTIN. 1992. A comparison of distance-dependent competition measures for height and basal area growth of individual conifer trees. For. Sci. 38:695-720.
12. BIGING, G.S., AND M. DOBBERTIN. 1995. Evaluation of competition indices in individual tree growth models. For. Sci. 41:360-377.
13. BIONDI, F., D.E. MYERS, AND C.C. AVERY. 1994. Geostatistically modeling stem size and increment in an old-growth forest. Can. J. For. Res. 24:1354-1368.
14. BROWN, G.S. 1965. Point density in stems per acre. NZ For. Res. Notes, No. 38. 11 p.
15. BRUNSDON, C.A. 1998. Exploratory spatial data analysis and local indicators of spatial association with XLIP-STAT. The Statist. 47:471-484.
16. CAO, Q.V. 2000. Prediction of annual diameter growth and survival for individual trees from periodic measurements. For. Sci. 46:127-131.
17. CLIFF, A., AND J.K. ORD. 1981. Spatial processes, models and applications. Pion, London.
18. COLE, D.M., AND A.R. STAGE. 1972. Estimating future diameters of lodgepole pine trees. USDA For. Serv. Res. Pap. INT-131. 20 p.
19. CRESSIE, N.A.C. 1993. Statistics for spatial data (revised edition). Wiley, New York. 899 p.
20. CRESSIE, N., AND L.B. COLLLNS. 2001a. Patterns in spatial point locations: Local indicators of spatial association in a minefield with clutter. Nav. Res. Log. 48:333-347.
21. CRESSIE, N., AND L.B. COLLINS. 2001b. Analysis of spatial point patterns using boundless of product density LISA functions. J. Agric. Bio. Environ. Stat. 6:118-135.
22. DANIELS, R.F., H.E. BURKHART, AND T.R. CLASON. 1986. A comparison of competition measures for predicting growth of loblolly pine trees. Can. J. For. Res. 16:1230-1237.
23. DIGGLE, P.J. 1983. Statistical analysis of spatial point patterns. Academic, London. 148 p.
24. DING, Y., AND A.S. FOTHERINGHAM. 1992. The integration of spatial analysis and GIS. Comput., Environ. Urban Syst. 16:3-19.
25. DOVCIAK, M., L.E. FRELICH, AND P.B. REICH. 2001. Discordance in spatial patterns of white pine (Pinus strobus) size-classes in a patchy near-boreal forest. J. Ecol. 89:280-291.
26. FIRBANK, L.G., AND A.R. WATKINGSON. 1987. On the analysis of competition at the level of individual plant. Oecologia 71:308-317.
27. FOTHERINGHAM, A.S. 1997. Trends in quantitative methods I: stressing the local. Progr. Hum. Geogr. 21:88-96.
28. FOTHERINGHAM, A.S. 1998. Trends in quantitative methods II: Stressing the computation. Progr. Hum. Geogr. 22:283-292.
29. FOTHERINGHAM, A.S. 1999. Trends in quantitative methods III: Stressing the visual. Progr. Hum. Geogr. 23:597-606.
30. FOTHERINGHAM, A.S., AND C. BRUNSDON. 1999. Local forms of spatial analysis. Geogr. Anal. 31:340-358.
31. FOTHERINGHAM, A.S., C. BRUNSDON, AND M. CHARLTON. 2000. Quantitative geography: Perspectives on spatial data analysis. Sage Publications, Thousand Oaks, CA. 270 p.
32. FOX, J.C., P.K. ADES, AND H. BI. 2001. Stochastic structure and individual-tree growth models. For. Ecol. Manage. 154:261-276.
33. FRIEDMAN, S.K., P.B. REICH, AND L.E. FRELICH. 2001. Multiple scale composition and spatial distribution patterns of the north-eastern Minnesota presettlement forest. J. Ecol. 89:538-554.
34. FROHLICH, M., AND H.D. QUEDNAU. 1995. Statistical analysis of the distribution pattern of natural regeneration in forests. For. Ecol. Manage. 73:45-57.
35. GANGNON, R.E., AND M.K. CLAYTON. 2001. A weighted average likelihood ratio test for spatial clustering of disease. Statist. Med. 20:2977-2987.
36. GARCIA, O. 1992. What is a diameter distribution? P. 11-29 in Proc. of the Symp. on Integrated forest management information systems, Minowa, M., and S. Tsuyuki (eds.). Japan Soc. of For. Planning Press, Tokyo, Japan.
37. GARCIA, O. 1994. The state-space approach in growth modeling. Can. J. For. Res. 24:1894-1903.
38. GETIS, A., AND J. FRANKLIN. 1987. Second-order neighborhood analysis of mapped point patterns. Ecology 68:473-477.
39. GETIS, A., AND J.K. ORD. 1992. The analysis of spatial association by use of distance statistics. Geogr. Anal. 24(3):189-206.
40. GETIS, A., AND J.K. ORD. 1996. Local spatial statistics: An overview. P. 261-277 in Spatial analysis: Modeling in a GIS environment. Longley, P., and M. Batty (eds.). Wiley, New York.
41. GOODCHILD, M.F. 1986. Spatial autocorrelation, concepts and techniques in modern geography. 47. Geo Books, Norwich, UK.
42. HAASE, P. 1995. Spatial pattern analysis in ecology based on Ripley's K-function: Introduction and methods of edge correction. J. Veg. Sci. 6:575-582.
43. HAINING, R., S. WISE, AND J. MA. 1998. Exploratory spatial data analysis in a geographic information system environment. Statist. 47:457-469.
44. HARA, T. 1992. Effects of the mode of competition on stationary size distribution in plant populations. Ann. Bot. 69:509-513.
45. HEGYI, F. 1974. A simulation for managing jack-pine stands. P. 74-90 in Growth models for tree and stand simulation, Fries, J. (ed.). Roy. Coll. of For., Stockholm, Sweden.
46. HJALMARS, U., M. KULLDORFF, G. GUSTAFSSON, AND N. NAGARWALLA. 1996. Childhood leukaemia in Sweden: Using GIS and a spatial scan statistic for cluster detection. Statist. Med. 15:707-715.
47. HOLMES, M.J., AND D.D. REED. 1991. Competition indices for mixed species northern hardwoods. For. Sci. 37:1338-1349.
48. ISAAKS, E.H., AND R.M. SRIVASTAVA. 1989. An introduction to applied geostatistics. Oxford University Press, New York. 561 p.
49. KENKEL, N.C. 1988. Pattern of self-thinning in jack pine: testing the random mortality hypothesis. Ecology 69:1017-1024.
50. KENKEL, N.C., J.A. HOSKINS, AND W.D. HOSKINS. 1989. Local competition in a naturally established jack pine stand. Can. J. Bot. 67:2630-2635.
51. KOHL, M., AND G. GERTNER. 1997. Geostatistics in evaluating forest damage surveys: Considerations on methods for describing spatial distributions. For. Ecol. Manage. 95:131-140.
52. KULLDORFF, M. 1997. A spatial scan statistic. Commun. Stat. Theory Meth. 26:1481-1496.
53. KUULUVAINEN, T., AND T. PUKKALA. 1987. Effect of crown shape and tree distribution on the spatial distribution of shade. Agric. For. Meteorol. 40:215-231.
54. LEAK, W.B., AND D.S. SOLOMON. 1975. Influence of residual stand density on regeneration of northern hardwoods. USDA For. Serv. Res. Pap. NE-310. P. 7.
55. LEE, J., AND D.W.S. WONG. 2001. Statistical analysis with ArcView GIS. Wiley, New York. 192 p.
56. LEGENDRE, P. 1993. Spatial autocorrelation: Trouble or new paradigm. Ecology 74:1659-1673.
57. LIU, J., AND H.E. BURKHART. 1994a. Spatial autocorrelation of diameter and height increment predictions from two stand simulators for loblolly pine. For. Sci. 40:349-356.
58. LIU, J., AND H.E. BURKHART. 1994b. Spatial characteristics of diameter and total height in juvenile loblolly pine (Pinus taeda L.) plantations. For. Sci. 40:774-786.
59. LORIMER, C.G. 1983. Tests of age-independent competition indices for individual trees in natural hardwood stands. For. Ecol. Manage. 6:343-360.
60. MAGNUSSEN, S. 1994. A method to adjust simultaneously for spatial microsite and competition effects. Can. J. For. Res. 24:985-995.
61. MATEU, J., J.L. USO, AND F. MONTES. 1998. The spatial pattern of a forest ecosystem. Ecol. Model. 108:163-174.
62. MCDILL, M.E., AND R.L. AMATEIS. 1993. Fitting discrete-time dynamic models having any time interval. For. Sci. 39:499-519.
63. MILLER, T.E., AND J. WEINER. 1989. Local density variation may mimic effects of asymmetric competition on plant size variability. Ecology 70:1188-1191.
64. MOEUR, M. 1993. Characterizing spatial patterns of trees using stem-mapped data. For. Sci. 39:756-775.
65. MOORE, J.A., C.A. BUDELSKY, AND R.C. SCHLESINGER. 1973. A new index representing individual tree competitive status. Can. J. For. Res. 3:495-500.
66. NEWTON, P.F., AND P.A. JOLLIFFE. 1998. Assessing processes of intraspecific competition with spatially heterogeneous black spruce stands. Can. J. For. Res. 28:259-275.
67. ORD, J.K., AND A. GETIS. 1995. Local spatial autocorrelation statistics: Distributional issues and an application. Geogr. Anal. 27:286-306.
68. PACALA, S.W., AND D.H. DEUTSCHMAN. 1995. Details that matter: The spatial distribution of individual trees maintains forest ecosystem function. OIKOS 74:357-365.
69. PELZ, D.R. 1978. Estimating individual tree growth with tree polygons. P. 172-178 in Growth models for long term forecasting of timber yields. Fries, J., H.E. Burkhart, and T.A. Max (eds.). Va. Polytech. Inst. State Univ., Sch. For. Wildl. Resour., FWS-1-78.
70. PENTTINEN, A., D. STOYAN, AND H.M. HENTTONEN. 1992. Marked point processes in forest statistics. For. Sci. 38:806-824.
71. PRETZSCH, H. 1997. Analysis and modeling of spatial stand structures: Methodological considerations based on mixed beechlarch stands in Lower Saxony. For. Ecol. Manage. 97:237-253.
72. PUKKALA, T. 1988. Effect of spatial distribution of trees on the volume increment of a young Scots pine stand. Silva Fennica 22:1-17.
73. PUKKALA, T., AND T. KOLSTROM. 1987. Competition indices and the prediction of radial growth in Scots pine. Silva Fenn. 21:55-67.
74. REED, D.D. AND H.E. BURKHART. 1985. Spatial autocorrelation of individual tree characteristics in loblolly pine stands. For. Sci. 31:575-587.
75. REED, D.D., H.O. LIECHTY, AND A.J. BURTON. 1989. A simple procedure for mapping tree location in forest stands. For. Sci. 35:657-662.
76. RIPLEY, B.D. 1979. Tests of 'randomness' for spatial point patterns. J. R. Stat. Soc. B. 41:368-374.
77. RIPLEY, B.D. 1981. Spatial statistics. Wiley, New York.
78. ROSSI, R.E., D.J. MULLA, A.G. JOURNEL, AND E.H. FRANZ. 1992. Geostatistical tools for modeling and interpreting ecological spatial dependence. Ecol. Monogr. 62:277-314.
79. ROUVINEN, S., AND T. KUULUVAINEN. 1997. Structure and asymmetry of tree crowns in relation to local competition in a natural mature Scots pine forest. Can. J. For. Res. 27:890-902.
80. SCHOONDERWOERD, H., AND G.M.J. MOHREN. 1988. Autocorrelation and competition in even-aged stands of Douglas-fir in the Netherlands. P. 619-626 in Forest growth modeling and prediction. USDA For. Serv. Gen. Tech. Rep. NC-120.
81. SOKAL, R.R., N.L. ODEN, AND B.A. THOMSON. 1998a. Local spatial autocorrelation in a biological model. Geogr. Anal. 30:331-354.
82. SOKAL, R.R., N.L. ODEN, AND B.A. THOMSON. 1998b. Local spatial autocorrelation in a biological variables. Biol. J. Linnean Soc. 65:41-62.
83. SOLOMON, D.S. 1977. The influence of stand density and structure on growth of northern hardwoods in New England. USDA For. Serv. Res. Pap. NE-362.
84. SPURR, S.H. 1962. A measure of point density. For. Sci. 8:85-96.
85. STERNER, R.W., C.A. RIBIC, AND G.E. SCHATZ. 1986. Testing for life historical changes in spatial patterns of four tropical tree species. J. Ecol. 74:621-633.
86. TOME, M., AND H.E. BURKHART. 1989. Distance-dependent competition measures for predicting growth of individual trees. For. Sci. 35:816-831.
87. UNWIN, A. 1996. Exploratory spatial analysis and local statistics. Comput. Stat. 11:387-400.
88. UNWIN, A., AND D. UNWIN. 1998. Exploratory spatial data analysis with local statistics. Statist. 47:415-421.
89. UNWIN, D.J. 1996. GIS, spatial analysis and spatial statistics. Progr. Hum. Geogr. 20:540-551.
90. WEINER, J. 1990. Asymmetric competition in plant populations. Trends Ecol. Evol. 5:360-364.
91. WELLS, M.L., AND A. GETIS. 1999. The spatial characteristics of stand structure in Pinus torreyana. Plant Ecol. 143:153-170.
92. WENSEL, L.C., W.J. MEERSCHAERT, AND G.S. BIGING. 1987. Tree height and diameter growth models for Northern California conifers. Univ. of Calif. Agric. Exp. Stn. Hilgardia 55(8):1-20.
93. WEST, P.W. 1980. Use of diameter increment and basal area increment in tree growth studies. Can. J. For. Res. 10:71-77.
94. WILHELM, A., AND R. STECK. 1998. Exploratory spatial data by using interactive graphics and local statistics. Statist. 47:423-430.
95. WULDER, M., AND B. BOOTS. 1998. Local spatial autocorrelation characteristics of remotely sensed imagery assessed with the Getis statistic. Int. J. Remote Sensing 19:2223-2231.
96. WULDER, M., AND B. BOOTS. 2001. Local spatial autocorrelation characteristics of Landsat TM imagery of a managed forest area. Can. J. Rem. Sens. 27:67-75.
97. ZHANG, Z., AND D.A. GRIFFITH. 2000. Integrating GIS components and spatial statistical analysis in DBMSs. Internat. J. Geogr. Inf. Sci. 14:543-566.