Spatial Heterogene ities of Tree Growth in Subtropica lMounta in Broad-leavedM ixed Forest

ZHAO An-jiu; HU Ting-xing; CHEN Xiao-hong

Volume 21 Issue 6

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Citation:

Spatial Heterogene ities of Tree Growth in Subtropica lMounta in Broad-leavedM ixed Forest

1.
Key Laboratory of Forest Ecological Engineering, Sichuan Agricultural University, Yapan　625014, Sichuan, China

Received Date: 2007-12-26

Abstract

One permanent p lot with 100 m ×100 m was established to study the structure and function of mountainbroad-leaved mixed forest ecosystem in southwestern Sichuan (102°50′E, 30°02′N). The relative position of everytree wasmeasured by compass. By analysis of geostatistics, diameter at breast height and basal area of forest standshowed spatial autocorrelations in strict ranges, further more, they rep resented spatial varieties only in orientationsof 45 degree; basal area increment (BA I) of each tree species showed spatial varieties only in orientations of 45degree during 1986—1991, 1986—1996, 1986—2001, 1986—2006. Researches on spatial heterogeneities of treeBA I could put afford meaningful references for studying ecological structures and functions of subtrop icalMountainbroad-leaved mixed forest.
- spatial heterogeneities,
- basal area increment (BA I),
- mountain broad-leaved mixed forest

References

[1]	Baidwin V C, Peterson KD, Burkilart H E, et al. Equation for estimating loblolly p ine branch and foliageweight and surface area distributions [J]. Can J For Res, 1997, 27: 918 - 927
[2]	唐守正,李希菲,孟昭和. 林分生长模型研究的进展[J]. 林业科学研究, 1993, 6 (6) : 672 - 679
[3]	Bailey R L. A compatible volume-tape model based on the schumacher and hall generalized constant form factor volume equation [J].For Sci, 1994, 40: 303 - 313
[4]	Yang X, Witcosky J J, Miller J J. Vertical overstory canopy architecture of temperate deciduous hardwood forests in the Eastern UnitedStates [J]. For Sci, 1999, 45 (3) : 349 - 358
[5]	Zhang Yujia, Bruce E B, Rodney E W, et al. A model for foliageand branch biomass p rediction for intensively managed fast growingloblolly p ine [J]. For Sci, 2004, 50 (1) : 65 - 81
[6]	Wichmann L. Modelling the effects of competion between individualtrees in forest stands [D]. Copenhagen: Royal Veterinary and Agricultural University, 2002: 112
[7]	Melisa L H, David L P. Spatial and temporal variability in forestgrowth in the Olymp icMountains, Washington: sensitivity to climaticvariability[J]. Can J For Res, 2006, 36 (1) : 92 - 105
[8]	Koistinen E, Valkonen S. Models for height development of Norwaysp ruce and Scots p ine advance growth after release in southern Finland[J]. Sil Fen, 1993, 27: 179 - 194
[9]	Kuuluvalnen T, Pukkala T. Effect of crown shape and tree distribution on the spatial distribution of shade [J]. Agric For Meteorol,1987, 40: 215 - 231
[10]	Gregoire T G, SchabenbergerO. A non-linear mixed-effectsmodelto p redict cumulative bole volume of standing trees[J]. J App l Sta,1996, 23: 257 - 271
[11]	Kenkel N C, Hoskina J A, HoskinsW D. Local competition in anaturally established jack p ine stand [J]. Can J Bot, 1989, 67:2630 - 2635
[12]	MoeurM. Charaterizing spatial patterns of trees using stem-mappeddata[J]. For Sci, 1993, 39: 756 - 775
[13]	Monserud R A. Time-series analysis of tree-ring chronologies[J].For Sci, 1986, 32: 349 - 372
[14]	J iquan Chen, Bo Song, Mark Rudnicki, et al. Spatial relationshipof biomass and species distribution in an old-growth PseudotaugaTsuga forest[J]. For Sci, 2004, 50 (3) : 364 - 376
[15]	Bradshaw G A, Sp ies T A. Characterizing canopy gap structure inforests using the wavelet transform [J]. J Ecol, 1992, 80: 205- 215
[16]	Chen J, Bradshaw G A. Forest structure in space: a case study ofan old growth spuce fir forest in Changbaishan Natural Reserve, PR China [J]. For EcolManage, 1999, 120: 205 - 215
[17]	Cressii N A. Statistics for Spatial Data[M]. New York: JohnWiley & Sona, 1993
[18]	Anselin L. Spatial Econometrics: Methods and Models [M]. TheNetherlands: Dordresht, KluwerAcademic Publishers, 1988
[19]	Anselin L. What is special about special data? Alternative perspectives on spatial data analysis[M] / / Griffith D. Spatial Statistica:Past, Present, and Future. Inst of Math Geog, Ann Arbor, MI,1990: 63 - 77
[20]	Anselin L. Griffith D A. Do spatial effects really matter in regression analysis[J]. Pap Reg Sci Assoc, 1988, 65: 11 - 34
[21]	DovciakM, Frelich L E, Reich P B. Discordance in spatial patterns ofwhite p ine size2classes in a patchy near2boreal forest[J]. JEcol, 2001, 89: 280 - 291
[22]	Gregoire T G, Schabenberger O, Barrett J P. Linear modelling ofirregular spaced, unbalanced, longitudinal data from permanentp lotmeasurements[J]. Can J For Res, 1995, 25: 137 - 156
[23]	Gregoire T G, SchabenbergerO. A non-linear mixed-effectsmodelto p redict cumulative bole volume of standing trees[J]. J App l Sta,1996, 23: 257 - 271
[24]	Lapp i J. Calibration of height and volume equations with randomparameters[J]. For Sci, 1991, 37: 781 - 801
[25]	Haijin Shi, Lianjun Zhang, J ianguo Liu. A new spatial-attributeweighting function for geographically weighted regression [J]. CanJ For Res, 2006, 36 (4) : 996 - 1006
[26]	Krummel J P, Gardner R H, Sugihara G, et al. Landscape patternsin a disturbed environment[J]. Oikos, 1987, 48: 321 - 324
[27]	Robertson G P, HustonM A, Evans F C, et al. Spatial patterns ina successional p lant community: patterns of nitrogen availability[J]. Ecology, 1988, 69: 1517 - 1524
[28]	Legendre P, Fortin M J. Spatial pattern and ecological analysis[J]. Vegetatio, 1989, 80: 107 - 138
[29]	de Blois S, Domon G, Bouchard A. Landscape issues in p lant ecology[J]. Ecography, 2002, 25: 244 - 256
[30]	J illM N, David L P. Spatial variability in forest growth-climate relationship s in the Olymp ic Mountains, Washington [J]. Can J ForRes, 2006, 36 (1) : 77 - 92
[31]	Visser H. Note on the relation between ring widths and basal areaincrements[J]. For Sci, 1995, 41: 297 - 304

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Spatial Heterogene ities of Tree Growth in Subtropica lMounta in Broad-leavedM ixed Forest

1. Key Laboratory of Forest Ecological Engineering, Sichuan Agricultural University, Yapan　625014, Sichuan, China

Received Date: 2007-12-26

Abstract: One permanent p lot with 100 m ×100 m was established to study the structure and function of mountainbroad-leaved mixed forest ecosystem in southwestern Sichuan (102°50′E, 30°02′N). The relative position of everytree wasmeasured by compass. By analysis of geostatistics, diameter at breast height and basal area of forest standshowed spatial autocorrelations in strict ranges, further more, they rep resented spatial varieties only in orientationsof 45 degree; basal area increment (BA I) of each tree species showed spatial varieties only in orientations of 45degree during 1986—1991, 1986—1996, 1986—2001, 1986—2006. Researches on spatial heterogeneities of treeBA I could put afford meaningful references for studying ecological structures and functions of subtrop icalMountainbroad-leaved mixed forest.

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Reference (31)

[1]	Baidwin V C, Peterson KD, Burkilart H E, et al. Equation for estimating loblolly p ine branch and foliageweight and surface area distributions [J]. Can J For Res, 1997, 27: 918 - 927
[2]	唐守正,李希菲,孟昭和. 林分生长模型研究的进展[J]. 林业科学研究, 1993, 6 (6) : 672 - 679
[3]	Bailey R L. A compatible volume-tape model based on the schumacher and hall generalized constant form factor volume equation [J].For Sci, 1994, 40: 303 - 313
[4]	Yang X, Witcosky J J, Miller J J. Vertical overstory canopy architecture of temperate deciduous hardwood forests in the Eastern UnitedStates [J]. For Sci, 1999, 45 (3) : 349 - 358
[5]	Zhang Yujia, Bruce E B, Rodney E W, et al. A model for foliageand branch biomass p rediction for intensively managed fast growingloblolly p ine [J]. For Sci, 2004, 50 (1) : 65 - 81
[6]	Wichmann L. Modelling the effects of competion between individualtrees in forest stands [D]. Copenhagen: Royal Veterinary and Agricultural University, 2002: 112
[7]	Melisa L H, David L P. Spatial and temporal variability in forestgrowth in the Olymp icMountains, Washington: sensitivity to climaticvariability[J]. Can J For Res, 2006, 36 (1) : 92 - 105
[8]	Koistinen E, Valkonen S. Models for height development of Norwaysp ruce and Scots p ine advance growth after release in southern Finland[J]. Sil Fen, 1993, 27: 179 - 194
[9]	Kuuluvalnen T, Pukkala T. Effect of crown shape and tree distribution on the spatial distribution of shade [J]. Agric For Meteorol,1987, 40: 215 - 231
[10]	Gregoire T G, SchabenbergerO. A non-linear mixed-effectsmodelto p redict cumulative bole volume of standing trees[J]. J App l Sta,1996, 23: 257 - 271
[11]	Kenkel N C, Hoskina J A, HoskinsW D. Local competition in anaturally established jack p ine stand [J]. Can J Bot, 1989, 67:2630 - 2635
[12]	MoeurM. Charaterizing spatial patterns of trees using stem-mappeddata[J]. For Sci, 1993, 39: 756 - 775
[13]	Monserud R A. Time-series analysis of tree-ring chronologies[J].For Sci, 1986, 32: 349 - 372
[14]	J iquan Chen, Bo Song, Mark Rudnicki, et al. Spatial relationshipof biomass and species distribution in an old-growth PseudotaugaTsuga forest[J]. For Sci, 2004, 50 (3) : 364 - 376
[15]	Bradshaw G A, Sp ies T A. Characterizing canopy gap structure inforests using the wavelet transform [J]. J Ecol, 1992, 80: 205- 215
[16]	Chen J, Bradshaw G A. Forest structure in space: a case study ofan old growth spuce fir forest in Changbaishan Natural Reserve, PR China [J]. For EcolManage, 1999, 120: 205 - 215
[17]	Cressii N A. Statistics for Spatial Data[M]. New York: JohnWiley & Sona, 1993
[18]	Anselin L. Spatial Econometrics: Methods and Models [M]. TheNetherlands: Dordresht, KluwerAcademic Publishers, 1988
[19]	Anselin L. What is special about special data? Alternative perspectives on spatial data analysis[M] / / Griffith D. Spatial Statistica:Past, Present, and Future. Inst of Math Geog, Ann Arbor, MI,1990: 63 - 77
[20]	Anselin L. Griffith D A. Do spatial effects really matter in regression analysis[J]. Pap Reg Sci Assoc, 1988, 65: 11 - 34
[21]	DovciakM, Frelich L E, Reich P B. Discordance in spatial patterns ofwhite p ine size2classes in a patchy near2boreal forest[J]. JEcol, 2001, 89: 280 - 291
[22]	Gregoire T G, Schabenberger O, Barrett J P. Linear modelling ofirregular spaced, unbalanced, longitudinal data from permanentp lotmeasurements[J]. Can J For Res, 1995, 25: 137 - 156
[23]	Gregoire T G, SchabenbergerO. A non-linear mixed-effectsmodelto p redict cumulative bole volume of standing trees[J]. J App l Sta,1996, 23: 257 - 271
[24]	Lapp i J. Calibration of height and volume equations with randomparameters[J]. For Sci, 1991, 37: 781 - 801
[25]	Haijin Shi, Lianjun Zhang, J ianguo Liu. A new spatial-attributeweighting function for geographically weighted regression [J]. CanJ For Res, 2006, 36 (4) : 996 - 1006
[26]	Krummel J P, Gardner R H, Sugihara G, et al. Landscape patternsin a disturbed environment[J]. Oikos, 1987, 48: 321 - 324
[27]	Robertson G P, HustonM A, Evans F C, et al. Spatial patterns ina successional p lant community: patterns of nitrogen availability[J]. Ecology, 1988, 69: 1517 - 1524
[28]	Legendre P, Fortin M J. Spatial pattern and ecological analysis[J]. Vegetatio, 1989, 80: 107 - 138
[29]	de Blois S, Domon G, Bouchard A. Landscape issues in p lant ecology[J]. Ecography, 2002, 25: 244 - 256
[30]	J illM N, David L P. Spatial variability in forest growth-climate relationship s in the Olymp ic Mountains, Washington [J]. Can J ForRes, 2006, 36 (1) : 77 - 92
[31]	Visser H. Note on the relation between ring widths and basal areaincrements[J]. For Sci, 1995, 41: 297 - 304

Spatial Heterogene ities of Tree Growth in Subtropica lMounta in Broad-leavedM ixed Forest

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Spatial Heterogene ities of Tree Growth in Subtropica lMounta in Broad-leavedM ixed Forest

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