Analysis of OF-layer humus mass variation in a mixed stand of European beech and Norway spruce: An application of structural equation modelling

Ecological Modelling

Volumn 213, Issue 3-4, 2008, Pages 319-330

  Wälder, Konrad ^a   Frischbier, Nico ^b   Bredemeier, Michael ^c   Näther, Wolfgang ^a   Wagner, Sven ^b  

^a TU BERGAKADEMIE FREIBERG   (Germany)

^b DRESDEN UNIVERSITY OF TECHNOLOGY   (Germany)

^c UNIVERSITY OF GÖTTINGEN   (Germany)

Author keywords

European beech; Forest humus mass variation; Humus decomposition; LISREL; Mixed stand; Norway spruce; Structural equation model

Indexed keywords

ECOLOGY; FORESTRY; NUTRIENTS; WATER;

FOREST HUMUS MASS VARIATION; HUMUS DECOMPOSITION; STRUCTURAL EQUATION MODELS;

BIOMASS;

CONIFEROUS TREE; DECIDUOUS TREE; ECOLOGICAL MODELING; FOREST CANOPY; HUMUS; RESEARCH; SPATIAL VARIATION; STAND STRUCTURE;

ECOLOGY; FAGUS SYLVATICA; HUMUS; PICEA ABIES;

FAGUS; FAGUS SYLVATICA; PICEA; PICEA ABIES;

EID: 41149117396     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2007.12.014     Document Type: Article

References (52)

1. Albers D., Migge S., Schaefer M., and Scheu S. Decomposition of beech leaves (Fagus sylvatica) and spruce needles (Picea abies) in pure and mixed stands of beech and spruce. Soil Biol. Biochem. 36 (2004) 155-164
2. Ammer C., and Wagner S. Problems and options in modelling fine root biomass of single mature Norway spruce trees at given points from stand data. Can. J. For. Res. 32 (2002) 581-590
3. Andersen C.P., Nikolov I., Nikolova P., Matyssek R., and Häberle K.H. Estimating "autotrophic" belowground respiration in spruce and beech forests: decreases following girdling. Eur. J. For. Res. 124 (2005) 155-163
4. Arbuckle J.L., and Wothke W. Amos 4.0 User's Guide (1999), SmallWaters Corporation, Chicago, IL, USA 452 pp.
5. Arhonditsis G.B., Stow C.A., Steinberg L.J., Kenney M.A., Lathrop R.C., McBride S.J., and Reckhow K.H. Exploring ecological patterns with structural equation modeling and Bayesian analysis. Ecol. Modell. 192 (2006) 385-409
6. Augusto L., Ranger J., Binkley D., and Rothe A. Impact of several common tree species of European temperate forests on soil fertility. Ann. For. Sci. 59 (2002) 233-253
7. Aussenac G. Interactions between forest stands and microclimate: exophysiological aspects and consequences for silviculture. Ann. For. Sci. 57 (2000) 287-301
8. Baltes-Götz, B., 2005. Analyse von Strukturgleichungsmodellen mit AMOS 5.0. Universitätsrechenzentrum Trier, 69 pp.
9. Barkman J.J. Canopies and microclimate of tree species mixtures. In: Cannell M.G.R., Molcolm D.C., and Robertson P.A. (Eds). Special Publication Number 11 of the British Ecological Society (1992), Blackwell Scientific Publications, Oxford 181-188
10. Bens O., Buczko U., Sieber S., and Hüttl R.F. Spatial variability of O layer thickness and humus forms under different pine beech-forest transformation stages in NE Germany. Plant Nutr. Soil Sci. 169 (2006) 5-15
11. Boettcher S.E., and Kalisz P.J. Single-tree influence on soil properties in the mountains of eastern Kentucky. Ecology 71 (1990) 1365-1372
12. Bolte A., and Villanueva I. Interspecific competition impacts on the morphology and distribution of fine roots in European beech (Fagus sylvatica L.) and Norway spruce (Picea abies (L.) Karst.). Eur. J. For. Res. 125 (2006) 15-26
13. Bortz J. Statistik für Human- und Sozialwissenschaftler. 6th ed. (2004), Springer Medizin Verlag, Heidelberg 882 pp.
14. Brown A.H.F. Functioning of mixed-species stands at Gisburn, N.W. England. In: Cannell M.G.R., Molcolm D.C., and Robertson P.A. (Eds). Special Publication Number 11 of the British Ecological Society (1992), Blackwell Scientific Publications, Oxford 125-150
15. Byrne B.M. Structural Equation Modeling with AMOS. Basic Concepts, Applications and Programming (2001), Lawrence Erlbaum Associates, London 338 pp.
16. Canham C.D., Finzi A.C., Pacala S.W., and Burbank D.H. Causes and consequences of resource heterogeneity in forests: interspecific variation in light transmission by canopy trees. Can. J. For. Res. 24 (1994) 337-349
17. Eimern v.J., and Ehrhardt O. Zur räumlichen und zeitlichen Variabilität von Strahlung und Temperatur an der Boden- und Kronenoberfläche eines Buchenwaldes. Forstarchiv 56 (1985) 181-186
18. Ellenberg H., Mayer R., and Schauermann L. Ökosystemforschung - Ergebnisse des Sollingprojekts 1966-1986 (1986), Eugen Ulmer, Stuttgart
19. Ferrari J.B., and Sugita S. A spatially explicit model of leaf litter fall in hemlock-hardwood forests. Can. J. For. Res. 26 (1996) 1905-1913
20. Finzi A.C., van Breemen N., and Canham C.D. Canopy tree-soil interactions within temperate forests: species effects on soil carbon and nitrogen. Ecol. Appl. 8 (1998) 440-446
21. Finzi A.C., Canham C.D., and van Breemen N. Canopy tree-soil interactions within temperate forests: species effects on pH and cations. Ecol. Appl. 8 (1998) 447-454
22. Fujinuma R., Bockheim J., and Balster N. Base-cation cycling by individual tree species in old-growth forests of Upper Michigan, USA. Biogeochemistry 74 (2005) 357-376
23. Galoux, A., 1973. Flux d'énergie radiante, conversion et transfer dans l'écosystéme (1964-1967). Min.Agriculture, Station de Recherche des Eaux et Foréts. Groenendaal-Hoeilaart, Travaux Série A, No. 14.
24. Hagemeier, M., 2002. Funktionale Kronenarchitektur mitteleuropäischer Baumarten am Beispiel von Hängebirke, Waldkiefer, Traubeneiche, Hainbuche, Winterlinde und Rotbuche. 20 Dissertationes Botanicae 361, J. Cramer, Berlin, 154 pp.
25. Harper J.L. Population Biology of Plants (Ninth Impression) (1994), Academic Press Inc., London 892 pp.
26. Jöreskog K.G. A general model for estimating a linear structural equation system. In: Goldberger A.S., and Duncan O.D. (Eds). Structural Equation Models in The Social Sciences (1973), Seminar Press, New York, NY, USA 85-112
27. Jöreskog K.G. Analysis if covariance structures. Scand. J. Stat. 8 (1981) 65-92
28. Kiese, O., 1972. Bestandesmeteorologische Untersuchungen zur Bestimmung des Wärmehaushalts eines Buchenwaldes. Ber. Inst. Meteor. Klimat. Univ. Hannover No. 6.
29. Kloidt, M., 1989. Untersuchungen zum Abbau der Buchenblattstreu durch Pilze - unter besonderer Berücksichtigung der Ascomyceten. Dissertationes Botanicae der Universität Göttingen. Band 130. J. Cramer, Verlag, Berlin, Stuttgart.
30. Laughlin D.C., and Abella S.R. Abiotic and biotic factors explain gradients of plant community composition in ponderosa pine forests. Ecol. Modell. 205 (2007) 231-240
31. Lücke K., and Schmidt W. Vegetation und Standortverhältnisse in Buchen-Fichten-Mischbeständen des Sollings. Forstarchiv 68 (1997) 135-143
32. Mardulyn P., Godden B., Echezarreta P.A., Penninckx M., Gruber W., and Herbauts J. Changes in humus microbiological activity induced by the substitution of the natural beech forest by Norway spruce in Belgian Ardennes. For. Ecol. Manage. 59 (1993) 15-27
33. McClaugherty C.A., Pastor J., Aber J.D., and Melillo J.M. Forest litter decomposition in relation to soil nitrogen dynamics and litter quality. Ecology 66 (1985) 266-275
34. Meiwes, K.J., König, N., Khanna, P.K., Prenzel, J., 1984. Chemische Untersuchungsverfahren für Mineralboden, Auflagehumus und Wurzeln zur Charakterisierung und Bewertung der Versauerung in Waldböden. Berichte des Forschungszentrums Waldökosysteme/Waldsterben der Universität Göttingen. Band 7.
35. Mitscherlich, G., 1981. Wald, Wachstum und Umwelt. Eine Einführung in die ökologischen Grundlagen des Waldwachstums. Band 2, Waldklima und WasserhaushaltJ.D. Sauerländers Verlag, Frankfurt a. M., 546 pp.
36. Mueller R.O. Basic Principles of Structural Equation Modelling: An Introduction to LISREL and EQS (1996), Springer-Verlag, New York, NY, USA 229 pp.
37. Näther W., and Wälder K. Experimental design and statistical inference-with applications to the fruit dispersion of anemochorous forest trees. Biometr. J. 45 (2003) 1006-1022
38. Palik B., Mitchell R.J., Pecot S., Battaglia M., and Pu M. Spatial distribution of overstory retention influences resources and growth of longleaf pine seedlings. Ecol. Appl. 13 (2003) 674-686
39. Prescott C.E. The influence of the forest canopy on nutrient cycling. Tree Physiol. 22 (2002) 1193-1200
40. Pukkala T., and Kolström T.A. Stochastic spatial regeneration model for Pinus sylvestris. Scand. J. For. Res. 7 (1992) 377-385
41. Reif, B., Eberl, C., 1994. Merkmale von Humusformen in bewirtschafteten Buchen-, Fichtenund Mischbeständen beider Baumarten in der montanen Stufe des Harzes. Mitteilungen der Deutschen Bodenkundlichen Gesellschaft, 74, 61-64.
42. Rothe A., Kreutzer K., and Küchenhoff H. Influence of tree species composition on soil and soil solution properties in two mixed spruce-beech stands with contrasting history in Southern Germany. Plant Soil 240 (2002) 47-56
43. Saetre P., and Baath E. Spatial variation and patterns of soil microbial community structure in a mixed spruce-birch stand. Soil Biol. Biochem. 32 (2000) 909-917
44. In: Scherer-Lorenzen M., Körner C., and Schulze E.-D. (Eds). Forest Diversity and Functional Ecological Studies, No. 176 (2005), Springer-Verlag, Berlin/Heidelberg/New York 400 pp.
45. Scheu, S., 2005. Linkages between tree diversity, soil fauna and ecosystem processes. In: Scherer-Lorenzen, M., Körner, C., Schulze, E.-D. (Eds.), Forest Diversity and Function Ecological Studies, No.176. Springer-Verlag, Berlin/Heidelberg/New York, pp. 211-233.
46. Schume H., Jost G., and Hager H. Soil water depletion and recharge patterns in mixed and pure forest stands of European beech and Norway spruce. J. Hydrol. 289 (2004) 258-274
47. Sollins P., Homann P., and Caldwell B.A. Stabilization and destabilization of soil organic matter: mechanisms and controls. Geoderma 74 (1996) 65-105
48. Staelens J., Nachtergale L., and Luyssart S. Predicting the spatial distribution of leaf litterfall in a mixed deciduous forest. For. Sci. 50 (2004) 836-846
49. Tu S.-H., Wang D.-H., and Lin C.-J. Analysis of recreational satisfaction in the Shanping forest ecological scientific garden-an application of the LISREL model. Taiwan J. For. Sci. 15 (2000) 189-200
50. Wagner S. Calibration of grey values of hemispherical photographs for image analysis. Agric. For. Meteorol. 90 (1998) 103-117
51. Wagner S. Relative radiance measurements and zenith angle dependent segmentation in hemispherical photography. Agric. For. Meteorol. 107 (2001) 103-115
52. Wagner S., and Hagemeier M. Method of segmentation affects leaf inclination angle estimation in hemispherical photography. Agric. For. Meteorol. 139 (2006) 12-24