Have a personal or library account? Click to login
Effect of sample plot size and shape on estimates of structural indices: A case study in mature silver birch (Betula pendula Roth) dominating stand in Järvselja
Adermann, V. 2010. Estonia (National forest inventory report). – Tomppo, E., Gschwantner, T., Lawrence, M., McRoberts, R.E. (eds.). National forest inventories: pathways for common reporting (NFI reports section). Heidelberg, Springer, 171–184.
Aguirre, O., Hui, G.Y., Gadow, K., Jiménez, J. 2003. An analysis of spatial forest structure using neighbourhood-based variables. – Forest Ecology and Management, 183, 137–145.
Albert, M. 1999. Analysis of thinning-induced changes in stand structure and modelling of thinnings in mixed-species stands. PhD Thesis, Faculty of Forestry and Forest Ecology, University of Göttingen. 195 pp.
Anselin, L. 1996. The Moran scatterplot as an ESDA tool to assess local instability in spatial association. – Fisher, M., Scholten, H., Unwin, D. (eds.). Spatial Analytical Perspectives on GIS. London, Taylor & Francis, 111–125.
Bellehumeur, C., Legendre, P., Marcotte, D. 1997. Variance and spatial scales in a tropical rain forest: changing the size of sampling units. – Plant Ecology, 130, 89–98.
Bobiec, A. 2002. Living stands and dead wood in the Bialowieza forest: suggestions for restoration management. – Forest Ecology and Management, 165, 125–140.
Burgman, M.A., Incoll, W., Ades, P.K., Ferguson, I., Fletcher, T.D., Wohlers, A. 1994. Mortality models for mountain and alpine ash. – Forest Ecology and Management, 67, 319–327.
Chen, J.Q., Song, B., Rudnicki, M., Moeur, M., Bible, K., North, M., Shaw, D.C., Franklin, J.F., Braun, D.M. 2004. Spatial relationship of biomass and species distribution in an old-growth Pseudotsuga-Tsuga forest. – Forest Science, 50, 364–375.
Cohen, W.B., Spies, T.A., Bradshaw, G.A. 1990. Semivariograms of digital imagery for analysis of conifer canopy structure. – Remote Sensing of Environment, 34, 167–178.
Conkle, M. 1963. The determination of experimental plots size and shape in loblolly and slash pines. North California State University, School of Forestry. – Technology Report, 17, 51 pp.
Corona, P., Saracino, A., Leone, V. 1998. Plot size and shape for the early assessment of post-fire regeneration in Aleppo pine stands. – New Forests, 16, 213–220.
Donnelly, K. 1978. Simulation to determine the variance and edge effect of total nearest neighbour distance. – Hodder, I.R. (ed.). Simulation methods in archaeology. Cambridge University Press, London, 91–95.
Fajardo, A., Gonzalez, M.E. 2009. Replacement patterns and species coexistence in an Andean Araucaria-Nothofagus forest. – Journal of Vegetation Science, 20, 1176–1190.
Fischer, A., Lindner, M., Abs, C., Lasch, P. 2002. Vegetation dynamics in central European forest ecosystems (near-natural as well as managed) after storm events. – Folia Geobotanica, 37, 17–32.
Franklin, J.F., Spies, T.A., Van Pelt, R., Carey, A.B., Thornburgh, D.A., Berg, D.R., Lindenmayer, D.B., Harmon, M.E., Keeton, W.S., Shaw, D.C., Bible, K., Chen, J. 2002. Disturbances and structural development of natural forest ecosystems with silvicultural implications, using Douglasfir forests as an example. – Forest Ecology and Management, 155, 399–423.
Frazer, G.W., Magnussen, S., Wulder, M.A., Niemann, K.O. 2011. Simulated impact of sample plot size and co-registration error on the accuracy and uncertainty of LiDAR-derived estimates of forest stand biomass. – Remote Sensing of Environment, 115(2), 636–649.
Frolking, S., Palace, M., Clark, D.B., Chambers, J.Q., Shugart, H.H., Hurtt, G.C. 2009. Forest disturbance and recovery – A general review in the context of space-borne remote sensing of impacts on aboveground biomass and canopy structure. – Journal of Geophysical Research, 114, G00E02.
von Gadow, K., Hui, G. 2002. Characterizing forest spatial structure and diversity. – Bjoerk, L. (ed.). Proceedings IUFRO International Workshop: Sustainable Forestry in Temperate Regions. Lund, Sweden, 20–30.
von Gadow, K., Hui, G.Y., Albert, M. 1998. The neighbourhood pattern – a new parameter for describing forest structure. – Das Austrian Journal of Forest Science / Centralblatt für das gesamte Forstwesen, 115, 1–10.
Gleichmar, W., Gerold, D. 1998. Indexes for the description of the horizontal tree distribution. (Indizes zur Charakterisierung der horizontalen Baumverteilung). – Forstwissenschaftliches Central blatt, 117, 69–80. (In German).10.1007/BF02832960
Hui, G.Y., von Gadow, K. 2002. The optimal standard angle of the uniform angle index. – Zeitschrift für Forstwirtschaft und Forstwissenschaft, 173, 173–177. (In German).
Hynynen, J., Niemisto, P., Vihera-Aarnio, A., Brunner, A., Hein, S., Velling, P. 2010. Silviculture of birch (Betula pendula Roth and Betula pubescens Ehrh.) in northern Europe. – Forestry, 83,103–119.
Kint, V., De Wulf, R., Lust, N. 2004. Evaluation of sampling methods for the estimation of structural indices in forest stands. – Ecological Modelling, 180, 461–476.
Kint, V., Lust, N., Ferris, R., Olsthoorn, A.F.M. 2000. Quantification of forest stand structure applied to Scots pine (Pinus sylvestris L.) forests. – Investigación Agraria: Sistemas y Recursos Forestales, Fuera de Serie, 1, 147–163.
Kint, V., Van Meirvenne, M., Nachtergale, L., Geudens, G., Lust, N. 2003. Spatial methods for quantifying forest stand structure development: a comparison between nearest-neighbor indices and variogram analysis. – Forest Science, 49, 36–49.
Kiviste, A., Hordo, M., Kangur, A., Kardakov, A., Laarmann, D., Lilleleht, A., Metslaid, S., Sims, A., Korjus, H. 2015. Monitoring and modeling of forest ecosystems: the Estonian Network of Forest Research Plots. – Forestry Studies / Metsanduslikud Uurimused, 62, 26–38.
Král, K., Valtera, M., Janík, D., Šamonil, P., Vrška, T. 2014. Spatial variability of general stand characteristics in central European beech-dominated natural stands-Effects of scale. – Forest Ecology and Management, 328, 353–364.
Kuusk, A., Lang, M., Kuusk, J. 2013. Database of optical and structural data for the validation of forest radiative transfer models. –Kokhanovsky, A.A. (ed.). Radiative Transfer and Optical Properties of Atmosphere and Underlying Surface. Berlin-Heidelberg, Springer, 109–148.
Law, R., Illian, J., Burslem, DFRP., Gratzer, G., Gunatilleke, CVS., Gunatilleke, IAUN. 2009. Ecological information fromspatial patterns of plants: insights from point process theory. – Ecology, 97, 616–628.
Lingua, E., Cherubini, P., Motta, R., Nola, P. 2008. Spatial structure along an altitudinal gradient in the Italian central Alps suggests competition and facilitation among coniferous species. – Journal of Vegetation Science, 19, 425–436.
Lombardi, F., Marchetti, M., Corona, P., Merlini, P., Chirici, G., Tognetti, R., Burrascano, S., Alivernini, A., Puletti, N. 2015. Quantifying the effect of sampling plot size on the estimation of structural indicators in old-growth forest stands. – Forest Ecology and Management, 346, 89–97.
Loo-Dinkins, J., Tauer, C. 1987. Statistical efficiency of six progeny tests field designs on three loblolly pine (Pinus taeda L.) site types. – Canadian Journal of Forest Research, 17, 1066–1070.
Martin, G.L., Ek, AR., Monserud, R.A. 1977. Control of plot edge bias in forest stand growth simulation models. – Canadian Journal of Forest Research, 7, 100–105.
Næsset, E., Bollandsås, O.M., Gobakken, T., Solberg, S., McRoberts, R.E. 2015. The effects of field plot size on model-assisted estimation of aboveground biomass change using multitemporal interferometric SAR and airborne laser scanning data. – Remote Sensing of Environment, 168, 252–264.10.1016/j.rse.2015.07.002
Naumburg, E., DeWald, L.E. 1999. Relationships between Pinus ponderosa forest structure, light characteristics, and understory gRAMInoid species presence and abundance. – Forest Ecology and Management, 124, 205–215.
Navarro-Cerrillo, R.M., Manzanedo, R.D., Bohorque, J., Sánchez, R., Sánchez, J., Miguel, S.d., Solano, D., Qarro, M., Griffith, D., Palacios, G. 2013. Structure and spatio-temporal dynamics of cedar forests along a management gradient in the Middle Atlas. Morocco. – Forest Ecology and Management, 289, 341–353.
Palace, W.M., Sullivan, B.F., Ducey, M.J., Treuhaft, N.R., Herrick, C., Shimbo, J.Z., Mota-E-Silva, J. 2015. Estimating forest structure in a tropical forest using field measurements, a synthetic model and discrete return lidar data. – Remote Sensing of Environment, 161, 1–11.
Pommerening, A., von Gadow, K. 2000. Among the possibilities and limits of detection structure with forest inventories. (Zu den Möglichkeiten und Grenzen der Strukturerfassung mit Waldinventuren). – Forst und Holz, 55, 622–631. (In German).
Pommerening, A., Stoyan, D. 2006. Edge-correction needs in estimating indices of spatial forest structure. – Canadian Journal of Forest Research, 36, 1723–1739.
Pommerening, A., Stoyan, D. 2006. Edge-correction needs in estimating indices of spatial forest structure. – Canadian Journal of Forest Research, 36, 1723–1739.
Sallabanks, R., Riggs, R.A., Cobb, L.E. 2002. Bird use of forest structural classes in grand fir forests of the Blue Mountains, Oregon. – Forest Science. 48, 311–321.
Travaglini, D., Fattorini, L., Barbati, A., Bottalico, F., Corona, P., Ferretti, M., Chirici, G. 2013. Towards a sampling strategy for the assessment of forest condition at European level: combining country estimates. – Environmental Monitoring and Assessment, 185, 3255–3268.
Unger, M., Homeier, J., Leuschner, C. 2013. Relationships among leaf area index, below-canopy light availability and tree diversity along a transect from tropical lowland to montane forests in NE Ecuador. – Tropical Ecology, 54, 33–45.
Wrigley, N., Holt, T., Steel, D., Tranmer, M. 1996. Analyzing, modeling, and resolving the ecological fallacy. – Longley, P., Batty, M. (eds.). Spatial Analysis: Modeling in GIS Environment. New York, John Wiley & Sons, 23–30.