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iForest - Biogeosciences and Forestry

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The effect of the calculation method, plot size, and stand density on the accuracy of top height estimation in Norway spruce stands

Wojciech Ochal   , Jaroslaw Socha, Marcin Pierzchalski

iForest - Biogeosciences and Forestry, Volume 10, Issue 2, Pages 498-505 (2017)
doi: https://doi.org/10.3832/ifor2108-010
Published: Apr 12, 2017 - Copyright © 2017 SISEF

Research Articles


The aim of this study was to evaluate top height (TH) estimates for Norway spruce stands calculated according to different computational methods, and to assess the effects of stand density and plot size on TH estimation accuracy. Field data were collected from twelve 1 ha research plots located in even-aged spruce stands. Conventional estimates were found to generally overstate TH. The accuracy of TH estimation was dependent on sample plot size. TH estimation error decreased rapidly with increasing sample plot area, but only up to a certain cut-off point. Errors in TH estimation were also related to local stand density, with low and very high density levels leading to decreased accuracy. The most reliable TH estimates were obtained using the U-estimator method, which is resistant to changes in sample plot size.

  Keywords


Forest Inventory, Site Index, Bias, Accuracy, Picea abies

Authors’ address

(1)
Wojciech Ochal
Jaroslaw Socha
Marcin Pierzchalski
Department of Biometry and Forest Productivity, University of Agriculture in Cracow, Al. 29-Listopada 46, 31-425 Cracow (Poland)

Corresponding author

 
Wojciech Ochal
w.ochal@ur.krakow.pl

Citation

Ochal W, Socha J, Pierzchalski M (2017). The effect of the calculation method, plot size, and stand density on the accuracy of top height estimation in Norway spruce stands. iForest 10: 498-505. - doi: 10.3832/ifor2108-010

Academic Editor

Davide Travaglini

Paper history

Received: May 09, 2016
Accepted: Jan 24, 2017

First online: Apr 12, 2017
Publication Date: Apr 30, 2017
Publication Time: 2.60 months

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List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Bruchwald A (1972)
Badanie dokladnosci okreslania piersnicowej powierzchni przekroju drzewostanu na podstawie powierzchni próbnych w drzewostanach sosnowych [Examination of the accuracy of dbh basal area determination for a stand on the basis of sample plots in pine stands]. Sylwan 116 (4): 55-72. [in Polish with English summary]
Gscholar
(2)
Bruchwald A, Dudek A, Michalak K, Rymer-Dudzinska T, Wroblewski L, Zasada M (1999)
Model wzrostu dla drzewostanów swierkowych [A growth model for spruce stands]. Sylwan 143 (1): 19-31. [in Polish with English summary]
Gscholar
(3)
Elfving B, Kiviste A (1997)
Construction of site index equations for Pinus sylvestris L. using permanent plot data in Sweden. Forest Ecology and Management 98: 125-134.
CrossRef | Gscholar
(4)
Fox JC, Bi H, Ades PK (2007)
Spatial dependence and individual-tree growth models II: modelling spatial dependence. Forest Ecology and Management 245: 20-30.
CrossRef | Gscholar
(5)
Fries J (1974)
Praktisk bonitering [Practical site classification]. Sveriges Skogsvärdsförbunds Tidskrift 72: 551-563. [in Swedish with English summary]
Gscholar
(6)
García O (1998)
Estimating top height with variable plot size. Canadian Journal of Forest Research 28: 1509-1517.
CrossRef | Gscholar
(7)
García O, Batho A (2005)
Top height estimation in Lodgepole Pine sample plots. Western Journal of Applied Forestry 20: 64-68.
Online | Gscholar
(8)
Gruba P, Hejdak M, Koryl O (2009)
Przestrzenna zmiennosć pH w wierzchnich poziomach gleb lesnych [Spatial variability of pH in top horizons of forest soil]. Sylwan 153 (5): 406-412. [in Polish with English summary]
Gscholar
(9)
Kenkel NC, Hendrie ML, Bella IE (1997)
A long term study of Pinus banksiana population dynamics. Journal of Vegetation Science 8: 241-254.
CrossRef | Gscholar
(10)
Magnussen S (1994)
A method to adjust simultaneously for spatial microsite and competition effects. Canadian Journal of Forest Research 24: 985-995.
CrossRef | Gscholar
(11)
Magnussen S (1999)
Effect of plot size on estimates of top height in Douglas-Fir. Western Journal of Applied Forestry 14: 17-27.
Online | Gscholar
(12)
Monserud RA, Moody U, Breuer DW (1990)
A soil-site study for inland Douglas-fir. Canadian Journal of Forest Research 20: 686-695.
CrossRef | Gscholar
(13)
Naesset E, Tveite B (1999)
Stand volume functions for Picea abies in Eastern, Central and Northern Norway. Scandinavian Journal of Forest Research 27: 619-636.
CrossRef | Gscholar
(14)
Ochal W (2007)
Dokladnosć okreslania piersnicowego pola przekroju drzewostanów bukowych na podstawie powierzchni próbnych. [The accuracy of estimates of basal area in beech stands using sample plots]. Sylwan 151 (11): 10-21. [in Polish with English summary]
Gscholar
(15)
Paluch J, Gruba P (2010)
Relationship between local stand density and local species composition and nutrient content in the topsoil of pure and mixed stands of silver fir (Abies alba Mill.). European Journal of Forest Research 129: 509-520.
CrossRef | Gscholar
(16)
Paluch J, Gruba P (2012a)
Inter-crown versus under-crown area: contribution of local configuration of trees to variation in topsoil morphology, pH and moisture in Abies alba Mill. forests. European Journal of Forest Research 131: 857-870.
CrossRef | Gscholar
(17)
Paluch J, Gruba P (2012b)
Effect of local species composition on topsoil properties in mixed stands with silver fir (Abies alba Mill.). Forestry 85: 413-426.
CrossRef | Gscholar
(18)
Reineke LH (1933)
Perfecting a stand-density index for even-aged forests. Journal of Agricultural Research 46: 627-638.
Online | Gscholar
(19)
Rennolls K (1978)
Top height: its definition and estimation. The Commonwealth Forestry Review 57: 215-219.
Online | Gscholar
(20)
Rennolls K (1979)
A contribution to the mathematics of top height. In: Proceedings of the meeting “IUFRO Subject Group S 6.02” (Schopfer W ed). Frieburg, Germany, pp. 187-195.
Gscholar
(21)
Ritchie M, Zhang J, Hamilton T (2012)
Effects of stand density on top height estimation for Ponderosa pine. Western Journal of Applied Forestry 27: 18-24.
Online | Gscholar
(22)
Sharma M, Amateis RL, Burkhart HE (2002)
Top height definition and its effect on site index determination in thinned and unthinned loblolly pine plantations. Forest Ecology and Management 168: 163-175.
CrossRef | Gscholar
(23)
Sharma RP, Brunner A, Eid T, Oyen BH (2011)
Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors. Forest Ecology and Management 262: 2162-2175.
CrossRef | Gscholar
(24)
Sharma RP, Brunner A, Eid T (2012)
Site index prediction from site and climate variables for Norway spruce and Scots pine in Norway. Scandinavian Journal of Forest Research 27: 619-636.
CrossRef | Gscholar
(25)
Skovsgaard JP, Vanclay JK (2008)
Forest site productivity: a review of the evolution of dendrometric concepts for even-aged stands. Forestry 81: 13-31.
CrossRef | Gscholar
(26)
Socha J, Orzel S (2011)
Dynamiczne krzywe bonitacyjne dla drzewostanów sosnowych Puszczy Niepolomickiej [Dynamic site index curves for Scots pine stands in Niepolomice Primeval Forest]. Sylwan 155 (5): 301-312. [in Polish with English summary]
Gscholar
(27)
Socha J, Coops NC, Ochal W (2016)
Assessment of age bias in site index equations. iForest - Biogeosciences and Forestry 9: 402-408.
CrossRef | Gscholar
 

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