The influence of sampling unit size and spatial arrangement patterns on neighborhood-based spatial structure analyses of forest stands

Hongxinag Wang, Gongqiao Zhang, Gangying Hui, Yuanfa Li, Yanbo Hu, Zhonghua Zhao

Abstract


Aim of the study: Neighborhood-based stand spatial structure parameters can quantify and characterize forest spatial structure effectively. How these neighborhood-based structure parameters are influenced by the selection of different numbers of nearest-neighbor trees is unclear, and there is some disagreement in the literature regarding the appropriate number of nearest-neighbor trees to sample around reference trees. Understanding how to efficiently characterize forest structure is critical for forest management.

Area of study: Multi-species uneven-aged forests of Northern China

Material and methods: We simulated stands with different spatial structural characteristics and systematically compared their structure parameters when two to eight neighboring trees were selected.

Main results: Results showed that values of uniform angle index calculated in the same stand were different with different sizes of structure unit. When tree species and sizes were completely randomly interspersed, different numbers of neighbors had little influence on mingling and dominance indices. Changes of mingling or dominance indices caused by different numbers of neighbors occurred when the tree species or size classes were not randomly interspersed and their changing characteristics can be detected according to the spatial arrangement patterns of tree species and sizes.

Research highlights: The number of neighboring trees selected for analyzing stand spatial structure parameters should be fixed. We proposed that the four-tree structure unit is the best compromise between sampling accuracy and costs for practical forest management.

Keywords


Stand spatial structure; number of neighboring trees; uniform angle index; mingling; dominance.

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References


References

Aakala T, Fraver S, D'Amato AW, Palik BJ, 2013. Influence of competition and age on tree growth in structurally complex old-growth forests in northern Minnesota, USA. For Ecol Manag 308: 128-135.

Aguirre O, Hui G, Gadow Kv, Jiménez J, 2003. An analysis of spatial forest structure using neighbourhood-based variables. For Ecol Manag 183: 137-145.

Barbeito I, Fortin MJ, Montes F, Canellas I, 2009. Response of pine natural regeneration to small-scale spatial variation in a managed Mediterranean mountain forest. Appl Veg Sci 12: 488-503. http://dx.doi.org/10.1111/j.1654-109X.2009.01043.x

Bettinger P, Tang M, 2015. Tree-Level harvest optimization for structure-based forest management based on the species mingling index. Forests 6: 1121-1144. http://dx.doi.org/10.3390/f6041121

Dong L, Liu Z, Li F, Jiang L, 2014. Quantitative analysis of forest spatial structure and optimal species composition for the main forest types in Daxing'anling, Northeast China. Forest Research 27: 734-740.

Gadow Kv, Hui G, 1999. Modeling forest development. Kluwer academic publishers, Netherlands. http://dx.doi.org/10.1007/978-94-011-4816-0

Gadow Kv, Zhang CY, Wehenkel C, Pommerening A, Corral-Rivas J, Korol M, Myklush S, Hui GY, Kiviste A, Zhao XH, 2012. Forest structure and diversity. In: Pukkala T, Gadow Kv. (Eds.), Continuous Cover Forestry, Book Series Managing Forest Ecosystems. Springer Science+Business Media B.V., 29–84 pp. http://dx.doi.org/10.1007/978-94-007-2202-6_2

Gao G, Ding G, Wang H, Zang Y, Liang W, An Y, He Y, 2013. Short Communication. Restoring monoculture plantation using stand spatial structure analysis. Forest Syst 22: 147-151. http://dx.doi.org/10.5424/fs/2013221-03294

Graz FP, 2004. The behavior of the species mingling index Msp in relation to species dominance and dispersion. Eur J Forest Res 123: 87–92. http://dx.doi.org/10.1007/s10342-004-0016-8

Graz FP, 2006. Spatial diversity of dry savanna woodlands: assessing the spatial diversity of a dry savanna woodland stand in northern Namibia using neighborhood-based measures. Biodivers Conserv 15:1143–1157. http://dx.doi.org/10.1007/s10531-004-3105-6

Graz FP, 2008. The behaviour of the measure of surround in relation to the diameter and spatial structure of a forest stand. Eur J Forest Res 127:165–171. http://dx.doi.org/10.1007/s10342-007-0193-3

Hao YL, Zhang HR, Tang SZ, 2012. Determination method of cutting tree based on forest stand spatial structure optimization. Journal of Northwest Forestry University 27:163-168.

Hui GY, Gadow KV, 2002. Das Winkelmass-Theoretische Überlegungen zum optimalen Standardwinkel. Allg F U J Ztg 41: 173–177.

Hui GY, Gadow KV, 2003. Quantitative Analysis of Forest Spatial Structure. Science and Technology Press, Beijing, 16–18 pp.

Hui GY, Li L, Zhao ZH, Dang PX, 2007. The comparison of methods in analysis of the tree spatial distribution pattern. Acta Ecologica Sinica 27: 4717-4728. http://dx.doi.org/10.1016/S1872-2032(08)60008-6

Illian J, Penttinen A, Stoyan H, Stoyan D, 2008. Statistical Analysis and Modelling of Spatial Point Patterns. John Wiley, England. 218 pp.

Kint V, Meirvenne MV, Nachtergale L, Geudens G, Lust N, 2003. Spatial methods for quantifying forest stand structure development: a comparison between nearest neighbor indices and variogram analysis. For Sci 49:36–49.

Latham PA, Zuuring HR, Coble DW, 1998. A method for quantifying vertical forest structure. For Ecol Manag 104: 157–170.

Lei XD, Tang SZ, 2002. Indicators on Structural diversity within stand: a review. Scientia Silvae Sin 38:140—146.

Li J, 2012. Study on structural characteristics and growth model of typical stand types in Southern collective forest. Dissertation. Central South University of Forestry and Technology, Changsha.

Li Y, Hui G, Zhao Z, Hu Y, 2012. The bivariate distribution characteristics of spatial structure in natural Korean pine broad-leaved forest. J Veg Sci 23: 1180-1190. http://dx.doi.org/10.1111/j.1654-1103.2012.01431.x

Liu YJ, 2011. Study of forest stand spatial structure and competition based on three-dimensional simulation technique. Dissertation. Beijing Forestry University, Beijing.

Maleki K, Kiviste A, Korjus H, 2015. Analysis of individual tree competition effect on diameter growth of silver birch in Estonia. Forest Syst 24: e023. http://dx.doi.org/10.5424/fs/2015242-05742

Pastorella F, Paletto A, 2013. Stand structure indices as tools to support forest management: an application in Trentino forests (Italy). J For Sci 59:159-168.

Petritan AM, Biris IA, Merce O, Turcu D, Petritan IC, 2012. Structure and diversity of a natural temperate sessile oak (Quercus petraeaL.)-European Beech (Fagus sylvaticaL.). For Ecol Manag 280:140–149.

Pommerening A, 2008. Analysing and modelling spatial woodland structure. Doctoral thesis. University of Natural Resources and Applied Life Sciences, Vienna.

Pommerening A, Stoyan D, 2006. Edge correction needs in estimating indices of spatial forest structure. Can J For Res 36: 1723-1739. http://dx.doi.org/10.1139/x06-060

Pommerening A, Gonçalves AC, Rodríguez-Soalleiro R, 2011. Species mingling and diameter differentiation as second-order characteristics. Allg F U J Ztg 182: 115-129.

Pommerening A, Särkkä A, 2013. What mark variograms tell about spatial plant interactions. Ecol Model 251: 64-72. http://dx.doi.org/10.1016/j.ecolmodel.2012.12.009

Pukkala T, Kolström T, 1987. Competition indices and the prediction of radial growth in Scots pine. Silva Fenn 21: 55-76. http://dx.doi.org/10.14214/sf.a15463

Spies TA, 1998. Forest structure: a key to the ecosystem. Northwest Sci 72: 34–36.

Stamatellos G, Panourgias G, 2005. Simulating spatial distributions of forest trees by using data from fixed area plots. Forestry 78:305-312. http://dx.doi.org/10.1093/forestry/cpi028

Suzuki SN, Kachi N, Suzuki JI, 2008. Development of a local size-hierarchy causes regular spacing of trees in an even-aged Abies forest: analyses using spatial autocorrelation and the mark correlation function. Ann Bot 102: 435–441. http://dx.doi.org/10.1093/aob/mcn113

Szmyt J, 2014. Spatial statistics in ecological analysis: from indices to functions. Silva Fenn 48: 1008. http://dx.doi.org/10.14214/sf.1008

Szwagrzyk J, Czerwczak M, 1993. Spatial patterns of trees in natural forests of East-Central Europe. J Veg Sci 4: 469-476. http://dx.doi.org/10.2307/3236074

Wang D, Tang S, Chiu C, 2006. Impact four years after thinning on the growth and stand structure of Taiwania plantation in the Liukuei experimental forest. Taiwan J For Sci 21: 339–351.

Wu A, 2012. Analyzing and optimizing forest stand spatial structure based on high-resolution remote sensing image. Dissertation. Beijing Forestry University, Beijing.

Zhang C, Zhao X, Gadow Kv, 2014. Analyzing selective harvest events in three large forest observational studies in North Eastern China. For Ecol Manag 316: 100-109.

Zhao C, Li J, Li J, 2010. Quantitative analysis of forest stand spatial structure based on Voronoi Diagram & Delaunay Triangulated Network. Scientia Silvae Sin 46: 78-84.




DOI: 10.5424/fs/2016251-07968

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