A general method for the classification of forest stands using species composition and vertical and horizontal structure
MetadataShow full item record
Key message. We present a novel approach to define pure- and mixed-forest typologies from the comparison of pairs of forest plots in terms of species identity, diameter, and height of their trees. Context. Forest typologies are useful for many purposes, including forest mapping, assessing habitat quality,
studying forest dynamics, or defining sustainable management strategies. Quantitative typologies meant for forestry applications normally focus on horizontal and vertical structure of forest plots as main classification criteria, with species composition often playing a secondary role. The selection of relevant variables is often idiosyncratic and influenced by a priori expectations of the forest types to be distinguished. Aims. We present a general framework to define forest typologies where the dissimilarity between forest stands is assessed using coefficients that integrate the information of species composition with the univariate distribution of tree diameters or heights or the bivariate distribution of tree diameters and heights. Methods. We illustrate our proposal with the classification of forest inventory plots in Catalonia (NE Spain), comparing the results obtained using the bivariate distribution of diameters and heights to those obtained using either tree heights or tree diameters only. Results. The number of subtypes obtained using the tree diameter distribution for the calculation of dissimilarity was often the same as those obtained from the tree height distribution or to those using the bivariate distribution. However, classifications obtained using the three approaches were often different in terms of forest plot membership. Conclusion. The proposed classification framework is particularly suited to define forest typologies from forest inventory data and allows taking advantage of the bivariate distribution of diameters and heights if both variables are measured. It can provide support to the development of typologies in situations where fine-scale variability of topographic, climatic, and legacy management factors leads to fine-scale variation in forest structure and composition, including uneven-aged and mixed stands.
Is part ofAnnals of Forest Science, 2019, vol. 76, núm. 40, p. 1-19
Showing items related by title, author, creator and subject.
Ús de dades de teledetecció per a la definició i mapificació de tipologies de regeneració en zones afectades per grans incendis forestals Martín Alcón, Santiago; Coll Mir, Lluís; González-Olabarria, José Ramón; De Cáceres, Miquel; Guitart i Xarpell, Lídia (Centre de la Propietat Forestal, 2015)
Combining aerial LiDAR and multispectral imagery to assess postfire regeneration types in a Mediterranean forest Martín Alcón, Santiago; Coll Mir, Lluís; De Cáceres, Miquel; Guitart i Xarpell, Lídia; Cabré, Mariló; Just, Ariadna; González-Olabarria, José Ramón (NRC Research Press (Canadian Science Publishing), 2015-02-26)Wildfires play a major role in driving vegetation changes and can cause important environmental and economic losses in Mediterranean forests, especially where the dominant species lacks efficient postfire regeneration ...
Martín Alcón, Santiago; González-Olabarria, José Ramón; Coll Mir, Lluís (Finnish Society of Forest Science, 2010)Wind and snow-induced damage have been analyzed at stand level for three pine forests in the Central-Eastern Pyrenees (Pinus nigra Arn. salzmanii, Pinus sylvestris L. and Pinus uncinataRam.). Stand-level models have been ...