Development of Allometric Equations for Estimating Above-Ground Biomass of Woody Plant Invaders: The Case of Pittosporum undulatum in the Azores Archipelago

Silva, Lurdes Borges; Lourenço, Patrícia; Ponte, Nuno Bicudo; Medeiros, Vasco; Elias, Rui B.; Alves, Maria Judite

doi:10.1007/978-3-319-55236-1_22

Cited by 6 publications

(16 citation statements)

References 38 publications

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“…For each tree, the following dendrometric parameters were taken [3,5,8]: Diameter at Breast Height (at 130 cm), Diameter at Base (20 cm) and Maximum Tree Height. Diameters were measured with a diameter measuring tape, Friedrich Richter Messwerkzeuge GmbH & Co. KG, Speichersdorf, Germany, and total tree height using Vertex IV 360_and Transponder T3, Haglöf Sweden AB, Långsele, Sweden.…”

Section: Field Samplingmentioning

confidence: 99%

“…We followed the general procedures for the calculation of allometric equations that have been previously described [2][3][4], including data logarithmization in order to ensure homocedasticity. We evaluated candidate models using corrected Akaike`s Information Criterion (AIC), square root mean error and mean relative error [2][3][4]56]. Statistical analyses were performed using R software, version 3.2.3 [57].…”

Section: Relationship Between Tree Age and Dendrometric Traitsmentioning

confidence: 99%

“…Although tree growth is the result of very complex processes [69], allometric models can be a robust alternative to predict the growth and the mean age of tree populations [70]. Furthermore, models relating tree age and other dendrometric variables are available for different species and different geographic areas (e.g., [2][3][4]54,55]). We analyzed model fit for the entire data set and also separately, according to the sampled stands [2,3,54].…”

Section: Dendrometry and Dendrochronologymentioning

confidence: 99%

“…Furthermore, models relating tree age and other dendrometric variables are available for different species and different geographic areas (e.g., [2][3][4]54,55]). We analyzed model fit for the entire data set and also separately, according to the sampled stands [2,3,54]. When modeling the global data set, regression models explaining tree age based on trunk diameter, basal area, and/or tree height, were of low quality, in contrast with the results previously obtained by Borges Silva et al [2,4] for the invasive tree P. undulatum Vent.…”

Section: Dendrometry and Dendrochronologymentioning

confidence: 99%

“…Knowledge on tree growth rate and age-size relationships is the basis for understanding tree population dynamics and evaluating changes in both natural and managed forests, being crucial for sustainable forest restoration [1][2][3][4]. Dendrochronology techniques are commonly used in forest management to determine woody plant growth rates in seasonal climates [2,5,6].…”

Section: Introductionmentioning

confidence: 99%

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Linking Dendrometry and Dendrochronology in the Dominant Azorean Tree Laurus azorica (Seub.) Franco

Matos

Silva

Camarinho

et al. 2019

Forests

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As in many archipelagos, the Azorean primary forest was largely cleared and replaced by secondary forest and grassland, the Azorean tree Laurus azorica (Seub.) Franco being one of the dominant trees in the remaining natural forests. Dendrochronological and dendrometric studies in the Azores mainly focused on non-indigenous trees, either used for timber (e.g., Cryptomeria japonica D. Don) or considered as invasive (Pittosporum undulatum Vent.). Therefore, this study aims to describe the growth ring anatomy of L. azorica, and to understand the relationship between dendrometric traits (e.g., trunk diameter at breast height; tree height), and the number of growth rings. Growth ring anatomy was accessed by wood anatomical preparation of microcore samples while tree age estimation was based on growth ring counts in wood cores taken at breast height and at base. A total of 145 trees were sampled, resulting in 262 increment cores, at six representative stands of laurel forest in São Miguel Island (Azores). The wood anatomical analysis confirmed the presence of clear annual ring boundaries, and a high structural similarity towards Laurus novocanariensis Rivas Mart., Lousã, Fern.Prieto, E.Días, J.C.Costa & C.Aguiar. Age at tree base averaged 33 years, with 60% of the trees between 25 and 50 years old, and only about 15% above 50 years old. This suggests the existence of a secondary forest that is more recent than expected, probably due to human disturbance. The allometric models showed best fit when calculated by stand, suggesting the effect of local environmental conditions on growth rate. Radial growth rate was estimated at 0.68 cm.year−1. Given the known dominance of this species and the threats affecting natural forests, this baseline study will allow a better understanding of forest distribution and dynamics, and support a more effective forest management approach.

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Section: Field Samplingmentioning

confidence: 99%