Leaf Area Prediction Using Three Alternative Sampling Methods for Seven Sierra Nevada Conifer Species

This paper analyzes sapwood variability and allometry within individuals of Populus tremuloides, Pinus contorta, Pinus banksiana, Picea mariana, and Picea glauca. Outside bark diameter at breast height (DBH) and sapwood depth (sd) in four cardinal directions were measured in individuals in stands in Alberta and Saskatchewan, Canada. The microscopical analysis of wood anatomy was used to measure sd, and the error associated with the measures was observed. Sapwood allometry analyses examined the influence of DBH on sd and on sapwood area (SA). All species were observed to have varying sapwood depths around the trunk with statistical analyses showing that Pinus banksiana has a well defined preference to grow thicker in the North-East side. The largest sd values were observed for the Populus tremuloides set. Unlike Populus tremuloides and Picea glauca, for the species Pinus contorta, Pinus banksiana, and Picea mariana, incremental growth in DBH does not directly drive sapwood growth in any direction. For these three species, SA increases only because of increases in DBH as sd remains nearly constant. These results show that sapwood depth and sapwood area seem to behave differently in each studied species and are not always proportional to the tree size as is normally assumed.

Section: Introductionmentioning

confidence: 99%

Allometry of Sapwood Depth in Five Boreal Trees

Quiñonez-Piñón

Valeo

2017

“…There is currently insufficient data to determine if these findings hold true for other tree species; therefore, more research into intraspecific variation in carbon is necessary in order to determine if carbon fraction varies predictably between wood types within trees. Differences between carbon fractions in heartwood and sapwood could also lead to significant differences in carbon mass estimates across tree sizes, as the heartwood to sapwood proportion is not constant across tree sizes [34].…”

Section: Introductionmentioning

confidence: 99%

Variation in Carbon Fraction, Density, and Carbon Density in Conifer Tree Tissues

Jones

O’Hara

2018

Self Cite

Abstract:We analyzed variations in three tree properties: tissue density, carbon fraction, and carbon density within bole tissues of nine Californian conifer species. Model performance for all three tree properties was significantly improved with the addition of covariates related to crown characteristics and position within the tree. This suggests that biomass and carbon mass estimates that rely on fixed wood density and carbon fraction may be inaccurate across tree sizes. We found a significant negative relationship between tissue density and carbon fraction within tree bole tissues, indicating that multiplying biomass by an average carbon fraction to obtain carbon mass is likely to lead to inaccurate estimates. Measured carbon fractions in tree tissues deviated from the widely used 0.5 value from a low of 1.4% to a high of 17.6%. Carbon fraction model parameters indicate the potential for an additional deviation from this 0.5 value of up to 2.7% due to the interaction between relative height and wood density. Applying measured carbon fractions to whole bole biomasses resulted in carbon mass estimates as much as 10.6% greater than estimates derived using the 0.5 value. We also found a significant, though modest, improvement in carbon fraction model estimates by assigning trees to groups based on tree bark characteristics.

“…SLA is an important conversion factor for estimating LA [37,60]. This study found that SLA values increased from top to bottom of a MB crown (Figure 3).…”

Section: Specific Leaf Areamentioning

confidence: 72%

“…Previous studies reported many allometric relationships with accessible tree traits as independent variables to estimate LAs of several specific tree species. These allometries generally relate LA to tree characteristics such as diameter at breast height (DBH) and tree height (H) [13,[35][36][37]. However, there are no validation studies to prove the reliability of the estimated LA of MB by indirect methods.…”

Section: Of 17mentioning

confidence: 99%

Estimating Crown Structure Parameters of Moso Bamboo: Leaf Area and Leaf Angle Distribution

Fan

et al. 2019

Both leaf area (LA) and leaf angle distribution are the most important eco-physiological measures of tree crowns. However, there are limited published investigations on the two parameters of Moso bamboo (Phyllostachys edulis (Carrière) J. Houz., abbreviated as MB). The aim of this study was to develop allometric equations for predicting crown LA of MB by taking the diameter at breast height (DBH) and tree height (H) as predictors and to investigate the leaf angle distribution of a MB crown based on direct leaf angle measurements. Data were destructively sampled from 29 MB crowns including DBH, H, biomass and the area of sampled leaves, biomass of total crown leaves, and leaf angles. The results indicate that (1) the specific leaf area (SLA) of a MB crown decreases from the bottom to the top; (2) the vertical LA distribution of MB crowns follow a “Muffin top” shape; (3) the LA of MB crowns show large variations, from 7.42 to 74.38 m2; (4) both DBH and H are good predictors in allometry-based LA estimations for a MB crown; (5) linear, exponential, and logarithmic regressions show similar capabilities for the LA estimations; (6) leaf angle distributions from the top to the bottom of a MB crown can be considered as invariant; and (7) the leaf angle distribution of a MB crown is close to the planophile case. The results provide an important tool to estimate the LA of MB on the standing scale based on DBH or H measurements, provide useful prior knowledge for extracting leaf area indexes of MB canopies from remote sensing-based observations, and, therefore, will potentially serve as a crucial reference for calculating carbon balances and other ecological studies of MB forests.