Optimizing Wood Utilization Based on Whole Tree Inherent Property Maps

Leitch, Mathew; Miller, Scott

doi:10.1007/978-981-10-3115-1_1

Cited by 6 publications

(6 citation statements)

References 6 publications

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“…In consideration of the empirical evidence as provided in this jack pine study and those from past investigations [57,58], along with the results from analytical-based comparative assessments examining the performance of competing technologies (direct-based increment core extraction methods and indirect-based impact approaches, [62]), it is evident that the drill resistance approach is a viable in-forest method for non-destructively estimating wood density. Logistically, however, when comparing the micro-drill resistance and acoustic-based approaches, the former approach would be more challenging to implement given the requirement for additional on-site equipment (Resistograph) and data management (i.e., on-site editing of profile output data streams in order to calculate a mean amplitude value for the xylem portion of the stem).…”

Section: Non-destructive Wood Density Estimation and Consequences On mentioning

confidence: 94%

“…Thus, in this case, the level of accuracy attained at the stand-level would be precise enough to segregate stands into one of the three grade classes based on the within-class m e range proposed by Paradis [57]. Potentially, scaling acoustic-based stand-level mean attribute estimates to the forest level by integrating remotely-sensed forest inventory information could also be of utility when attempting to generate landscape-level wood quality property maps [57,58].…”

Section: Fibre Attribute-specific Acoustic Velocity Relationships Formentioning

confidence: 99%

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Acoustic-Based Prediction of End-Product-Based Fibre Determinates within Standing Jack Pine Trees

Newton

2019

Forests

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The objective of this study was to specify, parameterize, and evaluate an acoustic-based inferential framework for estimating commercially-relevant wood attributes within standing jack pine (Pinus banksiana Lamb) trees. The analytical framework consisted of a suite of models for predicting the dynamic modulus of elasticity (m e ), microfibril angle (m a ), oven-dried wood density (w d ), tracheid wall thickness (w t ), radial and tangential tracheid diameters (d r and d t , respectively), fibre coarseness (c o ), and specific surface area (s a ), from dilatational stress wave velocity (v d ). Data acquisition consisted of (1) in-forest collection of acoustic velocity measurements on 61 sample trees situated within 10 variable-sized plots that were established in four mature jack pine stands situated in boreal Canada followed by the removal of breast-height cross-sectional disk samples, and (2) given (1), in-laboratory extraction of radial-based transverse xylem samples from the 61 disks and subsequent attribute determination via Silviscan-3. Statistically, attribute-specific acoustic prediction models were specified, parameterized, and, subsequently, evaluated on their goodness-of-fit, lack-of-fit, and predictive ability. The results indicated that significant (p ≤ 0.05) and unbiased relationships could be established for all attributes but d t . The models explained 71%, 66%, 61%, 42%, 30%, 19%, and 13% of the variation in m e , w t , s a , c o , w d , m a , and d r , respectively. Simulated model performance when deploying an acoustic-based wood density estimate indicated that the expected magnitude of the error arising from predicting d t , c o , s a , w t , m e, and m a prediction would be in the order of ±8%, ±12%, ±12%, ±13%, ±20%, and ±39% of their true values, respectively. Assessment of the utility of predicting the prerequisite w d estimate using micro-drill resistance measures revealed that the amplitude-based w d estimate was inconsequentially more precise than that obtained from v d (≈ <2%). A discourse regarding the potential utility and limitations of the acoustic-based computational suite for forecasting jack pine end-product potential was also articulated. Keywords: wood quality; dilatational stress wave velocity; absolute and relative error intervals; ResistographForests 2019, 10, 605 2 of 29 however, a priori knowledge of the internal fibre attributes, which are among the principal determinates underlying end-product quality (sensu [4]), are not readily observable or measurable within standing trees prior to harvest nor within the derived logs following harvest. Furthermore, forecasting end-product potential based on correlative relationships between external morphological tree characteristics and internal fibre attributes have yielded mixed results of generally limited utility [5]. Thus, apart from the implementation of a logistically-challenging destructive-based field sampling initiative combined with the subsequent expensive and time-consuming laboratory processing of extracted wood samples...

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Section: Non-destructive Wood Density Estimation and Consequences On mentioning

confidence: 94%

Section: Fibre Attribute-specific Acoustic Velocity Relationships Formentioning

confidence: 99%

Acoustic-Based Prediction of End-Product-Based Fibre Determinates within Standing Jack Pine Trees

Newton

2019

Forests

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“…Branch wood is often discarded from commercial enterprises; this forestry byproduct represents a source of abundant lignocellulosic material from natural or plantation forests. Branch wood utilization has gained recent attention due to the decline in main stem wood resources (Leitch and Miller 2017;Zhao et al 2019). One ecologically friendly method to utilize this source is for generating biochar (Page-Dumroese et al 2017).…”

Section: Introductionmentioning

confidence: 99%

Biochar hydrological characteristics in related to branch wood properties

Suansa

Al-Mefarrej

Alshahrani

2021

BioRes

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Branch wood possesses unique properties that may affect biochar characteristics. Despite the abundance of broad studies on biochar, the correlation between feedstock properties and biochar hydrological characteristics has yet to be elucidated. Therefore, in this work the tree branch wood properties of three feedstocks (Acacia gerrardii Benth., Tamarix aphylla (L.) H. Karst., and Eucalyptus camaldulensis Dehn.) were investigated and compared with the characteristics of biochar produced by pyrolysis at 300 °C, 400 °C, and 500 °C. It was found that a higher lumen fraction resulted in a more porous structure, thus increasing the ability of biochar to absorb and retain water. Acacia gerrardii absorbed 403% and retained 73.6% water, whereas T. aphylla and E. camaldulensis held 396% and 342%, and then retained 71.5% and 68.1% water, respectively. The water holding capacity and water retention ability were lower in biochars pyrolyzed at 300 °C than 500 °C. The present findings demonstrate that fiber lumen diameter and parenchyma properties provide indicators of biochar hydrological characteristics generated from tree branch wood.

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“…The data display will show both quantitative and qualitative data. Therefore, some relevant information about a species is available only by looking at the mapping (Leitch and Miller 2017). In this research, spatial analysis is utilized to map the species of tongka langit banana in an effort to find out the dispersion of tongka langit banana as one of important endemic species in Maluku and also to know the topographic and climate factors that hypothetically influence such dispersion on tongka langit banana.…”

Section: Introductionmentioning

confidence: 99%

Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors

et al. 2020

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Abstract. Saiya HG, Hiariej A, Pesik A, Kaya E, Hehanussa ML, Puturuhu F. 2020. Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors. Biodiversitas 21: 2035-2046. The aim of this research is to understand the dispersion of tongka langit banana as one of the important endemic species in Maluku and also to know the topographic and climate factors hypothetically influencing the dispersion of tongka langit banana. The associated environmental factors are an initial approach that can be used to assess why the species only exists in certain locations. The data of coordinates were collected from survey activity; meanwhile, the slope and contour data were from the Shuttle Radar Topographic Mission (SRTM); and the climate data were from Meteorology, Climatology, and Geophysical Agency through statistic data publication. Then, all data were analyzed using Remote Sensing and GIS methods. The results showed that in Buru Island, tongka langit bananas were found in four locations, with climate condition was rather wet and found on slope grade of 0-8% and 8-15%. Whereas in Seram Island, tongka langit bananas were found in fifteen locations, with wet climate conditions, and on the same condition of slope as those found in Buru island.

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Optimizing Wood Utilization Based on Whole Tree Inherent Property Maps

Cited by 6 publications

References 6 publications

Acoustic-Based Prediction of End-Product-Based Fibre Determinates within Standing Jack Pine Trees

Acoustic-Based Prediction of End-Product-Based Fibre Determinates within Standing Jack Pine Trees

Biochar hydrological characteristics in related to branch wood properties

Dispersion of tongka langit banana in Buru and Seram, Maluku Province, Indonesia, based on topographic and climate factors

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