Tree and Forest Measurement

West, Philip W.

doi:10.1007/978-3-319-14708-6

Cited by 114 publications

(94 citation statements)

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“….45222 (12) Furthermore, when applying Chave et al [39], we extracted ρ values from the global wood density database [40,41] and subsequently calculated a mean ρ value, which was then used for the graphical display of this model. a Carbon converted to biomass as B "ˆC 47˙ˆ1 00; b ρ (g/cm 3 ) is the species-specific mean wood specific gravity (g/cm 3 ) extracted from the global wood density database [40,41].…”

Section: Model Development and Evaluationmentioning

confidence: 99%

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

Kachamba

Eid

Gobakken

2016

Forests

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Abstract:In this study we present general (multiple tree species from several sites) above-and belowground biomass models for trees in the miombo woodlands of Malawi. Such models are currently lacking in the country. The modelling was based on 74 trees comprising 33 different species with diameters at breast height (dbh) and total tree height (ht) ranging from 5.3 to 2 cm and from 3.0 to 25.0 m, respectively. Trees were collected from four silvicultural zones covering a wide range of conditions. We tested different models including dbh, ht and wood specific gravity (ρ) as independent variables. We evaluated model performance using pseudo-R 2 , root mean square error (RMSE), a covariance matrix for the parameter estimates, mean prediction error (MPE) and relative mean prediction error (MPE%). Computation of MPE% was based on leave-one-out cross-validation. Values of pseudo-R 2 and MPE% ranged 0.82-0.97 and 0.9%-2.8%, respectively. Model performance indicated that the models can be used over a wide range of geographical and ecological conditions in Malawi.

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Section: Model Development and Evaluationmentioning

confidence: 99%

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

Kachamba

Eid

Gobakken

2016

Forests

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“…Calipers, a device used to measure the distance between two opposite sides, can easily measure the diameter or cross-section of a tree trunk [10]. With advancements in equipment, modern methods of collecting forest inventory data include laser rangefinders [11], terrestrial light detection and ranging (LiDAR; [12,13]), and even smartphone applications [14], which improve efficiency and data quality.…”

Section: Introductionmentioning

confidence: 99%

Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest

et al. 2017

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Methods for accurately measuring biophysical parameters are a key component for quantitative evaluation regarding to various forest applications. Conventional in situ measurements of these parameters take time and expense, encountering difficultness at locations with heterogeneous microtopography. To obtain precise biophysical data in such situations, we deployed an unmanned aerial system (UAS) multirotor drone in a cypress forest in a mountainous area of Japan. The structure from motion (SfM) method was used to construct a three-dimensional (3D) model of the forest (tree) structures from aerial photos. Tree height was estimated from the 3D model and compared to in situ ground data. We also analyzed the relationships between a biophysical parameter, diameter at breast height (DBH), of individual trees with canopy width and area measured from orthorectified images. Despite the constraints of ground exposure in a highly dense forest area, tree height was estimated at an accuracy of root mean square error = 1.712 m for observed tree heights ranging from 16 to 24 m. DBH was highly correlated with canopy width (R 2 = 0.7786) and canopy area (R 2 = 0.7923), where DBH ranged from 11 to 58 cm. The results of estimating forest parameters indicate that drone-based remote-sensing methods can be utilized to accurately analyze the spatial extent of forest structures.

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“…Such a constant increment rate of 0.017 yr -1 can be safely ex-tended to biomass and carbon stock increment. In addition, (iii) under the range of conditions of the surveyed stands, the annual cork increment of individual trees was not influenced by the total number of trees in the stand (r = -0.128, p = 0.28; no significant correlation was found even considering the transformations of total number of trees according to power values 0.5, 2 and -1) or by the cork age (r = 0.038, p = 0.75; no significant correlation was found even considering the transformations of cork age according to power values 0.5, 2 and -1), while it was significantly correlated (r = 0.352, p < 0.01) to the stand top height (the mean height of the dominant trees in a stand), which is taken as an indicator of site productive capacity in uneven-aged stands (West 2009); (iv) annual increment of cork mass at stand level was significantly correlated to the stand top height (r = 0.442, p < 0.001) and the total number of productive trees in the stand (r = 0.811, p < 0.001); (v) above-ground carbon stock at stand level was significantly correlated to the stand top height (r = 0.290, p = 0.01) and the number of trees (r = 0.721, p < 0.001); (vi) stand basal area proved to be highly correlated to the number of trees (r = 0.777, p < 0.001), the number of productive trees (r = 0.665, p < 0.001), and the stand top height (r = 0.272, p = 0.02).…”

Section: Annual Cork Mass Production and Aboveground Carbon Stockmentioning

confidence: 90%

Towards the economic valuation of ecosystem production from cork oak forests in Sardinia (Italy)

Corona¹,

Quatrini²,

Schirru³

et al. 2018

iForest

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A spatially explicit approach for stand-scale economic valuation of current and future potential of cork forests with respect to ecosystem production is developed and presented. The approach, which relies in large part on the mensuration of stand top height and number of trees as main drivers, has been tested on the pure cork forests of Sardinia (Italy). The test was conducted to assess the effects of alternative silvicultural options on cork and fodder production, carbon sequestration, and water yield. Under current conditions, the surveyed pure cork oak forest stands in Sardinia are characterized, on average, by an annual economic production of 93 euro ha -1 yr -1 as concerns cork, 37 euro ha -1 yr -1 as concerns carbon sequestration and 261 euro ha -1 yr -1 as concerns water yield. The value of cork production on an 11-year cycle equals 1023 euro ha -1 on average. The total economic production values among the tested silvicultural alternatives have proven to be characterized by relatively small differences, due to the trade-offs among the considered goods and services. Therefore, at least under conditions similar to those surveyed, managers may safely rely on different stand density options, without any relevant detrimental effect on total economic production. The tested spatial visualization of the economic values of goods and services production can be useful in supporting forest management planning, e.g., to identify priority areas in order to maximize ecosystem production for local communities. The approach proposed here and tested to this end proves to be readily applicable to other cork contexts with similar characteristics under Mediterranean conditions.

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Tree and Forest Measurement

Abstract: The use of general descriptive names, registered names, trademarks, etc. in this publication does not imply, even in the absenee of a specific statement, that such names are exempt from the relevant proteetive laws and regulations and therefore free for general use.

Cited by 114 publications

References 0 publications

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

Above- and Belowground Biomass Models for Trees in the Miombo Woodlands of Malawi

Estimating Tree Height and Diameter at Breast Height (DBH) from Digital Surface Models and Orthophotos Obtained with an Unmanned Aerial System for a Japanese Cypress (Chamaecyparis obtusa) Forest

Towards the economic valuation of ecosystem production from cork oak forests in Sardinia (Italy)

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