Vertical distribution of trunk and crown volume in tropical trees

Zuleta, Daniel; Moorthy, Sruthi M. Krishna; Arellano, Gabriel; Verbeeck, Hans; Davies, Stuart J.

doi:10.1016/j.foreco.2022.120056

Cited by 8 publications

(11 citation statements)

References 30 publications

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“…We then re‐scaled the

{AGB}_{without - considering - damage}

by the tree volume completeness to estimate the remaining AGB in damaged trees

()(, {AGB}_{considering - damage})

. Tree volume completeness was estimated by coupling field‐based damage estimates (Arellano et al, 2021) and vertical volume profile models obtained from 177 trees (49 species) scanned with high‐resolution 3D terrestrial laser (TLS) in BCI (Zuleta, Krishna Moorthy, et al, 2022). The damage‐related variables estimated in the field were (1) the living length of the main axis

()(, H_{considering - damage})

, in meters, which provides an estimate of the amount of remaining living tissues along the main axis of the stem (e.g., the height of breakage or the height discounting wood decay) and (2) the remaining proportion of branch volume within the living length

()(, b \in (][, 0, 1))

.…”

Section: Methodsmentioning

confidence: 99%

“…To translate from the field‐based damage variables to AGB estimates, we used a model that describes the cumulative relative volume of the trunk and crown at a relative height within a given tree (

h \in (][, 0, 1)

) (Ver Planck & MacFarlane, 2014; Zuleta, Krishna Moorthy, et al, 2022) (Equations 1 and 2). If

h

is below the relative height of the lowest branch,

h_{lowest - branch} \in (][, 0, 1)

, the total accumulated relative volume of the tree equals the accumulated relative volume of the trunk,

v_{trunk} ()(, h) \in (][, 0, 1)

.…”

Section: Methodsmentioning

confidence: 99%

“…We set p trunk = 0.73, 1 = 2.622, 2 = 6.957, and h lowest−branch = 0.42 based on data from the trees scanned with the terrestrial laser (Zuleta, Krishna Moorthy, et al, 2022).…”

Section: Tree Survival and Structural Completenessmentioning

confidence: 99%

See 2 more Smart Citations

Damage to living trees contributes to almost half of the biomass losses in tropical forests

Zuleta

Arellano

McMahon

et al. 2023

Global Change Biology

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“…We then re‐scaled the

{AGB}_{without - considering - damage}

by the tree volume completeness to estimate the remaining AGB in damaged trees

()(, {AGB}_{considering - damage})

()(, H_{considering - damage})

()(, b \in (][, 0, 1))

.…”

Section: Methodsmentioning

confidence: 99%

h \in (][, 0, 1)

) (Ver Planck & MacFarlane, 2014; Zuleta, Krishna Moorthy, et al, 2022) (Equations 1 and 2). If

h

is below the relative height of the lowest branch,

h_{lowest - branch} \in (][, 0, 1)

, the total accumulated relative volume of the tree equals the accumulated relative volume of the trunk,

v_{trunk} ()(, h) \in (][, 0, 1)

.…”

Section: Methodsmentioning

confidence: 99%

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Damage to living trees contributes to almost half of the biomass losses in tropical forests

Zuleta

Arellano

McMahon

et al. 2023

Global Change Biology

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“…We used both the living length and b l to estimate the biomass of a living tree based on an allometric function that accounts for the vertical distribution of volume in the trunk vs. crown (Ver Planck & MacFarlane, 2014). Specifically, we estimated the proportion of crown volume below a given height (within the living length) and multiplied it by the relative biomass of the crown, which was set to 1/3 of the total biomass of the tree based on empirical data from 611 harvested tropical trees (Chambers et al, 2001; Duque et al, 2017), see (Zuleta et al, 2021, 2022), and Methods S3 for a full explanation. Based on estimated damage we grouped trees into five damage classes (corresponding to the damage classes used in FATES) and calculated mortality, M , for each class as

M_{d} goodbreak= ()(, \log ()(, N_{1, d}) goodbreak- \log ()(, N_{italic2})) / t,

where d is damage class, N 1 is the number of individuals alive in census 1, N 2 is the number of individuals alive in census 2 (regardless of damage class in census 2), and t is time in years between censuses.…”

Section: Methodsmentioning

confidence: 99%

Tree crown damage and its effects on forest carbon cycling in a tropical forest

Needham

Arellano

Davies

et al. 2022

Global Change Biology

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MethodsS1 Recovery algorithm Methods S2 Sensitivity analyses Methods S3 Estimates of damage class from field data Figs S1 -S12 Tables S1 -S2 Summary• Crown damage can account for over 23% of canopy biomass turnover in tropical forests and is a strong predictor of tree mortality, yet it is not typically represented in vegetation models. We incorporate crown damage into the Functionally Assembled Terrestrial Ecosystem Simulator (FATES), to evaluate how lags between damage and tree recovery or death alter demographic rates and patterns of carbon turnover.• We represent crown damage as a reduction in a tree's crown area and leaf and branch biomass, and allow associated variation in the ratio of aboveground to belowground plant tissue. We compare simulations with crown damage to simulations with equivalent instant increases in mortality and benchmark results against data from Barro Colorado Island (BCI), Panama.• In FATES, crown damage causes decreases in growth rates that match observations from BCI.Crown damage leads to increases in carbon starvation mortality in FATES, but only in configurations with high root respiration and decreases in carbon storage following damage.Crown damage also alters competitive dynamics, as plant functional types that can recover from crown damage outcompete those that cannot.• This is a first exploration of the trade-off between the additional complexity of the novel crown damage module and improved predictive capabilities. At BCI, a tropical forest that does not experience high levels of disturbance, both the crown damage simulations and simulations with equivalent increases in mortality do a reasonable job of capturing observations.• The crown damage module provides functionality for exploring dynamics in forests with more extreme disturbances such as cyclones, and for capturing the synergistic effects of disturbances that overlap in space and time.

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“…The total wood volume of the tree was estimated by tting Quantitative Structure Models (QSMs) using the recent version of the TreeQSM algorithm [35] after removing the leaves [36]. For buttressed trees, we estimated the volume of the trunk from the base up to the rst branching point using the triangulation function implemented in the TreeQSM algorithm [37]. Aboveground biomass estimated from this algorithm has been successfully validated against ground-truth biomass data derived from multiple destructive harvesting experiments across different tropical forest sites [19].…”

Section: Tls Data Processingmentioning

confidence: 99%

Strong impacts of lianas on tree allometry lead to overestimation of tropical forest carbon stocks and sink

Moorthy

Meunier

Calders

et al. 2022

Preprint

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Lianas are quintessential components of tropical forests competing strongly with trees for resources. Yet, their role in the structure and functioning of forests is rarely studied. Here, we investigate the impact of lianas on the carbon stocks and sink potential of an intact moist tropical forest in Panama using 3D terrestrial laser scanning. We find that liana-infested trees are significantly shorter with smaller crown areas, thereby resulting in a significant liana-induced reduction in stand-level carbon stocks (5.3%) and coarse woody productivity (24.5%). The widely used pantropical allometric model overestimates the carbon stocks by 10% and underestimates the liana impact on woody productivity by 1.5% at the study site with current infestation level. Increasing liana abundance across Neotropics will further worsen this impact. We show that by ignoring liana impact in carbon estimation, we are currently overestimating the potential of nature-based climate solutions to lock up atmospheric carbon.

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Vertical distribution of trunk and crown volume in tropical trees

Cited by 8 publications

References 30 publications

Damage to living trees contributes to almost half of the biomass losses in tropical forests

Damage to living trees contributes to almost half of the biomass losses in tropical forests

Tree crown damage and its effects on forest carbon cycling in a tropical forest

Strong impacts of lianas on tree allometry lead to overestimation of tropical forest carbon stocks and sink

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