Effects of Stand Density on Top Height Estimation for Ponderosa Pine

Ritchie, Martin W.; Zhang, Jianwei; Hamilton, Todd.

doi:10.1093/wjaf/27.1.18

Cited by 25 publications

(38 citation statements)

References 16 publications

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“…However, the inconsistence of the reported findings has been shown to be attributed by size of plots and variable responses of different tree species to stand density [70]. Data collected in larger plots have shown to be more explanatory to this phenomenon than those collected in small plots [70]. Due to the consistence of our findings, we rule out that the plot size applied in this study was adequate to explain H-stand density relationships.…”

Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 47%

“…This implies that when excluding BA as a predictor, different H-D equation would be required for each plot [69]. There are contradicting findings reported on the effect of stand density to H (e.g., [70]). Other scholars have claimed that the vertical and horizontal dimensional change of a tree is linked with the availability of resources: solar radiation, water, and nutrients.…”

Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 93%

“…Dunning [72] and Baker [73] have shown that H may be affected by stand density. However, the inconsistence of the reported findings has been shown to be attributed by size of plots and variable responses of different tree species to stand density [70]. Data collected in larger plots have shown to be more explanatory to this phenomenon than those collected in small plots [70].…”

Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 99%

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Height-Diameter Allometry for Tree Species in Tanzania Mainland

Mugasha

Mauya

Njana³

et al. 2019

International Journal of Forestry Research

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Total tree height (H) and diameter at beast height (D) are important independent variables in predicting volume, biomass, and other forest stand attributes. However, unlikeDmeasurement, which is easy to measure with high accuracy,Hmeasurement is laborious. This study, therefore, developedH-Drelationships for ten different forest types in Tanzania Mainland. Extents in which climate and forest stand variables explain the variation inH-Dallometry were also assessed. A total of 31782 sample trees covering miombo woodlands, humid montane, lowland forests, bushlands, grasslands, mangroves, cultivated land, wetlands forests, and pines andEucalyptusspecies plantations were used for model development. TheHestimating model without climate and forest stand variables referred herein as “base model” was first developed followed by “generalized model” which included climate and stand variables. All the data were fitted using nonlinear mixed effect modelling approach. Results indicated that generalizedHestimating models had better fit than the base models. We therefore confirm a significant contribution of climate and forest structure variables in improvingH-Dallometry. Among the forest structure variables, basal area (BA) was far more important explanatory variable than other variables. In addition, it was found that the mean treeHtends to increase with the increase of mean precipitation (PRA). We therefore conclude that forest specific generalizedHmodel is to be applied when predictingH. When forest type information is not available, generalized regional model may be applied. Base model may be applied when forest stand or climate information are missing.

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Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 47%

Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 93%

Section: Height-diameter Allometry and Forest Structure Variablesmentioning

confidence: 99%

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Height-Diameter Allometry for Tree Species in Tanzania Mainland

Mugasha

Mauya

Njana³

et al. 2019

International Journal of Forestry Research

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“…On those research plots, both UE and ALT estimates exhibited higher systematic errors than the CE results. This is due to the low density of trees and therefore different intensities of tree selection (percentage of "top height trees" selected on the sample plot) by these methods (Ritchie et al 2012). In the ALT method, the number of trees to be used for TH estimation is calculated according to the formula 1.6×(A×100) −0.6.…”

Section: Discussionmentioning

confidence: 99%

The effect of the calculation method, plot size, and stand density on the accuracy of top height estimation in Norway spruce stands

Ochał¹,

Socha²,

Pierzchalski³

2017

iForest

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The aim of this study was to evaluate top height (TH) estimates for Norway spruce stands calculated according to different computational methods, and to assess the effects of stand density and plot size on TH estimation accuracy. Field data were collected from twelve 1 ha research plots located in evenaged spruce stands. Conventional estimates were found to generally overstate TH. The accuracy of TH estimation was dependent on sample plot size. TH estimation error decreased rapidly with increasing sample plot area, but only up to a certain cutoff point. Errors in TH estimation were also related to local stand density, with low and very high density levels leading to decreased accuracy. The most reliable TH estimates were obtained using the U-estimator method, which is resistant to changes in sample plot size.

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“…Studies conducted mostly in the transition area between the forest and tundra zones show that other factors, for example, soil properties and disturbances (wind, re, and grazing) may alter or mask the species response to climate change (Hofgaard et al 2010;Sanders-DeMott et al 2018). Several studies used stem radial increments to reconstruct growth and correlate it with recent climate change (Lloyd and Bunn 2007;Wang et al 2019), while in comparison to radial growth, height growth is more strongly dependent on climate and soil properties and less affected by stand density (Monserud 1984;Chen et al 1998;Nigh 2006;Ritchie et al 2012), making it a complementary method to examine the response of tree species to climate change.…”

Section: Introductionmentioning

confidence: 99%

Historical Tree Species Height Growth Pattern Associated With Climate Change in Western North America

Messaoud

Reid

Tchebakova

et al. 2020

Preprint

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BackgroundThe climate variables effect on tree growth in boreal and temperate forests has received increased interest in the global context of climate change. However, most studies are geographically limited and involved few tree species. Here, sixteen tree species across western North America were used to investigate tree response to climate change at the species range scale. MethodsForest inventory data from 36,944 stands established between 1600 and 1968 throughout western Canada and USA were summarized. Height growth (total height at breast-height age of 50 years) of healthy dominant and co-dominant trees were related to annual and summer temperatures, annual and summer Palmer Drought Severity Index (PDSI, and tree establishment date (ED). Climate-induced height growth patterns were then tested to determine links to spatial environment (soil conditions and geographic locations), species range (coastal, interior, and both ranges) and species traits (shade tolerance and leaf form), using linear mixed model for the global height growth and general linear model to test the height growth patterns for each species. ResultsIncrease of temperatures and PDSI had a positive effect on height growth for most of the study species, whereas Alaska yellow-cedar (Chamaecyparis nootkatensis, (D. Don) Spach) height growth declined with ED. All explaining variables and the interactions explained 59% of the total height growth variance. Although tree height growth response was species-specific, increased height growth during the 20th century was more pronounced for coastal ranged species, high shade tolerant species, and broadleaf species. Furthermore, height growth increase occurred mostly on rich soil, at the northernmost species range, and, unexpectedly, at lower elevations. A decline in height growth for some species further north and especially higher in elevation possibly related to increased cloudiness and precipitation. However, drought conditions remain in interior areas despite moving northward and upward that decrease height growth. ConclusionThese results highlight the general trend (species characteristics and range) and the species-specific height patterns, indicating the spatio-temporal complexity of the growth response to recent global climate change.

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Effects of Stand Density on Top Height Estimation for Ponderosa Pine

Cited by 25 publications

References 16 publications

Height-Diameter Allometry for Tree Species in Tanzania Mainland

Height-Diameter Allometry for Tree Species in Tanzania Mainland

The effect of the calculation method, plot size, and stand density on the accuracy of top height estimation in Norway spruce stands

Historical Tree Species Height Growth Pattern Associated With Climate Change in Western North America

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