Prediction equations for estimating tree height, crown diameter, crown height and crown ratio of Parkia biglobosa in the Nigerian guinea savanna

Buba, Toma

doi:10.5897/ajar12.276

Cited by 6 publications

(3 citation statements)

References 12 publications

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“…Plant height is the main factor influencing light capture for photosynthesis. The crown-height ratio reflects the size of the whole crown and quantifies competition among trees (Hailemariam et al 2005;Tanka 2006;Toma 2013). In this paper, the crown-height ratio was not affected by aboveground competition.…”

Section: Competition Affect Biomass Allocationmentioning

confidence: 64%

Effect of intraspecific competition on biomass partitioning of Larix principis-rupprechtii

Zhou

Cheng

et al. 2017

Journal of Plant Interactions

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It is acknowledged that trees biomass allocation in response to environmental conditions. However, it remains poorly understood what strategies of plant biomass allocation with inter-and intraspecific interactions of tree species in forest stands. Such information is important for revealing strategies of plant biomass allocation with plant competition. To address this problem, a study was conducted in Larix principis-rupprechtii plantations to evaluate the impact of plant competition on plant biomass allocation in Shanxi Province, China. We measured a competition index (CI), stem, branch, foliage, and root biomass as well as element content (Carbon (C), Nitrogen (N), Phosphorus (P), Potassium (K)). Stem-foliage ratio (S/F), aboveground-belowground biomass ratio (T/R), average annual increment of biomass (AAB), height (AAH), and DBH (AAD) were calculated. The study found that the competition intensity of neighboring trees was closely related to the partitioning of biomass. Our results demonstrated that competition pressure of neighboring trees was a crucial factor to drive and regulate the distribution of biomass. Predicting biomass allocation-competition relationships could represent a supportive method for improving management of Larix principisrupprechtii plantations in Mountain Taiyue areas.

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Section: Competition Affect Biomass Allocationmentioning

confidence: 64%

Effect of intraspecific competition on biomass partitioning of Larix principis-rupprechtii

Zhou

Cheng

et al. 2017

Journal of Plant Interactions

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“…Indeed, according to Litton et al [61] and Poorter et al [62], biomass partitioning may vary with soil resource availability and with the ability of plants to withstand competition for light. Furthermore, according to the theory of biomass allocation, high competition may increase or reduce biomass allocation in plants [63,64]. Zhou et al [33] found that the biomass ratio of roots and stems decreased with increasing intensity of competition from neighboring trees, while biomass at the level of branches and leaves increased.…”

Section: Discussionmentioning

confidence: 99%

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

et al. 2019

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Competitive interactions are important predictors of tree growth. Spatial and temporal changes in resource availability, and variation in species and spatial patterning of trees alter competitive interactions, thus affecting tree growth and, hence, biomass. Competition indices are used to quantify the level of competition among trees. As these indices are normally computed only over small areas, where field measurements are done, it would be useful to have a tool to predict them over large areas. On this regard, remote sensing, and in particular light detection and ranging (lidar) data, could be the perfect tool. The objective of this study was to use lidar metrics to predict competition (on the basis of distance-dependent competition indices) of individual trees and to relate them with tree aboveground biomass (AGB). The selected study area was a mountain forest area located in the Italian Alps. The analyses focused on the two dominant species of the area: Silver fir (Abies alba Mill.) and Norway spruce (Picea abies (L.) H. Karst). The results showed that lidar metrics could be used to predict competition indices of individual trees (R 2 above 0.66). Moreover, AGB decreased as competition increased, suggesting that variations in the availability of resources in the soil, and the ability of plants to withstand competition for light may influence the partitioning of biomass.

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“…Therefore, competition effects between the plant groups depended on the abundance of trees which was characterized by a ground coverage of 80 % in Bellefoungou, 72 % in Nazinga (Sudanian), and 25 % in Kelma (Sahel). This has been initialized by first defining the dimension (height and diameter at 1.3m) of the average tree at the specific site, and calculating the ground coverage according to allometric relations described in Grote et al (2020) and parametrized with data from literature (Buba, 2013). These calculations do not assume a difference between species allometry.…”

Section: Model Setup and Initializationmentioning

confidence: 99%

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Grote¹

2021

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Prediction equations for estimating tree height, crown diameter, crown height and crown ratio of Parkia biglobosa in the Nigerian guinea savanna

Cited by 6 publications

References 12 publications

Effect of intraspecific competition on biomass partitioning of Larix principis-rupprechtii

Effect of intraspecific competition on biomass partitioning of Larix principis-rupprechtii

Prediction of Competition Indices in a Norway Spruce and Silver Fir-Dominated Forest Using Lidar Data

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