Effect of intraspecific competition on biomass partitioning of <i>Larix principis-rupprechtii</i>

Zhou, Wensong; Cheng, Xiaoqin; Wu, Ran; Han, Hairong; Zhu, Jiang; Tian, Ping

doi:10.1080/17429145.2017.1406999

Cited by 29 publications

(24 citation statements)

References 18 publications

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“…Trees compete for both light and growing space, and we found that under strong competition, Liaodong oak trees reduced the biomass of their branches to allow the biomass of the belowground parts to be increased while also giving priority to high growth of the trunk. This is different from the conclusion of Wang et al (2012) and Zhou et al (2018), they suggested that the allocation of biomass accorded to the principle of optimal biomass allocation, which was the intense light competition will promote the biomass allocation to the foliage(components that receive lights) and branches(components that support foliage). The different findings for Liaodong oak may be explained as follows.…”

Section: Discussioncontrasting

confidence: 74%

Effects of intraspecific competition on growth, architecture and biomass allocation of Quercus Liaotungensis

Xiaozhou

Zhang

2019

Journal of Plant Interactions

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Liaodong oak (Quercus liaotungensis) is an ecologically important tree species on the Loess Plateau in China that experiences strong intraspecific competition. Therefore, here, we aimed to clarify the strategies of Liaodong oak under intraspecific competition by examining the growth, architecture, and biomass allocation, and analyzed their relationships with the competition intensity. We found that intraspecific competition severely limited the accumulation of biomass in Liaodong oak and this competition was asymmetric among individuals. Intense competition among these trees resulted in a greater allocation of biomass to the belowground parts, allowing them to compete for moisture, which is a limited resource. Aboveground, the trees tended to allocate more resources to their trunks to ensure that tree height growth was not affected, resulting in a decreased diameter at breast height (DBH)/tree height ratio and tapering of the tree, thereby improving stem quality. By contrast, the amount of biomass that was allocated to the branches was greatly reduced through a reduction in the diameter and length of the branches rather than the number of branches. ARTICLE HISTORY

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Section: Discussioncontrasting

confidence: 74%

Effects of intraspecific competition on growth, architecture and biomass allocation of Quercus Liaotungensis

Xiaozhou

Zhang

2019

Journal of Plant Interactions

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“…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%

“…Several studies have shown the relationship between radial growth and height growth of trees [65,66] and that the crown:height ratio may quantify competition among trees [67,68]. Therefore, the diameter and height of a tree are not only closely linked to light capture but also to the effects of water, nutrients, and soil conditions [33]. Moreover, according to the results of Zhou et al [33], during growth, plants change how they are affected by the competition of neighboring plants, and their competitive effect on other plants.…”

Section: Discussionmentioning

confidence: 99%

“…Therefore, the diameter and height of a tree are not only closely linked to light capture but also to the effects of water, nutrients, and soil conditions [33]. Moreover, according to the results of Zhou et al [33], during growth, plants change how they are affected by the competition of neighboring plants, and their competitive effect on other plants. This suggests a close relationship between individual competition and tree growth.…”

Section: Discussionmentioning

confidence: 99%

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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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“…The growth dynamics of every element of tree architecture such as height, DBH, and canopy cover have long been considered as dendrometric factors that determine the intensity of competition between trees. Several previous studies have proven that DBH is an important factor that influences the intensity of competition between trees both interspecific and intraspecific competition (Gonzalez de Andres et al 2018;Zhou 2017;Da Cunha et al 2016).…”

Section: The Effect Of Competition On Merbaumentioning

confidence: 99%

Ideal planting space for merbau (Intsia bijuga) forest plantations in Papua based on distance-dependent competition

et al. 2018

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Sirami EV, Marsono D, Sadono R, Imron MA. 2018. Ideal planting space for merbau (Intsia bijuga) forest plantations in Papua based on distance-dependent competition. Biodiversitas 19: 2219-2231. Distance-based competition between merbau (Intsia bijuga (Colebr.) Kuntze) and neighboring trees could be applied to determine the planting space between merbau trees and shade trees in plantations. This research was conducted to identify the characteristics of merbau competition with neighboring trees and determine the ideal spacing of merbau trees. The sampling design using was the systematic line technique with hypothetical plot and sample tree as the quadrant center. The competitors were determined using a virtual high approach and header contact. Distance-based competitions were identified using the Hegyi index. Sixteen species had the highest competition index because of their dominance in the tree structure, namely Pometia coriacea, Intsia bijuga, Pimelodendron amboinicum, Horsfieldia laevigata, Palaquium amboinense, Pometia pinnata, Garcinia sp., Spathiostemon javensis, Prunus costata, Sterculia macrophylla, Terminalia complanata, Lepiniopsis ternatensis, Horsfieldia irya, Dysoxylum octandrum, Buchanania arborescens, and Ficus similis. Merbau responded to the high intensity of competition by tilting its canopy in the opposite direction to the position of the competitors’ canopy, making an irregular canopy shape, and growing the first branch at the lowest point on the stem. The ideal planting space for merbau trees in the plantations was 3-7 m.

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

Cited by 29 publications

References 18 publications

Effects of intraspecific competition on growth, architecture and biomass allocation of Quercus Liaotungensis

Effects of intraspecific competition on growth, architecture and biomass allocation of Quercus Liaotungensis

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

Ideal planting space for merbau (Intsia bijuga) forest plantations in Papua based on distance-dependent competition

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