Effect of Thinning on the Spatial Structure of a Larix gmelinii Rupr. Secondary Forest in the Greater Khingan Mountains

Tian, Zhang; Xiao, Dong; Guan, Hang; Meng, Yuan; Jiafu, Ruan; Wang, Zhiyong

doi:10.3390/f9110720

Cited by 18 publications

(11 citation statements)

References 33 publications

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“…The uniform angle index (W), mingling (M) and dominance (U) of each stand were calculated using the information shown in Table 2 [8]. To avoid edge effects, a buffer of 1m was set.…”

Section: Discussionmentioning

confidence: 99%

“…soil erosion and lower quality of harvested timber [6]. The potential for human intervention to improve the stand status of forests is a source of controversy [7,8]. Some researchers have found that forest planning provides many environmental benefits, and assists in making management decisions to improve the future state of forests.…”

mentioning

confidence: 99%

“…Such models can aid in formulating forest management measures [36,38]. The description and explanation of spatial structure and the relationships between single trees have become the focus of forest structure research [8,22] and are receiving increased attention. Rather than a description that focuses on analyzing individual forests as statistical units through statistical techniques [39][40][41][42], a quantitative analysis based on the relationship between neighbouring trees can enable managers to better understand the structure of a forest's microenvironment and make quantitative adjustments to the forest structure accordingly [8].…”

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confidence: 99%

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Comparing the Stand Structure of a Secondary Mixed Forest with Three Broad-Leaved Forests in China’s Greater Khingan Mountains

Guan¹,

Dong²,

Tian³

et al. 2020

Pol. J. Environ. Stud.

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There is a general consensus that mixed forests offer ecological and productivity advantages over singlespecies forests in most situations, e.g., higher habitat heterogeneity, high water-holding capacity, and greater diversity of species composition [1][2][3][4]. Meanwhile, studies have explored ways to convert pure plantations into mixed forests [5]. Nevertheless, for secondary forests, including those resulting from deforestation and damage by natural hazards, few studies exist, and still fewer compare mixed stands with pure tree species stands.Historically the Greater Khingan Mountains were rich in forest resources. However, due to severe damage from wildfires, especially in 1987, and continuous deforestation due to logging over many years, the forest status has been degraded, resulting in higher rates of

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“…The uniform angle index (W), mingling (M) and dominance (U) of each stand were calculated using the information shown in Table 2 [8]. To avoid edge effects, a buffer of 1m was set.…”

Section: Discussionmentioning

confidence: 99%

mentioning

confidence: 99%

mentioning

confidence: 99%

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Comparing the Stand Structure of a Secondary Mixed Forest with Three Broad-Leaved Forests in China’s Greater Khingan Mountains

Guan¹,

Dong²,

Tian³

et al. 2020

Pol. J. Environ. Stud.

Self Cite

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“…On the one hand, the spatial distribution pattern of a plant population is closely related to the biological characteristics of the plant species itself [58,59], including the diversity characteristics of a plant population and community, life history strategies, regeneration and reproduction patterns, intermediate and intraspecific competition, and inter-clonal trade-off. On the other hand, the spatial distribution pattern of a population is also deeply affected by external environmental factors [60,61], including the soil temperature, humidity, salinity, nutrition, and so on.…”

Section: Discussionmentioning

confidence: 99%

Fine-Scale Distribution Patterns of Phragmites australis Populations Across an Environmental Gradient in the Salt Marsh Wetland of Dunhuang, China

Jiao

Liu

et al. 2020

Sustainability

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The spatial distribution pattern of plants often reflects their ecological adaptation strategy and is formed by their long-term interaction with environmental factors. In this paper, the clonal plant, Phragmites australis, was investigated across environmental gradients, including the wet zone, the transitional zone and the desert zone of the salt marsh wetland of Dunhuang, China. The characteristics and influencing factors of their fine-scale spatial distribution patterns were studied by point pattern analysis, redundancy analysis and simple linear regression. The results show that: (1) the spatial distribution pattern of Phragmites australis changes from aggregation to non-aggregation (random and regular distribution) from the wet zone to the desert zone. (2) The soil water content, pH and salinity all affect Phragmites australis’ spatial distribution intensity. Simple linear regression reveals that the water content in each soil layer, the pH of the deep soil layer and the salinity of the surface and deep soil layers are the main soil conditions of Phragmites australis’ spatial distribution pattern. (3) Phragmites australis’ population characteristics and clonal characteristics also have significant effects on its spatial distribution intensity. Specifically, the intensity of its spatial distribution pattern is significantly positively correlated with its cover, frequency, density, height, biomass, node number, ramet number and stem diameter (p < 0.01), while it is significantly negatively correlated with its rhizome internode length, spacer length and branch angle (p < 0.01). This research clarified the relationship between the spatial distribution pattern of Phragmites australis with soil environmental factors, plant clonal characteristics and population characteristics. The results provide a theoretical basis for understanding the ecological adaptation mechanism of clonal plants and protecting the sustainability of fragile and sensitive inland river wetland ecosystems.

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“…Secondary forests have been reported to sequester carbon at higher rates through faster growth [19]. However, a study gives the opposite view that secondary forests have low productivity, low carbon sequestration rate and low soil fertility, which seriously restrict and affect the sustainable development of the forest [20]. This means that completely transforming the stand structure through natural renewal would be a long process.…”

Section: Introductionmentioning

confidence: 99%

The Effect of Thinning Management on the Carbon Density of the Tree Layers in Larch–Birch Mixed Natural Secondary Forests of the Greater Khingan Range, Northeastern China

Meng

Zhang

et al. 2022

Forests

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Natural secondary forests not only contribute to the total balance of terrestrial carbon, but they also play a major role in the future mitigation of climate change. In China, secondary forests have low productivity and carbon sequestration, which seriously restricts the sustainable development of the forest. Thinning is a core measure of scientific management of forest ecosystems and is a primary natural forest management technique. The carbon density of the tree layer is most affected by thinning. Taking larch–birch mixed natural secondary forests in the Greater Khingan Range, Northeast China, as the research object, we analyzed the changes in tree layer carbon density of secondary forests under different thinning intensities. The results showed that in five thinned groups, when intensity was 49.6%, the diameter at breast height (DBH) and individual tree biomass significantly increased. Thinning had no significant effect on the carbon content of the tree stem, branches and bark, but had significant effects on the carbon content of leaves. Our result showed that the carbon content of birch leaves increased and that of larch decreased. As the thinning intensity increases, the proportion of broad-leaved tree species (birch) increased, yet larch decreased. In the short term, thinning will reduce the total biomass and carbon density of tree layers. However, when the thinning intensity was 49.6%, the carbon accumulation was higher than that of the blank control group (CK group) after thinning for 12 years. This shows that after a long period of time, the carbon density of tree layers will exceed that of the CK group. Reasonable thinning intensity management (49.6% thinning intensity) of natural secondary forests can make trees grow better, and the proportion of broad-leaved trees increases significantly. It can also increase the carbon sequestration rate and lead to more accumulation of biomass and carbon density. This can not only promote the growth of secondary forests, but also shows great potential for creating carbon sinks and coping with climate change.

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Effect of Thinning on the Spatial Structure of a Larix gmelinii Rupr. Secondary Forest in the Greater Khingan Mountains

Cited by 18 publications

References 33 publications

Comparing the Stand Structure of a Secondary Mixed Forest with Three Broad-Leaved Forests in China’s Greater Khingan Mountains

Comparing the Stand Structure of a Secondary Mixed Forest with Three Broad-Leaved Forests in China’s Greater Khingan Mountains

Fine-Scale Distribution Patterns of Phragmites australis Populations Across an Environmental Gradient in the Salt Marsh Wetland of Dunhuang, China

The Effect of Thinning Management on the Carbon Density of the Tree Layers in Larch–Birch Mixed Natural Secondary Forests of the Greater Khingan Range, Northeastern China

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