Coarse woody debris features of a warm temperate deciduous broad-leaved forest, northern China

Ma, Fang; Zhuang, Liwen; Wang, Shunzhong; Sang, Weiguo

doi:10.1007/s11676-020-01192-w

Cited by 4 publications

(6 citation statements)

References 35 publications

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“…The annual frost-free period is about 195 days, and the annual sunshine is about 2600 h. Annual precipitation in the study area ranges between 500 and 650 mm, with June and August accounting for roughly 78% of total precipitation. Mountain brown soil is the parent soil material [ 36 ].…”

Section: Methodsmentioning

confidence: 99%

“…The Donglingshan Mountain sample plot has a warm-temperate continental monsoon climate with four distinct seasons, with a mean annual temperature of 4.8 • C, an average July (hottest) temperature of 18.3 • C, and an average January (coldest) temperature of −10.1 • C. The annual frost-free period is about 195 days, and the annual sunshine is about 2600 h. Annual precipitation in the study area ranges between 500 and 650 mm, with June and August accounting for roughly 78% of total precipitation. Mountain brown soil is the parent soil material [36].…”

Section: Study Sitementioning

confidence: 99%

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Spatial Distribution and Sustainable Development of Living Woody and Coarse Woody Debris in Warm-Temperate Deciduous Broadleaved Secondary Forests in China

Ma,

Wang,

Sang

et al. 2024

Plants

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The investigation into the spatial patterns of living woody (LWD) and coarse woody debris (CWD) in warm-temperate deciduous broadleaved secondary forests serves as a foundational exploration of the mechanisms governing coexistence and mortality in forest ecosystems. The complete spatial randomness null model (CSR) was employed to analyze spatial distribution patterns, with the independent component null model (IC) and canonical correspondence analysis (CCA) utilized to elucidate spatial correlations and topographic influences. All three models were applied to LWD and CWD across various size classes within a 20-hectare plot in the Dongling Mountains. The study’s findings indicate that both LWD and CWD predominantly exhibited aggregated patterns, transitioning to a random distribution as the size class increased. Both increasing abundance and maximum diameter at breast height (DBH) also have a significant influence on the distribution of species. Notably, rare species exhibited higher aggregation compared to common and abundant species. The spatial correlation results between LWD and CWD across various size classes predominantly showed positive correlations and uncorrelated patterns within the sampled plots. CCA analysis further revealed that elevation, convexity, slope, and aspect significantly influenced the spatial patterns of LWD and CWD across different size classes. Within the sample site, trees display a tendency to grow and die in clusters. Biotic factors have a more significant influence on species distribution than abiotic factors.

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Section: Methodsmentioning

confidence: 99%

Section: Study Sitementioning

confidence: 99%

Spatial Distribution and Sustainable Development of Living Woody and Coarse Woody Debris in Warm-Temperate Deciduous Broadleaved Secondary Forests in China

Ma,

Wang,

Sang

et al. 2024

Plants

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“…Our results are consistent with the findings on the distribution patterns of CWD in the Dongling Mountains of Beijing, China. Ma et al [26] indicated that CWD tended to be aggregated on a small scale and be more randomly distributed on a large scale. However, the CWD of Moso bamboo in TF mainly showed aggregation distribution regardless of scale, and the aggregation intensity increased with the increase in scale (Figure 4d).…”

Section: Spatial Distribution Pattern Of Cwdmentioning

confidence: 99%

“…In SF, the CWD of each decay class was distributed randomly as a whole (Figure 6a,d). For a stable community without human disturbance, the formation of CWD is likely the result of natural thinning of forests, abnormal weather, and physiological death [26]. Self-thinning and physiological death are stable and long processes, and the resulting CWD distribution pattern is closely related to living trees.…”

Section: Spatial Distribution Pattern Of Cwdmentioning

confidence: 99%

“…However, the point pattern method is not affected by population density and can show all scales of a spatial pattern. Thus, it has been widely used in recent years [25][26][27]. The structure and spatial distribution patterns were usually studied using standing trees in previous studies in order to indirectly determine their regeneration and succession [28].…”

Section: Introductionmentioning

confidence: 99%

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Effects of Moso Bamboo Expansion on the Spatial Pattern of Coarse Woody Debris in Secondary Coniferous and Broad-Leaved Mixed Forest in Wuxie National Forest Park, China

Chen

Bai

2023

Forests

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The spatial pattern of coarse woody debris (CWD) within the surrounding forest changes continuously during the expansion of Moso bamboo (Phyllostachys edulis), which partly reflects the death process of trees within the community. In this paper, we sampled an area of 0.72 hm2 within the transition zone of Moso bamboo expansion, which included continuous secondary coniferous and broad-leaved mixed forest (SF), transitional forest (TF), and Moso bamboo forest (MF) in Wuxie National Forest Park, Zhejiang Province. The spatial pattern and spatial correlation of CWD with different diameter classes, different decay classes, and different types in the three forests were analyzed using Ripley’s L function. The results showed that, with the expansion of Moso bamboo, the volume of CWD in TF was higher than those in SF and MF, and the total density of CWD in the three forests varied, with a decreasing order of MF > TF > SF. The spatial pattern of CWD in the three forests was aggregated on a relatively small scale, but the pattern changed from aggregated to random distribution with the increase in scale. Moreover, the CWD of Moso bamboo in TF showed aggregated distribution, and the aggregation intensity increased with the increase in scale. With the expansion of Moso bamboo, the spatial pattern and spatial correlation of CWD with different diameter classes, decay classes, and types have changed significantly in the three forests. Our study suggests that the expansion of Moso bamboo is increasingly strengthening the intraspecific and interspecific competition and accelerating the death of neighboring trees.

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Microtopographic Variation in Biomass and Diversity of Living and Dead Wood in a Forest in Dongling Mountains, China

Ma,

Wang,

Sang

et al. 2023

Forests

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Habitat heterogeneity caused by topographic variations at the local scale is the environmental basis for the establishment and evolution of biodiversity and biomass patterns. The similarities and distinctions between the effects of microtopographic variables on living wood (LWD) and dead wood (CWD) remain unknown. In the present study, the response mechanisms of biomass and species diversity patterns of living wood (LWD) and coarse woody debris (CWD) to microtopographic parameters were quantified in a warm temperate secondary forest located in Dongling Mountain, China. This quantification was achieved using a generalized additive model on a completely mapped 20-hectare permanent plot. The evaluation of biomass and species diversity of woody plants was carried out by utilizing the total basal area of all individuals and the species richness within each 20 m × 20 m quadrat as a standard. The results indicate that there are notable disparities in the influence of microtopographic elements on the LWD and CWD. In the case of LWD, microtopography accounts for 22.90% of the variation in total basal area, with convexity making a greater relative contribution than elevation, slope, and aspect. Additionally, microtopography explains 46.20% of the variation in species richness, with aspect making a greater relative contribution than elevation, convexity, and slope. Nevertheless, the influence of microtopography on CWD may only account for a deviation of 10.20% in the total basal area and 4.95% in the species richness; aspect and slope have been identified as the primary drivers in this regard. The inclusion of microtopographic factors in the model resulted in a 23.10% increase in the explanatory deviations of LWD biomass and an 8.70% increase in the explanatory deviations of CWD biomass. The findings suggest that topographic considerations have a greater impact on the biomass distribution of LWD compared to that of CWD. Conversely, the biomass of CWD is more influenced by the species richness. The presence of microtopography plays a vital role in determining the spatial distribution of species and biomass at local scales, reflecting the multiple response mechanisms and growth strategies of vegetation in response to redistribution in water, soil, and light.

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Coarse woody debris features of a warm temperate deciduous broad-leaved forest, northern China

Cited by 4 publications

References 35 publications

Spatial Distribution and Sustainable Development of Living Woody and Coarse Woody Debris in Warm-Temperate Deciduous Broadleaved Secondary Forests in China

Spatial Distribution and Sustainable Development of Living Woody and Coarse Woody Debris in Warm-Temperate Deciduous Broadleaved Secondary Forests in China

Effects of Moso Bamboo Expansion on the Spatial Pattern of Coarse Woody Debris in Secondary Coniferous and Broad-Leaved Mixed Forest in Wuxie National Forest Park, China

Microtopographic Variation in Biomass and Diversity of Living and Dead Wood in a Forest in Dongling Mountains, China

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