The species richness pattern and its component dependence of two typical secondary forests in central China

Guo, Feng; Huang, Jihong; Long, Wenxing; Ai, Xunru; Li, Junqing; Zang, Runguo

doi:10.1016/j.ecolind.2022.109370

Cited by 4 publications

(4 citation statements)

References 58 publications

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“…A growing body of studies showed that species richness depends heavily on abundance ( Xue et al., 2021 ; Feng et al., 2022 ), emphasizing the importance of considering the confusing impacts of abundance accumulation. However, researchers prefer to correct rather than quantifying confusing impacts of sample sizes.…”

Section: Introductionmentioning

confidence: 99%

“…However, researchers prefer to correct rather than quantifying confusing impacts of sample sizes. Consequently, the current challenges under confusing impacts of sample sizes leads to a misunderstanding of species diversity patterns in ecological researches ( Feng et al., 2022 ). Despite its intuitiveness and universality, species richness is oversimplifying as it is determined by combining the total numbers of species ( Chao et al., 2014 ), and it increases nonlinearly with the increasing sampling size ( Chase et al., 2018 ).…”

Section: Introductionmentioning

confidence: 99%

“…Species abundance distribution (SAD) effectively reflects the species richness and evenness as it directly quantifies the species and its dominance in the community ( McGill et al., 2007 ; Baldridge et al., 2016 ). However, the multiple dimensions and components of biodiversity render it difficult to identify the model fitting the SADs best and, in turn, reveal species diversity patterns ( Feng et al., 2022 ). In addition to revealing the biodiversity patterns, determining the ecological process driving the observed biodiversity patterns is another crucial unsolved issue.…”

Section: Introductionmentioning

confidence: 99%

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Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape

Meng,

Li,

Chen

et al. 2024

Front. Plant Sci.

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The various vegetation types in the karst landscape have been considered the results of heterogeneous habitats. However, the lack of a comprehensive understanding of regional biodiversity patterns and the underlying ecological processes limits further research on ecological management. This study established forest dynamic plots (FDPs) of the dominant vegetation types (shrubland, SL; mixed tree and shrub forest, MTSF; coniferous forest, CF; coniferous broadleaf mixed forest, CBMF; and broadleaf forest, BF) in the karst landscape and quantified the species diversity patterns and potential ecological processes. The results showed that in terms of diversity patterns, the evenness and species richness of the CF community were significantly lower than other vegetation types, while the BF community had the highest species richness. The other three vegetation types showed no significant variation in species richness and evenness. However, when controlling the number of individuals of FDPs, the rarefied species richness showed significant differences and ranked as BF > SL > MTSF > CBMF > CF, highlighting the importance of considering the impacts of abundance. Additionally, the community assembly of climax communities (CF or BF) was dominated by stochastic processes such as species dispersal or species formation, whereas deterministic processes (habitat filtering) dominated the secondary forests (SL, MTSF, and CBMF). These findings proved that community assembly differs mainly between the climax community and other communities. Hence, it is crucial to consider the biodiversity and of the potential underlying ecological processes together when studying regional ecology and management, particularly in heterogeneous ecosystems.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape

Meng,

Li,

Chen

et al. 2024

Front. Plant Sci.

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“…Studies on forest successional dynamics have focused mainly on temporal changes in taxonomic and functional diversity (Lohbeck et al, 2012;Pairo et al, 2021;Poorter et al, 2021). Many studies have described how the species richness of different life forms (e.g., trees, lianas, epiphytes), functional traits, forest structure (e.g., biomass, stem density, canopy height) and tree composition change during succession, compared with mature forests with low levels of human intervention (Martin et al, 2013;Letcher, 2015;Ceballos, 2020;Arnold et al, 2021;Poorter et al, 2021;Feng et al, 2022). Synthesis studies in tropical forests have found that tree species richness recovers after ca.…”

Section: Introductionmentioning

confidence: 99%

Combining chronosequences and multi‐census approaches to understand patterns of succession in subtropical montane forests of NW Argentina

Ceballos,

Malizia,

Carilla

et al. 2024

J Vegetation Science

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QuestionHow does the diversity of successional forests evolve with stand age, and to what extent do permanent plots validate the previously studied successional patterns of tree diversity and composition observed through chronosequences? To evaluate the role of successional forests as reservoirs for many species, it is essential to examine how biodiversity recovers with the age of the stand. We studied patterns of taxonomic and functional diversity, as well as species composition during forest succession, by combining chronosequences and permanent plot monitoring.LocationSubtropical montane forests in NW Argentina.MethodsWe used data from two chronosequences of plots monitored for 30 years in lower and upper montane forests dominated by native trees (LMF‐Native and UMF‐Native), and one chronosequence of plots dominated by the exotic tree Ligustrum lucidum, monitored for 10 years in low montane forests (LMF‐Invaded). We analyzed changes in taxonomic (species richness, Shannon diversity, Simpson diversity) and functional diversity, as well as composition with forest age.ResultsTaxonomic and functional diversity increased between 30 and 70 years of succession in LMF‐Native and UMF‐Native. Successional LMF‐Native forests reached the diversity of mature forests earlier than UMF‐Native. In LMF‐Invaded, taxonomic and functional diversity decreased in the same period because of the increasing dominance of the exotic species Ligustrum lucidum. In non‐invaded chronosequences (LMF‐Native and UMF‐Native) we observed a convergence towards the composition of mature forests; however, each successional forest kept its identity for 30 years.ConclusionsDiversity and composition followed different successional trajectories depending on the type of forest. We found that successional patterns, such as changes in taxonomic and functional diversity, predicted with the chronosequence approach, were confirmed with data from plot monitoring. The effects of pre‐abandonment conditions persist in the diversity and composition of successional forests monitored between 10 and 30 years.

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How do species richness and its component dependence vary along the natural restoration in extremely heterogeneous forest ecosystems?

Wu,

Yang,

Chen

et al. 2024

Journal of Environmental Management

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The species richness pattern and its component dependence of two typical secondary forests in central China

Cited by 4 publications

References 58 publications

Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape

Variations in species diversity patterns and community assembly rules among vegetation types in the karst landscape

Combining chronosequences and multi‐census approaches to understand patterns of succession in subtropical montane forests of NW Argentina

How do species richness and its component dependence vary along the natural restoration in extremely heterogeneous forest ecosystems?

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