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

• Published in: Plants (Basel) 2024-02, Vol.13 (5), p.638
• Main Authors: Ma, Fang, Wang, Shunzhong, Sang, Weiguo, Zhang, Shuang, Ma, Keming
• Format: Article
• Language: English
• Subjects: Abiotic factors; Biotic factors; Coexistence; Convexity; Correlation; Debris; Deciduous forests; Deciduous trees; Distribution; Distribution patterns; Ecological research; Environmental aspects; Forest ecosystems; Forests; Forests and forestry; Geographical distribution; habitat heterogeneity; Habitats; Investigations; Mountains; Rare species; size class; Spatial distribution; spatial distribution pattern; Sustainable development; Terrestrial ecosystems; Trees; warm-temperate secondary forest; Wood
• ISSN: 2223-7747; 2223-7747
• DOI: 10.3390/plants13050638

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.