Why Is the Diversity of Tree Species in China’s Lowland Rainforests Higher than in Its Montane Rainforests?

Despite extensive research on tree species diversity in tropical rainforests, the differences in diversity between lowland and montane rainforests, as well as the underlying mechanisms, remain unclear. This study utilizes tree inventory data from two dynamic monitoring sample plots, each with an area of 1 hm<sup>2</sup>, established in the lowland rainforest and montane rainforest regions of Diaoluo Mountain, Hainan Island. We analyzed the composition, diversity, spatial distribution patterns, and interspecific relationships within the tree communities. In total, 154 tree species with DBH > 3 cm were recorded in lowland rainforests, and 119 were recorded in montane rainforests, with lowland rainforests harboring 51 rare species compared to 40 rare species in montane rainforests. The distribution pattern of small trees (with DBH ≤ 7.5 cm) exhibited clustering at a small scale but random distribution at a larger scale. This phenomenon was more prevalent in tropical lowland rainforests, indicating that the negative density dependence effect is more pronounced in lowland rainforests compared to montane rainforests. Moreover, a higher proportion of negative associations and lower niche overlaps were observed in the lowland rainforest compared to the montane rainforest, suggesting that niche differentiation among tree species is more pronounced in the lowland rainforest. In conclusion, the more intense negative density dependence effect and niche differentiation are the primary factors contributing to the higher tree species diversity observed in lowland rainforests.

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Journal
Plants
Published
2025-02-07
DOI
https://doi.org/10.3390/plants14040505
Primary Topic
Ecology and Vegetation Dynamics Studies
Type
article
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article

Why Is the Diversity of Tree Species in China’s Lowland Rainforests Higher than in Its Montane Rainforests?

Ning Zhang, Guoyu Lan, Lang‐Xing Yuan, Yaqing Wei et al.
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Plants
Ecology and Vegetation Dynamics Studies
article

Why Is the Diversity of Tree Species in China’s Lowland Rainforests Higher than in Its Montane Rainforests?

Ning Zhang, Guoyu Lan, Lang‐Xing Yuan, Yaqing Wei, Wang Xin, Yuwu Li, T. Pang, Kepeng Ji
article en

Abstract

Despite extensive research on tree species diversity in tropical rainforests, the differences in diversity between lowland and montane rainforests, as well as the underlying mechanisms, remain unclear. This study utilizes tree inventory data from two dynamic monitoring sample plots, each with an area of 1 hm<sup>2</sup>, established in the lowland rainforest and montane rainforest regions of Diaoluo Mountain, Hainan Island. We analyzed the composition, diversity, spatial distribution patterns, and interspecific relationships within the tree communities. In total, 154 tree species with DBH > 3 cm were recorded in lowland rainforests, and 119 were recorded in montane rainforests, with lowland rainforests harboring 51 rare species compared to 40 rare species in montane rainforests. The distribution pattern of small trees (with DBH ≤ 7.5 cm) exhibited clustering at a small scale but random distribution at a larger scale. This phenomenon was more prevalent in tropical lowland rainforests, indicating that the negative density dependence effect is more pronounced in lowland rainforests compared to montane rainforests. Moreover, a higher proportion of negative associations and lower niche overlaps were observed in the lowland rainforest compared to the montane rainforest, suggesting that niche differentiation among tree species is more pronounced in the lowland rainforest. In conclusion, the more intense negative density dependence effect and niche differentiation are the primary factors contributing to the higher tree species diversity observed in lowland rainforests.

PlantsVol. 14(4)
Chinese Academy of Tropical Agricultural Sciences (CN), Qingdao Agricultural University (CN), Tropical Crops Genetic Resources Institute (CN), Rubber Research Institute (CN)
Openalex Percentile: Top 98%
Ecology and Vegetation Dynamics Studies
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