Species diversity and distribution pattern of venerable trees in tropical Jianfengling National Forest Park (Hainan, China)

Xie, Chunping; Chen, Lin; Luo, Wen; Jim, C.Y.

doi:10.1016/j.jnc.2023.126542

Journal for Nature Conservation

2024

DOI: 10.1016/j.jnc.2023.126542

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Species diversity and distribution pattern of venerable trees in tropical Jianfengling National Forest Park (Hainan, China)

Chunping Xie,

Lin Chen,

Wen Luo

et al.

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2024

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Cited by 4 publications

References 57 publications

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Species composition, distribution patterns, and conservation needs of large old trees in Baisha, southern China

Xie,

Wu,

Liu

et al. 2024

Urban Ecosyst

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Species composition, distribution patterns, and conservation needs of large old trees in Baisha, southern China

Xie,

Wu,

Liu

et al. 2024

Urban Ecosyst

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Diversity and abundance of large old trees in Hainan Island: Spatial analysis and environmental correlations

Xie,

Yan,

Liu

et al. 2024

Biotropica

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Large old trees (LOTs) are invaluable natural treasures and cultural legacies, holding ecological, historical, social, and economic significance. However, climate change and human impacts threaten their existence. Understanding their species composition, age structure, biomass, and distribution patterns in relation to environmental factors is essential for effective conservation. In Hainan Island, South China, we analyzed 1081 LOTs from 74 species across 35 families, using a combination of field surveys and government data. The dominant families were Moraceae, Sapindaceae, and Fagaceae, with key species including Ficus altissima, Litchi chinensis, and Tamarindus indica. The age distribution followed a reverse J‐shape, indicating a prevalence of trees aged 300–399 years. In contrast, diameter at breast height (DBH) and height distributions were unimodal, favoring medium to large‐sized trees. Spatial analysis revealed uneven distribution patterns: the western zone exhibited the highest species diversity, the central zone moderate diversity, and the eastern zone low diversity, reflecting uneven urban and agricultural impacts. Most LOTs were concentrated at elevations of 0–50 m. Factors such as GDP, urbanization, and forest cover positively correlated with LOT abundance and diversity, with forest cover and average annual temperature particularly favoring these trees. The findings emphasize the intricate relationship between environmental factors and LOT distribution. They advocate for tailored conservation strategies that address the complex interplay of ecological, socioeconomic, and cultural influences on their preservation.Abstract in Chinese is available with online material.

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A Visitor Experience Perception Method for Hainan Forest Scenic Area Based on Keyword Analysis of Network Comments

Jingfei

2024

Applied Mathematics and Nonlinear Sciences

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With the rapid development of the Internet, a large number of travelers have posted comments on the experience of tourist attractions on the Internet, but the large number of comments generates a large amount of data, which makes it difficult to understand the experience of tourists. For this reason, this paper improves on the basis of the LSTM keyword analysis algorithm. To obtain the attribute words and viewpoint words of implicit states, a neural network is constructed, and the candidate attribute words are refined. Then, four sentiment rules are refined through the memory space of a deep memory network, according to which the sentiment tendency of keywords is analyzed. Synthesize based on the keyword extraction algorithm and keyword sentiment analysis, and propose an algorithm for analyzing tourists’ experience. Finally, the new algorithm is used to analyze the network comments of the Hainan Forest Scenic Area. The results found that the Hainan Forest Scenic Area, with its beautiful forest scenery, gives tourists a pleasant experience. The word frequency ranking of scenic views is 6.8, which is more forward. The cumulative word frequency of “crowded”, “consumption,” and other related items is only 0.559, which is at a lower level, indicating that the shortcomings of this scenic spot lie in the excessive number of tourists and unstandardized consumption items.

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Species diversity and distribution pattern of venerable trees in tropical Jianfengling National Forest Park (Hainan, China)

Cited by 4 publications

References 57 publications

Species composition, distribution patterns, and conservation needs of large old trees in Baisha, southern China

Species composition, distribution patterns, and conservation needs of large old trees in Baisha, southern China

Diversity and abundance of large old trees in Hainan Island: Spatial analysis and environmental correlations

A Visitor Experience Perception Method for Hainan Forest Scenic Area Based on Keyword Analysis of Network Comments

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