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| Main Authors: | , , , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Biology
2025
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| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40282237/ |
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| _version_ | 1868266211772465152 |
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| author | Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan |
| author_facet | Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan |
| collection | PubMed - marine biology |
| contents | The Main Factors Affecting the Minimum Sampling Area Determination Method: Based on Research of the Shrub Layer in Island Forests. Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan Determining the minimum sampling area is crucial for accurate and cost-effective biodiversity surveys. This study identifies the main factors (e.g., species richness and evenness) influencing the inflection point method and precision method, aiming to scientifically establish the minimum sampling area for studying the shrub layer diversity of the community on Sandu Island, Ningde. Using 64 nested samples (20 m × 20 m) from eight sampling plots, we analyzed the species-area relationship and minimum sampling area. Key findings include the following: (1) The power function model ( = 4.053) best described the species-area relationship. (2) Species richness significantly influenced the inflection point method, with rare species increasing the required sampling area. (3) Species distribution uniformity and sampling methods affected model outcomes. (4) Repeated sampling from the four corners of the plots reduced bias caused by uneven species distribution. (5) Considering cost, accuracy, and inflection points, a minimum sampling area of 142 m achieved 70% sampling accuracy. This study provides a methodological framework for accurate minimum sampling area analysis and offers valuable insights for biodiversity studies of shrub layers in island ecosystems, with implications for international research on similar forest communities. |
| format | Artículo científico |
| id | pubmed_40282237 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Biology |
| record_format | pubmed |
| spellingShingle | The Main Factors Affecting the Minimum Sampling Area Determination Method: Based on Research of the Shrub Layer in Island Forests. Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan The Main Factors Affecting the Minimum Sampling Area Determination Method: Based on Research of the Shrub Layer in Island Forests. Xiao, Jihong Wen, Qingyan Zhong, Zhifei Xie, Yanqiu Wang, Yingxue Cai, Xing Lin, Yuchen Weng, Feifan Ding, Guochang Deng, Chuanyuan Determining the minimum sampling area is crucial for accurate and cost-effective biodiversity surveys. This study identifies the main factors (e.g., species richness and evenness) influencing the inflection point method and precision method, aiming to scientifically establish the minimum sampling area for studying the shrub layer diversity of the community on Sandu Island, Ningde. Using 64 nested samples (20 m × 20 m) from eight sampling plots, we analyzed the species-area relationship and minimum sampling area. Key findings include the following: (1) The power function model ( = 4.053) best described the species-area relationship. (2) Species richness significantly influenced the inflection point method, with rare species increasing the required sampling area. (3) Species distribution uniformity and sampling methods affected model outcomes. (4) Repeated sampling from the four corners of the plots reduced bias caused by uneven species distribution. (5) Considering cost, accuracy, and inflection points, a minimum sampling area of 142 m achieved 70% sampling accuracy. This study provides a methodological framework for accurate minimum sampling area analysis and offers valuable insights for biodiversity studies of shrub layers in island ecosystems, with implications for international research on similar forest communities. |
| title | The Main Factors Affecting the Minimum Sampling Area Determination Method: Based on Research of the Shrub Layer in Island Forests. |
| url | https://pubmed.ncbi.nlm.nih.gov/40282237/ |