Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park

[Objective] Long-term monitoring of plant community dynamics in large forest plots helps reveal the spatial patterns and underlying mechanisms that sustain species diversity. These insights form a solid scientific foundation for biodiversity conservation in the region. [Methods] Taking the typical...

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Main Authors: WANG Dinghui, SUONAN Cairang, YU Hongyan, DU Yangong
Format: Article
Language:zho
Published: Science Press 2024-12-01
Series:Xibei zhiwu xuebao
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Online Access:http://xbzwxb.alljournal.net/xbzwxb/article/abstract/20240336?st=article_issue
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author WANG Dinghui
SUONAN Cairang
YU Hongyan
DU Yangong
author_facet WANG Dinghui
SUONAN Cairang
YU Hongyan
DU Yangong
author_sort WANG Dinghui
collection DOAJ
description [Objective] Long-term monitoring of plant community dynamics in large forest plots helps reveal the spatial patterns and underlying mechanisms that sustain species diversity. These insights form a solid scientific foundation for biodiversity conservation in the region. [Methods] Taking the typical forest ecosystem as the research object in the Qinghai area of Qilian Mountain National Park, we used the adjacent grid method to conduct a survey of each tree in a 24 hm2 large sample plot. [Results] There was a total of 35 835 trees, of which Picea crassifolia and Juniperus przewalskii accounted for 57.84% and 23.82%, respectively. Species richness and plant height were 3 species and 10.7 m, respectively. Shannon- Wiener and Simpson index of spruce forest were 0.74 and 0.43, respectively, Shannon-Wiener index was relatively low. The Shannon-Wiener index was significantly influenced by tree height, species richness, and Simpson index. As the tree height increased, the Shannon-Wiener was decreased, while the species richness and Simpson index were increased significantly. The coefficients of determination for the training and testing sets of the machine learning model were 0.95 and 0.93, respectively, with root mean square errors of only 0.06 and 0.08. This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. [Conclusion] The species diversity of the Qinghai spruce forest is relatively low and is significantly influenced by tree height, species richness, and the Simpson index. These factors play a crucial role in maintaining the biodiversity of the region.
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institution Kabale University
issn 1000-4025
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publishDate 2024-12-01
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spelling doaj-art-9a14edb366cf4b788a5b8be6822960402025-02-11T13:17:23ZzhoScience PressXibei zhiwu xuebao1000-40252024-12-0144121973197910.7606/j.issn.1000-4025.20240336Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National ParkWANG Dinghui0SUONAN Cairang1YU Hongyan2DU Yangong3Qinghai Provincial Environmental Engineering Technology Assessment Center, Xining 810008, ChinaQinghai Province Forage Technology Promotion Station, Xining 810007, ChinaQinghai Service Guarantee Center of Qilian Mountain National Park, Xining 810056, ChinaNorthwest Institute of Plateau Biology, Chinese Academy of Sciences, Xining 810001, China[Objective] Long-term monitoring of plant community dynamics in large forest plots helps reveal the spatial patterns and underlying mechanisms that sustain species diversity. These insights form a solid scientific foundation for biodiversity conservation in the region. [Methods] Taking the typical forest ecosystem as the research object in the Qinghai area of Qilian Mountain National Park, we used the adjacent grid method to conduct a survey of each tree in a 24 hm2 large sample plot. [Results] There was a total of 35 835 trees, of which Picea crassifolia and Juniperus przewalskii accounted for 57.84% and 23.82%, respectively. Species richness and plant height were 3 species and 10.7 m, respectively. Shannon- Wiener and Simpson index of spruce forest were 0.74 and 0.43, respectively, Shannon-Wiener index was relatively low. The Shannon-Wiener index was significantly influenced by tree height, species richness, and Simpson index. As the tree height increased, the Shannon-Wiener was decreased, while the species richness and Simpson index were increased significantly. The coefficients of determination for the training and testing sets of the machine learning model were 0.95 and 0.93, respectively, with root mean square errors of only 0.06 and 0.08. This indicated that the model had a high explanatory power and prediction accuracy for the Shannon-Wiener data. [Conclusion] The species diversity of the Qinghai spruce forest is relatively low and is significantly influenced by tree height, species richness, and the Simpson index. These factors play a crucial role in maintaining the biodiversity of the region.http://xbzwxb.alljournal.net/xbzwxb/article/abstract/20240336?st=article_issuesouthern slope of qilian mountainsforest large sample plotsqinghai spruce forestspecies richnessshannon-wiener index
spellingShingle WANG Dinghui
SUONAN Cairang
YU Hongyan
DU Yangong
Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
Xibei zhiwu xuebao
southern slope of qilian mountains
forest large sample plots
qinghai spruce forest
species richness
shannon-wiener index
title Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
title_full Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
title_fullStr Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
title_full_unstemmed Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
title_short Biodiversity characteristics of large forest plots in Qinghai area of Qilian Mountain National Park
title_sort biodiversity characteristics of large forest plots in qinghai area of qilian mountain national park
topic southern slope of qilian mountains
forest large sample plots
qinghai spruce forest
species richness
shannon-wiener index
url http://xbzwxb.alljournal.net/xbzwxb/article/abstract/20240336?st=article_issue
work_keys_str_mv AT wangdinghui biodiversitycharacteristicsoflargeforestplotsinqinghaiareaofqilianmountainnationalpark
AT suonancairang biodiversitycharacteristicsoflargeforestplotsinqinghaiareaofqilianmountainnationalpark
AT yuhongyan biodiversitycharacteristicsoflargeforestplotsinqinghaiareaofqilianmountainnationalpark
AT duyangong biodiversitycharacteristicsoflargeforestplotsinqinghaiareaofqilianmountainnationalpark