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Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia

International interest is growing in biodiversity conservation and sustainable use in drylands. Desert ecosystems across arid Central Asia are severely affected by global change. Understanding the changes in a plant community is an essential prerequisite to revealing the community assembly mechanism...

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Autores principales: Tao, Ye, Zhou, Xiao-Bing, Yin, Ben-Feng, Dimeyeva, Liliya, Zhang, Jing, Zang, Yong-Xin, Zhang, Yuan-Ming
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537988/
https://www.ncbi.nlm.nih.gov/pubmed/37765450
http://dx.doi.org/10.3390/plants12183286
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author Tao, Ye
Zhou, Xiao-Bing
Yin, Ben-Feng
Dimeyeva, Liliya
Zhang, Jing
Zang, Yong-Xin
Zhang, Yuan-Ming
author_facet Tao, Ye
Zhou, Xiao-Bing
Yin, Ben-Feng
Dimeyeva, Liliya
Zhang, Jing
Zang, Yong-Xin
Zhang, Yuan-Ming
author_sort Tao, Ye
collection PubMed
description International interest is growing in biodiversity conservation and sustainable use in drylands. Desert ecosystems across arid Central Asia are severely affected by global change. Understanding the changes in a plant community is an essential prerequisite to revealing the community assembly mechanism, vegetation conservation, and management. The knowledge of large-scale spatial variation in plant community structure in different Central Asian deserts is still limited. In this study, we selected the Taukum (TD, Kazakhstan) and the Gurbantunggut (GD, China) deserts as the research area, with similar latitudes despite being nearly 1000 km apart. Thirteen and 15 sampling plots were set up and thoroughly investigated. The differences in community structure depending on multiple plant attributes (individual level: plant height, canopy diameter, and plant volume, and community level: plant density, total cover, and total volume) were systematically studied. TD had a better overall environmental status than GD. A total of 113 species were found, with 68 and 74 in TD and GD, respectively. The number of species and plant attributes was unequally distributed across different families and functional groups between deserts. The values of several plant attributes, such as ephemerals, annuals, dicotyledons, and shrubs with assimilative branches in GD, were significantly lower than those in TD. The Motyka indices of six plant attributes (26.18–38.61%) were higher between the two deserts than the species similarity index (20.4%), indicating a more robust convergence for plant functional attributes. The community structures in the two deserts represented by different plant attribute matrices demonstrated irregular differentiation patterns in ordination diagrams. The most variance in community structure was attributed to soil and climatic factors, while geographic factors had the smallest proportion. Consequently, the community structures of the two distant deserts were both different and similar to an extent. This resulted from the long-term impacts of heterogeneous environments within the same region. Our knowledge is further deepened by understanding the variation in community structure in different deserts on a large spatial scale. This therefore provides valuable insights into conserving regional biodiversity in Central Asia.
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spelling pubmed-105379882023-09-29 Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia Tao, Ye Zhou, Xiao-Bing Yin, Ben-Feng Dimeyeva, Liliya Zhang, Jing Zang, Yong-Xin Zhang, Yuan-Ming Plants (Basel) Article International interest is growing in biodiversity conservation and sustainable use in drylands. Desert ecosystems across arid Central Asia are severely affected by global change. Understanding the changes in a plant community is an essential prerequisite to revealing the community assembly mechanism, vegetation conservation, and management. The knowledge of large-scale spatial variation in plant community structure in different Central Asian deserts is still limited. In this study, we selected the Taukum (TD, Kazakhstan) and the Gurbantunggut (GD, China) deserts as the research area, with similar latitudes despite being nearly 1000 km apart. Thirteen and 15 sampling plots were set up and thoroughly investigated. The differences in community structure depending on multiple plant attributes (individual level: plant height, canopy diameter, and plant volume, and community level: plant density, total cover, and total volume) were systematically studied. TD had a better overall environmental status than GD. A total of 113 species were found, with 68 and 74 in TD and GD, respectively. The number of species and plant attributes was unequally distributed across different families and functional groups between deserts. The values of several plant attributes, such as ephemerals, annuals, dicotyledons, and shrubs with assimilative branches in GD, were significantly lower than those in TD. The Motyka indices of six plant attributes (26.18–38.61%) were higher between the two deserts than the species similarity index (20.4%), indicating a more robust convergence for plant functional attributes. The community structures in the two deserts represented by different plant attribute matrices demonstrated irregular differentiation patterns in ordination diagrams. The most variance in community structure was attributed to soil and climatic factors, while geographic factors had the smallest proportion. Consequently, the community structures of the two distant deserts were both different and similar to an extent. This resulted from the long-term impacts of heterogeneous environments within the same region. Our knowledge is further deepened by understanding the variation in community structure in different deserts on a large spatial scale. This therefore provides valuable insights into conserving regional biodiversity in Central Asia. MDPI 2023-09-17 /pmc/articles/PMC10537988/ /pubmed/37765450 http://dx.doi.org/10.3390/plants12183286 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Tao, Ye
Zhou, Xiao-Bing
Yin, Ben-Feng
Dimeyeva, Liliya
Zhang, Jing
Zang, Yong-Xin
Zhang, Yuan-Ming
Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title_full Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title_fullStr Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title_full_unstemmed Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title_short Combining Multiple Plant Attributes to Reveal Differences in Community Structure in Two Distant Deserts in Central Asia
title_sort combining multiple plant attributes to reveal differences in community structure in two distant deserts in central asia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10537988/
https://www.ncbi.nlm.nih.gov/pubmed/37765450
http://dx.doi.org/10.3390/plants12183286
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