Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas

Urban trees provide a range of ecological services for urban dwellers. This is particularly true in residential areas where these services are known and valued. The abundance and diversity of trees determine and indicate the provision of ecological services by trees, while various characteristics of...

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Autores principales: Min Jiao, Haoran Xue, Jingli Yan, Zhong Zheng, Jia Wang, Cheng Zhao, Lu Zhang, Weiqi Zhou
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Lenguaje:EN
Publicado: Elsevier 2021
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spelling oai:doaj.org-article:964346853ac94e10a537df1741c700812021-12-01T04:46:44ZTree abundance, diversity and their driving and indicative factors in Beijing’s residential areas1470-160X10.1016/j.ecolind.2021.107462https://doaj.org/article/964346853ac94e10a537df1741c700812021-06-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21001278https://doaj.org/toc/1470-160XUrban trees provide a range of ecological services for urban dwellers. This is particularly true in residential areas where these services are known and valued. The abundance and diversity of trees determine and indicate the provision of ecological services by trees, while various characteristics of residential areas determine and indicate the abundance and diversity of trees within those areas. Exploring the abundance and diversity of trees in residential areas and their major driving and indicative factors is important for evaluating, predicting, and thus improving the ecological services provided by trees. Here, we selected 87 residential areas in Beijing through spatially stratified random sampling. Unlike the quadrat survey that is usually used, we conducted a detailed investigation of the abundance and diversity of trees in residential areas through a tree-by-tree survey and explored the major driving and indicative factors of the abundance and diversity of the trees. In the 87 sampled residential areas, 69 tree taxa belonging to 34 families were identified, and we found that the 10 most common species accounted for 55.9% of all trees. Trees in the residential areas had both high allergenic risk and high ornamental value. In newly built residential areas, the allergenic risk decreased but the ornamental value remained high. Average building height and distance to the city center were the two major driving and indicative factors of residential tree abundance, both of which were positive indicators, and the former played a larger role than that of the latter. In this study, distance to the city center was the only predicator of tree species diversity, and was also a positive indicator. The size of residential area did not show any relationship with tree abundance or diversity. Even though housing age and housing price were not included in the forecasting model, both showed a negative correlation with tree abundance, i.e., an opposite legacy effect and luxury effect. The results of this study can help in understanding tree abundance and diversity and their driving and indicative factors in residential areas in highly urbanized cities and can provide potential guidance for future residential tree planning and management.Min JiaoHaoran XueJingli YanZhong ZhengJia WangCheng ZhaoLu ZhangWeiqi ZhouElsevierarticleUrban treesResidential areasAbundanceDiversityOrnamentalAllergenicEcologyQH540-549.5ENEcological Indicators, Vol 125, Iss , Pp 107462- (2021)
institution DOAJ
collection DOAJ
language EN
topic Urban trees
Residential areas
Abundance
Diversity
Ornamental
Allergenic
Ecology
QH540-549.5
spellingShingle Urban trees
Residential areas
Abundance
Diversity
Ornamental
Allergenic
Ecology
QH540-549.5
Min Jiao
Haoran Xue
Jingli Yan
Zhong Zheng
Jia Wang
Cheng Zhao
Lu Zhang
Weiqi Zhou
Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
description Urban trees provide a range of ecological services for urban dwellers. This is particularly true in residential areas where these services are known and valued. The abundance and diversity of trees determine and indicate the provision of ecological services by trees, while various characteristics of residential areas determine and indicate the abundance and diversity of trees within those areas. Exploring the abundance and diversity of trees in residential areas and their major driving and indicative factors is important for evaluating, predicting, and thus improving the ecological services provided by trees. Here, we selected 87 residential areas in Beijing through spatially stratified random sampling. Unlike the quadrat survey that is usually used, we conducted a detailed investigation of the abundance and diversity of trees in residential areas through a tree-by-tree survey and explored the major driving and indicative factors of the abundance and diversity of the trees. In the 87 sampled residential areas, 69 tree taxa belonging to 34 families were identified, and we found that the 10 most common species accounted for 55.9% of all trees. Trees in the residential areas had both high allergenic risk and high ornamental value. In newly built residential areas, the allergenic risk decreased but the ornamental value remained high. Average building height and distance to the city center were the two major driving and indicative factors of residential tree abundance, both of which were positive indicators, and the former played a larger role than that of the latter. In this study, distance to the city center was the only predicator of tree species diversity, and was also a positive indicator. The size of residential area did not show any relationship with tree abundance or diversity. Even though housing age and housing price were not included in the forecasting model, both showed a negative correlation with tree abundance, i.e., an opposite legacy effect and luxury effect. The results of this study can help in understanding tree abundance and diversity and their driving and indicative factors in residential areas in highly urbanized cities and can provide potential guidance for future residential tree planning and management.
format article
author Min Jiao
Haoran Xue
Jingli Yan
Zhong Zheng
Jia Wang
Cheng Zhao
Lu Zhang
Weiqi Zhou
author_facet Min Jiao
Haoran Xue
Jingli Yan
Zhong Zheng
Jia Wang
Cheng Zhao
Lu Zhang
Weiqi Zhou
author_sort Min Jiao
title Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
title_short Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
title_full Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
title_fullStr Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
title_full_unstemmed Tree abundance, diversity and their driving and indicative factors in Beijing’s residential areas
title_sort tree abundance, diversity and their driving and indicative factors in beijing’s residential areas
publisher Elsevier
publishDate 2021
url https://doaj.org/article/964346853ac94e10a537df1741c70081
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AT haoranxue treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT jingliyan treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT zhongzheng treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT jiawang treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT chengzhao treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT luzhang treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
AT weiqizhou treeabundancediversityandtheirdrivingandindicativefactorsinbeijingsresidentialareas
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