Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery
Sustainable urban environments are dependent on plant diversity in urban green spaces. However, there is no method to analyze the impact of urban landscape pattern on plant diversity in green spaces. In this study first, we have verified the applicability of Baidu Panorama on plant diversity (Shanno...
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Elsevier
2025-01-01
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| Series: | Global Ecology and Conservation |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2351989424005997 |
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| author | Yang Ye Hongfei Qiu Xingcan Zhou Xiong Li |
| author_facet | Yang Ye Hongfei Qiu Xingcan Zhou Xiong Li |
| author_sort | Yang Ye |
| collection | DOAJ |
| description | Sustainable urban environments are dependent on plant diversity in urban green spaces. However, there is no method to analyze the impact of urban landscape pattern on plant diversity in green spaces. In this study first, we have verified the applicability of Baidu Panorama on plant diversity (Shannon-Wiener index) by comparison to quadrat sampling. This street view imagery-based survey for 40 green spaces in Wuhan showed that the mean ± variance of plant diversity is arbor (1.39 ± 0.13) > weighted (1.34 ± 0.15) > shrub (1.12 ± 0.14) > herb (1.10 ± 0.24). Second, we calculated twelve landscape metrics based on land use and land cover data to describe urban landscape pattern in Wuhan, and found that the geographically weighted regression model had a greater ability to explain the influence of urban landscape on plant diversity. By the examination of plant diversity and canonical correspondence analysis (CCA) for species composition, we confirmed that a clear landscape structure and natural ecological lands improve the plant diversity, while artificial lands have both positive and negative effects on them. Third, evidence from local regression revealed that urban landscape pattern affected arbor, shrub, and herb diversity mostly at 1500 m, 1000 m, and 500 m, respectively. More native and exotic plant species appear in green spaces whose surrounding woodland is greater while construction land is less extensive. These findings not only provide experience for the built environment research application of street view imagery but also enlighten the way to protect plant diversity in urban environment. |
| format | Article |
| id | doaj-art-82df93a643624dbe8d91716604691e18 |
| institution | Kabale University |
| issn | 2351-9894 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
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| series | Global Ecology and Conservation |
| spelling | doaj-art-82df93a643624dbe8d91716604691e182025-01-23T05:27:01ZengElsevierGlobal Ecology and Conservation2351-98942025-01-0157e03395Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imageryYang Ye0Hongfei Qiu1Xingcan Zhou2Xiong Li3School of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Municipal Education Commission, Beijing 100083, ChinaCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, ChinaCollege of Horticulture and Forestry Sciences, Huazhong Agricultural University, Wuhan 430070, ChinaSchool of Landscape Architecture, Beijing Forestry University, Beijing 100083, China; Beijing Laboratory of Urban and Rural Ecological Environment, Beijing Municipal Education Commission, Beijing 100083, China; Correspondence to: No. 35 Qinghua East Road, Haidian District, Beijing 100083, China.Sustainable urban environments are dependent on plant diversity in urban green spaces. However, there is no method to analyze the impact of urban landscape pattern on plant diversity in green spaces. In this study first, we have verified the applicability of Baidu Panorama on plant diversity (Shannon-Wiener index) by comparison to quadrat sampling. This street view imagery-based survey for 40 green spaces in Wuhan showed that the mean ± variance of plant diversity is arbor (1.39 ± 0.13) > weighted (1.34 ± 0.15) > shrub (1.12 ± 0.14) > herb (1.10 ± 0.24). Second, we calculated twelve landscape metrics based on land use and land cover data to describe urban landscape pattern in Wuhan, and found that the geographically weighted regression model had a greater ability to explain the influence of urban landscape on plant diversity. By the examination of plant diversity and canonical correspondence analysis (CCA) for species composition, we confirmed that a clear landscape structure and natural ecological lands improve the plant diversity, while artificial lands have both positive and negative effects on them. Third, evidence from local regression revealed that urban landscape pattern affected arbor, shrub, and herb diversity mostly at 1500 m, 1000 m, and 500 m, respectively. More native and exotic plant species appear in green spaces whose surrounding woodland is greater while construction land is less extensive. These findings not only provide experience for the built environment research application of street view imagery but also enlighten the way to protect plant diversity in urban environment.http://www.sciencedirect.com/science/article/pii/S2351989424005997Green spacePlant diversityStreet view imageryUrban landscapeGeographically weighted regression |
| spellingShingle | Yang Ye Hongfei Qiu Xingcan Zhou Xiong Li Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery Global Ecology and Conservation Green space Plant diversity Street view imagery Urban landscape Geographically weighted regression |
| title | Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery |
| title_full | Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery |
| title_fullStr | Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery |
| title_full_unstemmed | Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery |
| title_short | Urban landscape pattern affects plant diversity in green spaces: Evidence from street view imagery |
| title_sort | urban landscape pattern affects plant diversity in green spaces evidence from street view imagery |
| topic | Green space Plant diversity Street view imagery Urban landscape Geographically weighted regression |
| url | http://www.sciencedirect.com/science/article/pii/S2351989424005997 |
| work_keys_str_mv | AT yangye urbanlandscapepatternaffectsplantdiversityingreenspacesevidencefromstreetviewimagery AT hongfeiqiu urbanlandscapepatternaffectsplantdiversityingreenspacesevidencefromstreetviewimagery AT xingcanzhou urbanlandscapepatternaffectsplantdiversityingreenspacesevidencefromstreetviewimagery AT xiongli urbanlandscapepatternaffectsplantdiversityingreenspacesevidencefromstreetviewimagery |