Urban spontaneous plant richness in response to the 2D/3D building and green space patterns in a highly urbanized area DOI Creative Commons
Ruixue Liu,

Xianyouyang Yan,

Xiaolong Lin

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110852 - 110852

Published: Aug. 25, 2023

The impact of landscape patterns on urban plant diversity has received significant attention; however, previous studies have primarily focused two-dimensional (2D) patterns. Limited investigations been conducted to explore the effects three-dimensional (3D) diversity. Spontaneous plants are ideal objects for studying response environments due their independence from intentional human inputs. Buildings, as a crucial symbol urbanization, exhibit strong 3D characteristics in landscapes. Green spaces, most important source propagules cities, closely related spontaneous areas. Therefore, we examined how 2D/3D building and green space influence species richness compared responses between different categories (native non-native). We surveyed built-up areas Shenzhen, highly urbanized region situated along China’s southern coast. Our survey recorded 278 belonging 208 genera 77 families. Results boosted regression tree models (BRT) indicated correlations various metrics, including coverage ratio (BCR), mean height (MAH), (GCR), edge density spaces (ED_G), spatial congestion degree (SCD), floor area (FAR). These metrics exhibited complex nonlinear with plants. Furthermore, native non-native responded differently patterns; while was equally affected by patterns, more strongly impacted than ones. study quantified relationships demonstrating that optimizing can be practical approach managing promoting

Language: Английский

Land-use diversity can better predict urban spontaneous plant richness than impervious surface coverage at finer spatial scales DOI

Mingyang Chang,

Xinyi Luo,

Yaru Zhang

et al.

Journal of Environmental Management, Journal Year: 2022, Volume and Issue: 323, P. 116205 - 116205

Published: Sept. 15, 2022

Language: Английский

Citations

12

Utilizing spontaneous plants for sustainable development in residential green spaces: Insights from environmental drivers and niche analysis in Fuzhou City, China DOI

Chengyu Ran,

Jun–Yi Pan,

Yuxin Lin

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 368, P. 122219 - 122219

Published: Aug. 16, 2024

Language: Английский

Citations

2

Human activities affecting the species richness of urban spontaneous herbs under a three-scale factor framework DOI
Juanjuan Zhao, Zhihui Bai, Bo Jiang

et al.

Urban forestry & urban greening, Journal Year: 2024, Volume and Issue: unknown, P. 128654 - 128654

Published: Dec. 1, 2024

Language: Английский

Citations

2

Comparison of two methods for assessing the pollen allergy risk of urban parks in Chengdu City, China DOI
Hua Zong, Rui Yin,

Xiaoyi Wu

et al.

Urban forestry & urban greening, Journal Year: 2023, Volume and Issue: 86, P. 128014 - 128014

Published: June 25, 2023

Language: Английский

Citations

6

Urban spontaneous plant richness in response to the 2D/3D building and green space patterns in a highly urbanized area DOI Creative Commons
Ruixue Liu,

Xianyouyang Yan,

Xiaolong Lin

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 154, P. 110852 - 110852

Published: Aug. 25, 2023

The impact of landscape patterns on urban plant diversity has received significant attention; however, previous studies have primarily focused two-dimensional (2D) patterns. Limited investigations been conducted to explore the effects three-dimensional (3D) diversity. Spontaneous plants are ideal objects for studying response environments due their independence from intentional human inputs. Buildings, as a crucial symbol urbanization, exhibit strong 3D characteristics in landscapes. Green spaces, most important source propagules cities, closely related spontaneous areas. Therefore, we examined how 2D/3D building and green space influence species richness compared responses between different categories (native non-native). We surveyed built-up areas Shenzhen, highly urbanized region situated along China’s southern coast. Our survey recorded 278 belonging 208 genera 77 families. Results boosted regression tree models (BRT) indicated correlations various metrics, including coverage ratio (BCR), mean height (MAH), (GCR), edge density spaces (ED_G), spatial congestion degree (SCD), floor area (FAR). These metrics exhibited complex nonlinear with plants. Furthermore, native non-native responded differently patterns; while was equally affected by patterns, more strongly impacted than ones. study quantified relationships demonstrating that optimizing can be practical approach managing promoting

Language: Английский

Citations

6