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Wei B, Zou W, Hu X, Wang Y, Chen C, Tang J, Kang P, Gao H, Tang J, Pan Z. Evolution of rates, patterns, and driving forces of green eco-spaces in a subtropical hilly region. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:172093. [PMID: 38556019 DOI: 10.1016/j.scitotenv.2024.172093] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 03/23/2024] [Accepted: 03/27/2024] [Indexed: 04/02/2024]
Abstract
Monitoring ecological resource change in mountainous and hilly areas (MHAs) is vital for theoretical and practical advancements of ecological resource utilization and management in complex ecosystems. The factors driving structural and functional changes in green eco-spaces (GES) in these areas are complex and uncertain, with notable spatial scale effects. However, analyzing the multi-scale driving mechanisms of ecological and socioeconomic factors at a fine spatiotemporal scale presents significant challenges. To address these challenges, we analyzed dynamic changes in GES and eco-socio-economic development in Shanghang County, a typical mountainous region in southern China. We used multiple linear regression and multi-scale geographically weighted regression model to identify key factors driving GES changes and their multi-scale effects at both global and local levels. Over the past two decades, the GES area in the study area has exhibited a consistent pattern of decline, characterized by phases of gradual decline (2000-2005), sharp decline (2005-2009), slow decline (2009-2019). Key global factors driving GES changes included elevation (ELE), slope (SLOPE), population density (PD), distance to settlements (SETTLE), and distance to administrative centers (ADMIN). These factors exhibited significant spatial heterogeneity and multi-scale effects on GES changes. Specifically, SETTLE, PD, SLOPE, and ELE consistently drove GES changes at the local level, while ADMIN only showed significant localized effects during 2005-2009. The synergy between SETTLE and SLOPE had a considerable impact on GES changes, increasing over time, whereas ELE and PD demonstrated a consistent trade-off effect. These findings provide detailed spatiotemporal insights into the driving mechanisms of natural ecological resources, offering crucial guidance for environmental management, land source management, regional economic development, and biodiversity conservation in Shanghang and analogous subtropical hilly regions worldwide.
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Affiliation(s)
- Baojing Wei
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China; National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, College of Life and Environmental Sciences, CSUFT, Changsha, Hunan 410004, China
| | - Wei Zou
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China
| | - Xijun Hu
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China.
| | - Yezi Wang
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China
| | - Cunyou Chen
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China
| | - Jin Tang
- Beijing Accurate Technology Co., Ltd., Beijing 100080, China
| | - Peng Kang
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, College of Life and Environmental Sciences, CSUFT, Changsha, Hunan 410004, China
| | - Haiqiang Gao
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, College of Life and Environmental Sciences, CSUFT, Changsha, Hunan 410004, China
| | - Jia Tang
- College of Landscape Architecture, Hunan Provincial Big Data Engineering Technology Research Center of Natural Protected Areas Landscape Resources, Institute of Urban and Rural Landscape Ecology, Yuelushan Laboratory Variety Innovation Center, Central South University of Forestry and Technology (CSUFT), Changsha 410004, China
| | - Zhenzhen Pan
- National Engineering Laboratory for Applied Technology of Forestry & Ecology in South China, College of Life and Environmental Sciences, CSUFT, Changsha, Hunan 410004, China
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Xu H, Zhang F, Li W, Shi J, Johnson BA, Tan ML. Spatial-temporal pattern of change in production-living-ecological space of Nanchong City from 2000 to 2020 and underlying factors. ENVIRONMENTAL MONITORING AND ASSESSMENT 2023; 196:94. [PMID: 38150164 DOI: 10.1007/s10661-023-12249-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 12/14/2023] [Indexed: 12/28/2023]
Abstract
This study analyzed the spatial-temporal change pattern and underlying factors in production-living-ecological space (PLES) of Nanchong City, China, over the past 20 years using historical land use data (2000, 2010, 2020). A land use transfer matrix was calculated from the historical land use maps, and spatial analysis was conducted to analyze changes in the land use dynamics degree, standard deviation ellipse, and center of gravity. The results showed that there was a rapid spatial evolution of the PLES in Nanchong from 2000 to 2010, followed by a stabilization in the second decade. The transfer of ecological-production space occurred mainly in the Jialing and Yilong River basins, while the reduction of production space and the increase of living space were most prominent in the intersection of three districts (Shunqing, Jialing, and Gaoping districts). The return of production-ecological space was observed in the south and northeast of Yingshan, and there was little notable transfer of other types. The distribution of production space in Nanchong evolved in a north-south to east-west trend, with the center of gravity moving from Yilong to Peng'an County. The living space and production space expanded in a north-south direction, and the center of gravity position was in Nanbu, indicating a more balanced growth or decrease in the last 20 years. The changes in the spatial-temporal pattern of PLES in Nanchong were attributed to the intertwined factors of national policies, economic development, population growth, and the natural environment. This study introduced a novel approach towards rational planning of land resources in Nanchong, which may facilitate more sustainable urban planning and development.
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Affiliation(s)
- Haowei Xu
- College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua, 32004, China
| | - Fei Zhang
- College of Geography and Environment Sciences, Zhejiang Normal University, Jinhua, 32004, China.
| | - Weipeng Li
- School of Geographical Sciences, China West Normal University, Nanchong, 637009, China
| | - Jingchao Shi
- Department of Earth Sciences, The University of Memphis, Memphis, TN, 38152, USA
| | - Brian Alan Johnson
- Natural Resources and Ecosystem Services Area, Institute for Global Environmental Strategies, Hayama, Kanagawa, 2400115, Japan
| | - Mou Leong Tan
- GeoInformatic Unit, Geography Section, School of Humanities, Universiti Sains Malaysia, Penang, 11800, Malaysia
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