Assessing Spatiotemporal Dynamics of Habitat Quality under Urbanization Stress in Guangdong Province: An inVEST-MGWR Analytical Approach DOI Open Access

Wenkun Wu,

Yinbo Li,

Mengze Yin

et al.

Published: Jan. 1, 2024

Amid Guangdong Province's swift urban growth, our research delves into the habitat quality's spatiotemporal trends and underlying factors over 2000-2018 period, employing InVEST model MGWR, grounded on comprehensive land-use data. Results indicate a relatively constant quality

Language: Английский

Spatial distribution and topographic gradient effects of habitat quality in the Chang-Zhu-Tan Urban Agglomeration, China DOI Creative Commons

Yi Mi,

Sheng Li, Zhiyuan Wang

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 29, 2024

This study aimed to analyze spatio-temporal changes in habitat quality Chang-Zhu-Tan Urban Agglomeration during the 2000-2020 period and explore its topographic gradient effects. Using land use data from this period, InVEST model was employed assess variations quality. The bivariate spatial autocorrelation used correlation characteristics between various topographical factors. Additionally, terrain factor analysis utilized effects on area. results reveal that: (1) primary area 2000 2020 predominantly involve substantial arable forest conversions into urban development. (2) average indices for 2000, 2010, stand at 0.651, 0.622, 0.606, respectively, indicating a consistent declining trend distribution of grades demonstrates pattern "lower central surroundings, higher surroundings." (3) shows significant positive correlations gradients. Spatial aggregation tendencies gradients primarily exhibit "high-high" "low-low" clustering. (4) agglomeration exhibits effect, characterized by an increase with rise gradient. outcomes contribute unveiling spatiotemporal within Agglomeration. Moreover, leveraging different types' distinctive characteristics, it proposes targeted conservation measures, thereby offering theoretical support biodiversity territorial planning

Language: Английский

Citations

5

Spatial-Temporal Evolution and Driving Factors of Habitat Quality Based on Different Topographic Gradients in Zhaotong City, Yunnan Province DOI
Chen Hong-min, Fenglian Liu, Bowen Yang

et al.

Journal of Resources and Ecology, Journal Year: 2025, Volume and Issue: 16(2)

Published: April 4, 2025

Language: Английский

Citations

0

Assessing the spatiotemporal characteristics and driving factors of habitat quality in sustainable development demonstration zones: a case study of Guilin City, China DOI Creative Commons
Jian Zhong Xu,

Deqin Fan,

Fangzhen Wang

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: April 24, 2025

Guilin City, located in a typical karst landform area China, is one of the sustainable development demonstration zones. Evaluating habitat quality City and exploring its driving factors are helpful formulating effective measures for development. Based on Integrated Valuation Ecosystem Servicesand Tradeoffs (InVEST) model combined methods such as spatial autocorrelation analysis, Geographical detector Geographically weighted regression (GWR) model, this study evaluated from 2001 to 2022. The also analyzed spatiotemporal characteristics their possible factors. results indicate that: (1) average was 0.59, with 47.98% classified having good or excellent quality; however, has shown downward trend over past 22 years. (2) Moran’s I values were all greater than 0.8, indicating significant positive correlation clustering. Among these, low–low aggregation regions largest, whereas high–high showed most decrease. (3) Elevation factor affecting differentiation Guilin. interactions between various stronger those any single factor, exhibiting dual-factor enhancement effect. This highlights complexity comprehensive impact multiple changes provides scientific basis policy recommendations ecological protection within national agenda’s innovative

Language: Английский

Citations

0

Assessment of future multiple ecosystem services in Central Asia based on the earth system model DOI
Hao Wang, Dafang Zhuang, Yunzhi Zhang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 466, P. 142907 - 142907

Published: June 14, 2024

Language: Английский

Citations

2

Habitat degradation changes and disturbance factors in the Tibetan Plateau in the 21st century DOI

Xiutong Pei,

Xueqi Zhao, Jiamin Liu

et al.

Environmental Research, Journal Year: 2024, Volume and Issue: 260, P. 119616 - 119616

Published: July 14, 2024

Language: Английский

Citations

2

Investigating the Effects of Mining on Ecosystem Services in Panzhihua City: A Multi-Scenario Analysis DOI Creative Commons

Xuanmiao Peng,

Xiaoai Dai,

Ryan Shi

et al.

Land, Journal Year: 2024, Volume and Issue: 13(6), P. 819 - 819

Published: June 7, 2024

Ecosystem services are fundamental for the sustainable management of urban environments, particularly in mining cities confronting unique socio-environmental complexities. This study explores intricate interactions among ecosystem a representative city, focusing on impact activities. A novel approach is employed to introduce comprehensive framework scenario-based analysis services. Land use and service values 2050 were predicted under following three scenarios: natural development, ecological protection, farmland protection. Through evaluation four key services, namely water yield, habitat quality, carbon storage, soil conservation, bundles identified, trade-offs synergies these explored. Moreover, areas analyzed compared region at large, underscoring how various mineral types distinctly influenced The results showed persistent decline total whole during 2000–2020 due diminishing forest cover enlargement impervious surfaces. Mining exhibited significant impacts, with erosion bundle predominating. However, significantly reduced granite, copper, nickel areas. By 2050, projected slowly rise, except protection scenario. entire expected be mostly occupied by vulnerability bundle. But decrease, especially scenario, highlighting importance conservation efforts. These changes will enhance between other

Language: Английский

Citations

1

Improving Urban Ecological Welfare Performance: An ST-LMDI Approach to the Yangtze River Economic Belt DOI Creative Commons
Jie Yang, Zhigang Li

Land, Journal Year: 2024, Volume and Issue: 13(8), P. 1318 - 1318

Published: Aug. 20, 2024

Enhancing urban ecological welfare performance is essential for achieving sustainable development and fostering a comprehensive regional green transformation. This study develops quantitative assessment framework performance, grounded in both the of residents their consumption resources. Employing spatio-temporal Logarithmic Mean Divisia Index model to dissect across 108 key prefecture-level cities within China’s Yangtze River Economic Belt, considering temporal spatial dimensions, analysis reveals “W”-shaped trajectory from 2006 2022, characterized by pronounced disparities. Particularly downstream coastal regions notably Delta, advantages social economic structures, along with public fiscal outlays, contribute superior exhibiting notable spillover effect. The introduces six factors—social benefit, population dispersion, density areas, urbanization scale, sustainability—to examine influence on uncovering substantial differences outcomes decomposition. Temporal decomposition indicates that benefit scale are primary drivers enhancing whereas dispersion identified as inhibitor. Spatial determinants above-average vary regionally undergo dynamic shifts over time. Overall, holistic understanding interplay among growth, preservation, enhancement residents’ can inform execution tailored policies local governments.

Language: Английский

Citations

1

The impact of land acquisition for cooperative housing development on the land environment in Woldia Town, Ethiopia DOI Creative Commons
Nibret Sefiw, Arragaw Alemayehu,

Belaynesh Kebede

et al.

Environmental Challenges, Journal Year: 2024, Volume and Issue: 17, P. 101006 - 101006

Published: Sept. 6, 2024

Language: Английский

Citations

1

Assessing Spatiotemporal Dynamics of Habitat Quality under Urbanization Stress in Guangdong Province: An inVEST-MGWR Analytical Approach DOI Open Access

Wenkun Wu,

Yinbo Li,

Mengze Yin

et al.

Published: Jan. 1, 2024

Amid Guangdong Province's swift urban growth, our research delves into the habitat quality's spatiotemporal trends and underlying factors over 2000-2018 period, employing InVEST model MGWR, grounded on comprehensive land-use data. Results indicate a relatively constant quality

Language: Английский

Citations

0