Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration DOI Open Access

Tingyu Sun,

Mingxia Ni,

Yinuo Yang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10453 - 10453

Published: Nov. 28, 2024

Over the past two decades, large-scale ecological restoration in Loess Plateau has significantly transformed land use and cover (LULC) Wuding River Basin (WRB), improving governance environmental conditions. This study examines spatiotemporal evolution of LULC its driving factors from 2000 to 2020, employing methods such as dynamic degree, transfer matrix, migration trajectory, geographical detector. Results show that (1) grassland dominates basin’s (78.16%), with decreases cropland desert areas, expansions grassland, forest, urban areas. Water bodies minimal fluctuations. The mean annual degree types (from highest lowest) is follows: forest > water grassland. overall fluctuated, initially decreasing (0.85%–0.68%), then increasing (0.68–0.89%), followed by another decline (0.89–0.30%). (2) patterns follow a northwest-to-southeast gradient, primary transitions secondary urban, bodies. Spatial mainly shifts westward northward. (3) Under single-factor influence, natural factors, especially slope (7.2–36.4%) precipitation (6.1–22.3%), are drivers changes, population density (7.9%) GDP (27.5%) influencing In interaction topography climate (40.5–66.1%) primarily drive increases cropland, while human activities (24.8–36.7%) influence area expansion. Desert reduction largely driven climatic (40.3%). between shows either bi-factorial or nonlinear enhancement effect, suggesting their combined offers stronger explanatory power than any single factor alone. highlights significant changes WRB, both activities, contributing enhanced sustainability.

Language: Английский

Land-use and habitat quality prediction in the Fen River Basin based on PLUS and InVEST models DOI Creative Commons

Yanjun Hou,

Juemei Wu

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: July 19, 2024

Assessment and prediction analyses of the ecological environmental quality river basins are pivotal to realize protection high-quality coordinated development. Methods: The PLUS InVEST models were used analyze spatiotemporal evolution characteristics land-use in Fen River Basin simulate spatial pattern under natural development (ND), (EC), economic (ED) scenarios 2030, as well evaluate habitat (HQ) its variation from 2000 2030. From 2020, consisted primarily cultivated land, followed by forests, then unused land. Habitat showed a downward trend 2020. Between 2010 rate decline decreased, HQ EC scenario exhibited improvement compared However, there was reduction obvious heterogeneity distribution, showing “low middle high edge”. land converted into construction grasslands, conversion forests dominated changes Basin.

Language: Английский

Citations

4
Spatiotemporal variability of nitrous oxide emissions from the river-estuary continuum of Yangtze River DOI

Hongwei Wang,

Anxing Lai,

Ke Xie

et al.

Inland Waters, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 31

Published: March 12, 2025

Language: Английский

Citations

0
Study on Urban Land Simulation under the Perspective of Local Climate Zoning—A Case Study of Guiyang City DOI Open Access

Yulong Shu,

Kai Lin,

Yafang Yu

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 8159 - 8159

Published: Sept. 19, 2024

The examination of land-use change simulations across a range scenarios represents pivotal research avenue for the advancement sustainable development analysis. Nevertheless, extant merely categorises all building land in classification into single category, which is unable to provide detailed analysis dynamic internal spatial form city. This paper analyses 17 LCZ types Guiyang City 2013 and 2022, reclassifies them 7 RLCZ based on height urban sites. It also proposes three possible BAU, WLC, SPC 2040 simulates their changes using PLUS model. results demonstrate that (1) size low-rise buildings has declined significantly over past decade; (2) built-up within cities affected by drivers such as night-time lighting, topography, elevation, roads; (3) scenario emphasises pattern intensification focus high density built space. protects stability ecosystem. can informative suggestions rapidly developing Guiyang.

Language: Английский

Citations

3
Exploring the impacts of land use and land cover change on ecosystem services in Dongting Lake, China: a spatial and temporal analysis DOI Creative Commons

Zhefu Chen,

Yang Liu,

Chen Duan-lv

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: June 17, 2024

Background and objectives: Land use land cover change (LULCC) directly affects the human living environment economic society by influencing ecosystem services. This study explores complex relationship between LULCC services in Dongting Lake region of China. Methods: The analysis incorporates transfer matrix LULCC, service value (ESV) accounting, Mann–Kendall mutation test, gray correlation, path analysis. explored spatial temporal characteristics revealed comprehensive impacts on from perspective factor interactions. Findings: findings reveal that open water (OW) area farmable are dominant types transferring out area, with significant interconversion observed among wetland (WL), arable (AL), forest (FL). Water conservation, waste disposal, climate regulation, biodiversity conservation emerge as most crucial area. identifies consistent patterns abrupt changes ESV across six analyzed time periods. Forest exhibits substantial direct influence gas exchange, soil formation protection, biodiversity, raw materials, recreation leisure. Additionally, land, wetland, contribute significantly to total ESV, being differentiation region. Conclusion: research reveals consistency trends is a process influenced multiple factors, which conversion ecological non-ecological has impact, coupling coordination drivers together Furthermore, alters structure scale ecosystems, resulting alterations ESV.

Language: Английский

Citations

2
Study on the characteristics and scenario simulation of land use change in the Chaohu Lake Basin, China DOI Creative Commons

Yunfeng Ruan,

Chunyu Jiao,

Yashu Duan

et al.

Environmental Research Communications, Journal Year: 2024, Volume and Issue: 6(9), P. 095011 - 095011

Published: Aug. 30, 2024

Abstract Effectively evaluating the historical and future land use/cover change (LUCC) is significant for effective use planning management, ecological conservation, restoration. Taking Chaohu Lake Basin (CLB) as study area, GIS technology geographic detector were used to quantitatively analyze characteristics driving factors of LUCC under three periods in 2000, 2010, 2020 CLB. This aimed comprehend alterations that have transpired over last two decades. In addition, PLUS model was utilized forecast trends scenarios: natural development, urban protection by 2030 The results suggest a decrease cultivated while considerable increase construction area from 2000 expansion mainly driven conversion area. Additionally, slope identified primary factor influencing LUCC, with q-values 0.275, 0.266, 0.258 2020, respectively. interaction between soil type, distance trunk road secondary road, GDP strong. explanatory capacity socioeconomic demonstrated steady increase. simulation indicate an still occurred CLB, particularly development scenario. Nonetheless, notable deceleration appeared forest grassland areas not significant. However, water bodies continued enlarge, although substantial. can provide policy references scientific management long-term strategic resources

Language: Английский

Citations

2
Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration DOI Open Access

Tingyu Sun,

Mingxia Ni,

Yinuo Yang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10453 - 10453

Published: Nov. 28, 2024

Over the past two decades, large-scale ecological restoration in Loess Plateau has significantly transformed land use and cover (LULC) Wuding River Basin (WRB), improving governance environmental conditions. This study examines spatiotemporal evolution of LULC its driving factors from 2000 to 2020, employing methods such as dynamic degree, transfer matrix, migration trajectory, geographical detector. Results show that (1) grassland dominates basin’s (78.16%), with decreases cropland desert areas, expansions grassland, forest, urban areas. Water bodies minimal fluctuations. The mean annual degree types (from highest lowest) is follows: forest > water grassland. overall fluctuated, initially decreasing (0.85%–0.68%), then increasing (0.68–0.89%), followed by another decline (0.89–0.30%). (2) patterns follow a northwest-to-southeast gradient, primary transitions secondary urban, bodies. Spatial mainly shifts westward northward. (3) Under single-factor influence, natural factors, especially slope (7.2–36.4%) precipitation (6.1–22.3%), are drivers changes, population density (7.9%) GDP (27.5%) influencing In interaction topography climate (40.5–66.1%) primarily drive increases cropland, while human activities (24.8–36.7%) influence area expansion. Desert reduction largely driven climatic (40.3%). between shows either bi-factorial or nonlinear enhancement effect, suggesting their combined offers stronger explanatory power than any single factor alone. highlights significant changes WRB, both activities, contributing enhanced sustainability.

Language: Английский

Citations

0