Dynamic changes and prediction of land-use patterns in a typical area for rocky desertification control DOI Creative Commons
Xuefeng Sang, Caili Sun, Zongzheng Chai

et al.

Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13

Published: March 13, 2025

Introduction Rocky desertification poses a significant ecological challenge globally, leading to ecosystem degradation and diminished land resources. Consequently, it causes substantial changes in land-use patterns, hindering regional sustainable development. Methods This research focuses on Bijie City, Guizhou Province, China, region severely affected by rocky desertification. Using use/cover data relevant driving-factor from 1990 2022, employing methods such as spatial pattern analysis, we comprehensively analyze land-use/cover change (LUCC) characteristics over time predict patterns under three scenarios for 2030. Results The key findings are: (1) City has diverse types. Cropland forest together comprise nearly 90% of the total area, exhibiting distinct distributions. (2) During control period (1990–2020), cropland, shrubland, grassland areas decreased, while area increased. Conversion these types was primary driver LUCC. Landscape fragmentation environment significantly improved. (3) Projections indicate that focusing solely governance (Scenario 1) or cultivated-land protection 2) is insufficient. Scenario 3, integrating protection, optimal. By 2030, cropland projected increase rationally 307.51 km2, with some forest, converting cropland. will be main feature future LUCC, safeguarding food security enhancing quality. Discussion In conclusion, efforts 2020 have profoundly impacted City’s patterns. Future must prioritize coordinated cultivated protection. study provides crucial theoretical support management planning, promoting harmonious economic

Language: Английский

Carbon storage simulation and analysis in Beijing-Tianjin-Hebei region based on CA-plus model under dual-carbon background DOI Creative Commons
Yang Yu, Bing Guo, Chenglong Wang

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2023, Volume and Issue: 14(1)

Published: Feb. 13, 2023

Previous studies on carbon storage simulation had ignored the difference of intensity among various vegetation types inner same land use. In this paper, The PLUS model was used to predict use change under multi-scenarios from 2030 2060, and type data were supplemented by CA obtain cover-vegetation datasets 2030-2060. Combined with density table type, future during 2030-2060 in Beijing-Tianjin-Hebei region analyzed. main conclusions as follows: (1) spatial distribution showed a pattern 'high northeast-southwest low southeast-northwest'; (2) 1990-2020 decreasing trend; (3) During 2030-2060, continuous trend absence policy intervention, while that ecological protection farmland scenarios an increasing (4) Under different development scenarios, there obvious significances distribution.

Language: Английский

Citations

48
A novel remote sensing monitoring index of salinization based on three-dimensional feature space model and its application in the Yellow River Delta of China DOI Creative Commons
Bing Guo,

Miao Lu,

Yewen Fan

et al.

Geomatics Natural Hazards and Risk, Journal Year: 2022, Volume and Issue: 14(1), P. 95 - 116

Published: Dec. 15, 2022

Previous studies were mostly conducted based on two-dimensional feature space to monitor salinization, while dense long-term salinization monitoring three-dimensional have not been reported. Based Landsat TM/ETM+/OLI images and method, this study introduced six typical surface parameters, including NDVI, salinity index, MSAVI, albedo, iron oxide wetness index construct eight different index. The optimal soil model was proposed base field observed data then the evolution process of in Yellow River Delta (YRD) analyzed revealed during 1984–2022. MSAVI-Albedo-IFe2O3 had highest accuracy with R2 = 0.93 RMSE 0.678g/kg. spatial distribution YRD showed an increasing trend from inland southwest coastal northeast intensity 1984–2022 due implements agricultural measures such as planting salt-tolerant crops, microbial remediation fertility improvement. rate deterioration part greater than others. Zones improvement mainly located cultivated land parts.

Language: Английский

Citations

49
A coastal wetlands mapping approach of Yellow River Delta with a hierarchical classification and optimal feature selection framework DOI
Huaqiao Xing, Jingge Niu,

Yongyu Feng

et al.

CATENA, Journal Year: 2023, Volume and Issue: 223, P. 106897 - 106897

Published: Jan. 3, 2023

Language: Английский

Citations

43
The salinization process and its response to the combined processes of climate change–human activity in the Yellow River Delta between 1984 and 2022 DOI
Bing Guo, Yifeng Liu, Junfu Fan

et al.

CATENA, Journal Year: 2023, Volume and Issue: 231, P. 107301 - 107301

Published: June 27, 2023

Language: Английский

Citations

40
Rocky desertification succession alters soil microbial communities and survival strategies in the karst context DOI
Wei Zheng, Qian Wu,

Xiaobin Guo

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 172171 - 172171

Published: April 3, 2024

Language: Английский

Citations

12
Superabsorbent quaternary ammonium guar gum hydrogel with controlled release of humic acid for soil improvement and plant growth DOI

Songdanyang Cui,

Pengfei Li, Ji Li

et al.

Carbohydrate Polymers, Journal Year: 2024, Volume and Issue: 337, P. 122188 - 122188

Published: April 21, 2024

Language: Английский

Citations

11
Spatiotemporal evolution of rocky desertification and soil erosion in karst area of Chongqing and its driving factors DOI

Shidie Chen,

Xingping Wei,

Yunli Cai

et al.

CATENA, Journal Year: 2024, Volume and Issue: 242, P. 108108 - 108108

Published: May 17, 2024

Language: Английский

Citations

9
Vegetation restoration enhancing soil carbon sequestration in karst rocky desertification ecosystems: A meta-analysis DOI
Wei Zheng,

Xiaobin Guo,

Ping Zhou

et al.

Journal of Environmental Management, Journal Year: 2024, Volume and Issue: 370, P. 122530 - 122530

Published: Sept. 17, 2024

Language: Английский

Citations

9
Spatio-temporal evolution of habitat quality and its influencing factors in karst areas based on the InVEST model DOI Creative Commons

Chao Ma,

Hua Yang, Yan Zhi

et al.

PLoS ONE, Journal Year: 2025, Volume and Issue: 20(3), P. e0314161 - e0314161

Published: March 13, 2025

The Critical Karst Zone provides rich natural resources and is an important habitat for the survival development of world’s human population. Meanwhile, urbanization processes have disrupted structure function ecosystems, endangering biodiversity habitats. However, existing studies few frequently explored combined effects environment activities on changes in quality. This article uses InVEST model GeoDetector method to analyze landscape patterns, spatiotemporal evolution quality, their driving factors karst areas. results show that: (i) From 1990 2020, forest, cropland, grassland fluctuated sharply, while building waters area showed exponential upward trend. overall fragmentation spatial heterogeneity are enhanced. (ii) quality index decreased from 0.7751 0.74085, showing downward shows a distribution pattern “high surrounding areas low central areas”, autocorrelation analysis that county-level units significant agglomeration effects. (iii) type enhancement dual factor or non-linear, which land use intensity population density main spatio-temporal In summary, adopting stringent ecological protection restoration initiatives aimed at minimizing activity safeguarding integrity regions imperative. Such measures contribute scientific underpinning decision-making regarding optimization regional composition enhance planning strategies.

Language: Английский

Citations

1
Change of the spatial and temporal pattern of ecological vulnerability: A case study on Cheng-Yu urban agglomeration, Southwest China DOI Creative Commons
Bohan Jiang, Wei Chen,

Xiaoai Dai

et al.

Ecological Indicators, Journal Year: 2023, Volume and Issue: 149, P. 110161 - 110161

Published: March 29, 2023

China's urban economy has developed rapidly over the decades, and Cheng-Yu agglomeration become one of four typical agglomerations, with a large population high level economic development. However, conflict between humans environment is becoming increasingly prominent together In order to protect ecological in areas, thus scientific understanding assessment vulnerability are beneficial establishing regional conservation measures, serve as key means maintain environmental health. Based on "Sensitivity-Resilience-Pressure" (SRP) model, this study considered remote sensing, geographic statistical data construct an evaluation system for vulnerability. addition, coupled AHP (Analytic hierarchy process)-Entropy weighting model was proposed obtain weight each indicator analyze spatio-temporal distribution characteristics area during 2000–2020. The changes divergence pattern were depicted by transfer matrix, dynamic degree spatial auto-correlation. results indicated that mainly mild moderate, overall Chongqing Chengdu, while low central north zone (e.g., Ziyang, Mianyang). It consistent HH (High-High) L-L (Low-Low) clusters, respectively, having significant positive correlation. particular, severely vulnerable increased from 7059 km2 2000 23553 2020, rate 233.66 %. Combining matrix degree, it found underwent rapid deterioration followed slow recovery. This provides reference policy making which serves sustainable

Language: Английский

Citations

23