Ecological analysis and multi-scenario simulation of Yellow River Delta wetland under clearing of Spartina alterniflora DOI Creative Commons
Zhiyong Wang, Zhenjin Li, Xiaotong Liu

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 56, P. e03287 - e03287

Published: Nov. 6, 2024

Language: Английский

Analysis of Cultivated Land Productivity in Southern China: Stability and Drivers DOI Creative Commons
Zhihong Yu, Yingcong Ye, Yefeng Jiang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 708 - 708

Published: March 26, 2025

Owing to climate change and increasing resource competition, elucidating the control mechanism of cultivated land productivity stability is essential. Previous research has focused on anthropogenic or climatic factors individually, overlooking their combined effects; therefore, “climate–anthropogenic” framework was constructed. Net primary (NPP) employed measure investigate impact in Poyang Lake from 2001 2022. Results revealed that NPP increased but fluctuated significantly higher southern than north. The low spatial distribution fluctuation area concentrated periphery Lake, riverbank comprised middle high areas, Ganjiang River Delta exhibited fluctuation. Multiple linear regression analysis indicated positively impacted by farmland river proximity average patch fractal dimension affected negatively annual precipitation. Stable production improved utilization efficiency requires irrigation drainage system optimization adaptability change. Moreover, fragmentation should be reduced, resilience external disturbances enhanced.

Language: Английский

Citations

0

Anthropogenic activities accelerate LULC conversion and only a sustainable development scenario is optimal for agro-pastoral ecotone development DOI Creative Commons
Jing Jin,

Zilong Liao,

Tiejun Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: April 23, 2025

Despite the ecological and socioeconomic importance of agro-pastoral ecotones, changes in land use cover (LULC) their driving mechanisms are not comprehensively understood. In this study, a systematic framework for LULC assessment covering comprehensive timeframes was constructed Tabu watershed. Results demonstrated that new process began 1998, with significant increase farmland decrease grassland. The dynamic degrees structural variation coefficients indicated intensive frequent LULC. Conversion ratios between grassland exceeded 95%, construction encroached upon Grassland were driven mainly by natural factors based on random forest regression, as well land. influence anthropogenic drivers became significant. Under sustainable development scenario, high fractional vegetation 2034 most significant, area bare decreased, steadily increased, reduction under control. both ecosystem stability can be achieved. This study provides insights into regional dynamics guidance management.

Language: Английский

Citations

0

Research on ecosystem service value and landscape ecological risk prediction and zoning: Taking Fujian province as an example DOI
Handong Wang,

Yun Wu,

Yao Zhang

et al.

Ecological Modelling, Journal Year: 2025, Volume and Issue: 507, P. 111173 - 111173

Published: May 20, 2025

Language: Английский

Citations

0

Longitudinal path analysis of ecosystem water yield effects and its driving forces in the upper Yangtze River basin DOI Creative Commons
Hongxiang Wang, Jiaqi Lan, Lintong Huang

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 172, P. 113273 - 113273

Published: Feb. 22, 2025

Language: Английский

Citations

0

Mining activities drive the temporal and spatial changes of ecosystem carbon storage in coal resource-based city with high groundwater table DOI
Xiangyu Min,

Bingzi Zhang,

Yongsheng Wang

et al.

Habitat International, Journal Year: 2025, Volume and Issue: 161, P. 103420 - 103420

Published: April 26, 2025

Language: Английский

Citations

0

Analysis of Driving Factors of Cropland Productivity in Northeast China Using OPGD-SHAP Framework DOI Creative Commons

Runzhao Gao,

Hongyan Cai, Xinliang Xu

et al.

Land, Journal Year: 2025, Volume and Issue: 14(5), P. 1010 - 1010

Published: May 7, 2025

In the context of climate change and ecological degradation, enhancing cropland productivity in Northeast China is essential for ensuring national food security. This study adopted an integrated framework combining optimal parameter-based geographical detector (OPGD) SHapley Additive exPlanations (SHAP) to identify key drivers average total at county level from 2001 2020. Growing-season-based Net Primary Productivity (NPP) was estimated using CASA model represent productivity. Results indicated that natural factors significantly dominated spatial variation productivity, with their interactions amplified through dual-factor or nonlinear enhancements. Various machine learning models were fine-tuned compared, selected subsequent SHAP analysis. The findings revealed erosion intensity exhibited most significant impact on whereas effect precipitation shifted negative positive, a clear threshold around 400 mm—matching boundary between China’s semi-arid semi-humid regions. Low-elevation plains (<300 m) gentle slopes (<0.5°) predominately promoted Interactions fertilizer highlighted need moderate fertilization prevent degradation severely eroded counties. These provide scientific support targeted management aimed achieving sustainable agriculture China.

Language: Английский

Citations

0

Dynamic Spatio-Temporal Simulation of Land Use and Ecosystem Service Value Assessment in Agro-Pastoral Ecotone, China DOI Open Access
Longlong Liu,

Shengwang Bao,

Maochun Han

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5922 - 5922

Published: July 11, 2024

In the past, during development processes, major ecological and environmental problems have occurred in agro-pastoral ecotone of China, which had a strong impact on regional sustainable development. As such, analyzing evolution ecosystem service value (ESV) predicting futural spatio-temporal under different scenarios will provide scientific basis for further This research analyzed land use cover change (LUCC) from 2000 to 2020, adopted Mark-PLUS model construct (prioritizing grassland development, PDG; prioritizing cropland PCD; business as usual, BAU), simulated future LUCC. The driving factors influencing each type were revealed using PLUS model. Based LUCC data, distribution ESV was calculated via equivalent factor method, including four primary services (supply service, adjustment support cultural service) eleven secondary (water resource supply, maintaining nutrient circulation, raw material production, aesthetic landscape, food purification, soil conservation, biodiversity, gas regulation, climate hydrologic regulation). results showed that total increased first then declined reaching highest CNY 8207.99 million 2005. scenarios, shows trend PGD (CNY 8338.79 million) > BAU 8194.82 PCD 8131.10 million). global Moran index also follows this distribution. Additionally, precipitation (18%), NDVI (16%), DEM (16%) are most important spatial agglomeration characteristics Moran’s local indicators auto-correlation, show high coordination degree between high–high cluster areas water areas. These point out key points next step restoration projects help with achieving goals more effectively.

Language: Английский

Citations

2

Multi-Scenario Simulation of Land Use and Assessment of Carbon Stocks in Terrestrial Ecosystems Based on SD-PLUS-InVEST Coupled Modeling in Nanjing City DOI Open Access

Qingyun Xu,

Kongqing Li

Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1824 - 1824

Published: Oct. 18, 2024

In the context of achieving goal carbon neutrality, exploring changes in land demand and ecological stocks under future scenarios at urban level is important for optimizing regional ecosystem services developing a land-use structure consistent with sustainable development strategies. We propose framework coupled system dynamics (SD) model, patch generation simulation (PLUS) integrated valuation trade-offs (InVEST) model to dynamically simulate spatial temporal use land-cover change (LUCC) NDS (natural scenario), EPS (ecological protection RES (rapid expansion HDS (high-quality scenario) Nanjing from 2020 2040. From 2005 2020, rate construction reached 50.76%, large amount shifted land, stock declined dramatically. Compared increased by 2.4 × 106 t 1.5 t, respectively, sizable effect. It has been calculated that forest cultivated are two largest pools Nanjing, conservation both decisive stock. necessary focus on enhancing ecosystems while designating differentiated sink enhancement plans based characteristics other types. Fully realizing potential each functional area will help achieve its neutrality goal. The results study not only reveal challenges but also provide useful guidance terrestrial formulating planning line

Language: Английский

Citations

2

Quantitative Analysis of Human Activities and Climatic Change in Grassland Ecosystems in the Qinghai–Tibet Plateau DOI Creative Commons
Yunmin Chen, Liusheng Han,

Tian Xia

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(21), P. 4054 - 4054

Published: Oct. 31, 2024

Net primary production (NPP) serves as a critical proxy for monitoring changes in the global capacity vegetation carbon sequestration. The assessment of factors (i.e., human activities and climate changes) influencing NPP is great value study terrestrial systems. To investigate influence on grassland NPP, ecologically vulnerable Qinghai–Tibet Plateau region was considered an appropriate area period from 2000 to 2020. We innovated use RICI index quantitatively represent analyzed effects climatic using geographical detector. In addition, future predicted through integration two modeling approaches: Patch-Generating Land Use Simulation (PLUS) model Carnegie–Ames–Stanford Approach (CASA) model. revealed that expanded contributed 7.55 × 104 Gg C (Gg = 109 g) total whereas deterioration resulted decline 1.06 105 C. factor identified dominant restoration, representing 70.85% well degradation, 92.54% NPP. By subdividing change activity into sub-factors detecting them with detector, results show anthropogenic have significant ability explain geographic variation considerable extent, effect greater when interact. q-values Relative Impact Contribution Index (RICI) land are consistently than 0.6, management practices evapotranspiration remaining at approximately 0.5. analysis interaction between reveals average impact 0.8. 2030, natural development scenario, economic scenario (ED), ecological protection (EP) decreasing trend due change, factor, causing decrease. Human play role improvement. EP indicates positive expansion growth rate forests, water, wetlands, while ED rapid urbanization. It notable this accompanied by temporary suspension urban greening.

Language: Английский

Citations

1

Ecological analysis and multi-scenario simulation of Yellow River Delta wetland under clearing of Spartina alterniflora DOI Creative Commons
Zhiyong Wang, Zhenjin Li, Xiaotong Liu

et al.

Global Ecology and Conservation, Journal Year: 2024, Volume and Issue: 56, P. e03287 - e03287

Published: Nov. 6, 2024

Language: Английский

Citations

1