Ecological Restoration and Zonal Management of Degraded Grassland Based on Cost–Benefit Analysis: A Case Study in Qinghai, China DOI Open Access
Ziyao Wang, Feng Li, Donglin Xie

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(24), P. 11123 - 11123

Published: Dec. 18, 2024

The Qinghai–Tibetan Plateau (QTP) has the largest area of natural grassland in China, and continuous degradation poses a serious threat to regional ecological security sustainable resource management. It is essential comprehensively evaluate cost–benefit differences drivers across various zones enhance management practices. This study presents zonal framework for restoration degraded grasslands based on analysis, specifically applied Qinghai Northeastern QTP. results indicate: (1) Although overall NDVI shows an upward trend, some areas still exhibit significant degradation. (2) Cost–benefit analysis can divide into four types Ecological Management Zones (EMZs): high-cost–high-benefit zone, high-cost–low-benefit low-cost–low-benefit low-cost–high-benefit zone. (3) driving factors show different EMZs. Based these research findings, differentiated spatial planning strategies were developed each EMZ. not only provides scientific methodology but also offers important insights resources QTP other ecologically sensitive areas.

Language: Английский

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
Central Asia’s desertification challenge: Recent trends and drives explored with Google Earth Engine DOI
Shuang Zhao, Jianli Ding,

Jinjie Wang

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 460, P. 142595 - 142595

Published: May 17, 2024

Language: Английский

Citations

2
Achieving land degradation neutrality: land-use planning and ecosystem approach DOI Creative Commons
Pavlo Saik, Іryna Kоshkalda,

Liudmyla Bezuhla

et al.

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

Published: Oct. 29, 2024

Introduction The research purpose is to scientifically substantiate an integrated approach solving the problem of land degradation, based on idea degradation neutrality (LDN), taking into account ecosystem services when planning use maximize conservation natural capital. methodological basis provisions and principles concepts sustainable development, achieving LDN, services, as well results revealing various aspects use, particularly their degradation. Methods following methods are used in paper: dialectical – determine cause-and-effect conditions degradation; analysis highlight current state Ukraine factors that have led synthesis for global trends towards LDN; deduction explore possibility introducing experience LDN Ukraine; structural-functional feasibility land-use achieve LDN. Results As a result research, has been analyzed, ways through prism substantiated. Based statistical data, potential levels arability territory calculated by natural-climatic zones, areas eroded arable lands determined erodibility factor (low-eroded, mediumeroded,and highly-eroded). Discussion For first time, structural-logical scheme developed organizational-economic support effective degraded low-productive agricultural context implementing which tool rational allocation lands. This can serve development strategies territorial communities, institutions, organizations competent field management.

Language: Английский

Citations

2
Challenges for sustainable development goal of land degradation neutrality in drylands: Evidence from the Northern Slope of the Tianshan Mountains, China DOI
Haochen Yu, Dengyu Yin, Bin Yang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 932, P. 173094 - 173094

Published: May 8, 2024

Language: Английский

Citations

1
Spatio-Temporal Land-Use/Cover Change Dynamics Using Spatiotemporal Data Fusion Model and Google Earth Engine in Jilin Province, China DOI Creative Commons

Zhuxin Liu,

Yang Han, Ruifei Zhu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(7), P. 924 - 924

Published: June 25, 2024

Jilin Province is located in the northeast of China, and has fragile ecosystems, a vulnerable environment. Large-scale, long time series, high-precision land-use/cover change (LU/CC) data are important for spatial planning environmental protection areas with high surface heterogeneity. In this paper, based on temporal fusion Landsat MODIS Google Earth Engine (GEE), series LU/CC mapping spatio-temporal analysis period 2000–2023 were realized using random forest remote sensing image classification method, which integrates indices. The prediction results OL-STARFM method very close to real images better contained information, allowing its application subsequent classification. average overall accuracy kappa coefficient products obtained fused index 95.11% 0.9394, respectively. During study period, area cultivated land unused decreased as whole. grassland, forest, water fluctuated, while building increased 13,442.27 km2 2023. terms transfer, was most source transfers, total share from 42.98% 38.39%. Cultivated mainly transferred land, transfer 7682.48 km2, 8374.11 7244.52 Grassland largest into among other feature types relatively small, at less than 3300 km2. This provides support scientific management resources Province, resulting dataset great significance regional sustainable development.

Language: Английский

Citations

1
Boundary migration between zonal vegetation types in Inner Mongolia over the past two decades DOI
Haoxin Li, Jingpeng Guo,

Yadong Wang

et al.

CATENA, Journal Year: 2024, Volume and Issue: 246, P. 108354 - 108354

Published: Sept. 6, 2024

Language: Английский

Citations

1
Predicting Fractional Shrub Cover in Heterogeneous Mediterranean Landscapes Using Machine Learning and Sentinel-2 Imagery DOI Open Access
El Khalil Cherif,

R. E. Lucas,

Taha Ait Tchakoucht

et al.

Forests, Journal Year: 2024, Volume and Issue: 15(10), P. 1739 - 1739

Published: Oct. 1, 2024

Wildfires pose a growing threat to Mediterranean ecosystems. This study employs advanced classification techniques for shrub fractional cover mapping from satellite imagery in fire-prone landscape Quinta da França (QF), Portugal. The area is characterized by fine-grained heterogeneous land and climate. In this type of landscape, encroachment after abandonment wildfires constitutes ecosystem resilience—in particular, increasing the susceptibility more frequent large fires. High-resolution is, therefore, an important contribution management fire prevention. Here, 20 cm resolution map was used label 10 m Sentinel-2 pixels according their percentage (three categories: 0%, >0%–50%, >50%) training testing. Three distinct algorithms, namely Support Vector Machine (SVM), Artificial Neural Networks (ANNs), Random Forest (RF), were tested purpose. RF excelled, achieving highest precision (82%–88%), recall (77%–92%), F1 score (83%–88%) across all categories (test validation sets) compared SVM ANN, demonstrating its superior ability accurately predict cover. Analysis confusion matrices revealed RF’s (higher true positives) with fewer misclassifications (lower false positives negatives). McNemar’s test indicated statistically significant differences (p value < 0.05) between models, consolidating dominance. development maps derived products anticipated leverage key information support management, such as assessment hazard effective planning preventive actions.

Language: Английский

Citations

1
Effects of alpine meadow degradation on the soil physical and chemical properties in Maqu, China DOI Creative Commons

Kecun Zhang,

Jing Pan, Zhishan An

et al.

Research in Cold and Arid Regions, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 1, 2024

Language: Английский

Citations

1
A 20-Year Analysis of the Dynamics and Driving Factors of Grassland Desertification in Xilingol, China DOI Creative Commons
Jingbo Li, Chunxiang Cao, Min Xu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(24), P. 5716 - 5716

Published: Dec. 13, 2023

Grassland desertification stands as an ecological concern globally. It is crucial for prevention and control to comprehend the variation in area severity of desertified grassland (DGL), clarify intensities conversion among DGLs different levels, explore spatial temporal driving factors desertification. In this study, a Desertification Difference Index (DDI) model was constructed based on albedo-EVI extract information. Subsequently, intensity analysis, Geo-detector model, correlation analysis were applied analyze dynamics The results showed following: (1) Spatially, DGL Xilingol exhibited zonal distribution. Temporally, degree decreased, with proportion severely moderately areas decreasing from 51.77% 2000 37.23% 2020, while nondesertified healthy increased 17.85% 37.40% 2020; (2) Transition levels more intense during 2000–2012, stabilizing 2012–2020; (3) Meteorological soil conditions primarily drive distribution DDI, evapotranspiration exhibiting most significant influence (q-value 0.83), human activities dominate interannual DDI variations. This study provides insights into patterns divergent forces shaping both dimensions Xilingol.

Language: Английский

Citations

2
Research on Sustainable Land Use in Alpine Meadow Region Based on Coupled Coordination Degree Model—From Production–Living–Ecology Perspective DOI Open Access
Tianjiao Zhang, Cuifang Zhang, Qian Wang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(12), P. 5213 - 5213

Published: June 19, 2024

Changes in land use types alpine meadow areas have significant impacts on the ecological environment areas. Exploring change is crucial for management and optimization regions. Thus, it necessary to analyze evolution its drivers regions from a production–living–ecology space (PLES) perspective by using remote sensing data. We first constructed PLES evaluation system Gannan. Then, we analyzed spatial temporal characteristics coupling degree of study area. Finally, driving factors affecting were explored with geodetector. The conclusions reveal that distribution productive spaces large concentrated, while living more decentralized. was mainly concentrated area above 2500 m but below 4000 slope 40° or less. During period, production showed decreasing trend, both increasing trends, primarily occurring at expense space. DEM GDP main PLES. level coordination relatively stable general, showing pattern “high east low west”. provides technical support theoretical basis future planning

Language: Английский

Citations

0