A Cropland Disturbance Monitoring Method Based on Probabilistic Trajectories DOI Creative Commons
Jiawei Jiang, Juanle Wang, Keming Yang

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(21), P. 4048 - 4048

Published: Oct. 30, 2024

Acquiring the spatiotemporal patterns of cropland disturbance is great significance for regional sustainable agricultural development and environmental protection. However, effective monitoring disturbances remains a challenge owing to complexity terrain landscape reliability training samples. This study integrated automatic sample generation, random forest classification, LandTrendr time-series segmentation algorithm propose an efficient reliable medium-resolution scheme. Taking Amur state Russia in river basin, transboundary region between China east Asia with rich agriculture resources as research area, this approach was conducted on Google Earth Engine cloud-computing platform using extensive remote-sensing image data. A high-confidence dataset then created classification applied generate probabilities. performed interannual Finally, identification, spatial mapping, analysis were completed. Further cross-validation comparisons accuracy assessment distribution details demonstrated high dataset, results indicated applicability method. The revealed that 2815.52 km2 disturbed 1990 2021, primarily focusing southern edge state. most significant occurred 1991, affecting 1431.48 accounting 50.84% total area. On average, 87.98 croplands are annually. Additionally, 2495.4 identified having been at least once during past 32 years, representing 83% introduced novel identifying information from long probabilistic images. methodology can also be extended monitor temporal dynamics other land caused by natural human activities.

Language: Английский

Reassessing the ecological effectiveness of ecological restoration programs: Evidence from a quasi-natural experiment in China DOI
Yuanjie Deng, Xiaohan Yan, Mengyang Hou

et al.

Ecological Engineering, Journal Year: 2025, Volume and Issue: 212, P. 107506 - 107506

Published: Jan. 1, 2025

Language: Английский

Citations

3
Trajectories of Terrestrial Vegetation Productivity and Its Driving Factors in China's Drylands DOI Creative Commons
Haixing Gong, Guoyin Wang, Xiaoyan Wang

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(20)

Published: Oct. 13, 2024

Abstract Climate change and large‐scale ecological restoration programs have profoundly influenced vegetation greening gross primary productivity (GPP) in China's drylands. However, the specific pathways through which climatic factors influence GPP remain poorly understood. This study examines spatiotemporal changes across drylands from 2001 to 2020 investigates direct indirect effects of leaf area index (LAI) on GPP. The results reveal that overall improvement cover has positively increased these regions. Although are minimal, they exert a substantial effect by regulating growth, highlighting LAI is key intermediary mediating Furthermore, complex interactions vary significantly along aridity gradient. emphasizes necessity comprehensively considering intricate among multiple climate factors.

Language: Английский

Citations

7
Dynamic monitoring and drivers of ecological environmental quality in the Three-North region, China: Insights based on remote sensing ecological index DOI Creative Commons

Leyi Zhang,

Li Xia, Xiuhua Liu

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102936 - 102936

Published: Dec. 1, 2024

Language: Английский

Citations

5
Identifying the short-duration and long-duration types of summer soil moisture drought on the Loess plateau and their teleconnections DOI

Jialan Hu,

Shuangshuang Li, Xianfeng Liu

et al.

Atmospheric Research, Journal Year: 2025, Volume and Issue: unknown, P. 107915 - 107915

Published: Jan. 1, 2025

Language: Английский

Citations

0
How Do Changes in Grassland Phenology and Its Responses to Extreme Climatic Events in Central Asia? DOI Creative Commons
Xinwei Wang, Jianhao Li,

Jianghua Zheng

et al.

Land, Journal Year: 2025, Volume and Issue: 14(1), P. 160 - 160

Published: Jan. 14, 2025

Extreme climate events have become more frequent under global warming, significantly affecting vegetation phenology and carbon cycles in Central Asia. However, the mediating effects of intensity compound drought heat (CDHEs) moisture (CMHEs) on grassland their trends relative contributions to over time remained unclear. Based calculation results (CEs), this study used trend analysis, partial least squares regression structural equation modeling (PLS-SEM), ridge analysis investigate effect temporal contribution CEs Asia, magnitude sensitivity CEs. This revealed that start season (SOS) was advanced by 0.4 d·a−1, end (EOS) delayed 0.5 length (LOS) extended 0.8 d·a−1 1982–2022. The duration CDHEs (0−37 days) greater than CMHEs (0−9 direct were generally negative, except for positive LOS. indirect temperature precipitation through phenology. consistently CMHEs, both curves showed a significant upward trend. higher its at 0.79 (SOS), 1.18 (EOS), 0.72 (LOS). Our emphasize Under influence LOS will further lengthen future.

Language: Английский

Citations

0
Ecosystem water use efficiency and carbon use efficiency respond oppositely to vegetation greening in China's Loess Plateau DOI
Yue Wang, Guangyao Gao, Yanzhang Huang

et al.

The Science of The Total Environment, Journal Year: 2025, Volume and Issue: 964, P. 178575 - 178575

Published: Jan. 22, 2025

Language: Английский

Citations

0
Intervention Effects of Different Forest Management Measures on Forest Degradation/Improvement in Northeast Asia DOI
Chengyuan Wang, Yuan Liu, Hongpeng Liu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Ecosystem Service Trade-Offs and Synergies in a Temperate Agricultural Region in Northeast China DOI Creative Commons
Yuhong Li, Yu Cong, Zhang Jin

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 852 - 852

Published: Feb. 28, 2025

Ecosystem services (ESs) are essential for balancing environmental sustainability and socio-economic development. However, the of ESs their relationships increasingly threatened by global climate change intensifying human activities, particularly in ecologically sensitive agriculturally-intensive regions. The Songnen Plain, a crucial agricultural region Northeast China, faces considerable challenges sustaining its due to overexploitation land, degradation, variability. This study assessed five key Plain from 2000 2020 across multiple scales: habitat quality (HQ), soil conservation (SC), water yield (WY), food production (FP), windbreaking sand fixing (WS). We evaluated trade-offs synergies between these ESs, as well driving factors main ES trade-offs. Our findings indicate that provisioning (WY FP) regulating (SC WS) improved over time, with FP exhibiting most significant increase at 203.90%, while supporting (HQ) declined 32.61%. primary ecosystem service multifunctionality areas were those provided FP, SC, WY, accounting 58% total. varied spatial scales, stronger being observed pixel scale more pronounced county scale. Climate factors, precipitation temperature, played role shaping than anthropogenic factors. provides valuable insights into restoration sustainable management temperate regions, implications protection northeastern black safeguarding national security.

Language: Английский

Citations

0
Higher Fractional Vegetation Cover is More Susceptible To Drought in Mu Us Desert, P.R. China DOI
Lin Miao, Chengfu Zhang, Bo Wu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0
Phenology-Optimized Drought Index Reveals the Spatio-Temporal Patterns of Vegetation Health and Its Attribution on the Loess Plateau DOI Creative Commons

Zichen Yue,

Shaobo Zhong, Wenhui Wang

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 891 - 891

Published: March 3, 2025

Frequent droughts pose a severe threat to the ecological health and sustainable development of Loess Plateau (LP). The accurate assessment impact drought on vegetation is crucial for diagnosing health. Traditional methods often rely coarse estimations based averages indices, overlooking spatial differentiation complex phenology. This study proposes vegetative method that considers phenological characteristics using MODIS EVI LST data products. First, start end growing season timepoints were extracted from Enhanced Vegetation Index (EVI) Savitzky–Golay (S–G) filtering dynamic threshold method, determining growing-time window each pixel. Next, Health (VHI) series was calculated pixel within season. mean value VHI then used construct Growing Season (GSHI). Based GSHI, long-term at LP revealed. Finally, we integrated Optimal Parameters-based Geographical Detector (OPGD) identify quantify multiple driving forces drought. results showed that: (1) spatio-temporal difference phenology significant, exhibiting distinct zonal characteristics; (2) distribution presented “humid southeast, arid northwest” pattern, with early 21st century being period high occurrence; (3) has been alleviated in large-scale natural areas, but local effect under urbanization intensifying; (4) meteorology topography influence by regulating water redistribution, while human activities intensifying.

Language: Английский

Citations

0