The Effects of Precipitation Event Characteristics and Afforestation on the Greening in Arid Grasslands, China DOI Creative Commons
Xuan Guo, Qun Guo, Zhongmin Hu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(18), P. 4621 - 4621

Published: Sept. 20, 2023

Global greening and its relationship with climate change remain the hot topics in recent years, are of critical importance for understanding interactions between terrestrial ecosystem carbon cycle system. China, especially north has contributed a lot to global during past few decades. As water-limited ecosystem, human activities, not precipitation amount, were thought as main contributor China. Considering event characteristics (PEC) altered regimes, we integrated long-term normalized difference vegetation index (NDVI) meteorological datasets reveal role PECs, on growth across temperate grasslands Accompanied significantly decreased growing season (GSP), NDVI increased largest area 1982–2015, i.e., greening. We found that 28.44% was explained by including more heavy or extreme events, alleviated drought, fewer light while only 0.92% associated GSP. did always increase over 30 years there decrease 1996–2005. Taking afforestation projects desertified lands into account, precipitation, mainly decline 1982–1995 1996–2005, respectively, an equivalent explanatory power after 2005. Our study indicates possible higher productivity under future regime scenario (e.g., but larger events) intensive activity, implying sequestration livestock production steppe future.

Language: Английский

Temporal dynamics of leaf area index and land surface temperature correlation using Sentinel-2 and Landsat OLI data DOI Creative Commons
Ali Yasin Ahmed, Abebe Mohammed Ali, Nurhussen Ahmed

et al.

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2024, Volume and Issue: 13(1)

Published: Sept. 28, 2024

Language: Английский

Citations

4
Wildfire assessment using machine learning algorithms in different regions DOI Creative Commons
Sanaz Moghim, M. Mehrabi

Fire Ecology, Journal Year: 2024, Volume and Issue: 20(1)

Published: Dec. 3, 2024

Abstract Background Climate change and human activities are two main forces that affect the intensity, duration, frequency of wildfires, which can lead to risks hazards ecosystems. This study uses machine learning (ML) as an effective tool for predicting wildfires using historical data influential variables. The performance algorithms, including logistic regression (LR) random forest (RF), construct wildfire susceptibility maps is evaluated in regions with different physical features (Okanogan region US Jamésie Canada). models’ inputs eleven physically related variables output probabilities. Results indicate most important both areas land cover, temperature, wind, elevation, precipitation, normalized vegetation difference index. In addition, results reveal models have temporal spatial generalization capability predict annual probability at times locations. Generally, RF outperforms LR model almost all cases. outputs provide levels severity (from very high low). highlight more vulnerable fire. developed analysis valuable emergency planners decision-makers identifying critical implementing preventive action ecological conservation.

Language: Английский

Citations

4
Groundwater leakage of an endorheic basin with extensive permafrost coverage in the western Mongolian Plateau DOI
Shun Hu, Chenyi Hu,

Keyu Meng

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133175 - 133175

Published: March 1, 2025

Language: Английский

Citations

0
Spatiotemporal variability of near-surface CO2 and its affecting factors over Mongolia DOI Creative Commons

Terigelehu Te,

Hasi Bagan,

Meihui Che

et al.

Environmental Research, Journal Year: 2023, Volume and Issue: 236, P. 116796 - 116796

Published: July 29, 2023

We investigate the spatiotemporal variability of near-surface CO2 concentrations in Mongolia from 2010 to 2019 and factors affecting it over four climate zones based on Köppen-Geiger classification system, including arid desert (BWh), steppe (BSk), dry (Dw), polar frost (ET). Initially, we validate datasets obtained Greenhouse Gases Observing Satellite (GOSAT) using ground-based observations World Data Center for (WDCGG) found good agreement. The results showed that steadily increased 389.48 ppmv 409.72 2019, with an annual growth rate 2.24 ppmv/year. Spatially, southeastern Gobi region has highest average concentration, while northwestern Alpine Meadow exhibits most significant rate. Additionally, monthly seasonal variations were observed each zone, levels decreasing a minimum summer reaching maximum spring. Furthermore, our findings revealed negative correlation between vegetation parameters (NDVI, GPP, LAI) during when photosynthesis is at its peak, positive was spring autumn capacity carbon sequestration lower. Understanding different uptake may help improve estimates ecosystems such as deserts, steppes forests.

Language: Английский

Citations

6
Magnitude and direction of green-up date in response to drought depend on background climate over Mongolian grassland DOI
Wenrui Bai, Huanjiong Wang,

Shaozhi Lin

et al.

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 902, P. 166051 - 166051

Published: Aug. 3, 2023

Language: Английский

Citations

6
Exploring the Potential of Soil and Water Conservation Measures for Climate Resilience in Burkina Faso DOI Open Access

Carine Naba,

Hiroshi Ishidaira,

Jun Magome

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(18), P. 7995 - 7995

Published: Sept. 12, 2024

Sahelian countries including Burkina Faso face multiple challenges related to climatic conditions. Setting up effective disaster management plans is essential for protecting livelihoods and promoting sustainable development. Soil water conservation measures (SWCMs) are emerging as key components of such plans, particularly in Faso. However, there an insufficiency studies exploring their potential green infrastructures the context this research aims contribute filling gap. We used national data, remote sensing, GIS tools assess SWCM adoption climate resilience. Stone ribbons emerged most widely adopted SWCM, covering 2322.4 km2 especially northern regions, while filtering dikes were least adopted, at 126.4 km2. Twenty years NDVI analysis showed a notable vegetation increase Yatenga (0.075), Oudalan (0.073), provinces with high prevalence practices. There was also apparent percentages from 60% land degradation. could have led runoff reduction 13.4% Bam province, highlighting effectiveness resilience flood risk mitigation. Overall, encouraging SWCMs offers approach mitigating climate-related hazards

Language: Английский

Citations

1
Diverse Responses of Vegetation Greenness and Productivity to Land Use and Climate Change: A Comparison of Three Urban Agglomerations in China DOI Open Access

Fei Xue,

Yi’na Hu

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 5900 - 5900

Published: July 11, 2024

Vegetation plays a crucial role in enhancing residents’ quality of life, especially densely populated urban areas. However, previous research has rarely explored the inconsistency between vegetation greenness and productivity or its potential factors, leaving reasons for their unclear. Taking three largest agglomerations China as study areas, this examined (LAI) (GPP) after detecting dynamics based on Mann–Kendall test. Then, impact land use change observed was by contrasting variations regions with without changes. The effect climate evaluated Spearman correlation method at pixel level. results showed that both exhibited rising trend from 2001 to 2020. Notably, an obvious existed productivity. Regions consistent accounted 69.87% Beijing–Tianjin–Hebei (BTH), while only 45.65% 42.93% Pearl River Delta (PRD) Yangtze (YRD), respectively. Land exerted divergent impacts across these agglomerations. conversion croplands grasslands construction lands had more severe negative than all regions. transition led general decline YRD PRD, whereas BTH, declined paradoxically increased. As climatic responses rainfall solar radiation spatial heterogeneity among In they positive radiation, correlations were reversed. Our comparative analysis provided insights into well reasons, offering fresh perspective regional research.

Language: Английский

Citations

1
Research Trends and Areas of Focus on Wind Erosion: A Bibliometric Analysis during 1941-2022 DOI Open Access
Liangang Xiao, Zengtao You, Tianhao Liu

et al.

Polish Journal of Environmental Studies, Journal Year: 2024, Volume and Issue: 33(3), P. 2421 - 2443

Published: Feb. 6, 2024

Wind erosion represents an important form of soil degradation in arid and semi-arid regions.However, it currently lacks a comprehensive evaluation on wind research, which may limit our understanding the history, evolution, development this critical topic.we extensively analyzed literature published from 1941 to 2022 using Web Science (WOS) core collection bibliometric analyses.We found that larger-scale studies tended have higher citation rates.As research progressed, study be gradually diversified refined, no longer limited single-factor analysis.Dust was indispensable indicator, whereas climate change essential condition could not ignored.Modelling play role extensive attention must paid multiple factors ecological systems future investigation erosion.Moreover, major areas also constantly shifted.The fact China emerging as significant contributor particularly Loess Plateau Inner Mongolia.Overall, revealed evolution over past 80 years results are importance for gaining trends.

Language: Английский

Citations

0
Time-series analysis of Leaf Area Index and Land Surface Temperature Association using Sentinel-2 and Landsat OLI data DOI Creative Commons

Ali Yasin,

Abebe Mohammed Ali, Nurhussen Ahmed

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 9, 2024

Abstract Background: Understanding the complex relationship between vegetation dynamics and Land Surface Temperature (LST) is crucial for comprehending ecosystem functioning, climate change impacts, sustainable land management. Hence, this study conducts a time-series analysis of Leaf Area Index (LAI) LST derived from Sentinel-2 Landsat Operational Imager (OLI) data. LAI data was generated using imagery processed with SNAP toolbox, while OLI utilized precise calculations. Mann-Kendall test used to detect trends in time series Results: The were statistically significant at P-values 0.05 0.1 annual seasonal trends, respectively. mean insignificant throughout period except summer season P-value 0.07. correlation weak (R2 = 0.36) during crop-growing seasons, but moderate winter 0.46) autumn 0.41). Conclusion: findings research clarify relationships variations surface temperature growth patterns, providing insight into environmental mechanisms driving localized ecosystems. underscores implications these informed decision-making management, biodiversity conservation, mitigation strategies.

Language: Английский

Citations

0
The Effects of Precipitation Event Characteristics and Afforestation on the Greening in Arid Grasslands, China DOI Creative Commons
Xuan Guo, Qun Guo, Zhongmin Hu

et al.

Remote Sensing, Journal Year: 2023, Volume and Issue: 15(18), P. 4621 - 4621

Published: Sept. 20, 2023

Global greening and its relationship with climate change remain the hot topics in recent years, are of critical importance for understanding interactions between terrestrial ecosystem carbon cycle system. China, especially north has contributed a lot to global during past few decades. As water-limited ecosystem, human activities, not precipitation amount, were thought as main contributor China. Considering event characteristics (PEC) altered regimes, we integrated long-term normalized difference vegetation index (NDVI) meteorological datasets reveal role PECs, on growth across temperate grasslands Accompanied significantly decreased growing season (GSP), NDVI increased largest area 1982–2015, i.e., greening. We found that 28.44% was explained by including more heavy or extreme events, alleviated drought, fewer light while only 0.92% associated GSP. did always increase over 30 years there decrease 1996–2005. Taking afforestation projects desertified lands into account, precipitation, mainly decline 1982–1995 1996–2005, respectively, an equivalent explanatory power after 2005. Our study indicates possible higher productivity under future regime scenario (e.g., but larger events) intensive activity, implying sequestration livestock production steppe future.

Language: Английский

Citations

1