Spatiotemporal Changes and Driving Factors of Land Use/Land Cover (LULC) in the Wuding River Basin, China: Impacts of Ecological Restoration DOI Open Access

Tingyu Sun,

Mingxia Ni,

Yinuo Yang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10453 - 10453

Published: Nov. 28, 2024

Over the past two decades, large-scale ecological restoration in Loess Plateau has significantly transformed land use and cover (LULC) Wuding River Basin (WRB), improving governance environmental conditions. This study examines spatiotemporal evolution of LULC its driving factors from 2000 to 2020, employing methods such as dynamic degree, transfer matrix, migration trajectory, geographical detector. Results show that (1) grassland dominates basin’s (78.16%), with decreases cropland desert areas, expansions grassland, forest, urban areas. Water bodies minimal fluctuations. The mean annual degree types (from highest lowest) is follows: forest > water grassland. overall fluctuated, initially decreasing (0.85%–0.68%), then increasing (0.68–0.89%), followed by another decline (0.89–0.30%). (2) patterns follow a northwest-to-southeast gradient, primary transitions secondary urban, bodies. Spatial mainly shifts westward northward. (3) Under single-factor influence, natural factors, especially slope (7.2–36.4%) precipitation (6.1–22.3%), are drivers changes, population density (7.9%) GDP (27.5%) influencing In interaction topography climate (40.5–66.1%) primarily drive increases cropland, while human activities (24.8–36.7%) influence area expansion. Desert reduction largely driven climatic (40.3%). between shows either bi-factorial or nonlinear enhancement effect, suggesting their combined offers stronger explanatory power than any single factor alone. highlights significant changes WRB, both activities, contributing enhanced sustainability.

Language: Английский

Land use change and its driving factors in the ecological function area: A case study in the Hedong Region of the Gansu Province, China DOI

Zhudeng Wei,

Na Du, Wenzheng Yu

et al.

Journal of Arid Land, Journal Year: 2024, Volume and Issue: 16(1), P. 71 - 90

Published: Jan. 1, 2024

Language: Английский

Citations

4
Monitoring vegetation degradation using remote sensing and machine learning over India – a multi-sensor, multi-temporal and multi-scale approach DOI Creative Commons
Koyel Sur,

Vipan Kumar Verma,

Pankaj Panwar

et al.

Frontiers in Forests and Global Change, Journal Year: 2024, Volume and Issue: 7

Published: June 6, 2024

Vegetation cover degradation is often a complex phenomenon, exhibiting strong correlation with climatic variation and anthropogenic actions. Conservation of biodiversity important because millions people are directly indirectly dependent on vegetation (forest crop) its associated secondary products. United Nations Sustainable Development Goals (SDGs) propose to quantify the proportion as total land area all countries. Satellite images form one main sources accurate information capture fine seasonal changes so that long-term can be assessed accurately. In present study, Multi-Sensor, Multi-Temporal Multi-Scale (MMM) approach was used estimate vulnerability degradation. Open source Cloud computing system Google Earth Engine (GEE) systematically monitor evaluate potential multiple satellite data variable spatial resolutions. Hotspots were demarcated using machine learning techniques identify greening browning effect coarse resolution Normalized Difference Index (NDVI) MODIS. Rainfall datasets Climate Hazards Group InfraRed Precipitation Station (CHIRPS) for period 2000–2022 also find rainfall anomaly in region. Furthermore, hotspot areas identified high-resolution major based analysis understand verify cause change whether or nature. This study several State/Central Government user departments, Universities, NGOs lay out managerial plans protection vegetation/forests India.

Language: Английский

Citations

4
Investigate the Factors of Land Degradation in Chinese Provinces: An Application of Index Formation and Random Forest DOI Open Access

Z. P. Tu,

Qing‐An Huang, Xin Zhao

et al.

Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 17, 2025

ABSTRACT This study analyzes factors driving land degradation in China from 1996 to 2023, focusing on gross regional product, rural population, coal consumption, and wastewater generation. Using a quantile control random forest model, the findings reveal that economic growth significantly accelerates degradation, while management are critical but partially mitigable drivers. Environmental policies implemented post‐2018, particularly following Paris Agreement, have notably reduced rates. research provides novel application of model analyze long‐term dynamics, offering precise insights into variable impacts across levels. Additionally, it contributes understanding effectiveness post‐2018 environmental mitigating aligning with global sustainability goals. The highlights need for sustainable use, cleaner energy adoption, enhanced management. Future should explore localized data broader variables deeper dynamics.

Language: Английский

Citations

0
Degradation of alpine meadows exacerbated plant community succession and soil nutrient loss on the Qinghai-Xizang Plateau, China DOI

Shuangxiong Li,

Jiali Chai,

Tuo Yao

et al.

Journal of Arid Land, Journal Year: 2025, Volume and Issue: 17(3), P. 368 - 380

Published: March 1, 2025

Language: Английский

Citations

0
Water Use Efficiency Spatiotemporal Change and Its Driving Analysis on the Mongolian Plateau DOI Creative Commons

Gesi Tang,

Yulong Bao,

Changqing Sun

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(7), P. 2214 - 2214

Published: April 1, 2025

Water use efficiency (WUE) connects two key processes in terrestrial ecosystems: the carbon and water cycles. Thus, it is important to evaluate temporal spatial changes WUE over a prolonged period. The spatiotemporal variation characteristics of Mongolian Plateau from 1982 2018 were analyzed based on net primary productivity (NPP), evapotranspiration (ET), temperature, precipitation, soil moisture. In this study, we used remote sensing data various statistical methods patterns their potential influencing factors 2018. total, 27.02% region witnessed significant decline annual 37 years. Two abnormal surges WUESeason (April-October) detected, 1997 1998 2007 2009. trend some broadleaf forest areas middle northeast reversed original decreasing an increasing trend. has shown strong resilience previous analytical studies, whereas artificial vegetation area showed weak resilience. had positive correlation with moisture, drought severity index (DSI) but temperature. resistance disturbances; however, its effects temperature DSI anomalies was weak. degree interpretation for higher than that meteorological factors, normalized difference (NDVI) disturbances. Delaying start growing season effect WUE, interaction between phenological non-linear enhancing WUE. Human activities have contributed significantly increase eastern, central, southern regions Plateau. These results provide reference study carbon-water cycle

Language: Английский

Citations

0
Combating desertification: comprehensive strategies, challenges, and future directions for sustainable solutions DOI
Waqar Islam,

Fanjiang Zeng,

Junaid Ali Siddiqui

et al.

Biological reviews/Biological reviews of the Cambridge Philosophical Society, Journal Year: 2025, Volume and Issue: unknown

Published: April 3, 2025

ABSTRACT Desertification, a process through which once fertile and productive land is degraded into barren, arid desert, represents significant environmental challenge with widespread consequences for ecosystems human populations globally. This review explores the fundamental causes of desertification, its profound socio‐economic impacts, strategies employed to combat it. We address diverse range approaches aimed at mitigating effects in particular importance sustainable management practices, such as reforestation soil conservation. also examine numerous obstacles practical implementation these potential future directions more effective management. In addition, we highlight role policy frameworks, governmental interventions, international cooperation essential components addressing this pressing issue. As desertification continues threaten both livelihoods vulnerable regions, comprehensive understanding strategies, challenges, solutions will be crucial ensuring resilience affected communities preservation biodiversity. By fostering land‐use practices promoting global cooperation, can pave way resilient improved well‐being facing severe degradation.

Language: Английский

Citations

0
Evaluation of Water Resources Carrying Capacity of Zhangye City Based on Combined Weights and TOPSIS Modeling DOI Open Access

Mingyue Yang,

Deye Qu,

Yue Shen

et al.

Water, Journal Year: 2023, Volume and Issue: 15(24), P. 4229 - 4229

Published: Dec. 8, 2023

According to the natural condition of water resources and economic, social, ecological environment status Zhangye City, carrying capacity City is evaluated by using Technique for Order Preference Similarity an Ideal Solution (TOPSIS) model with combination assignment. The results show that: (1) From 2010 2020, was generally stable at macro level, ranking grades III IV. However, from micro fluctuates a certain extent shows increasing trend year year. (2) steady improvement economic social conditions main driving force comprehensive changes in are also important factors affecting resources. provided decision basis future development utilization reference resource security assessment other arid semi-arid areas our country.

Language: Английский

Citations

10
Land potential assessment and trend-analysis using 2000–2021 FAPAR monthly time-series at 250 m spatial resolution DOI Creative Commons

Julia Hackländer,

Leandro Parente, Yu-Feng Ho

et al.

PeerJ, Journal Year: 2024, Volume and Issue: 12, P. e16972 - e16972

Published: March 13, 2024

The article presents results of using remote sensing images and machine learning to map assess land potential based on time-series Fraction Absorbed Photosynthetically Active Radiation (FAPAR) composites. Land here refers the vegetation productivity in hypothetical absence short–term anthropogenic influence, such as intensive agriculture urbanization. Knowledge this ecological could support assessment levels degradation well restoration potentials. Monthly aggregated FAPAR three percentiles (0.05, 0.50 0.95 probability) at 250 m spatial resolution were derived from 8-day GLASS V6 product for 2000–2021 used determine long-term trends FAPAR, model human pressure. CCa 3 million training points sampled 12,500 locations across globe overlaid with 68 bio-physical variables representing climate, terrain, landform, cover, several pressure including: population count, cropland intensity, nightlights a footprint index. an ensemble that stacks base learners (extremely randomized trees, gradient descended trees artificial neural network) linear regressor meta-learner. was then projected by removing impact urbanization covariate layers. strict cross-validation show global distribution can be explained R 2 0.89, most important covariates being growing season length, forest cover indicator annual precipitation. From model, monthly recent year (2021) produced, predict gaps actual vs . FAPAR. produced maps each spatially matched stable transitional classes. showed large negative (actual lower than potential) classes: urban, needle-leave deciduous flooded shrub or herbaceous while strong found sparse rainfed cropland. On other hand, irrigated post-flooded cropland, tree mixed leaf type, broad-leave largely positive trends. framework allows managers two aspects: declining trend observed difference between

Language: Английский

Citations

3
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
Exploration of the utilization of a new land degradation index in Lake Ebinur Basin in China DOI Creative Commons

XinPeng Shi,

Baisong An,

Xinwen Peng

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: July 30, 2024

Land degradation significantly impacts regional economic development and food security, particularly in arid river basins where soil water conservation is crucial. Understanding the extent causes of land pivotal for effectively prevention management. This study employs adjusted vegetation index (SAVI), temperature dryness (TVDI), salinization detection (SDI), combined with analytic hierarchy process entropy weight method, to construct a comprehensive (LDI). Sen's slope trend analysis Mann-Kendall significance test were used analyze trends Ebinur Lake watershed from 2002 2022. Additionally, optimal parameters-based geographical detector was examine underlying mechanisms degradation. The results indicate following: (1) From 2012, degree worsened, eastern southeastern parts, as well southern region Toli County. 2012 2022, improved, notable reduction degraded area. (2) Over period 2002-2022, $$93.08\%$$ research exhibited declining LDI trend, $$3.95\%$$ showed no change, only $$2.96\%$$ an increasing trend. (3) Moderate, severe, very severe mainly occurred on grassland unused land, while light non-degradation primarily forest cultivated land. (4) Unreasonable use overgrazing identified primary factors influencing degradation, elevation being secondary factor. interaction between other found be most significant, followed by synergistic effects grazing quantity elevation, annual average temperature, gross domestic product, moisture, precipitation, temperature. this offer empirical basis taking decisions assistance control Basin, examples references assessing places.

Language: Английский

Citations

2