Spatial–Temporal Differentiation and Driving Factors of Vegetation Landscape Pattern in Beijing–Tianjin–Hebei Region Based on the ESTARFM Model DOI Open Access
Yilin Wang, Ao Zhang,

Xintong Gao

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(23), P. 10498 - 10498

Published: Nov. 29, 2024

Urbanization and industrialization have led to obvious changes in the ecological environment landscape pattern Beijing–Tianjin–Hebei region. Therefore, it is crucial clarify spatial–temporal vegetation cover its conduct analysis with driving factors for preservation This study combined AVHRR GIMMS NDVI MODIS data based on ESTARFM model obtain a high resolution cover; then analyzed at type scales using index explored of through principal component analysis. The results show that (1) mainly medium higher coverage distributed northeast, western part Taihang Mountains central plains area. From 1985 2022, there was no statistically significant difference overall change coverage. (2) level, exhibited following characteristics: increased fragmentation, an increase complexity shape, decrease connectivity, discrete species diversity. At demonstrated most degree fragmentation. high-vegetation-cover areas more concentrated distribution. Additionally, low, lower types displayed complexity, discreteness heterogeneity within landscape. (3) Meanwhile, showed were result effects climatic anthropogenic human factor played dominant role; this followed by larger contributions from factors. In addition offering pertinent scientific insights maximization fostering regional sustainable development region, aforementioned research could serve as foundation management planning cover.

Language: Английский

Development of Fractional Vegetation Cover Change and Driving Forces in the Min River Basin on the Eastern Margin of the Tibetan Plateau DOI Open Access
Shuyuan Liu,

Li Zhou,

Huan Wang

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(1), P. 142 - 142

Published: Jan. 14, 2025

Fractional vegetation cover (FVC) is an important indicator of regional ecological environment change, and quantitative research on the spatial temporal distribution FVC trend change great significance to monitoring, evaluation, protection, restoration ecology. This study estimates eastern Tibetan Plateau margin from 2000 2020 using image element dichotomous model based Google Earth Engine platform MODIS-NDVI images. It also investigates changes in this region its drivers Theil–Sen Mann–Kendall tests, autocorrelation analysis, geodetector, machine learning approaches impact. The results indicated a generally erratic rising tendency, with Min River Basin (MRB) near tip having annual average 0.67 growth rate 0.16%. percentage places better reached 60.37%. showed significant positive was clustered. Driver analyses that soil type, DEM, temperature, potential evapotranspiration, land use type were main influencing Plateau. In addition, random forest (RF) outperformed support vector (SVM), backpropagation neural network (BP), long short-term memory (LSTM) regression fitting. summary, shows overall upward trend, has improved significantly over past two decades.

Language: Английский

Citations

1
A framework for dynamic assessment of soil erosion and detection of driving factors in alpine grassland ecosystems using the RUSLE-InVEST (SDR) model and Geodetector: A case study of the source region of the Yellow River DOI Creative Commons

Hucheng Li,

Jianjun Chen, Ming Ling

et al.

Ecological Informatics, Journal Year: 2024, Volume and Issue: unknown, P. 102928 - 102928

Published: Nov. 1, 2024

Language: Английский

Citations

8
Atmospheric precipitation chemistry and environmental significance in major anthropogenic regions globally DOI

Lanping Si,

Zongxing Li

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171830 - 171830

Published: March 19, 2024

Language: Английский

Citations

4
Investigation on the Linkage Between Precipitation Trends and Atmospheric Circulation Factors in the Tianshan Mountains DOI Open Access
Chen Chen, Yanan Hu, Mengtian Fan

et al.

Water, Journal Year: 2025, Volume and Issue: 17(5), P. 726 - 726

Published: March 1, 2025

The Tianshan Mountains are located in the hinterland of Eurasian continent, spanning east to west across China, Kazakhstan, Kyrgyzstan, and Uzbekistan. As primary water source for Central Asia’s arid regions, mountain system is pivotal regional security highly sensitive nuances climate change. Utilizing ERA5 precipitation datasets alongside 24 atmospheric circulation indices, this study delves into variances Tianshan’s patterns their correlation with large-scale within timeframe 1981 2020. We observe a seasonally driven dichotomy, mountains exhibiting increasing moisture during spring, summer, autumn months, contrasted by drier conditions winter. There pronounced spatial variability; western northern reaches exhibit more increases compared eastern southern counterparts. Influences on multifaceted, significant factors including North Pacific Pattern (NP), Trans-Niño Index (TNI), Tropical Northern Atlantic (TNA*), Extreme Eastern SST (Niño 1+2*), (NTA), 4*), Tripole Interdecadal Oscillation [TPI(IPO)], Western Hemisphere Warm Pool (WHWP*). Notably, NP TNI emerge as predominant driving upsurge precipitation. further reveals lagged response circulatory patterns, underpinning complex correlations resonance cycles varying magnitudes. Our findings offer valuable insights forecasting trends mountainous terrains amidst ongoing shifts global conditions.

Language: Английский

Citations

0
Human activities weaken the topographic regulation of vegetation dynamics in response to climate change in the Amur River Basin DOI Creative Commons

Bingbo Ni,

Shanfeng Xing,

Jinyuan Ren

et al.

Deleted Journal, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

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
Spatiotemporal Heterogeneity of Vegetation Cover Dynamics and Its Drivers in Coastal Regions: Evidence from a Typical Coastal Province in China DOI Creative Commons
Yiping Yu, Dong Liu, Shiyu Hu

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(5), P. 921 - 921

Published: March 5, 2025

Studying the spatiotemporal trends and influencing factors of vegetation coverage is essential for assessing ecological quality monitoring regional ecosystem dynamics. The existing research on variations their driving predominantly focused inland ecologically vulnerable regions, while coastal areas received relatively little attention. However, with unique geographical, ecological, anthropogenic activity characteristics, may exhibit distinct distribution patterns mechanisms. To address this gap, we selected Shandong Province (SDP), a representative province in China significant natural socioeconomic heterogeneity, as our study area. investigate coastal–inland differentiation dynamics its underlying mechanisms, SDP was stratified into four geographic sub-regions: coastal, eastern, central, western. Fractional cover (FVC) derived from MOD13A3 v061 NDVI data served key indicator, integrated multi-source datasets (2000–2023) encompassing climatic, topographic, variables. We analyzed characteristics dominant across these sub-regions. results indicated that (1) FVC displayed complex notable gradient where decreased towards coast. (2) influence various significantly varied sub-regions, dominating an east–west polarity, i.e., explanatory power intensified westward resurging zones. (3) intricate interaction multiple influenced spatial FVC, particularly dual-factor synergies interactions between other were crucial determining coverage. Notably, zone exhibited high sensitivity to drivers, highlighting exceptional ecosystems human activities. This provides insights different geographical zones well factors. These findings can help understand challenges faced protecting vegetation, facilitating deeper insight responses enabling formulation effective tailored strategies promote sustainable development areas.

Language: Английский

Citations

0
Satellite-Derived Spatiotemporal Dynamics of Vegetation Cover and Its Driving Factors in the Three-River Headwaters Region from 2001 to 2022 DOI Creative Commons
Fei Qiu, Yunjun Yao, Yufu Li

et al.

Remote Sensing, Journal Year: 2025, Volume and Issue: 17(7), P. 1187 - 1187

Published: March 27, 2025

To preserve ecological integrity and promote sustainable progress in the Three-River Headwaters Region (TRHR), it is vital to understand vegetation alteration patterns sensitivity of these climatic anthropogenic influences. In this study, we retrieved fractional cover (FVC) through dimidiate pixel model, driven by MODIS reflectance data from 2001 2022, analyzed its spatiotemporal variations responses climate variation human activities via partial correlation residual analyses. The results indicated that FVC retrieval accuracy reached 84.2%. From growing season displayed a fluctuating yet overall increasing trend, with an average growth rate 0.23% per year (p < 0.01). significantly improved 50.72% TRHR, Yellow River source area exhibiting most notable improvement. However, 67.42% TRHR experienced transition improvement degradation vegetation, indicating pessimistic outlook for future changes. Partial analysis revealed temperature had pronounced influence on southwestern Basin southern Yangtze Basin, whereas precipitation substantial effect northeastern sections Basin. Additionally, change served as predominant factor behind changes FVC, intervention contributed substantially improvements western portions Our study provides scientific support construction security barriers harmonious development humans nature TRHR.

Language: Английский

Citations

0
Spatio-Temporal Drought Assessment by Using the Innovative Probability of Drought Severity (PDS) Method DOI Creative Commons

Ahmet Faruk Ipek,

Ali Altas,

Ugur Serencam

et al.

Water Resources Management, Journal Year: 2025, Volume and Issue: unknown

Published: April 2, 2025

Language: Английский

Citations

0
Impacts of Water Diversion Projects on Vegetation Coverage in Central Yunnan Province, China (2017–2022) DOI Creative Commons

Anlan Feng,

Zhenya Zhu,

Xiudi Zhu

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2373 - 2373

Published: June 28, 2024

The water diversion project in Central Yunnan Province (WDP-YN) is the largest under construction China. However, ecological effects of this are still unclear. This study utilized Sentinel-2 remote sensing data to estimate fractional vegetation cover (FVC), maps spatiotemporal variations FVC areas from 2017 2022, and evaluates impact WDP-YN on regional coverage using buffer analysis type transition matrix methods. led following findings: (1) From within 10 km tunnel route showed a slightly downward trend or remained relatively stable with no significant changes spatial pattern FVC. (2) Before after WDP-YN, over 60% area change On Construction Route Section I (CRS-I), improved and/or degraded 12.90% (14.10%) regions concentrated northern CRS-I. For II (CRS-II), 11.96% 27.51% were dominated by Vegetation near Groundwater Monitoring Point (GMPa) stable. (3) 2 both sides CRS-I, slowing down increase FVC, while 2–6 CRS-II, closer distance faster decrease slowed 0–2 CRS-II. sheds light impacts infrastructure provides practical guidance reference for eco-environment protection restoration given conservancy projects China other world.

Language: Английский

Citations

1