Natural Hazards, Journal Year: 2023, Volume and Issue: 119(1), P. 387 - 408
Published: Aug. 17, 2023
Language: Английский
Remote Sensing, Journal Year: 2021, Volume and Issue: 13(2), P. 187 - 187
Published: Jan. 7, 2021
As an important part of a terrestrial ecosystem, vegetation plays role in the global carbon-water cycle and energy flow. Based on Global Inventory Monitoring Modeling System (GIMMS) third generation Normalized Difference Vegetation Index (NDVI3g), meteorological station data, climate reanalysis land cover this study analyzed dynamics spatiotemporal variations NDVI northern China from 1982 to 2015. The results showed that growth season (NDVIgs) increased significantly at 0.006/10a (p < 0.01) 1982–2015 regional scale. period 2015 was divided into three periods: NDVIgs by 0.026/10a 1982–1990, decreased −0.002/10a > 0.1) 1990–2006, then 0.021/10a during 2006–2015. On pixel scale, increases 1982–2015, 2006–2015 accounted for 74.64%, 85.34%, 48.14%, 68.78% total area, respectively. In general, dominant drivers had gradually switched solar radiation, temperature, precipitation (1982–1990) temperature (1990–2015). For woodland, high coverage grassland, medium low changed radiation precipitation, precipitation. areas controlled significantly, mainly distributed arid, sub-arid, sub-humid areas. plateau zone or high-altitude area while cold temperate zone, radiation. These are helpful understand growth, have guiding significance protection restoration context change.
Language: Английский
Citations
59
Ecological Informatics, Journal Year: 2022, Volume and Issue: 73, P. 101913 - 101913
Published: Nov. 20, 2022
Language: Английский
Citations
40
Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)
Published: Feb. 4, 2025
Language: Английский
Citations
1
International Journal of Environmental Research and Public Health, Journal Year: 2020, Volume and Issue: 17(13), P. 4865 - 4865
Published: July 6, 2020
Since the Silk-road Economic belt initiatives were proposed, Xinjiang has provided a vital strategic link between China and Central Asia even Eurasia. However, owing to weak vulnerable ecosystem in this arid region, slight climate change would probably disrupt vegetation dynamics land cover change. Thus, there is an urgent need determine Normalized Difference Vegetation Index (NDVI) Land-use/Land-cover (LULC) responses Here, extreme-point symmetric mode decomposition (ESMD) method linear regression (LRM) applied recognize variation trends of NDVI, temperature, precipitation growing season other seasons. Combining transfer matrix LULC, Pearson correlation analysis was utilized reveal response NDVI extremes. The results showed that: (1) Extreme temperature greater than extreme precipitation. Both ESMD LRM exhibited increased volatility trend for with significant improvement regions mainly located margin basins. (2) had warming trend, permanent snow been reduced by 20,436 km2. higher temperature. Furthermore, humid could provide more suitable conditions growth, but warm might prevent growth. Spatially, North (NXC) sensitive that South (SXC). Seasonally, spring summer, opposite occurs autumn. (3) stronger reduction diurnal beneficial Therefore, continuous concentrated night-time-temperatures enhance growth Xinjiang. This study enrich understanding extremes scientific support eco-environment sustainable management regions.
Language: Английский
Citations
51
Land, Journal Year: 2021, Volume and Issue: 10(9), P. 966 - 966
Published: Sept. 13, 2021
Temporal and spatial changes in vegetation their influencing factors are of great significance for the assessment climate change sustainable development ecosystems. This study applied Asymmetric Gaussians (AG) fitting method, Mann-Kendall test, correlation analysis to Global Inventory Monitoring Modeling System (GIMMS) third-generation Normalized Difference Vegetation Index gridded drought data 1982–2015. The temporal NDVI natural grassland forest during growing season were analyzed. Relationships among NDVI, change, droughts also analyzed reveal influence change. results showed that: (1) Land use/cover (LUCC) China was mainly represented by increases agricultural land (Agrl) urban rural (Uril), decreases unutilized (Bald), grassland, forest, permanent glacier snow (Snga). increase distributed western northwest arid area (WNW) northern North (NNC), whereas regions with severe human activities such as southern South (SNC), (WSC), eastern (ESC) significant due conversion land. (2) start (SOS) advanced WNW, SNC, WSC, ESC, end (EOS) delayed NNC, SNC. length (GSL) has been extended eight days over last 34 years. However, phenology Qinghai-Tibet Plateau (TP) opposite that other GSL an insignificant decreasing trend. (3) increased significantly, particularly WNW. Precipitation found control growth semi-arid (WNW ENW), precipitation had a much greater impact on than forests. Temperature throughout China, WSC. (4) Standardized Evapotranspiration (SPEI) downward trend, indicating aridification trend ENW, Similar precipitation, main areas affected WNW ENW be more sensitive forest. this predicting response ecosystem productivity under future scenarios.
Language: Английский
Citations
43
Geosystems and Geoenvironment, Journal Year: 2022, Volume and Issue: 1(3), P. 100075 - 100075
Published: May 4, 2022
Land degradation is a serious problem affecting the livelihoods of people leaving in marginal lands. Its assessment has been made easy by plethora remote sensing techniques. This study seeks to establish spatiotemporal trends vegetation and its response climate change anthropogenic stressors Southern Bui Plateau, Cameroon. The used mean annual Landsat-derived NDVI cloud-free months model dynamics over 37 years (1984–2021) based on Ordinary Least Square (OLS) Regression Pearson's Product Correlation with Rainfall Anomaly Index (RAI) pixel-by-pixel basis. Areas undergoing significant are estimated at 10.81% (1469.08 km2) slight degradation, 23.57% (3202.39 km2). Total degraded lands accounted for 34.38% (either 4671.47 improvement cover 24.88%, while 9.69% area showed improvement. NDVI-Rainfall relationship revealed that areas significantly impacted human activities pressures (r ≤ -0.50) driving changes covered 24.67% 3352.03 km2), those under climatic variability influence ≥ 0.50 0.90) 55.84% 7587.26 both < 0.70), 13.09% 1779.01 not impacted, i.e., somewhat stable nature 6.40% (869.04 occupy heavily grazed landscapes, transhumance paths, forested Kilum-Ijim forest. practice sustainable land management landscape restoration initiatives key achieving neutrality watershed scale.
Language: Английский
Citations
35
The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 906, P. 167632 - 167632
Published: Oct. 6, 2023
Language: Английский
Citations
22
The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 905, P. 167366 - 167366
Published: Sept. 25, 2023
Language: Английский
Citations
21
Remote Sensing, Journal Year: 2021, Volume and Issue: 13(7), P. 1230 - 1230
Published: March 24, 2021
Changes in climate extremes have a profound impact on vegetation growth. In this study, we employed the Moderate Resolution Imaging Spectroradiometer (MODIS) and recently published dataset (HadEX3) to study temporal spatial evolution of cover, its responses arid region northwest China (ARNC). Mann-Kendall test, Anomaly analysis, Pearson correlation Time lag cross-correlation method, Least absolute shrinkage selection operator logistic regression (Lasso) were conducted quantitatively analyze response characteristics between Normalized Difference Vegetation Index (NDVI) from 2000 2018. The results showed that: (1) ARNC had fluctuating upward trend, with significantly increasing Xinjiang Tianshan, Altai Mountain, Tarim Basin, decreasing central inland desert. (2) Temperature an extremely high-temperature events low-temperature decreasing. Precipitation also exhibited slightly trend. (3) NDVI was overall positively correlated indices (CEIs), although both positive negative correlations spatially coexisted. (4) time effects differences growing period. (5) closely related than temperature according Lasso modeling results. This provides reference for understanding variations their regions.
Language: Английский
Citations
41
Environmental Challenges, Journal Year: 2023, Volume and Issue: 13, P. 100781 - 100781
Published: Oct. 18, 2023
Due to Ethiopia's broad variations in biophysical and climatic variables, an accurate understanding of local-level drought is critical for sustainable risk management. This study aims monitor spatio-temporal dynamics over Tekeze basin from 1981–2021 using Standard Precipitation Index (SPI), Vegetation Condition (VCI), Temperature (TCI), health Index(VHI). The analysis relied on data Moderate Resolution Imaging Spectroradiometer (MODIS) datasets CHIRPS-v2. Google Earth Engine (GEE) was used obtain data, process NDVI trends, calculate indices (DI). Man-Kendall trend Pearson correlation were also employed examine the association DI climate variables. SPI showed that affected by moderate, severe, extreme 1884, 1985, 1987, 1993, 1997, 2015. TCI and, VCI, indicated 2002, 2004, 2009, 2015, 2016, 2017 severe droughts. a decreasing throughout most basin, except pocket areas managed watershed, area closures, irrigation sites. Rainfall July emerged as factor determining NDVI, LST, TCI, VCI August. While strongly correlates with precipitation LST less correlated. Although all DIs are robust assessing agricultural droughts, detected more land under than TCI. underscores importance larger weights correctly classifying drought, particularly drylands where crucial vegetation health.
Language: Английский
Citations
14