Theoretical and Applied Climatology, Journal Year: 2025, Volume and Issue: 156(5)
Published: April 25, 2025
Language: Английский
Ecological Indicators, Journal Year: 2023, Volume and Issue: 153, P. 110415 - 110415
Published: May 29, 2023
Vegetation is among the key elements of ecosystems, and normalized difference vegetation index (NDVI) most frequently used tools for studying changes in regional dynamics. Studying these their drivers essential understanding interactions between ecosystems; therefore, here, we analyzed spatial temporal patterns NDVI Jilin Province influencing factors. The correlation climatic factors was using Pearson's analysis. Additionally, explored human activity geographically weighted regression results were as follows: (1) From 1998 to 2020, although trends different types showed some differences general, they all an increasing trend. (2) ranged from − 0.031 0.046. values exhibited a trend toward growth regions. (3) Climate change are more important than improving vegetation. (4) Among factors, negative temperature stronger positive correlation, while correlations precipitation equally strong. (5) Human such GDP population have mostly effects on NDVI, whereas land-use type shifts effects. this study contribute deeper change. discussions can provide theoretical references ecological management sustainable development Province.
Language: Английский
Citations
49
Ecological Informatics, Journal Year: 2024, Volume and Issue: 81, P. 102555 - 102555
Published: March 18, 2024
Vegetation plays a crucial role in terrestrial ecosystems, and there has been substantial shift global vegetation cover recent decades. China is recognized for its impact on changes, which are influenced by both climate change human activities. Therefore, this research aims to assess the respective influences of modification activities variations China. First, changes explored between 1982 2020 using satellite-image derived index, known as Normalized Difference Index (NDVI). Second, multiple regression model based time-lag analysis used simulate NDVI. In addition common climatic factors such temperature, precipitation, solar radiation intensity relative humidity, atmospheric CO2 concentration directly reflect considered model. Finally, influence variation alteration determined reconstructed Results: (1) Precipitation most important influences, while carbon dioxide humidity have least influence. (2) The simulation error before 2000 was 0.875%, considerably lower than after 2000. (3) After 2000, favorably affected recovery study area, with an average degree >30%.
Language: Английский
Citations
39
Ecological Indicators, Journal Year: 2023, Volume and Issue: 148, P. 110103 - 110103
Published: March 8, 2023
Starting from the second half of July, hydrological conditions (low water levels and low flows) atmospheric (high temperatures, lack precipitation) contributed to algae bloom in Oder River basin. The mass extinction fish middle lower section was probably result such environmental conditions. Because is correlated with an increase content chlorophyll river on its surface, authors focused analysis changes amount longitudinal profile river. key data obtained by soundings carried out at interval about one kilometre during research expedition, which took place July 16–24, 2022. These coincided values NDVI index (normalised difference vegetation index) based 10-metre satellite images Sentinel 2 mission. Imagery cloudless periods (mainly March, June, August) processed using compared. Regularly elevated upstream (occurring each period) temporarily as moving downstream were observed. This article confirms initial conclusions Kolada et al. (2022) that kill summer 2022 conditioned natural pressure causing massive release their toxins. also proves use for this type correct approach, but due resolution, they cannot be used reference material. Changes hydrobiological parameters river, are a direct indicator causes ecological disaster, multi-parameter probe two weeks before first catches dead fish.
Language: Английский
Citations
26
Journal of Cleaner Production, Journal Year: 2023, Volume and Issue: 415, P. 137690 - 137690
Published: June 12, 2023
Language: Английский
Citations
25
Ecological Indicators, Journal Year: 2024, Volume and Issue: 159, P. 111639 - 111639
Published: Jan. 27, 2024
Since the 21st century, China has shown dramatic rural depopulation and rapid urbanization, surface vegetation been affected by this urban–rural development pattern. Using remote sensing population data from 2000 to 2020, we investigated spatial temporal evolution of terrestrial under coexistence “rural loss urbanization”. We also analyzed relationship between loss, urbanization area covered four types (forest, grassland, shrubs cropland). found that forests is increasing, shrubs, grasslands, cropland decreasing. Spatially, results Moran index prove characterized autocorrelation. Grasslands are predominantly located on western side Hu line, forests, croplands eastern line. Rural contributes growth forest grassland cover, but inhibits shrub cover. The advance reduces benefits As a result direct effect, reduction cropland, while promotes opposite true for spillover effect. This study helps us better understand direction ecological shifts in migration patterns.
Language: Английский
Citations
15
Ecological Informatics, Journal Year: 2024, Volume and Issue: 80, P. 102505 - 102505
Published: Jan. 30, 2024
Studying the spatiotemporal evolutionary characteristics of vegetation and effect precipitation changes is necessary for understanding regional ecological environment. We used trend analysis, partial correlation significance tests, residual analysis to analyze evolution driving factors fractional cover (FVC) in Jinghe River Basin (JRB) from 1998 2019. The results showed that coverage JRB significantly improved FVC an increasing 90.64% areas JRB, overall annual change was extremely significant (p ≤ 0.01). However, insignificant trend; distribution developed a uniform direction centroid tended move backward. area with between concentration index accounted largest proportion (18.47%). Precipitation generally favored recovery; however, limited non-precipitation dominated FVC. Our study contributes more comprehensive effects patterns on facilitate protection.
Language: Английский
Citations
13
Remote Sensing, Journal Year: 2022, Volume and Issue: 14(24), P. 6271 - 6271
Published: Dec. 10, 2022
Vegetation is the main body of terrestrial ecosystem and a significant indicator environmental changes in regional ecosystem. As an essential link connecting South Asia Southeast Asia, Lancang-Mekong River Basin(LMRB) can provide data support decision-making basis for assessment research management hydrology water resources basin by monitoring its vegetation cover. This study takes Basin as area, employs Sen slope estimation, Mann–Kendall test, Hurst exponent based on MODIS NDVI from 2000 to 2021 spatial temporal evolution trend future sustainability NDVI. Besides, nonlinear characteristics such mutation type year are detected analyzed using BFAST01 method. Results demonstrated that: (1) In past 22 years, generally exhibited fluctuating upward trend, value was largest, which 0.825, showing increase 4.29% compared with 2000. However, rate different: China has most considerable growth 7.25%, followed Thailand 7.21%, Myanmar Laos third, while Cambodia Vietnam have relatively stable changes. The overall performance high south low north, dominated coverage, area coverage exceeding 0.8 accounts 62%. (2) Sen-MK showed that 2021, where decrease accounted 66.59% 18.88%, respectively. indicated areas will continue increase, decrease, remain unchanged account 60.14%, 25.29%, 14.53%, respectively, development uncertain, accounting 0.04%. Thus, more attention should be paid descending trend. (3) eight types over years. mutations mainly occurred 2002–2018, 2002–2004 2014–2018 were frequent periods breakpoints. “interruption: negative break” changed during this period, 36.54%, smallest “monotonic (with break)”, only 0.65%. demonstrates combining conventional analysis method BFAST test accurately analyze spatiotemporal variation NDVI, thus providing scientific reference develop ecological environment-related work.
Language: Английский
Citations
27
Agronomy, Journal Year: 2024, Volume and Issue: 14(4), P. 708 - 708
Published: March 28, 2024
To accurately forecast the future development trend of vegetation in dry areas, it is crucial to continuously monitor phenology, health indices, and drought indices over an extended period. This because caused by high temperatures significantly affects vegetation. study thoroughly investigated spatial temporal variations phenological characteristics abdominal part Maowusu Sandland China past 20 years. Additionally, established a linear correlation between temperature arid zone. address issue predicting long-term trends changes, we have developed method that combines Informer deep learning model with seasonal Seasonal Trend decomposition using Loess (STL) empirical mode (EMD). utilized linearly correlated meteorological data spanning years predict Normalized Difference Vegetation Index (NDVI) Temperature Dryness (TVDI). The study’s findings indicate 20-year observation period, there was upward NDVI, accompanied decrease both frequency severity droughts. STL-EMD-Informer successfully predicted mean absolute percentage error (MAPE = 1.16%) changes for next decade. suggests overall expected continue improving during time. work examined plant growth circumstances locations from several angles complete analytical provide strong scientific basis ecological conservation management regions.
Language: Английский
Citations
6
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 951, P. 175674 - 175674
Published: Aug. 20, 2024
Language: Английский
Citations
5
Sustainability, Journal Year: 2023, Volume and Issue: 15(4), P. 3073 - 3073
Published: Feb. 8, 2023
To tackle ecological problems, many restoration projects have been implemented in northern China. Identifying the drivers of vegetation change is critical for continued engineering. In this study, three typical reserves Three-North Shelter Forest Program Region (TNSFR) were selected to identify their development characteristics and driving mechanisms using normalized difference index (NDVI), climate factors, land use data. The results show that (1) NDVIs increased range human activities all reserves, indicating an obvious effect projects. (2) planting period, was mainly correlated with activities. After entering tending impact changes on dynamics enhanced. (3) Temperature precipitation provided approximate effects I, while Regions II III more strongly precipitation. (4) proportion areas measures exceeded 50% regions. short, dominated quantity restoration, influenced quality restoration.
Language: Английский
Citations
11