The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 908, P. 168391 - 168391
Published: Nov. 11, 2023
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
53
Environmental Research, Journal Year: 2024, Volume and Issue: 247, P. 118233 - 118233
Published: Jan. 21, 2024
Language: Английский
Citations
22
International Journal of Digital Earth, Journal Year: 2022, Volume and Issue: 15(1), P. 1463 - 1484
Published: Sept. 11, 2022
Vegetation plays an important role in global or regional environmental change. In this study, the spatial–temporal variations of NDVI and its response to climate China seven sub-regions were investigated based on MODIS data, ERA5-land precipitation (PRE) temperature (TEM) data from 2001 2020. The inter-annual growth rate was 0.0021/yr past 20 years. rates had significant differences at seasonal scales. ratio improved vegetation area total studied reached about 70%. summer, degradation concentrated East Southwest China. Central South more obviously autumn than other seasons. Northeast a remarkable winter, especially winter. influence degree PRE (q = 0.54, P < 0.01) greater that TEM 0.27, control spatial distribution NDVI. interaction q ∩ 0.71 last However, played different roles sub-regions.
Language: Английский
Citations
42
Land, Journal Year: 2022, Volume and Issue: 11(10), P. 1631 - 1631
Published: Sept. 22, 2022
Understanding the characteristics of traditional village distribution contributes to formulation relevant protection and development strategies. We adopted a series spatial analysis methods investigate in China by using watershed as research unit. Moreover, we conducted quantitative qualitative analyses influencing factors affecting pattern Geodetector mathematical statistics. The findings indicate that villages are distributed unevenly across units. High–High clusters tend occur at boundaries first-level watersheds. Traditional have clear agglomeration trend space, with concentrated contiguous based on “core density area–ring-core expansion group–belt area”. key annual precipitation, average temperature, river density. number has inverted U-shaped relationship density, road study reveals complex various its influence mechanism offers scientific advice for villages’ future development.
Language: Английский
Citations
42
Forests, Journal Year: 2023, Volume and Issue: 14(3), P. 620 - 620
Published: March 20, 2023
The Yellow River Basin (YRB) is a fundamental ecological barrier in China and one of the regions where environment relatively fragile. Studying spatio-temporal variations vegetation coverage YRB their driving factors through long-time-series dataset great significance to eco-environmental construction sustainable development YRB. In this study, we sought characterize variation its climatic from 2001 2020 by constructing new kernel normalized difference index (kNDVI) based on MOD13 A1 V6 data Google Earth Engine (GEE) platform. Using Theil–Sen median trend analysis, Mann–Kendall test, Hurst exponent, investigated characteristics future trends coverage. were obtained via partial correlation analysis complex associations between kNDVI both temperature precipitation. results reveal following: spatial distribution pattern showed that was high southeast low northwest. Vegetation fluctuated 2020, with main significant increasing growth at rate 0.0995/5a. response strong YRB, stronger precipitation than temperature. Additionally, found be non-climatic factors, which mainly distributed Henan, southern Shaanxi, Shanxi, western Inner Mongolia, Ningxia, eastern Gansu. areas driven northern Shandong, Qinghai, Gansu, northeastern Sichuan. Our findings have implications for ecosystem restoration
Language: Английский
Citations
31
Forest Ecology and Management, Journal Year: 2024, Volume and Issue: 554, P. 121677 - 121677
Published: Jan. 9, 2024
Language: Английский
Citations
16
Forests, Journal Year: 2024, Volume and Issue: 15(3), P. 398 - 398
Published: Feb. 20, 2024
Due to the special nature of karst landforms, quantification their vegetation dynamics and underlying driving factors remains a formidable challenge. Based on NDVI dataset, this study uses principal component analysis extract comprehensive utilizes an optimized parameter-based geographical detector geographically weighted regression models assess explanatory capacity concerning spatial differentiation change. The results revealed following: (1) In terms temporal changes, Asian concentrated distribution area (AKC) displayed overall stability increasing trend between 2000 2020. Notably, northern (Southwest China) region experienced most substantial increase, with increased areas exceeding 70%, primarily in provinces Guizhou Guangxi. contrast, southern (Indochina Peninsula) region, particularly Cambodia, Laos, Vietnam (CLV), exhibited significant decreasing trend, decreased 30%. (2) By analyzing affecting change, changes distinct differentiations, along positive negative effects. Human factors, including human activity intensity, urban economic development, agricultural development (explanatory power local R2 were both greater than 0.2), exerted more impact change AKC natural such as thermal conditions, water soil conditions. This was Southwest China but inhibited Indochina Peninsula, within CLV area. interaction greatly enhanced impacts changes. These provide valuable insights into mechanisms, which are crucial for preserving delicate ecosystems facilitating recovery.
Language: Английский
Citations
10
Remote Sensing, Journal Year: 2022, Volume and Issue: 14(14), P. 3390 - 3390
Published: July 14, 2022
Vegetation is a critical component of ecosystems that influenced by climate change and human activities. It therefore great importance to investigate trends in vegetation dynamics explore how these are This will help formulate effective ecological restoration policies ensure sustainable development. As the Normalized Difference Index (NDVI) strongly correlated with may be used as proxy measure for condition, spatiotemporal characteristics NDVI derived from SPOT/VEGETATION data China over 1998–2019 period were assessed using Mann–Kendall test Hurst exponent. The Pearson correlation analysis residual methods employed analyze influencing factors dynamics. Integrating results exponent trend analysis, it was found majority area presenting an increasing at present but likely reverse future. A significant positive between temperature observed on southeast coast north Qinghai–Tibet Plateau. Precipitation dominant factor affecting indicated most parts except inland Northwest Hengduan Mountains Southwest China. Extreme extreme precipitation have also shown varying degrees influence various locations. In addition, this study revealed NDVI, suggesting improved condition attributable implementation engineering projects. helpful studying interaction mechanisms terrestrial sustaining environment.
Language: Английский
Citations
30
Global Ecology and Conservation, Journal Year: 2023, Volume and Issue: 42, P. e02393 - e02393
Published: Jan. 31, 2023
Fragile ecological regions are the key zones for conducting engineering construction. Exploring intrinsic linkage between vegetation dynamics and climate change human activities is important government to formulate reasonable effective environmental protection policies in different types of ecologically fragile regions. This study used Net Primary Productivity (NPP) as an indicator, based on multitemporal land use data, separate anthropogenic climatic disturbance areas. We revealed dynamics, explored roles temperature precipitation, assessed relative contributions four China from 2001 2019. The indicated that NPP showed increasing trends degrees arid region northwest (AN), Loess Plateau (LP), Tibetan (TP) karst southwest (KS) early 21st century. correlation precipitation was higher than In northern zone, cause increase NPP. drought resistance largely symbolized its ability resist risk degradation. Climate has played a positive role growth Except TP, have contributed construction other regions, with strongest contribution LP (2.10 gC m−2 yr−1), which some progress this region. Due degradation forests grasslands caused by overgrazing farmland reclamation departments should give timely attention security avoid causing future, we suggest natural humanitarian characteristics be considered before formulating measures reasonably taken achieve effectiveness standardization management.
Language: Английский
Citations
19
Forests, Journal Year: 2024, Volume and Issue: 15(1), P. 137 - 137
Published: Jan. 9, 2024
Global climate warming has profoundly affected terrestrial ecosystems. The Tibetan Plateau (TP) is an ecologically vulnerable region that emerged as ideal place for investigating the mechanisms of vegetation response to change. In this study, we constructed annual synthetic NDVI dataset with 500 m resolution based on MOD13A1 products from 2000 2021, which were extracted by Google Earth Engine (GEE) and processed Kalman filter. Furthermore, considering topographic climatic factors, a thorough analysis was conducted ascertain causes effects NDVI’s spatiotemporal variations TP. main findings are: (1) coverage TP been growing slowly over past 22 years at rate 0.0134/10a, notable heterogeneity due its topography conditions. (2) During study period, generally showed “warming humidification” trend. influence human activities growth exhibited favorable trajectory, acceleration observed since 2011. (3) primary factor influencing in southeastern western regions increasing temperature. Conversely, northeastern central mostly regulated precipitation. (4) Combined principal component analysis, PCA-CNN-LSTM (PCL) model demonstrated significant superiority modeling sequences Plateau. Understanding results paper important sustainable development formulation ecological policies
Language: Английский
Citations
7