Quantifying the direct effects of long-term dynamic land use intensity on vegetation change and its interacted effects with economic development and climate change in jiangsu, China

Shen, Feixue; Yang, Lin; Zhang, Lei; Mao, Guo; Huang, Haili; Zhou, Chenghu

doi:10.1016/j.jenvman.2022.116562

Cited by 22 publications

(6 citation statements)

References 70 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The impact of urbanization on vegetation phenology and its spatial variability could be attributed to many confounding local builtup factors. Previous studies have demonstrated that urbanization-induced subsurface changes could be an important influence on microclimate, leading to different responses of vegetation [72,73]. The significant associations between impervious surfaces, and water bodies with vegetation phenology in this study validated this conclusion.…”

Section: Built-up Environment-driven Vegetation Phenology Under Clima...supporting

confidence: 87%

Synergistic Impacts of Built-Up Characteristics and Background Climate on Urban Vegetation Phenology: Evidence from Beijing, China

Fu,

2024

Forests

View full text Add to dashboard Cite

Vegetation is an important strategy for mitigating heat island effects, owed to its shading and evaporative cooling functions. However, urbanization has significantly affected regional vegetation phenology and can potentially weaken the cooling potential of vegetation. Previous studies have mainly focused on national and regional vegetation phenology, but local-scale vegetation phenology and dynamic variations in built-up areas remain unclear. Therefore, this study characterized the vegetation phenology in the densely built-up area of Beijing, China over the period of 2000–2020 based on high-resolution NDVI data using Savitzky–Golay filtering and explored its spatiotemporal characteristics and drivers. The results indicate that the vegetation phenology exhibits significant spatial heterogeneity and clustering characteristics. Compared with vegetation in peripheral blocks, vegetation in central urban blocks generally has an earlier start in the growing season (SOS), later end in the growing season (EOS), and a longer growing season length (GSL). However, the overall distribution of these parameters has experienced a process of decentralization along with urbanization. In terms of drivers, vegetation phenology indicators are mainly influenced by background climate. Specifically, SOS and GSL are mainly affected by temperature (TEP), whereas EOS is mainly influenced by annual precipitation (PRE). Additionally, local environmental factors, particularly the percentage of water body (WAP), also have an impact. Notably, the local environment and background climate have a synergistic effect on vegetation phenology, which is greater than their individual effects. Overall, this study extends the current knowledge on the response of vegetation phenology to urbanization by investigating long-term vegetation phenology dynamics in dense urban areas and provides new insights into the complex interactions between vegetation phenology and built environments.

show abstract

Section: Built-up Environment-driven Vegetation Phenology Under Clima...supporting

confidence: 87%

Synergistic Impacts of Built-Up Characteristics and Background Climate on Urban Vegetation Phenology: Evidence from Beijing, China

Fu,

2024

Forests

View full text Add to dashboard Cite

show abstract

“…Theil-Sen Median and Mann-Kendall trend analysis techniques have been used in the quantitative study of vegetation change trends in Shaanxi Province over the previous 20 years using temporal KNDVI data. This study used elevation, slope, and aspect as environmental parameters and land-use type and population density as anthropogenic elements in accordance with previous research [41][42][43][44][45]. The meteorological parameters that were selected included the yearly average temperature, the annual average precipitation, and the annual average potential evapotranspiration.…”

Section: Methodsmentioning

confidence: 99%

Research on the Spatio-Temporal Changes of Vegetation and Its Driving Forces in Shaanxi Province in the Past 20 Years

Shi,

Lin,

Jing

et al. 2023

Sustainability

View full text Add to dashboard Cite

(1) Background: Vegetation is an important component of ecosystems. Investigating the spatio-temporal dynamic changes in vegetation in various Shaanxi Province regions is crucial for the preservation of the local ecological environment and sustainable development. (2) Methods: In this study, the KNDVI vegetation index over the 20-year period from 2003 to 2022 was calculated using MODIS satellite image data that was received from Google Earth Engine (GEE). Sen and MK trend analysis as well as partial correlation analysis were then utilized to examine the patterns in vegetation change in various Shaanxi Province regions. This paper selected meteorological factors, such as potential evapotranspiration (PET), precipitation (PRE), and temperature (TMP); human activity factors, such as land-use type and population density; and terrain factors, such as surface elevation, slope direction, and slope gradient, as the influencing factors for vegetation changes in the research area in order to analyze the driving forces of vegetation spatio-temporal changes. These factors were analyzed using a geo-detector. (3) Results: The vegetation in the research area presented a growth trend from 2003 to 2022, and the area of vegetation improvement was 189,756 km2, accounting for 92.15% of the total area. Among them, the area of significantly improved regions was 174,262 km2, accounting for 84.63% of the total area, and the area of slightly improved regions was 15,495 square kilometers, accounting for 7.52% of the total area. (4) Conclusions: The strengthening of bivariate factors and nonlinear enhancement were the main interaction types affecting vegetation changes. The combination of interaction factors affecting vegetation change in Shaanxi Province includes PRE ∩ PET as well as TMP ∩ PET. Therefore, climate conditions were the main driving force of KNDVI vegetation changes in Shaanxi Province. The data supported by this research are crucial for maintaining the region’s natural ecosystem.

show abstract

“…Land use change could impact vegetation (Tasser and Tappeiner, 2002 ; Shen et al, 2023 ), and thus the soil micro- and macro-biota (De Graaff et al, 2014 ; Navarrete et al, 2015 ; Poirier et al, 2016 ; Li et al, 2022 ). Nowadays, many forests have been converted to croplands (Bruun et al, 2013 ) or commercial tree stands (Prabowo et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Reforestation of Cunninghamia lanceolata changes the relative abundances of important prokaryotic families in soil

Hou,

Qiao,

et al. 2024

Front. Microbiol.

View full text Add to dashboard Cite

Over the past decades, many forests have been converted to monoculture plantations, which might affect the soil microbial communities that are responsible for governing the soil biogeochemical processes. Understanding how reforestation efforts alter soil prokaryotic microbial communities will therefore inform forest management. In this study, the prokaryotic communities were comparatively investigated in a secondary Chinese fir forest (original) and a reforested Chinese fir plantation (reforested from a secondary Chinese fir forest) in Southern China. The results showed that reforestation changed the structure of the prokaryotic community: the relative abundances of important prokaryotic families in soil. This might be caused by the altered soil pH and organic matter content after reforestation. Soil profile layer depth was an important factor as the upper layers had a higher diversity of prokaryotes than the lower ones (p < 0.05). The composition of the prokaryotic community presented a seasonality characteristic. In addition, the results showed that the dominant phylum was Acidobacteria (58.86%) with Koribacteraceae (15.38%) as the dominant family in the secondary Chinese fir forest and the reforested plantation. Furthermore, soil organic matter, total N, hydrolyzable N, and NH4+−N were positively correlated with prokaryotic diversity (p < 0.05). Also, organic matter and NO3-−N were positively correlated to prokaryotic abundance (p < 0.05). This study demonstrated that re-forest transformation altered soil properties, which lead to the changes in microbial composition. The changes in microbial community might in turn influence biogeochemical processes and the environmental variables. The study could contribute to forest management and policy-making.

show abstract

Quantifying the direct effects of long-term dynamic land use intensity on vegetation change and its interacted effects with economic development and climate change in jiangsu, China

Cited by 22 publications

References 70 publications

Synergistic Impacts of Built-Up Characteristics and Background Climate on Urban Vegetation Phenology: Evidence from Beijing, China

Synergistic Impacts of Built-Up Characteristics and Background Climate on Urban Vegetation Phenology: Evidence from Beijing, China

Research on the Spatio-Temporal Changes of Vegetation and Its Driving Forces in Shaanxi Province in the Past 20 Years

Reforestation of Cunninghamia lanceolata changes the relative abundances of important prokaryotic families in soil

Contact Info

Product

Resources

About