Assessing long-term trends in vegetation cover change in the Xilin River Basin: Potential for monitoring grassland degradation and restoration

Zhou, Yajun; Batelaan, Okke; Guan, Huade; Liu, Tingxi; Duan, Limin; Wang, Yixuan; Li, Xia

doi:10.1016/j.jenvman.2023.119579

Cited by 6 publications

(4 citation statements)

References 36 publications

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“…where φ is geographical latitude (rad), which is obtained from the observational data; and δ is the dip angle of the sun (rad), which is calculated from Equation (6).…”

Section: Data Analysis 231 Potential Evapotranspirationmentioning

confidence: 99%

“…Vegetation plays an essential role in material and energy exchange, greenhouse carbon reduction, and climate stabilization [1][2][3][4]. The vegetation cover is commonly used to assess regional and global environmental conditions [5][6][7][8]. The impact of human activities and climatic factors on vegetation dynamics has been widely discussed in the last few decades [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Sun,

Zhong,

Ding

et al. 2024

Agronomy

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Owing to limited research on the interactions between cropland vegetation and climate and irrigation, this study used the normalized difference vegetation index (NDVI) as a cropland vegetation indicator to describe vegetation dynamics. Potential evapotranspiration (PET) was calculated using the Penman–Monteith equation. A partial correlation analysis and a Pearson correlation coefficient were used to determine the spatial response mechanisms of cropland vegetation to different climatic factors and irrigation in China for the period 1985–2015. The results show that different climatic factors (precipitation, PET, and water deficits) display positive correlations with cropland vegetation in China. A stronger correlation was observed between cropland vegetation and meteorological factors in northern China compared to the southern parts; the response time of NDVI values of croplands to precipitation was observed to be short-term (1 to 3 months) and long-term (3 to 6 months) in northern and southern regions, respectively. In contrast, the response time of NDVI values of croplands to PET displayed a complex spatial heterogeneity. Most of the cropland vegetation and the areas with the highest potential crop yields were located in the eastern part of China; these areas also require higher levels of irrigation, which benefits the potential crop yields. This study can provide a better understanding of the agricultural ecosystems and formulate strategies for food security.

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“…where φ is geographical latitude (rad), which is obtained from the observational data; and δ is the dip angle of the sun (rad), which is calculated from Equation (6).…”

Section: Data Analysis 231 Potential Evapotranspirationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Sun,

Zhong,

Ding

et al. 2024

Agronomy

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show abstract

“…In-depth analysis of vegetation characteristics and climatic elements reveals the intrinsic association between vegetation and climate [12,13], which will assist in understanding the climate drivers of variation in terrestrial ecosystems. In previous studies, large-scale vegetation change data were often analyzed with the help of vegetation index data on the basis of remote sensing, and the NDVI was the most extensively adopted [14,15]. There is a linear or near-linear association between NDVI and vegetation productivity, photosynthetically active radiation, green leaf density, and accumulative biomass, which is identified as a useful index of big surface vegetation cover and development [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Changes in Vegetation NDVI and Its Response to Climate Change and Human Activities in the Ferghana Basin from 1982 to 2015

Zhang,

Li,

Zhao

et al. 2024

Remote Sensing

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Exploring the evolution of vegetation cover and its drivers in the Ferghana Basin helps to understand the current ecological status of the Ferghana Basin and to analyze the vegetation changes and drivers, with a view to providing a scientific basis for regional ecological and environmental management and planning. Based on GIMMS NDVI3g and meteorological data, the spatial and temporal evolution characteristics of NDVI were analyzed from multiple perspectives with the help of linear trend and Mann–Kendall (MK) test methods using arcgis and the R language spatial analysis module, combined with partial correlation coefficients and residual analysis methods to analyze the impacts of climate change and human activities on the regional vegetation cover of the Ferghana Basin from 1982 to 2015. NDVI driving forces. The results showed the following: (1) The growing season of vegetation NDVI in the Ferghana Basin showed an increasing trend in the 34-year period, with an increase rate of 0.0044/10a, and the spatial distribution was significantly different, which was high in the central part of the country and low in the northern and southern parts of the country. (2) Temperature and precipitation simultaneously co-influenced the vegetation NDVI growth season, with most of the temperature and precipitation contributing in the spring, most of the temperature in the summer being negatively phased and the precipitation positively correlated, and most of the temperature and precipitation in the fall inhibiting vegetation NDVI growth. (3) The combined effect of climate change and human activities was the main reason for the overall rapid increase and great spatial variations in vegetation NDVI in China, and the spatial distribution of drivers, namely human activities and climate change, contributed 44.6% to vegetation NDVI in the growing season. The contribution of climate change and human activities to vegetation NDVI in the Ferghana Basin was 62.32% and 93.29%, respectively. The study suggests that more attention should be paid to the role of human activities and climate change in vegetation restoration to inform ecosystem management and green development.

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“…The vegetation status is a crucial indicator reflecting the evolution of the natural ecological environment. Conducting vegetation change monitoring is a fundamental requirement for evaluating the quality and suitability of the ecological environment [10]. Previous research has highlighted that vegetation indices based on "greenness" observations, such as the normalized difference vegetation index (NDVI), can only detect the "potential photosynthesis" of plants [11].…”

Section: Introductionmentioning

confidence: 99%

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

Dong,

Liu,

et al. 2024

Remote Sensing

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Rapid global changes are altering regional hydrothermal conditions, especially in ecologically vulnerable areas such as coastal regions, subsequently influencing the dynamics of vegetation growth. However, there is limited research investigating the response of vegetation in these regions to extreme climates and the associated time lag-accumulation relationships. This study utilized a combined approach of gradual and abrupt analysis to examine the spatiotemporal patterns of vegetation dynamics in the coastal provinces of China from 2000 to 2019. Additionally, we evaluated the time lag-accumulation response of vegetation to extreme climate events. The results showed that (1) extreme high temperatures and extreme precipitation had increased over the past two decades, with greater warming observed in high latitudes and concentrated precipitation increases in water-rich southern regions; (2) both gradual and abrupt analyses indicate significant vegetation improvement in coastal provinces; (3) significant lag-accumulation relationships were observed between vegetation and extreme climate in the coastal regions of China, and the time-accumulation effects were stronger than the time lag effects. The accumulation time of extreme temperatures was typically less than one month, and the accumulation time of extreme precipitation was 2–3 months. These findings are important for predicting the growth trend of coastal vegetation, understanding environmental changes, and anticipating ecosystem evolution.

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Assessing long-term trends in vegetation cover change in the Xilin River Basin: Potential for monitoring grassland degradation and restoration

Cited by 6 publications

References 36 publications

Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Exploring the Diverse Response of Cropland Vegetation to Climatic Factors and Irrigation across China

Changes in Vegetation NDVI and Its Response to Climate Change and Human Activities in the Ferghana Basin from 1982 to 2015

Time Lag and Cumulative Effects of Extreme Climate on Coastal Vegetation in China

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