Understanding global spatio-temporal trends and the relationship between vegetation greenness and climate factors by land cover during 1982–2014

Lamchin, Munkhnasan; Wang, Sonam Wangyel; Lim, Chul-Hee; Ochir, Altansukh; Ukrainskiy, Pavel; Gebru, Belay Manjur; Choi, Yuyoung; Lee, Woo‐Kyun

doi:10.1016/j.gecco.2020.e01299

Cited by 38 publications

(28 citation statements)

References 82 publications

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“…8), mainly caused by fire, diseases or even over-logging (for example, large areas tree mortality in North America owning to plant disease and insect pests ; Middle East and South America experienced a widespread deforestation and fire (Aparna et al 2020;Qin et al 2017)). This study also found that the increment of grassland and cropland areas in these regions make contribution to the positive trend of SINDVI, which is consistent with the findings that cropland land increase in some regions and that the increase in vegetation greenness occurred in regions of intensive agricultural activities (Hansen et al 2014;Lamchin et al 2020).…”

Section: Decrease Trends In Sindvisupporting

confidence: 90%

Climate Change and Ecological Engineering Jointly Induced Vegetation Greening in Global Karst Regions From 2001 to 2020

Jing

Huang

et al. 2021

Preprint

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Backgrounds Vegetation dynamic plays a dominant role in the global carbon cycle and climate, especially in vulnerable karst ecosystem. Many studies have examined past several decades changes in vegetation greenness and the associated with climate drivers. Yet, few studies have analyzed the vegetation change in global karst regions particularly in the last decades when climate change and anthropogenic disturbance widely occurred. Methods In this study, we investigated the spatio-temporal variations of vegetation dynamic using the Seasonally Integrated Normalized Difference Vegetation Index (SINDVI) and examined their relationship to climate changes by correlation analysis, the ordinary least squares method investigate the variation trends and the Mann-Kendal test to detect the turning point from 2001 to 2020. Results As expected, there have greening trend in global karst SINDVI from 2001 to 2020, with significant increasing trend in China (range = 0.836, P < 0.05), Europe (range = 0.456, P < 0.05) and many other regions. According to correlation analyses, SINDVI is water-limited in arid and semi-arid regions, such as Middle East and central Asia, and temperature-limited in northern high-latitude. Conclusions consistent with previous studies, our results suggest that anthropogenic activities are mainly responsible for increasing vegetation greenness in tailoring management measures (e.g., Ecological Engineering, the Grain to Green Project) of China and Europe, intensive farmed in Middle East. Coupling warming temperature and increasing precipitation, southeastern Asia and Russia showed an increasing trend in SINDVI. In general, climate factors were the dominant drivers of the variation in vegetation greenness in globally karst regions during research period.

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Section: Decrease Trends In Sindvisupporting

confidence: 90%

Climate Change and Ecological Engineering Jointly Induced Vegetation Greening in Global Karst Regions From 2001 to 2020

Jing

Huang

et al. 2021

Preprint

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Section: Decrease Trends In Sindvisupporting

confidence: 90%

Climate change and ecological engineering jointly induced vegetation greening in global karst regions from 2001 to 2020

Jing

Huang

et al. 2021

Plant Soil

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Backgrounds Vegetation dynamic plays a dominant role in the global carbon cycle and climate, especially in vulnerable karst ecosystem. Many studies have examined past several decades changes in vegetation greenness and the associated with climate drivers. Yet, few studies have analyzed the vegetation change in global karst regions particularly in the last decades when climate change and anthropogenic disturbance widely occurred.Methods In this study, we investigated the spatio-temporal variations of vegetation dynamic using the Seasonally Integrated Normalized Difference Vegetation Index (SINDVI) and examined their relationship to climate changes by correlation analysis, the ordinary least squares method investigate the variation trends and the Mann-Kendal test to detect the turning point from 2001 to 2020. ResultsAs expected, there have greening trend in global karst SINDVI from 2001 to 2020, with significant increasing trend in China (range = 0.836, P < 0.05), Europe (range = 0.456, P < 0.05) and many other regions.According to correlation analyses, SINDVI is water-limited in arid and semi-arid regions, such as Middle East and central Asia, and temperature-limited in northern high-latitude.Conclusions consistent with previous studies, our results suggest that anthropogenic activities are mainly responsible for increasing vegetation greenness in tailoring management measures (e.g., Ecological Engineering, the Grain to Green Project) of China and Europe, intensive farmed in Middle East. Coupling warming temperature and increasing precipitation, southeastern Asia and Russia showed an increasing trend in SINDVI. In general, climate factors were the dominant drivers of the variation in vegetation greenness in globally karst regions during research period.

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“…The normalized difference vegetation index (NDVI) can well characterize vegetation growth and land cover change; it has been widely used to study vegetation dynamics and the impact of climate change on vegetation change, and it is the preferred indicator to study the relationship between vegetation change and climate change [12,[18][19][20][21][22][23]. Lamchin et al [24] used Advanced Very High-Resolution Radiometer (AVHRR) NDVI data from 1982 to 2014 to analyze the relationship between global vegetation greenness and both climate change and human activities. Zhao et al [25] used AVHRR NDVI data to analyze global vegetation change and its driving factors from 1982 to 2013.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

Wang

Mupenzi

et al. 2021

Remote Sensing

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Vegetation changes in the Upper White Nile River (UWNR) are of great significance to the maintenance of local livelihoods, the survival of wildlife, and the protection of species habitats. Based on the GIMMS NDVI3g and MODIS normalized difference vegetation index (NDVI) data, the temporal and spatial characteristics of vegetation changes in the UWNR from 1982 to 2020 were analyzed by a Theil-Sen median trend analysis and Mann-Kendall test. The future trend of vegetation was analyzed by the Hurst exponential method. A partial correlation analysis was used to analyze the relationship of the vegetation and climate factors, and a residual trend analysis was used to quantify the influence of climate change and human activities on vegetation change. The results indicated that the average NDVI value (0.75) of the UWNR from 1982 to 2020 was relatively high. The average coefficient of variation for the NDVI was 0.059, and the vegetation change was relatively stable. The vegetation in the UWNR increased 0.013/10 year on average, but the vegetation degradation in some areas was serious and mainly classified as agricultural land. The results of a future trend analysis showed that the vegetation in the UWNR is mainly negatively sustainable, and 62.54% of the vegetation will degrade in the future. The NDVI of the UWNR was more affected by temperature than by precipitation, especially on agricultural land and forestland, which were more negatively affected by warming. Climate change and human activities have an impact on vegetation changes, but the spatial distributions of the effects differ. The relative impact of human activities on vegetation change accounted for 64.5%, which was higher than that of climate change (35.5%). Human activities, such as the large proportion of agriculture, rapid population growth and the rapid development of urbanization were the main driving forces. Establishing a cross-border drought joint early warning mechanism, strengthening basic agricultural research, and changing traditional agricultural farming patterns may be effective measures to address food security and climate change and improve vegetation in the UWNR.

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Understanding global spatio-temporal trends and the relationship between vegetation greenness and climate factors by land cover during 1982–2014

Cited by 38 publications

References 82 publications

Climate Change and Ecological Engineering Jointly Induced Vegetation Greening in Global Karst Regions From 2001 to 2020

Climate Change and Ecological Engineering Jointly Induced Vegetation Greening in Global Karst Regions From 2001 to 2020

Climate change and ecological engineering jointly induced vegetation greening in global karst regions from 2001 to 2020

Quantitative Contributions of Climate Change and Human Activities to Vegetation Changes in the Upper White Nile River

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