Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Rousta, Imán; Ólafsson, Haraldur; Zhang, Hao; Moniruzzaman, Md; Krzyszczak, Jaromir; Baranowski, Piotr

doi:10.20944/preprints202010.0208.v1

Cited by 6 publications

(6 citation statements)

References 76 publications

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“…These results, at least in part, are in agreement with previous studies (Berner et al 2020, Piao et al 2020Rousta et al 2020 Fig. 9 Spatial distribution of change range of NDVI < 0.1.…”

Section: Discussionsupporting

confidence: 92%

“…What's more, both the dominant impact of the lower precipitation and the climbed temperature (Table . 2) in this period provide the sufficient conditions of extreme drought in this area. Nonetheless, a fact that a faster recovery of cropland in intensive agricultural areas, these greening trends were due to farming in the North Iraq and Turkey for which groundwater and desalinated seawater were used (Rousta et al 2020). In the low latitudes, except for temperature and precipitation, solar radiation is also a limiting factor (Nemani et al 2003).…”

Section: Discussionmentioning

confidence: 99%

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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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“…These results, at least in part, are in agreement with previous studies (Berner et al 2020, Piao et al 2020Rousta et al 2020 Fig. 9 Spatial distribution of change range of NDVI < 0.1.…”

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

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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“…In recent years, NDVI has been used by many scientists in various studies such as vegetation classification, land cover changes, vegetation phenology, continental cover mapping, and vegetation dynamics [40,41]. This index provides information on green and healthy leaf pigments that strongly reflect infrared radiation, at the same time absorbing a large portion of the visible spectrum [42]. NDVI is calculated using the formula…”

Section: Normalized Difference Vegetation Index (Ndvi) Datamentioning

confidence: 99%

Spatial and Temporal Assessment of Remotely Sensed Land Surface Temperature Variability in Afghanistan during 2000–2021

Nabizada

Rousta

Dalvi

et al. 2022

Climate

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The dynamics of land surface temperature (LST) in Afghanistan in the period 2000–2021 were investigated, and the impact of the factors such as soil moisture, precipitation, and vegetation coverage on LST was assessed. The remotely sensed soil moisture data from Land Data Assimilation System (FLDAS), precipitation data from Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), and NDVI and LST from Moderate-Resolution Imaging Spectroradiometer (MODIS) were used. The correlations between these data were analyzed using the regression method. The result shows that the LST in Afghanistan has a slightly decreasing but insignificant trend during the study period (R = 0.2, p-value = 0.25), while vegetation coverage, precipitation, and soil moisture had an increasing trend. It was revealed that soil moisture has the highest impact on LST (R = −0.71, p-value = 0.0007), and the soil moisture, precipitation, and vegetation coverage explain almost 80% of spring (R2 = 0.73) and summer (R2 = 0.76) LST variability in Afghanistan. The LST variability analysis performed separately for Afghanistan’s river subbasins shows that the LST of the Amu Darya subbasin had an upward trend in the study period, while for the Kabul subbasin, the trend was downward.

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“…Specifically, the annual NDVI showed a significant increasing trend between 1982 and 1994, and exhibited a decreasing trend since 1994 [18]. A strong increase in NDVI coverage in the Middle East was observed, and the main factors affecting the vegetation coverage in the Middle East are governmental policies [19]. Lamchin et al [20] found that temperature is the main driver of changes in vegetation greening in northeastern and central China.…”

Section: Introductionmentioning

confidence: 98%

Evolution and Climate Drivers of NDVI of Natural Vegetation during the Growing Season in the Arid Region of Northwest China

Niu

et al. 2022

Forests

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Vegetation plays an important role in linking water, atmosphere, and soil. The dynamic change in vegetation is an important indicator for the regulation of the terrestrial carbon balance and climate change. This study applied trend analysis, detrended correlation analysis, and the Hierarchical Partitioning Algorithm (HPA) to GIMMS NDVI3g data, meteorological data, and natural vegetation types for the period 1983 to 2015 to analyze the temporal and spatial changes in NDVI during the growing season and its driving factors in the arid region of northwestern China. The results showed that: (1) the growing season length (GSL) was delayed, with a regional trend of 8 d/33 a, due to a significant advancement in the start of the growing season (SOS, −7 d/33 a) and an insignificant delay to the end of growing season (EOS, 2 d/33 a). (2) The regional change in NDVI was mainly driven by temperature and precipitation, contributing to variations in NDVI of forest of 36% and 15%, respectively, and in the NDVI of grassland, of 35% and 21%, respectively. In particular, changes to forested land and medium-coverage grassland (Mgra) were closely related to temperature and precipitation, respectively. (3) The spatial distribution of the mean NDVI of forest was closely related with precipitation, temperature, and solar radiation, with these meteorological variables explaining 20%, 15%, and 10% of the variation in NDVI, respectively. Precipitation and solar radiation explained 29% and 17% of the variation in the NDVI of grassland, respectively. The study reveals the spatial–temporal evolution and driving mechanism of the NDVI of natural vegetation in the arid region of Northwest China, which can provide theoretical and data support for regional vegetation restoration and conservation.

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Anthropogenic Factors Affecting the Vegetation Dynamics in the Arid Middle East

Cited by 6 publications

References 76 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

Spatial and Temporal Assessment of Remotely Sensed Land Surface Temperature Variability in Afghanistan during 2000–2021

Evolution and Climate Drivers of NDVI of Natural Vegetation during the Growing Season in the Arid Region of Northwest China

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