Analysis of the recent trends in vegetation dynamics and its relationship with climatological factors using remote sensing data for Caspian Sea watersheds in Iran

Rousta, Imán; Mansourmoghaddam, Mohammad; Ólafsson, Haraldur; Krzyszczak, Jaromir; Baranowski, Piotr; Zhang, Hao; Tkaczyk, Przemysław

doi:10.31545/intagr/150020

Cited by 14 publications

(10 citation statements)

References 59 publications

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“…During the winter LST had a greater impact on VC variation than precipitation, and conversely, in summer, precipitation impacted vegetation to a higher degree than LST. In another study, the vegetation dynamics and its relationship with climatological factors for Caspian Sea watersheds in Iran was analyzed [66]. It was found that the correlations of vegetation coverage with ET and LST in winter were positive and significant (R = 0.46 and 0.55, p-value = 0.05, respectively), while the correlation with the precipitation was not significant.…”

Section: Discussionmentioning

confidence: 99%

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

Nabizada¹,

Rousta²,

Dalvi³

et al. 2022

Preprint

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The vulnerability of vegetation in the Middle East to meteorological conditions and climate change, especially those leading to drought, is high. Despite the importance of the Amu Darya and Kabul River Basins (ADB and KRB) as a region in which more than 15 million people live, and its vulnerability to global warming, only several studies addressed the issue of the linkage of meteorological parameters on vegetation for the eastern basins of Afghanistan. In this study, data from the Moderate Resolution Imaging Spectroradiometer (MODIS), Global Precipitation Measurement Mission (GPM), and Land Data Assimilation System (GLDAS) to examine the impact of meteorological parameters on vegetation for the eastern basins of Afghanistan for the period from 2000 to 2021. The study utilized several indices, such as Precipitation Condition Index (PCI), Temperature Condition Index (TCI), Soil Moisture Condition Index (SMCI), and Microwave Integrated Drought Index (MIDI). The relationships between meteorological quantities, drought conditions, and vegetation variations were examined by analyzing the anomalies and using regression methods. The results showed that the years 2000, 2001, and 2008 had the lowest vegetation coverage (VC) (56, 56, and 55% of the study area, respectively). On the other hand, the years 2010, 2013, 2016, and 2020 had the highest VC (71, 71, 72, and 72% of the study area, respectively). The trend of the VC for the eastern basins of Afghanistan for the period from 2000 to 2021 was upward. High correlations between VC and soil moisture (R = 0.70, p = 0.0004), and precipitation (R = 0.5, p = 0.008) were found, whereas no significant correlation was found between VC and drought index MIDI. It was revealed that soil moisture, precipitation, land surface temperature, and area under meteorological drought conditions explained 45% of annual VC variability.

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Section: Discussionmentioning

confidence: 99%

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

Nabizada¹,

Rousta²,

Dalvi³

et al. 2022

Preprint

Self Cite

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“…It delivers information on the abundance, phenology, and wellbeing of vegetation [88]. To measure the NDVI, the reflectance values from red (R) and near-infrared (NIR) bands are used [86,89]: Before calculating the NDVI, the reflectance values from the red (R) and near-infrared (NIR) bands were derived as follows [87]:…”

Section: Calculation Of Ndvimentioning

confidence: 99%

Investigation and Prediction of the Land Use/Land Cover (LU/LC) and Land Surface Temperature (LST) Changes for Mashhad City in Iran during 1990–2030

et al. 2023

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Studies on how cities are affected by urban heat islands (UHI) are critical nowadays for a better understanding of the connected effects and for providing helpful insights for sustainable city development planning. In this study, Landsat-5 Thematic Mapper (TM), Landsat-7 Enhanced Thematic Mapper+ (ETM+), and Landsat-8 Operational Land Imager (OLI) images were used to assess the dynamics of the spatiotemporal pattern of land use/land cover (LU/LC) and land surface temperature (LST) in the metropolitan city of Mashhad, Iran in the period between 1990 and 2019. The Markov chain model (MCM) was used to predict LU/LC and LST for 2030. In the analyzed LU/LC maps, three LU/LC classes were distinguished, including built-up land (BUL), vegetated land (VL), and bare land (BL) using the maximum likelihood (ML) classification method. The collected data showed different variations in the geographical pattern of Mashhad LST during the research period that impacted the LST in this metropolis. The study evaluated the variations in LU/LC classes and evaluated their impact on the LST. The value of the LST was positively correlated with the occurrence of the built-up land (BUL), and with the bare land areas, while it was negatively correlated with the occurrence of the VL areas. The analysis of changes observed over three decades with 10-year intervals and the prediction of the LU/LC and LST for 2030 constitute an important contribution to the delineation of the dynamics of long LU/LC and LST records. These innovative results may have an important impact on policymaking fostering environmental sustainability, such as the control and management of urban expansion of Mashhad in connection with UHI.

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“…although almonds are a drought-resistant species, with climate change, drought stress is increasingly becoming one of the main limiting factors for horticultural plant growth. Plants can change their morphological, physiological, and metabolism-related responses at both organ and cellular levels to reduce the drought severity (Alavipanah, Mansourmoghaddam, Gomeh, Galehban, & Hamzeh, 2022; Haider et al, 2018;Rousta et al, 2022). With climate change, drought stress has become more common and its impact on existing ecosystems is more important to the scienti c community (Mansourmoghaddam et al, 2021;.…”

Section: Introductionmentioning

confidence: 99%

Improvement of growth and physiological characteristics and antioxidant enzyme activity under drought stress in almond (Prunus dulcis L.) using selected promising almond genotypes

Gohari

Imani

Talaei

et al. 2023

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The scarcity of water is a primary obstacle to the growth and performance of horticultural crops. In this study, the physiological and developmental response of promising almond genotypes under deficit irrigation was investigated. This research was conducted as a factorial experiment consisting of two factors in a completely randomized design with three replications during 2019 and 2020, at the Temperate Fruit Research Center, Horticultural Research Institute. The first factor was almond genotype at ten levels, and the second factor was drought stress at three levels. The results showed that growth (such as plant height, trunk diameter at the top of the plant, length of new branch growth, leaf yellowness) and physiological characteristics such as chlorophyll index based on the SPAD criterion, relative leaf water content, chlorophyll fluorescence and activity of leaf enzymes including SOD, POD, CAT and APX. according to the type of genotype in the conditions of drought stress were different. Among the traits studied, higher proline, RWC and FV/Fm indicated a higher ability to tolerate drought stress in almonds. According to the results of the present study, for instance, drought stress has a significant effect on photochemical efficiency (FV/Fm) of 10 selected almond genotypes. So that, the AH1-99 genotype with 0.585 shows the lowest value and the A-7-100 genotype with 0.751 has the highest value. These results indicate that genotypes, A-7-100, A-100-13, and A-100-8 has more tolerance and adaptation to drought stress than other genotypes respectively. These genotypes are considered for further evaluation to confirm the varieties in order to recommend them for general cultivation in farmer's fields in drought-affected areas. The drought-sensitive genotypes, AH1-99 and A-124-1 were also identified in the present study, which are rich assets to be used as contrasting parents in hybridization programs.

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Analysis of the recent trends in vegetation dynamics and its relationship with climatological factors using remote sensing data for Caspian Sea watersheds in Iran

Cited by 14 publications

References 59 publications

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

A Remotely Sensed Study of the Impact of Meteorological Parameters on Vegetation for the Eastern Basins of Afghanistan

Investigation and Prediction of the Land Use/Land Cover (LU/LC) and Land Surface Temperature (LST) Changes for Mashhad City in Iran during 1990–2030

Improvement of growth and physiological characteristics and antioxidant enzyme activity under drought stress in almond (Prunus dulcis L.) using selected promising almond genotypes

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