Soil functional indicators in mixed beech forests are clearly species-specific

Kooch, Yahya; Ghorbanzadeh, Neda; Hajimirzaaghaee, Samaneh; Egli, Markus

doi:10.1007/s11676-022-01548-4

Cited by 6 publications

(3 citation statements)

References 98 publications

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“…The difference between P i and PET i for the month i is obtained using (13). The probability density function of a three-parameter Log-logistic distributed variable has been defined as (14). The probability distribution function of D i based on the Log-logistic distribution is then given by (15).…”

Section: Methodsmentioning

confidence: 99%

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Assessment of Spatiotemporal Characteristic of Droughts Using In Situ and Remote Sensing-Based Drought Indices

Jalayer

Sharifi

Abbasi‐Moghadam

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Drought has been identified as one of the significant complicated natural disasters exacerbated by land degradation and climate change. Hence, monitoring drought and evaluating its spatiotemporal dynamics are essential to manage regional drought conditions and protecting the natural environment. In this study, various single remote sensing-based drought indices including soil moisture condition index (SMCI), precipitation condition index (PCI), temperature condition index (TCI), and vegetation condition index (VCI) and combined RS-based drought Indices including optimized meteorological drought index (OMDI) and synthesized drought index (SDI) have been used to investigate the spatiotemporal variations of meteorological and agricultural droughts between 2000 and 2021 in Iran. The in situ drought indices, including the standardized precipitation index (SPI) and standardized precipitation evapotranspiration index (SPEI) series of 1, 3, 6, 12, and 24 months were utilized to verify remote sensing-based drought indices and evaluate their applicability for analyzing drought conditions. The results indicated that the correlation coefficients of the in situ drought indices with the combined drought indices are higher than the RS-based single drought indexes. Generally, single-factor drought indexes, including VCI, TCI, PCI, and SMCI, have specific characteristics. The PCI and SMCI have an acceptable correlation with the short-term SPI and SPEI and are more applicable to monitoring short-term drought conditions. Further, the TCI has better performance in monitoring long-term drought conditions in Iran. This research concluded that the central, eastern, and southeastern parts of Iran mainly were experiencing exceptional and extreme drought conditions as the worst agricultural and meteorological drought conditions observed in the years 2008 and 2021 in the region during the last 20 years. The results also showed that, in 2019 and 2020, most areas of Iran had higher OMDI and

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Section: Methodsmentioning

confidence: 99%

“…It is measurable by evaluating stream flow, snowpack, and lake and groundwater levels. To understand the association between agricultural and meteorological droughts, it is necessary to examine the correlation between vegetation indices and climate variability [5], [13], [14], [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Spatiotemporal Characteristic of Droughts Using In Situ and Remote Sensing-Based Drought Indices

Jalayer

Sharifi

Abbasi‐Moghadam

et al. 2023

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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“…Esistono lavori pubblicati che dimostrano l'azione di parti di DNA nel suolo con ripercussioni importanti sull'evoluzione biologica (Mazzoleni et al 2015, Kooch et al 2022, Zheng et al 2022. I microrganismi del suolo di ambienti poco antropizzati possono avere un indice di biodiversità più basso ma essere filogeneticamente più collegati tra loro di quelli trovati in ambienti equivalenti più antropizzati (Mo et al 2022 -Fig.…”

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Vegetation, soil, DNA and natural evolution

Zanella¹

2023

Forest@

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Vegetation, soil, DNA and natural evolutionDialogue with Sandro Pignatti on natural evolution, considering the soil as a living matrix in which the recycling of organic matter and DNA takes place. How vegetation interacts with the soil and how it is not the species that evolve but the ecosystem that contains them. The hypothesis of a still poorly understood genetic exchange in relation to the biodegradation process is raised. Recent research in soil microbiology and biodiversity highlights a functional and primordial collaboration between living beings in the exploitation of natural resources.

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