Soil functional indicators in a mountain forest-rangeland mosaic of northern Iran

Kooch, Yahya; Ghorbanzadeh, Neda; Wirth, Stephan; Novara, Agata; Piri, Atefeh Shah

doi:10.1016/j.ecolind.2021.107672

Cited by 14 publications

(4 citation statements)

References 102 publications

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“…Generally, it has been reported that the soil surface behaves more actively in terms of the fertility parameters while not so accurate for the deeper layers (Rumpel, Kogel-Knabner 2011). Soil C and N are the most labile C and N fractions in the biogeochemical cycling of topsoil (Zhou et al 2015) while being affected by vegetation type and litter quality (Kooch et al 2021). POM in topsoil is more likely to originate from the organic layers than directly from fresh leaves/needles (Soucémarianadin et al 2019).…”

Section: Discussionmentioning

confidence: 99%

Soil aggregate stability index and particulate organic matter in response to differently afforested lands in the temperate regions of Iran

Soleimany¹,

Eslamdoust²,

Moslem³

et al. 2021

J. For. Sci.

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Aggregate Stability Index (ASI) and particulate organic matter (POM) are strongly influenced by land use and management. This work illustrates the effects of plantations on ASI and POM-C and POM-N in northern Iran. Three plantations of P. deltoides (PD), T. distichum (TD), A. subcordata (AS), and a fourth site ‒ adjacent abandoned lands (BL, as control) were selected. Soil samples were taken within 16 quadrats of each plantation and BL from the two depths of 0–15 cm and 15–30 cm during the summer. Soil C was signiﬁcantly higher under TD (2.10%) than under BL (2.02%) > PD (1.61%) > AS (1.30%). Soil N was found in ranked order of AS (8.99%) > TD (7.82%) > PD (5.30%) > BL (3.68%) (P < 0.019). The significantly higher ASI was found under TD (57.49) in comparison with PD (53.10), BL (51.23), and AS (36.57). The POM-C was as follows: TD (0.209%) > PD (0.141%) > AS (0.139%) > BL (0.075%) (P = 0.020). The highest POM-N was found under TD (0.035), followed by AS (0.0284%), PD (0.0288%), and BL (0.007%). The results indicate the positive effect of afforestation on soil ASI and POM-C and POM-N, especially in the surface layers of soil.

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Section: Discussionmentioning

confidence: 99%

Soil aggregate stability index and particulate organic matter in response to differently afforested lands in the temperate regions of Iran

Soleimany¹,

Eslamdoust²,

Moslem³

et al. 2021

J. For. Sci.

Self Cite

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“…Finding such new variables, the principal components, reduces to solving an eigenvalue/eigenvector issue, and the new variables are specified by the dataset at hand, not a priori. Many researchers have used the independent factor scores derived from multivariate technique of principal component factor analysis to soil and leaf litter properties [3,11,12]. The modelling component of leaf litter decomposition is widely reported in scientific literatures [13,14].…”

Section: Introductionmentioning

confidence: 99%

Application of Multivariate Principal Component Analysis for Characterization of Leaf Litters in Northern Nigeria

Akinsola,

Amapu,

Oyinlola

et al. 2024

ASRJ

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This study was to objectively describe the interrelationship between mass loss and leaf chemical parameters of litter species: Khaya senegalensis, Mangifera indica, Gmelina arborea, and Eucalyptus camaldulensis using principal component analysis. Leaf litters were analyzed for chemical compositions. Mass loss and ten litter chemical parameters such as organic carbon, total nitrogen, total phosphorus, potassium, magnesium, calcium, sodium, total soluble polyphenol, total sulphur and carbon to nitrogen ratio were investigated. Principal Component Analysis (PCA) was used to identify the variation of litter chemical properties. The results showed significant relationships between mass loss and litter chemical parameters in PC1 and PC2 axes. Khaya senegalensis has the highest loadings 84% followed by Gmelina arborea 77%, Eucalyptus camaldulensis 75.3% and Mangifera indica 64.5%. In conclusion, Khaya senegalensis showed a propensity to have a faster response in driving biogeochemical cycling during decomposition.

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“…Drylands cover approximately 40% of Earth's terrestrial surface (Prăvălie, 2016; Schimel, 2010) and dryland soils contribute to numerous important ecosystem functions and services, including climate and water regulation (Greiner et al, 2018; Ye et al, 2019), nutrient cycling and carbon sequestration (Delgado‐Baquerizo et al, 2017), and biodiversity (Kooch et al, 2021). Unfortunately, dryland soils are particularly susceptible to degradation (Eldridge, Delgado‐Baquerizo, et al, 2020), which is concerning because drylands are being increasingly affected by multiple pressures.…”

Section: Introductionmentioning

confidence: 99%

“…Soil multifunctionality is a powerful indicator for assessing the impacts of disturbance and the success of restoration efforts in drylands and other ecosystems globally (Eldridge, Delgado‐Baquerizo, et al, 2020; Read et al, 2016). In drylands, soil surface attributes, including biotic communities, could be particularly effective proxies of soil multifunctionality because they respond rapidly to changes in climate and land‐use, and influence numerous important soil processes (Eldridge, Delgado‐Baquerizo, et al, 2020; Kooch et al, 2021; Maestre et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Biocrust diversity enhances dryland saline soil multifunctionality

et al. 2022

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Biocrusts are multifaceted communities including mosses, lichens, and cyanobacteria that are crucial for sustaining soil functions in drylands. Most studies on biocrust functions to date have focused on biocrust cover and development, largely in nonsaline soils, and we know very little about the importance of biocrust diversity for maintaining multifunctionality in saline dryland soils. We assessed the direct and indirect linkages between biocrust richness, soil texture and salinity and soil multifunctionality by measuring 13 variables characterizing soil biological, nutrient and hydrological functions across 32 plots in a salinized dryland in northeastern Iran. We assessed the species richness of biocrust patches and characterized soil functions in bare soils. Overall, biocrust species richness declined with soil clay content and soil salinity, whereas soil salinity increased with soil clay content. Structural equation modeling showed a strong positive association between biocrust species richness and all measured dryland soil functions (soil biological, nutrient, and hydrological functions), but soil hydrological function declined with soil salinity. Overall, dryland soil multifunctionality was positively associated with biocrust species richness but negatively associated with soil clay content. Biocrust species richness likely enhances soil multifunctionality via the distinct roles of species and biocrust functional groups in providing carbon and nutrient inputs, creating favourable microsites, enhancing infiltration, and facilitating soil microbial colonization in saline dryland soils. Overall, our findings highlight a key role for biocrust diversity in facilitating and maintaining soil multifunctionality in drylands affected by soil salinity.

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Soil functional indicators in a mountain forest-rangeland mosaic of northern Iran

Cited by 14 publications

References 102 publications

Soil aggregate stability index and particulate organic matter in response to differently afforested lands in the temperate regions of Iran

Soil aggregate stability index and particulate organic matter in response to differently afforested lands in the temperate regions of Iran

Application of Multivariate Principal Component Analysis for Characterization of Leaf Litters in Northern Nigeria

Biocrust diversity enhances dryland saline soil multifunctionality

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